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8,127,220 | 55 | 65 | 55. A computer-readable memory device storing instructions executable by at least one processor, the computer-readable memory device comprising: one or more instructions to receive a search query; one or more instructions to provide a list of search results in response to the search query; one or more instructions to receive selection of one of the search results in the list of search results; one or more instructions to identify links in a document corresponding to the selected search result; one or more instructions to determine a score for one of the links based on a degree of match between the search query and a content of a linked document pointed to by the one of the links; one or more instructions to modify the document based on the determined score for the one of the links; and one or more instructions to provide the modified document. | 55. A computer-readable memory device storing instructions executable by at least one processor, the computer-readable memory device comprising: one or more instructions to receive a search query; one or more instructions to provide a list of search results in response to the search query; one or more instructions to receive selection of one of the search results in the list of search results; one or more instructions to identify links in a document corresponding to the selected search result; one or more instructions to determine a score for one of the links based on a degree of match between the search query and a content of a linked document pointed to by the one of the links; one or more instructions to modify the document based on the determined score for the one of the links; and one or more instructions to provide the modified document. 65. The computer-readable memory device of claim 55 , wherein the one or more instructions to modify the document include: one or more instructions to determine that the determined score, for the one of the links, is greater than a particular threshold, one or more instructions to identify additional information regarding a linked document pointed to by the one of the links when the determined score, for the one of the links, is greater than the particular threshold, and one or more instructions to provide the additional information for the one of the links. | 0.566154 |
9,977,775 | 1 | 17 | 1. A computer-readable storage medium that is not a signal, the computer-readable storage medium for storing data for access by a program being executed on a data processing system, comprising: a dictionary data structure stored in the computer-readable storage medium, the dictionary data structure including information used by the program and comprising: a first table comprised of entries each representing a natural language term, each entry of the first table containing a term ID identifying its term; a second table comprised of entries each representing a definition, each entry of the second table containing a definition ID identifying its definition; and a third table comprised of entries each representing correspondence between a term and a definition defining the term, each entry of the third table containing a term ID identifying the defined term and a definition ID identifying the defining definition, such that the contents of the data structure are usable to identify any definitions corresponding to a term. | 1. A computer-readable storage medium that is not a signal, the computer-readable storage medium for storing data for access by a program being executed on a data processing system, comprising: a dictionary data structure stored in the computer-readable storage medium, the dictionary data structure including information used by the program and comprising: a first table comprised of entries each representing a natural language term, each entry of the first table containing a term ID identifying its term; a second table comprised of entries each representing a definition, each entry of the second table containing a definition ID identifying its definition; and a third table comprised of entries each representing correspondence between a term and a definition defining the term, each entry of the third table containing a term ID identifying the defined term and a definition ID identifying the defining definition, such that the contents of the data structure are usable to identify any definitions corresponding to a term. 17. The computer-readable storage medium of claim 1 , the data structure further comprising a fourth table comprised of entries each representing a correspondence between two terms, each entry of the fourth table containing two term IDs identifying the two terms and an indication either that the two terms are synonyms or that the two terms are antonyms. | 0.65534 |
8,165,886 | 1 | 3 | 1. A speech processing method, comprising: receiving a speech input representing at least one of a command and a stream of data; analyzing the speech for characteristics of a command structure, and if so, entering a command mode; in a command mode, analyzing the speech input with respect to a set of at least one grammar representation, to determine an ambiguity and a completeness; based in the determined ambiguity and completeness, prompting the user in a contextually appropriate manner for further speech input, to at least one of reduce ambiguity and increase completeness; and if the speech input is sufficiently unambiguous and sufficiently complete, generating an output representing the command; and in an absence of a characteristic of a command structures: treating the speech input as one representative of data; and generating an output as a symbolic representation of the speech input, wherein the output generated representing the command is targeted to one of a plurality of respective applications while preserving a respective prior system state, wherein at least one of: after command execution, and in dependence on a result thereof, a system state is selectively restored or processing assumed by another application without restoring the prior system state; and a command restores one of a previously preserved system state. | 1. A speech processing method, comprising: receiving a speech input representing at least one of a command and a stream of data; analyzing the speech for characteristics of a command structure, and if so, entering a command mode; in a command mode, analyzing the speech input with respect to a set of at least one grammar representation, to determine an ambiguity and a completeness; based in the determined ambiguity and completeness, prompting the user in a contextually appropriate manner for further speech input, to at least one of reduce ambiguity and increase completeness; and if the speech input is sufficiently unambiguous and sufficiently complete, generating an output representing the command; and in an absence of a characteristic of a command structures: treating the speech input as one representative of data; and generating an output as a symbolic representation of the speech input, wherein the output generated representing the command is targeted to one of a plurality of respective applications while preserving a respective prior system state, wherein at least one of: after command execution, and in dependence on a result thereof, a system state is selectively restored or processing assumed by another application without restoring the prior system state; and a command restores one of a previously preserved system state. 3. The speech processing method of claim 1 , wherein, if the speech input represents a command to enter a data input mode, entering a data input mode wherein subsequent speech input is analyzed for a command, if a command is found determining a context, if a command is in the context of data input, treating the speech input as one representative of data, otherwise generating an output as a symbolic representation of the speech input. | 0.562124 |
9,251,289 | 10 | 11 | 10. The system of claim 8 , the method comprising populating a string database with a plurality of known strings, including the known string, respective known strings in the string database associated with known string IDs. | 10. The system of claim 8 , the method comprising populating a string database with a plurality of known strings, including the known string, respective known strings in the string database associated with known string IDs. 11. The system of claim 10 , a second known string in the string database associated with a second known string ID different than the known string ID. | 0.726277 |
8,200,745 | 35 | 36 | 35. A framework system for a handheld client device comprising: a client-side framework; a server/proxy client for controlling and modifying behavior of said client without having to update client code and for unifying communication with said client to a single protocol; and a programming language for creating a device-specific application by adapting abstract representations of presentation and system objects within said framework to interface with a native operating system of said handheld client device; wherein said server/proxy client, upon receipt of a request for specific up to date presentation components from a client system, checks if the client system's original presentation components and/or executable bytecodes have expired; wherein said server proxy client updates said client system with raw data, presentation, and logic components, the raw data component comprising data retrieved from a server by said server proxy client in response to a client request, using a universal data format; wherein said server proxy client separates raw data and presentation components of said response and places said raw data component into said universal data format, wherein said raw data and said presentation components are sent independently by said server proxy client to said client system; wherein said server proxy client receives presentation and logic component updates for said client system; and wherein said presentation component updates are for a specific client device type; wherein said logic component updates comprise updates to a common code base that is shared between different client device types and which enables said server proxy client to control a feature set of said client system independently of an implementation supplied by native client code and without modifying said native client code; and wherein said client system reuses at least a portion of said raw data for other display purposes. | 35. A framework system for a handheld client device comprising: a client-side framework; a server/proxy client for controlling and modifying behavior of said client without having to update client code and for unifying communication with said client to a single protocol; and a programming language for creating a device-specific application by adapting abstract representations of presentation and system objects within said framework to interface with a native operating system of said handheld client device; wherein said server/proxy client, upon receipt of a request for specific up to date presentation components from a client system, checks if the client system's original presentation components and/or executable bytecodes have expired; wherein said server proxy client updates said client system with raw data, presentation, and logic components, the raw data component comprising data retrieved from a server by said server proxy client in response to a client request, using a universal data format; wherein said server proxy client separates raw data and presentation components of said response and places said raw data component into said universal data format, wherein said raw data and said presentation components are sent independently by said server proxy client to said client system; wherein said server proxy client receives presentation and logic component updates for said client system; and wherein said presentation component updates are for a specific client device type; wherein said logic component updates comprise updates to a common code base that is shared between different client device types and which enables said server proxy client to control a feature set of said client system independently of an implementation supplied by native client code and without modifying said native client code; and wherein said client system reuses at least a portion of said raw data for other display purposes. 36. The system of claim 35 , wherein said server/proxy client comprises: a proxy system module; a protocol handler interpreting request messages from said client; a content storage device; and maintaining current state of a session between said client and a host system. | 0.5 |
9,098,476 | 4 | 6 | 4. The method of claim 1 , wherein the observer structure comprises at least one of a graphical user interface or a programming language object. | 4. The method of claim 1 , wherein the observer structure comprises at least one of a graphical user interface or a programming language object. 6. The method of claim 4 , wherein the programming language object is a hierarchical tree. | 0.5 |
8,391,618 | 13 | 17 | 13. A computer-implemented method, comprising: determining a plurality of semantic category scores for a digital image via application of a corresponding plurality of classifiers; and automatically determining a semantic category profile for the image based on the plurality of semantic category scores, wherein the semantic category profile characterizes semantic content of the image, and is useable to perform semantic based operations with respect to the image; analyzing a plurality of semantic categories with respect to a plurality of digital images based on one or more criteria, wherein the one or more criteria comprise at least one of: relevance of each of the semantic categories; consistency with human based classification; or accuracy of each of the semantic categories; and automatically performing: determining a subset of the semantic categories that efficiently spans the semantic content of the plurality of digital images based on said analyzing; or ranking the plurality of sets of semantic categories based on said analyzing. | 13. A computer-implemented method, comprising: determining a plurality of semantic category scores for a digital image via application of a corresponding plurality of classifiers; and automatically determining a semantic category profile for the image based on the plurality of semantic category scores, wherein the semantic category profile characterizes semantic content of the image, and is useable to perform semantic based operations with respect to the image; analyzing a plurality of semantic categories with respect to a plurality of digital images based on one or more criteria, wherein the one or more criteria comprise at least one of: relevance of each of the semantic categories; consistency with human based classification; or accuracy of each of the semantic categories; and automatically performing: determining a subset of the semantic categories that efficiently spans the semantic content of the plurality of digital images based on said analyzing; or ranking the plurality of sets of semantic categories based on said analyzing. 17. The method of claim 13 , wherein the application of the plurality of classifiers is performed via multiple devices operating in conjunction over a network. | 0.913304 |
9,710,961 | 9 | 10 | 9. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, determine context information for rendering a geographic map on a user interface of a device, wherein the context information includes a recent history of online searches, recently viewed websites, one or more keywords in recent communications with contacts of a user of the device, or a combination thereof collected at the device; classify a plurality of objects available for display in the geographic map based on a level of importance of each of the objects to the user with respect to the context information; in response to a change of semantic zoom levels selected by the user, prioritize rendering of the objects based on the classification; and initiate a rendering of the objects in the geographic map based, at least in part, on the prioritization and a temporal order using a vector rendering engine, while displaying an identical physical area in the geographic map. | 9. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, determine context information for rendering a geographic map on a user interface of a device, wherein the context information includes a recent history of online searches, recently viewed websites, one or more keywords in recent communications with contacts of a user of the device, or a combination thereof collected at the device; classify a plurality of objects available for display in the geographic map based on a level of importance of each of the objects to the user with respect to the context information; in response to a change of semantic zoom levels selected by the user, prioritize rendering of the objects based on the classification; and initiate a rendering of the objects in the geographic map based, at least in part, on the prioritization and a temporal order using a vector rendering engine, while displaying an identical physical area in the geographic map. 10. An apparatus of claim 9 , wherein a section of the geographic map corresponding to one or more of the objects associated with the highest prioritization is rendered first, and the context information further includes a current geographic location of the device, one or more historical travel patterns of the device, one or more activities of the user, or a combination thereof. | 0.641243 |
8,891,871 | 6 | 7 | 6. A form recognition apparatus for recognizing a character string existing in an arbitrary table structure in a form, comprising: an image acquisition unit capable of obtaining a digitized form image of the form; a character string recognition unit capable of recognizing a character string existing in the form image obtained by the image acquisition unit; a character string extraction unit capable of extracting a headline wording that is a predetermined character string from character strings recognized by the character string recognition unit; a position specification unit capable of specifying a position in the form image, in which a headline wording not recognized by the character string recognition unit, on the basis of a result extracted by the character string extraction unit; a phrase creation unit capable of creating a headline wording to existing a position specified by the position specification unit; and a correspondence relationship specification unit capable of specifying a correspondence relationship between the headline wording including a headline wording created by the phrase creation unit and a character string other than the headline wording recognized by the character string recognition unit. | 6. A form recognition apparatus for recognizing a character string existing in an arbitrary table structure in a form, comprising: an image acquisition unit capable of obtaining a digitized form image of the form; a character string recognition unit capable of recognizing a character string existing in the form image obtained by the image acquisition unit; a character string extraction unit capable of extracting a headline wording that is a predetermined character string from character strings recognized by the character string recognition unit; a position specification unit capable of specifying a position in the form image, in which a headline wording not recognized by the character string recognition unit, on the basis of a result extracted by the character string extraction unit; a phrase creation unit capable of creating a headline wording to existing a position specified by the position specification unit; and a correspondence relationship specification unit capable of specifying a correspondence relationship between the headline wording including a headline wording created by the phrase creation unit and a character string other than the headline wording recognized by the character string recognition unit. 7. The form recognition apparatus according to claim 6 , further comprising: a table structure determination unit capable of for determining a table structure existing in the form image, on the basis of a headline wording extracted by the character string extraction unit and arrangement of the headline wordings in the form image, wherein the position specification unit specifies the position using a determination result of the table structure determination unit; and the phrase creation unit creates a headline wording to exist in the position from a determination result of the table structure determination unit. | 0.60129 |
8,744,980 | 5 | 7 | 5. An information handling system, comprising: one or more processing devices configured to execute a network management system (NMS) that includes an ontology-based command line interface (CLI) knowledge model: where the one or more processing devices of the information handling system are configured to be communicatively-coupled across a network to one or more network devices of a networking system; where the one or more processing devices are configured to execute the NMS to maintain and administer the networking system using the ontology-based CLI knowledge model; where the ontology-based CLI knowledge model comprises an ontology build module, the one or more processing devices configured to execute the ontology build module as one or more ontology build steps that comprise: a seed learning step where build parameter information is received by the ontology build module, a learning and knowledge building step for CLI command structure and network device behavior where each given one of the network devices is interrogated over the network to elicit and receive a response from the given network device describing one or more of the CLI characteristics it possesses, and a CLI knowledge model creation step where the one or more CLI characteristics received from each given network device is organized as CLI data to create a CLI knowledge model; and where the information handling system further comprises at least one storage device coupled to the one or more processing devices; and where the one or more processing devices are configured to execute ontology build steps comprising: issuing a CLI stimulus from the information handling system across the network to each given network device being interrogated, receiving and collecting at least one text based CLI response back across the network from each given interrogated network device, the CLI response includes CLI output data, classifying collected CLI data received from each given interrogated network device, analyzing the classified CLI data, the current location in CLI command structure, and the current state of each given network device, determining a set of commands based on the analysis of the classified CLI data, the current location in CLI command structure, and the current state of each given network device, and creating the determined set of commands for issuance across the network to the given network device. | 5. An information handling system, comprising: one or more processing devices configured to execute a network management system (NMS) that includes an ontology-based command line interface (CLI) knowledge model: where the one or more processing devices of the information handling system are configured to be communicatively-coupled across a network to one or more network devices of a networking system; where the one or more processing devices are configured to execute the NMS to maintain and administer the networking system using the ontology-based CLI knowledge model; where the ontology-based CLI knowledge model comprises an ontology build module, the one or more processing devices configured to execute the ontology build module as one or more ontology build steps that comprise: a seed learning step where build parameter information is received by the ontology build module, a learning and knowledge building step for CLI command structure and network device behavior where each given one of the network devices is interrogated over the network to elicit and receive a response from the given network device describing one or more of the CLI characteristics it possesses, and a CLI knowledge model creation step where the one or more CLI characteristics received from each given network device is organized as CLI data to create a CLI knowledge model; and where the information handling system further comprises at least one storage device coupled to the one or more processing devices; and where the one or more processing devices are configured to execute ontology build steps comprising: issuing a CLI stimulus from the information handling system across the network to each given network device being interrogated, receiving and collecting at least one text based CLI response back across the network from each given interrogated network device, the CLI response includes CLI output data, classifying collected CLI data received from each given interrogated network device, analyzing the classified CLI data, the current location in CLI command structure, and the current state of each given network device, determining a set of commands based on the analysis of the classified CLI data, the current location in CLI command structure, and the current state of each given network device, and creating the determined set of commands for issuance across the network to the given network device. 7. The information handling system of claim 5 , where the one or more processing devices are configured to organize the one or more CLI characteristics received from each given network device as CLI data using one or more ontology related standards. | 0.680769 |
8,745,081 | 3 | 4 | 3. The method of claim 1 , further comprising: selecting by the processor, a subset of the news sources based on profile data of the requesting user comprising age, gender and declared interests in addition to the geographic location of the requesting user. | 3. The method of claim 1 , further comprising: selecting by the processor, a subset of the news sources based on profile data of the requesting user comprising age, gender and declared interests in addition to the geographic location of the requesting user. 4. The method of claim 3 , further comprising, determining that the requesting user is logged in and the geographic location and the profile data is obtained from information explicitly provided by the requesting user. | 0.5 |
9,645,987 | 1 | 18 | 1. A computer-implemented method comprising: extracting a topic from a digital text document, wherein the extracting includes identifying a first additional term in the digital text document that co-occurs with the topic; obtaining a plurality of concepts; automatically generating a first query that includes the topic and the first additional term; determining coherency of the first query by mapping the first additional term to the plurality of concepts; in response to determining that the first query is not coherent, identifying a second additional term in the digital text document that co-occurs with the topic; automatically generating a second query that includes the topic, the first additional term, and the second additional term; identifying a plurality of candidate videos from a video source, wherein the plurality of candidate videos are identified in response to the second query; selecting a video from the plurality of candidate videos for the extracted topic based on a relationship between the extracted topic and the plurality of concepts, and based on relationships between the plurality of concepts and the plurality of candidate videos; and associating the selected video with the extracted topic. | 1. A computer-implemented method comprising: extracting a topic from a digital text document, wherein the extracting includes identifying a first additional term in the digital text document that co-occurs with the topic; obtaining a plurality of concepts; automatically generating a first query that includes the topic and the first additional term; determining coherency of the first query by mapping the first additional term to the plurality of concepts; in response to determining that the first query is not coherent, identifying a second additional term in the digital text document that co-occurs with the topic; automatically generating a second query that includes the topic, the first additional term, and the second additional term; identifying a plurality of candidate videos from a video source, wherein the plurality of candidate videos are identified in response to the second query; selecting a video from the plurality of candidate videos for the extracted topic based on a relationship between the extracted topic and the plurality of concepts, and based on relationships between the plurality of concepts and the plurality of candidate videos; and associating the selected video with the extracted topic. 18. The method of claim 1 , wherein obtaining the plurality of concepts comprises: obtaining the plurality of concepts from a concept ontology that is external to the digital text document. | 0.844572 |
8,107,605 | 17 | 19 | 17. The apparatus of claim 1 , further comprising a camera coupled to the control circuitry of the simplified computer device and operable to capture images in substantially real time for transmission to a remote computer device. | 17. The apparatus of claim 1 , further comprising a camera coupled to the control circuitry of the simplified computer device and operable to capture images in substantially real time for transmission to a remote computer device. 19. The apparatus of claim 17 , wherein the operation of the camera coupled to the simplified computer device is controlled by signals sent from the communication site. | 0.505882 |
8,903,754 | 1 | 3 | 1. A process for reporting identified items of interest associated with a brand associated with an identity of an entity, the process comprising: generating, by a computer, a seed document containing criteria representative of items of interest representative of a brand associated with an identity of a selected entity, wherein the items of interest are associated with the identity of the selected entity by a policy for associating items of interest with brand indicia of predetermined entities; receiving, by the computer, the seed document containing the criteria into a repository to initialize the repository, wherein the repository comprises information describing brand indicia representative of the selected entity; analyzing, by the computer, a selected source material using the criteria in the seed document in combination with the repository, by selectively applying adapters associated with specific types of content contained within the selected source material to perform analysis including semantic analysis and pattern matching; responsive to the analysis, the computer identifying a set of items of interest in the selected source material that meet the criteria representative of items of interest associated with the selected entity to form an identified set of items of interest; and generating a report wherein the report includes the identified set of items of interest, by the computer by: filtering a result, by the computer, using a set of rules to form a filtered result; prompting a user, by the computer, to accept or reject an identified item of interest in the filtered result; responsive to receiving an acceptance, the computer increasing a relevancy score associated with the identified item of interest; responsive to receiving a rejection, the computer decreasing the relevancy score associated with the identified item of interest; determining, by the computer, whether a relevancy score associated with the identified item of interest meets a predetermined threshold value; responsive to the relevancy score associated with the identified item of interest not meeting the predetermined threshold value, the computer filtering the result to remove the identified item of interest from the identified set of items of interest in the filtered result to form a remaining set of identified items of interest in the filtered result; linking an identified item of interest in the remaining set of identified items of interest in the filtered result, by the computer, to a corresponding document in the selected source in which the identified item of interest is located; marking the identified item of interest in the remaining set of identified items of interest in the filtered result for review; and updating the repository, by the computer, using information associated with the remaining set of identified items of interest in the filtered result including respective relevancy scores. | 1. A process for reporting identified items of interest associated with a brand associated with an identity of an entity, the process comprising: generating, by a computer, a seed document containing criteria representative of items of interest representative of a brand associated with an identity of a selected entity, wherein the items of interest are associated with the identity of the selected entity by a policy for associating items of interest with brand indicia of predetermined entities; receiving, by the computer, the seed document containing the criteria into a repository to initialize the repository, wherein the repository comprises information describing brand indicia representative of the selected entity; analyzing, by the computer, a selected source material using the criteria in the seed document in combination with the repository, by selectively applying adapters associated with specific types of content contained within the selected source material to perform analysis including semantic analysis and pattern matching; responsive to the analysis, the computer identifying a set of items of interest in the selected source material that meet the criteria representative of items of interest associated with the selected entity to form an identified set of items of interest; and generating a report wherein the report includes the identified set of items of interest, by the computer by: filtering a result, by the computer, using a set of rules to form a filtered result; prompting a user, by the computer, to accept or reject an identified item of interest in the filtered result; responsive to receiving an acceptance, the computer increasing a relevancy score associated with the identified item of interest; responsive to receiving a rejection, the computer decreasing the relevancy score associated with the identified item of interest; determining, by the computer, whether a relevancy score associated with the identified item of interest meets a predetermined threshold value; responsive to the relevancy score associated with the identified item of interest not meeting the predetermined threshold value, the computer filtering the result to remove the identified item of interest from the identified set of items of interest in the filtered result to form a remaining set of identified items of interest in the filtered result; linking an identified item of interest in the remaining set of identified items of interest in the filtered result, by the computer, to a corresponding document in the selected source in which the identified item of interest is located; marking the identified item of interest in the remaining set of identified items of interest in the filtered result for review; and updating the repository, by the computer, using information associated with the remaining set of identified items of interest in the filtered result including respective relevancy scores. 3. The process of claim 1 , wherein selectively applying adapters associated with the specific types of content contained within the selected source material further comprises: selecting, by the computer, an adapter from a set of adapters comprising a text adapter, a voice adapter, an image adapter, a graphic adapter, a programming language specific adapter, a binary adapter and a non-structured content adapter. | 0.56499 |
8,275,362 | 1 | 5 | 1. A computer-implemented method of presenting information to a user in which a computer system initiates execution of software instructions stored in memory, the computer-implemented method comprising: receiving one or more ambiguous characters via a reduced-entry keypad of a wireless phone, the one or more ambiguous characters received as a sequence of numbers input through the reduced-entry keypad, each respective ambiguous character being a number that represents one of at least two disambiguated letters; exchanging at least one of the ambiguous characters with a host by transmitting the sequence of numbers to the host across a wireless network, exchanging the at least one of the ambiguous characters including exchanging the sequence of numbers upon receiving an amount of numbers in the sequence that meets an initial predetermined threshold amount of numbers, and exchanging subsequently received numbers, received as part of the sequence of numbers, after receiving an amount of the subsequently received numbers above a second predetermined threshold amount of numbers; receiving, from the host, results that represent disambiguated terms corresponding to the ambiguous characters exchanged with the host; rendering the results in a display of the wireless phone in a manner that enables identification of which of the disambiguated terms will be used upon a received selection of a displayed result; receiving, from the host, updated results that represent disambiguated terms corresponding to the subsequently received numbers exchanged with the host; rendering the updated results in the display of the wireless phone; and in response to receiving a selection of one of the disambiguated terms, displaying information corresponding to the selection. | 1. A computer-implemented method of presenting information to a user in which a computer system initiates execution of software instructions stored in memory, the computer-implemented method comprising: receiving one or more ambiguous characters via a reduced-entry keypad of a wireless phone, the one or more ambiguous characters received as a sequence of numbers input through the reduced-entry keypad, each respective ambiguous character being a number that represents one of at least two disambiguated letters; exchanging at least one of the ambiguous characters with a host by transmitting the sequence of numbers to the host across a wireless network, exchanging the at least one of the ambiguous characters including exchanging the sequence of numbers upon receiving an amount of numbers in the sequence that meets an initial predetermined threshold amount of numbers, and exchanging subsequently received numbers, received as part of the sequence of numbers, after receiving an amount of the subsequently received numbers above a second predetermined threshold amount of numbers; receiving, from the host, results that represent disambiguated terms corresponding to the ambiguous characters exchanged with the host; rendering the results in a display of the wireless phone in a manner that enables identification of which of the disambiguated terms will be used upon a received selection of a displayed result; receiving, from the host, updated results that represent disambiguated terms corresponding to the subsequently received numbers exchanged with the host; rendering the updated results in the display of the wireless phone; and in response to receiving a selection of one of the disambiguated terms, displaying information corresponding to the selection. 5. The computer-implemented method of claim 1 , wherein exchanging the at least one of the ambiguous characters with the host includes: transmitting updates to the host upon receiving the subsequently received numbers, the transmitting occurring after detecting that user inactivity in entering the sequence of numbers exceeds a predetermined period of time. | 0.727964 |
8,825,657 | 38 | 43 | 38. A computer implemented method, the method comprising: repetitively conducting probabilistic percolation crawling at desired time intervals to generate informational network neighborhoods at the desired time intervals, the informational network neighborhood including a community of network nodes linked by referenced links, wherein conducting probabilistic percolation crawling comprises following the one or more reference links in and out of the one or more web pages to one or more neighboring nodes probablistically, wherein performing percolation crawling further comprises randomly selecting reference links in and out of the web page and in and out of the one or more neighboring nodes, wherein selected reference out-links are added to the network neighborhood when the link satisfies a first probability and selected reference in-links are added to the network neighborhood when the link satisfies a second probability, and wherein the communities of network nodes are determined by iteratively partitioning the network neighborhood, wherein each network node includes at least one concept associated with the community, the community comprising a set of network nodes that are more linked amongst themselves than to network nodes that are not included in the community based on the probabilistic percolation crawling; maintaining a representation of the informational network neighborhoods at the desired time intervals in a memory; and identifying changes in the informational network neighborhood by comparing at least two of the informational network neighborhoods maintained in the memory. | 38. A computer implemented method, the method comprising: repetitively conducting probabilistic percolation crawling at desired time intervals to generate informational network neighborhoods at the desired time intervals, the informational network neighborhood including a community of network nodes linked by referenced links, wherein conducting probabilistic percolation crawling comprises following the one or more reference links in and out of the one or more web pages to one or more neighboring nodes probablistically, wherein performing percolation crawling further comprises randomly selecting reference links in and out of the web page and in and out of the one or more neighboring nodes, wherein selected reference out-links are added to the network neighborhood when the link satisfies a first probability and selected reference in-links are added to the network neighborhood when the link satisfies a second probability, and wherein the communities of network nodes are determined by iteratively partitioning the network neighborhood, wherein each network node includes at least one concept associated with the community, the community comprising a set of network nodes that are more linked amongst themselves than to network nodes that are not included in the community based on the probabilistic percolation crawling; maintaining a representation of the informational network neighborhoods at the desired time intervals in a memory; and identifying changes in the informational network neighborhood by comparing at least two of the informational network neighborhoods maintained in the memory. 43. The method of claim 38 wherein the informational network neighborhood comprises a plurality of communities. | 0.5 |
10,083,154 | 13 | 14 | 13. A method performed by a mobile hand-held device including a touch-sensitive display and an HTML rendering engine, comprising: receiving an HTML document including HTML code and cascading style sheet (CSS) code and content associated with the HTML document, the HTML code comprising a plurality of HTML elements including at least one HTML paragraph element, at least one HTML image element, and at least one HTML hyperlink element; processing the HTML document with the HTML rendering engine to render a first representation of the HTML document having an interpreted page layout, functionality, and design of the content associated with the HTML document that is in accordance with the HTML code and CSS code, wherein rendering the first representation of the HTML document includes, parsing the HTML document to identify the plurality of HTML elements; logically grouping content associated with HTML elements into HTML objects; generating page layout information including a bounding box for each HTML object; and storing information that links each HTML object with its corresponding page layout information, wherein the page layout information further includes information from which a page layout location of each of the bounding boxes can be determined; translating the first representation of the HTML document to generate a scalable vector representation of the HTML document wherein generating the scalable vector representation includes, defining a primary datum corresponding to the interpreted page layout; for each HTML object, defining an object datum corresponding to a layout location datum for the HTML object's bounding box; generating a vector from the primary datum to the object datum for the HTML object's bounding box; and creating a reference that links the HTML object to the vector that is generated; and render the scalable vector representation of the HTML document on the touch-sensitive display using a first scale factor to display the HTML document at a first zoom level under which the HTML document is displayed to fit across a width of the touch-sensitive display, wherein the scalable vector representation of the HTML document is configured to enable a user to view the HTML document at one or more user-defined zoom levels by rendering the scalable vector representation on the touch-sensitive display using one or more respective scale factors in response to associated user inputs made via the touch-sensitive display, and wherein the interpreted page layout, functionality, and design of the content associated with the HTML document is preserved at each of the first zoom level and the one or more user-defined zoom levels. | 13. A method performed by a mobile hand-held device including a touch-sensitive display and an HTML rendering engine, comprising: receiving an HTML document including HTML code and cascading style sheet (CSS) code and content associated with the HTML document, the HTML code comprising a plurality of HTML elements including at least one HTML paragraph element, at least one HTML image element, and at least one HTML hyperlink element; processing the HTML document with the HTML rendering engine to render a first representation of the HTML document having an interpreted page layout, functionality, and design of the content associated with the HTML document that is in accordance with the HTML code and CSS code, wherein rendering the first representation of the HTML document includes, parsing the HTML document to identify the plurality of HTML elements; logically grouping content associated with HTML elements into HTML objects; generating page layout information including a bounding box for each HTML object; and storing information that links each HTML object with its corresponding page layout information, wherein the page layout information further includes information from which a page layout location of each of the bounding boxes can be determined; translating the first representation of the HTML document to generate a scalable vector representation of the HTML document wherein generating the scalable vector representation includes, defining a primary datum corresponding to the interpreted page layout; for each HTML object, defining an object datum corresponding to a layout location datum for the HTML object's bounding box; generating a vector from the primary datum to the object datum for the HTML object's bounding box; and creating a reference that links the HTML object to the vector that is generated; and render the scalable vector representation of the HTML document on the touch-sensitive display using a first scale factor to display the HTML document at a first zoom level under which the HTML document is displayed to fit across a width of the touch-sensitive display, wherein the scalable vector representation of the HTML document is configured to enable a user to view the HTML document at one or more user-defined zoom levels by rendering the scalable vector representation on the touch-sensitive display using one or more respective scale factors in response to associated user inputs made via the touch-sensitive display, and wherein the interpreted page layout, functionality, and design of the content associated with the HTML document is preserved at each of the first zoom level and the one or more user-defined zoom levels. 14. The method of claim 13 , wherein the mobile hand-held device is a mobile phone. | 0.912076 |
8,584,082 | 1 | 5 | 1. A non-transitory computer-readable storage medium for designing a mashup, the non-transitory computer-readable storage medium storing instructions which, when executed by one or more processors, cause the performance of: prior to run-time: receiving first user input that relates a first Graphical User Interface (GUI) object, that represents a first widget, to a second GUI object that represents a second widget; wherein the first widget and the second widget are to be included in the mashup; wherein the first widget conforms to a first widget specification and the second widget conforms to a second widget specification that is different than the first widget specification; in response to receiving the first user input: defining a first variable in the mashup based on the first user input, wherein the first variable is configured to store a first variable value at run-time, and wherein, at run-time, the first variable value of the first variable will be replaced by a value of an output parameter of the first widget and the first variable value of the first variable will be used as an input parameter of the second widget; based on the first user input, generating an event definition that defines an event which, when detected at run-time, causes contents of at least one of the first widget and the second widget to be refreshed; storing a binding definition that associates the event definition of the event, the first variable, the output parameter of the first widget, and the input parameter of the second widget; and generating a definition of the mashup, wherein generating the definition of the mashup comprises including the binding definition in the definition of the mashup; at run-time: receiving second user input comprising a data value; in response to receiving the second user input, replacing the data value to the first variable value of the first variable, using the first variable value as the input parameter to the second widget to refresh contents of the second widget. | 1. A non-transitory computer-readable storage medium for designing a mashup, the non-transitory computer-readable storage medium storing instructions which, when executed by one or more processors, cause the performance of: prior to run-time: receiving first user input that relates a first Graphical User Interface (GUI) object, that represents a first widget, to a second GUI object that represents a second widget; wherein the first widget and the second widget are to be included in the mashup; wherein the first widget conforms to a first widget specification and the second widget conforms to a second widget specification that is different than the first widget specification; in response to receiving the first user input: defining a first variable in the mashup based on the first user input, wherein the first variable is configured to store a first variable value at run-time, and wherein, at run-time, the first variable value of the first variable will be replaced by a value of an output parameter of the first widget and the first variable value of the first variable will be used as an input parameter of the second widget; based on the first user input, generating an event definition that defines an event which, when detected at run-time, causes contents of at least one of the first widget and the second widget to be refreshed; storing a binding definition that associates the event definition of the event, the first variable, the output parameter of the first widget, and the input parameter of the second widget; and generating a definition of the mashup, wherein generating the definition of the mashup comprises including the binding definition in the definition of the mashup; at run-time: receiving second user input comprising a data value; in response to receiving the second user input, replacing the data value to the first variable value of the first variable, using the first variable value as the input parameter to the second widget to refresh contents of the second widget. 5. The non-transitory computer-readable storage medium of claim 1 , further comprising instructions which, when executed by the one or more processors, cause the performance of: in response to the first user input, defining a second variable in the mashup based on the first user input, wherein, at run-time, a value of an output parameter of the second widget is assigned to the second variable. | 0.820652 |
8,503,769 | 1 | 2 | 1. A method performed on at least one computer processor, said method comprising: receiving an image to classify, said image being located within a text document; identifying a plurality of said text documents comprising said image; identifying a training set of examples from at least one of said text documents, said training set of examples comprising a subset of text within said text documents; training a classifier using said training set; classifying said text within said text document using said classifier to identify a group of text associated with said image; and for each of said plurality of said text documents, analyzing text in said text documents to determine a list of topics within said text document, said topics being used to select at least a portion of said training set. | 1. A method performed on at least one computer processor, said method comprising: receiving an image to classify, said image being located within a text document; identifying a plurality of said text documents comprising said image; identifying a training set of examples from at least one of said text documents, said training set of examples comprising a subset of text within said text documents; training a classifier using said training set; classifying said text within said text document using said classifier to identify a group of text associated with said image; and for each of said plurality of said text documents, analyzing text in said text documents to determine a list of topics within said text document, said topics being used to select at least a portion of said training set. 2. The method of claim 1 , said text documents comprising at least one Hyper Text Markup Language (HTML) document. | 0.81672 |
7,788,085 | 12 | 13 | 12. A method to replace a source string in a document with a target string, comprising: selecting a target string that is placed at one or more locations within the document via a computer; selecting a source string, via the computer, to replace the target string; selecting one of more of a part of speech, a gender, and a number for each of the target string and the source string, via the computer, to replace in the document; morpho-syntactically disambiguating textual content of the target and source strings, via the computer, using two levels of analysis: 1) examining the parts-of-speech on their own, and if ambiguities are found, 2) examining each occurrence of said source string in the textual content of the document, wherein disambiguating the textual content includes prompting user-specified disambiguation if the source string or the target string have one or more of one possible meaning, gender, and number; identifying occurrences of the source string in the document that satisfy user specifications via the computer; identifying a first set of possible senses for the source string and a second set of possible senses for the target string via the computer; assessing, via the computer, whether replacing the source string having the first set of possible senses with the target string having the second set of possible senses is semantically coherent; replacing each occurrences of the source string in the document that satisfy the user specifications with the target string via the computer; outputting a warning, via the computer, when the replacement of the source string with the target string. is not semantically coherent; correcting grammatical and anaphoric inconsistencies, via the computer, in the document that are introduced when the source string is replaced with the target string; and outputting the document. | 12. A method to replace a source string in a document with a target string, comprising: selecting a target string that is placed at one or more locations within the document via a computer; selecting a source string, via the computer, to replace the target string; selecting one of more of a part of speech, a gender, and a number for each of the target string and the source string, via the computer, to replace in the document; morpho-syntactically disambiguating textual content of the target and source strings, via the computer, using two levels of analysis: 1) examining the parts-of-speech on their own, and if ambiguities are found, 2) examining each occurrence of said source string in the textual content of the document, wherein disambiguating the textual content includes prompting user-specified disambiguation if the source string or the target string have one or more of one possible meaning, gender, and number; identifying occurrences of the source string in the document that satisfy user specifications via the computer; identifying a first set of possible senses for the source string and a second set of possible senses for the target string via the computer; assessing, via the computer, whether replacing the source string having the first set of possible senses with the target string having the second set of possible senses is semantically coherent; replacing each occurrences of the source string in the document that satisfy the user specifications with the target string via the computer; outputting a warning, via the computer, when the replacement of the source string with the target string. is not semantically coherent; correcting grammatical and anaphoric inconsistencies, via the computer, in the document that are introduced when the source string is replaced with the target string; and outputting the document. 13. The method according to claim 12 , further comprising: processing the textual content of the document, via the computer, to identify a set of expressions that may be single-word expressions or multiword expressions; identifying a sense for each expression in the set of expressions via the computer; assessing, via the computer, whether the string sense and the sense of an identified expression are semantically coherent before replacing each occurrence of the source string in the textual content of the document with the target string when the source string forms part of the identified expression; outputting a warning, via the computer, when the replacement of the source string with the target string is not semantically coherent. | 0.52381 |
6,081,665 | 1 | 5 | 1. A real-time virtual machine method (RTVMM) for implementing real-time systems and activities, the RTVMM comprising the steps: implementing an O-OPL program that can run on computer systems of different designs, an O-OPL program being based on an object-oriented programming language (O-OPL) comprising object type declarations called classes, each class definition describing the variables that are associated with each object of the corresponding class and all of the operations called methods that can be applied to instantiated objects of the specified type, a "method" being a term of art describing the unit of procedural abstraction in an object-oriented programming system, an O-OPL program comprising one or more threads wherein the run-time stack for each thread is organized so as to allow accurate identification of type-tagged pointers contained on the stack without requiring type tag information to be updated each time the stack's content changes, the O-OPL being an extension of a high-level language (HLL) exemplified by Java, HLL being an extension of a low-level language (LLL) exemplified by C and C++, a thread being a term of art for an independently-executing task, an O-OPL program being represented at run time by either O-OPL byte codes or by native machine codes. | 1. A real-time virtual machine method (RTVMM) for implementing real-time systems and activities, the RTVMM comprising the steps: implementing an O-OPL program that can run on computer systems of different designs, an O-OPL program being based on an object-oriented programming language (O-OPL) comprising object type declarations called classes, each class definition describing the variables that are associated with each object of the corresponding class and all of the operations called methods that can be applied to instantiated objects of the specified type, a "method" being a term of art describing the unit of procedural abstraction in an object-oriented programming system, an O-OPL program comprising one or more threads wherein the run-time stack for each thread is organized so as to allow accurate identification of type-tagged pointers contained on the stack without requiring type tag information to be updated each time the stack's content changes, the O-OPL being an extension of a high-level language (HLL) exemplified by Java, HLL being an extension of a low-level language (LLL) exemplified by C and C++, a thread being a term of art for an independently-executing task, an O-OPL program being represented at run time by either O-OPL byte codes or by native machine codes. 5. The RTVMM of claim 1 wherein a byte-code O-OPL method is an O-OPL method represented at run time by O-OPL byte codes, a byte-code O-OPL method being written in O-OPL, an O-OPL, method represented at run time by native machine codes being either a native O-OPL method or a native-translated O-OPL method, a native O-OPL method being written in LLL, a native-translated O-OPL method being written in HLL, the implementing step comprising the steps: compiling the byte-code O-OPL methods into HLL byte codes and transforming the HLL byte codes into O-OPL byte codes; compiling the native O-OPI, methods into native machine codes; compiling the native-translated O-OPL methods into HLL byte codes and compiling HLL byte codes into native machine codes. | 0.695705 |
9,369,478 | 7 | 9 | 7. A storage device storing instructions which when executed by a computer cause the computer to perform operations comprising: receiving a set of rules translated from security policies, wherein a respective rule from the set of rules is translated to be represented as a structured Semantic Web Rule Language (SWRL) statement; correlating log data with the translated set of rules, the correlating comprising: converting the log data into Web Ontology Language (OWL)-based format by converting original relational database(RDB)-formatted log data into a Resource Description Framework (RDF) format; and applying the translated set of rules to the OWL-format log data; and identifying one or more records of the log data which indicate potential violation of at least one security policy based on results of applying the translated set of rules. | 7. A storage device storing instructions which when executed by a computer cause the computer to perform operations comprising: receiving a set of rules translated from security policies, wherein a respective rule from the set of rules is translated to be represented as a structured Semantic Web Rule Language (SWRL) statement; correlating log data with the translated set of rules, the correlating comprising: converting the log data into Web Ontology Language (OWL)-based format by converting original relational database(RDB)-formatted log data into a Resource Description Framework (RDF) format; and applying the translated set of rules to the OWL-format log data; and identifying one or more records of the log data which indicate potential violation of at least one security policy based on results of applying the translated set of rules. 9. The storage device of claim 7 , wherein original log data is stored in a RDB format. | 0.814103 |
8,218,859 | 1 | 9 | 1. A method for a transductive multi-label classification, implemented at least in part by a computing device, the method comprising: utilizing a hidden Markov random field formulation to identify labels for concepts in a video content; modeling a multi-label interdependence between the labels by using a pairwise Markov random field, wherein combinations of pairwise relationships over the labels are seamlessly modeled into the hidden Markov random field formulation; grouping the labels into several parts to speed up a labeling inference; and calculating conditional probability scores for the labels, wherein the conditional probability scores are ordered for ranking in a video retrieval. | 1. A method for a transductive multi-label classification, implemented at least in part by a computing device, the method comprising: utilizing a hidden Markov random field formulation to identify labels for concepts in a video content; modeling a multi-label interdependence between the labels by using a pairwise Markov random field, wherein combinations of pairwise relationships over the labels are seamlessly modeled into the hidden Markov random field formulation; grouping the labels into several parts to speed up a labeling inference; and calculating conditional probability scores for the labels, wherein the conditional probability scores are ordered for ranking in a video retrieval. 9. The method of claim 1 , further comprising integrating in a single formulation, relationships between pairs of labels, the relationships including at least one of: a positive-positive relationship, a positive-negative relationship, a negative-positive relationship, or a negative-negative relationship. | 0.575209 |
6,166,739 | 1 | 2 | 1. A method for navigating a group of information in a computer system, comprising the steps of: identifying said group of information associated with a selected data item; converting certain pieces of said group information into generated data items; associating unilateral and multilateral display relationships with said generated data items, each unilateral display relationship representing a direct relationship between two of said generated data items, and said multilateral relationships also representing an indirect relationship with other generated data items; associating unilateral and multilateral display relationships with said generated data items and said selected data item, each unilateral display relationship representing a direct relationship between said selected data item and one of said generated data items, and said multilateral relationships also representing an indirect relationship between said selected data item and said generated data items; and forming a display associated with said selected data item, including said generated data items, wherein said display distinguishes between said selected data item and said generated data items. | 1. A method for navigating a group of information in a computer system, comprising the steps of: identifying said group of information associated with a selected data item; converting certain pieces of said group information into generated data items; associating unilateral and multilateral display relationships with said generated data items, each unilateral display relationship representing a direct relationship between two of said generated data items, and said multilateral relationships also representing an indirect relationship with other generated data items; associating unilateral and multilateral display relationships with said generated data items and said selected data item, each unilateral display relationship representing a direct relationship between said selected data item and one of said generated data items, and said multilateral relationships also representing an indirect relationship between said selected data item and said generated data items; and forming a display associated with said selected data item, including said generated data items, wherein said display distinguishes between said selected data item and said generated data items. 2. The method claimed in claim 1, wherein said group of information comprises a directory. | 0.843206 |
9,122,637 | 1 | 2 | 1. A computer-implemented method for enhancing electronic discovery searches, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: receiving a search query for at least one instance of a user being identified within a backup image of a volume of data, the search query being conducted for electronic discovery; identifying metadata associated with the backup image specifying at least one action performed by the user on a computing system while the volume of data was mounted for use on the computing system; performing the search query on the backup image and receiving a result of the search query in response to performing the search query; enhancing the result of the search query with contextual information relating to the search query based on the metadata in response to determining that the user specified in the search query performed the action, the contextual information facilitating further electronic discovery relating to the user by specifying a context in which the user performed the action on the computing system while the volume of data was mounted for use on the computing system; and providing the enhanced result of the search query. | 1. A computer-implemented method for enhancing electronic discovery searches, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: receiving a search query for at least one instance of a user being identified within a backup image of a volume of data, the search query being conducted for electronic discovery; identifying metadata associated with the backup image specifying at least one action performed by the user on a computing system while the volume of data was mounted for use on the computing system; performing the search query on the backup image and receiving a result of the search query in response to performing the search query; enhancing the result of the search query with contextual information relating to the search query based on the metadata in response to determining that the user specified in the search query performed the action, the contextual information facilitating further electronic discovery relating to the user by specifying a context in which the user performed the action on the computing system while the volume of data was mounted for use on the computing system; and providing the enhanced result of the search query. 2. The computer-implemented method of claim 1 , wherein enhancing the result of the search query comprises at least one of: suggesting a related search query based on the metadata; and performing an additional search on the backup image based on the metadata and including a result of the additional search with the result of the search query. | 0.664384 |
9,195,456 | 1 | 4 | 1. A method for managing a catalog of scripts, said method comprising: receiving a script; parsing the script; extracting an input from the script; extracting a description of the input that includes the name of a runtime parameter, or the name of a variable that is being set by loading data and any schema associated with the setting of the variable; extracting an output from the script; extracting a description of the output that includes the name of a variable that is being stored and any schema associated with the variable; extracting a body of a query from the script; determining, by a processor, whether the script contains a potentially problematic statement; in response to a determination that the script contains a potentially problematic statement, at least one of fixing the potentially problematic statement and issuing a warning regarding the potentially problematic statement; and storing a description of the script in the catalog of scripts that includes the body of the query and descriptions of the input and the output. | 1. A method for managing a catalog of scripts, said method comprising: receiving a script; parsing the script; extracting an input from the script; extracting a description of the input that includes the name of a runtime parameter, or the name of a variable that is being set by loading data and any schema associated with the setting of the variable; extracting an output from the script; extracting a description of the output that includes the name of a variable that is being stored and any schema associated with the variable; extracting a body of a query from the script; determining, by a processor, whether the script contains a potentially problematic statement; in response to a determination that the script contains a potentially problematic statement, at least one of fixing the potentially problematic statement and issuing a warning regarding the potentially problematic statement; and storing a description of the script in the catalog of scripts that includes the body of the query and descriptions of the input and the output. 4. The method according to claim 1 , wherein determining whether the input contains a potentially problematic statement further comprises determining whether the input contains a statement that is likely to be incompatible with later merging. | 0.660112 |
9,645,700 | 15 | 20 | 15. A mobile device comprises: a processor; a memory coupled to the processor storing a computer program product that configures the processor to: launch a player application to playback visual items of playable content in one or more player windows; receive in the player application information feeds, the information feeds including web pages including web folders of images, text, and video data and ad hoc feeds including syndication feeds and podcast feeds; convert information content from the information feeds into a specified mark-up language format; apply parsing rules to parse the converted information content from the one or more feeds into code functions and data elements to provide one or more datasets comprising one or more of image, text, audio and video portions of the one or more feeds; load a first one of the one or more data elements and code functions into a player window of a player application to render the one or more datasets into one or more of the produced visual items of playable content playable in the player application, where the visual items of playable content comprise one or more components that are text, audio, video, and/or images parsed from the information feeds; store in a queue, the produced visual items of playable content; render produced visual items of playable content during a playback mode of the player application; apply one or more user focus operation tools by a user to one or more of the rendered visual items of playable content, with the one or more user focus operation tools applied being based on at least one of device context, characteristics of the one or more visual items of playable content, and user preferences specified for user focus operations; store new content resulting from the application of the one or more user focus operation tools to the one or more visual items of playable content; and render in a new player window the new content from applying the one or more user focus operation tools to the visual items of playable content. | 15. A mobile device comprises: a processor; a memory coupled to the processor storing a computer program product that configures the processor to: launch a player application to playback visual items of playable content in one or more player windows; receive in the player application information feeds, the information feeds including web pages including web folders of images, text, and video data and ad hoc feeds including syndication feeds and podcast feeds; convert information content from the information feeds into a specified mark-up language format; apply parsing rules to parse the converted information content from the one or more feeds into code functions and data elements to provide one or more datasets comprising one or more of image, text, audio and video portions of the one or more feeds; load a first one of the one or more data elements and code functions into a player window of a player application to render the one or more datasets into one or more of the produced visual items of playable content playable in the player application, where the visual items of playable content comprise one or more components that are text, audio, video, and/or images parsed from the information feeds; store in a queue, the produced visual items of playable content; render produced visual items of playable content during a playback mode of the player application; apply one or more user focus operation tools by a user to one or more of the rendered visual items of playable content, with the one or more user focus operation tools applied being based on at least one of device context, characteristics of the one or more visual items of playable content, and user preferences specified for user focus operations; store new content resulting from the application of the one or more user focus operation tools to the one or more visual items of playable content; and render in a new player window the new content from applying the one or more user focus operation tools to the visual items of playable content. 20. The device of claim 15 wherein the instructions to apply parsing rules comprises instructions to: produce from the datasets information regarding sources of the information feeds, banners, titles, contents, links, media, and interactions provided for the received feeds. | 0.563694 |
7,840,935 | 1 | 2 | 1. A computer program storage product comprising instructions operable to cause a data processing apparatus to: provide a first set of modeling language entities and a predefined stereotype construct, wherein: each entity in the first set of modeling language entities has an associated graphical representation, the stereotype construct defines an encapsulation of at least one or more modifications to a second set of modeling language entities selected from the first set of modeling language entities, the stereotype construct has an associated graphical representation, the associated graphical representation of the stereotype construct is configured to display representations of properties of first entities in the second set of modeling language entities that are configurable by an end-user, and the associated graphical representation of the stereotype construct is configured to mask representations of properties of second entities in the second set of modeling language entities that are unchangeable by the end-user; receive input specifying the stereotype construct as a component of an application being developed; and generate the application, wherein the application includes a runtime version of the stereotype construct. | 1. A computer program storage product comprising instructions operable to cause a data processing apparatus to: provide a first set of modeling language entities and a predefined stereotype construct, wherein: each entity in the first set of modeling language entities has an associated graphical representation, the stereotype construct defines an encapsulation of at least one or more modifications to a second set of modeling language entities selected from the first set of modeling language entities, the stereotype construct has an associated graphical representation, the associated graphical representation of the stereotype construct is configured to display representations of properties of first entities in the second set of modeling language entities that are configurable by an end-user, and the associated graphical representation of the stereotype construct is configured to mask representations of properties of second entities in the second set of modeling language entities that are unchangeable by the end-user; receive input specifying the stereotype construct as a component of an application being developed; and generate the application, wherein the application includes a runtime version of the stereotype construct. 2. The computer program storage product of claim 1 , wherein the stereotype construct defines an encapsulation of the modifications to another stereotype construct. | 0.81106 |
8,078,593 | 6 | 7 | 6. The method of claim 5 wherein traversing the nodes of a second tree to obtain a value that indicates a storage location of the matching fixed-size portion of the segment within the dictionary further comprises concatenating at least two codes of the additional plurality of codes to synthesize a second search value and traversing the nodes of a third search tree to obtain the value that indicates the storage location of the matching fixed-size portion of the segment within the dictionary. | 6. The method of claim 5 wherein traversing the nodes of a second tree to obtain a value that indicates a storage location of the matching fixed-size portion of the segment within the dictionary further comprises concatenating at least two codes of the additional plurality of codes to synthesize a second search value and traversing the nodes of a third search tree to obtain the value that indicates the storage location of the matching fixed-size portion of the segment within the dictionary. 7. The method of claim 6 wherein traversing the nodes of a third search tree to obtain the value that indicates the storage location of the matching fixed-size portion of the segment within the dictionary comprises traversing the nodes of the third search tree to obtain a list of one or more pointers, the list of one or more pointers including a pointer that indicates the storage location of the matching fixed-size portion of the segment within the dictionary. | 0.5 |
8,612,204 | 11 | 13 | 11. A system comprising: an input configured to receive a phrase in a first language; a non-transitory computer-readable storage medium storing a corpus comprising a plurality of phrases in the first language and word reordering information for the plurality of phrases, the word reordering information indicating a correct word order for each phrase in a second language; and a processor configured to: obtain the corpus from the computer-readable storage medium; identify word-to-word correspondences between each of the phrases in the first language and the corresponding correct word order for the phrase in the second language; generate at least one tree that allows for the identified word-to-word correspondences; based upon the at least one tree, create a statistical model for reordering from a word order that is correct for the first language to a word order that is correct for the second language; and based upon the statistical model, generate a reordered phrase from the received phrase, the reordered phrase having a correct word order for the second language. | 11. A system comprising: an input configured to receive a phrase in a first language; a non-transitory computer-readable storage medium storing a corpus comprising a plurality of phrases in the first language and word reordering information for the plurality of phrases, the word reordering information indicating a correct word order for each phrase in a second language; and a processor configured to: obtain the corpus from the computer-readable storage medium; identify word-to-word correspondences between each of the phrases in the first language and the corresponding correct word order for the phrase in the second language; generate at least one tree that allows for the identified word-to-word correspondences; based upon the at least one tree, create a statistical model for reordering from a word order that is correct for the first language to a word order that is correct for the second language; and based upon the statistical model, generate a reordered phrase from the received phrase, the reordered phrase having a correct word order for the second language. 13. The system of claim 11 , said processor further configured to generate a translation of the received phrase in the second language based upon the reordered phrase. | 0.717905 |
9,390,086 | 11 | 12 | 11. The non-transitory computer-readable storage medium of claim 9 , wherein determining, using the trained classifier, the candidate label for the document includes at least: receiving, from the trained classifier, a particular respective score for each label of the plurality of labels, wherein the particular respective score represents a confidence of the trained classifier with respect to the label being correct for the document. | 11. The non-transitory computer-readable storage medium of claim 9 , wherein determining, using the trained classifier, the candidate label for the document includes at least: receiving, from the trained classifier, a particular respective score for each label of the plurality of labels, wherein the particular respective score represents a confidence of the trained classifier with respect to the label being correct for the document. 12. The non-transitory computer-readable storage medium of claim 11 , wherein the trained classifier determines the particular respective score for each classification by at least: determining, for each document portion of a plurality of document portions of the document, a respective sub-score for the document portion; determining the particular respective score of the document based on aggregating the respective sub-score for each document portion of the plurality of document portions. | 0.5 |
9,177,018 | 13 | 17 | 13. The system of claim 10 , wherein obtaining one or more selected translations for the first image search query comprises: receiving a plurality of candidate translations of the first image search query; determining a score for each candidate translation; and selecting the translations from the candidate translations according to the scores. | 13. The system of claim 10 , wherein obtaining one or more selected translations for the first image search query comprises: receiving a plurality of candidate translations of the first image search query; determining a score for each candidate translation; and selecting the translations from the candidate translations according to the scores. 17. The system of claim 13 , wherein determining a score for a candidate translation comprises determining the score for the candidate translation from a unique users measurement that estimates a number of unique users that submitted the candidate translation as a search query. | 0.638021 |
9,594,742 | 30 | 31 | 30. The method of claim 29 , wherein the two-step tokenization step comprises the step of combining groups of zero or one consonants into a consonant set and combining groups of zero or one vowels into a vowel set to create a two-set token. | 30. The method of claim 29 , wherein the two-step tokenization step comprises the step of combining groups of zero or one consonants into a consonant set and combining groups of zero or one vowels into a vowel set to create a two-set token. 31. The method of claim 30 , wherein a first placeholder symbol is used to represent a missing consonant in each two-set token comprising zero consonants. | 0.5 |
8,407,231 | 4 | 5 | 4. The method of claim 1 , where determining that there has been a decrease in the rate or quantity of appearances of new links that point to the document over time further comprises comparing a quantity of appearances of new links to the document during a recent pre-defined time period to a total quantity of appearances of new links to the document. | 4. The method of claim 1 , where determining that there has been a decrease in the rate or quantity of appearances of new links that point to the document over time further comprises comparing a quantity of appearances of new links to the document during a recent pre-defined time period to a total quantity of appearances of new links to the document. 5. The method of claim 4 , where the recent pre-defined time period is a pre-defined number of most-recent days. | 0.5 |
8,078,629 | 19 | 22 | 19. A computer system comprising: one or more memories configured for storing executable instructions; and one or more processors configured for executing the instructions, wherein the instructions include instructions to: determine, for a document that contains a first phrase, an expected number of related phrases that are related to the first phrase and are expected to be present in the document; determine for the document, and for the first phrase in the document, an actual number of related phrases present in the document; and identify the document as a spam document by comparing the actual number of related phrases present in the document with the expected number of related phrases, wherein determining the expected number of related phrases includes: traversing an index of a plurality of documents; for each of the indexed documents, determining a set of phrases in the document, and for each phrase in the set, determining a number of related phrases also in the document; and determining the expected number of related phrases based on the determined number of related phrases across the traversed documents. | 19. A computer system comprising: one or more memories configured for storing executable instructions; and one or more processors configured for executing the instructions, wherein the instructions include instructions to: determine, for a document that contains a first phrase, an expected number of related phrases that are related to the first phrase and are expected to be present in the document; determine for the document, and for the first phrase in the document, an actual number of related phrases present in the document; and identify the document as a spam document by comparing the actual number of related phrases present in the document with the expected number of related phrases, wherein determining the expected number of related phrases includes: traversing an index of a plurality of documents; for each of the indexed documents, determining a set of phrases in the document, and for each phrase in the set, determining a number of related phrases also in the document; and determining the expected number of related phrases based on the determined number of related phrases across the traversed documents. 22. The computer system of claim 19 , wherein the determination of the number of the related phrases expected to be present in the document is based on a statistical analysis of a plurality of documents that include the first phrase and related phrases, and wherein the instructions to identify the document as a spam document include instructions to: determine a standard deviation of the expected number of related phrases; and responsive to the actual number of related phrases present in the document exceeding the expected number of related phrases by at least a multiple of a standard deviation of the expected number of related phrases, identify the document as a spam document. | 0.672249 |
8,209,605 | 1 | 2 | 1. A computerized method for displaying content that is contained within a document, the method, executing on a processor, comprising: identifying textual content within the document according to a hierarchy, the hierarchy defined by a plurality of nodes that are each respectively associated with a portion of the textual content, the plurality of nodes including a first node associated with a first portion of the textual content and a second node that is associated with a second different portion of the textual content and is also a child of the first node, the second node being a leaf node; assigning a visualization form out of a plurality of visualization forms to each one of the plurality of nodes, the plurality of visualization forms including at least an open form, a tokenized form, and an invisible form; displaying the portion of textual content that is associated with the respective node based on the assigned visualization form; and updating the visualization form of at least one of the plurality of nodes based on user input, wherein the textual content of the second node is not displayed when the visualization form for the second node includes the invisible form, wherein less than a full amount of the textual content associated with the second node is displayed when the visualization form for the second node includes the tokenized form, and wherein the textual content associated with the second node is displayed when the visualization form for the second node includes the open form. | 1. A computerized method for displaying content that is contained within a document, the method, executing on a processor, comprising: identifying textual content within the document according to a hierarchy, the hierarchy defined by a plurality of nodes that are each respectively associated with a portion of the textual content, the plurality of nodes including a first node associated with a first portion of the textual content and a second node that is associated with a second different portion of the textual content and is also a child of the first node, the second node being a leaf node; assigning a visualization form out of a plurality of visualization forms to each one of the plurality of nodes, the plurality of visualization forms including at least an open form, a tokenized form, and an invisible form; displaying the portion of textual content that is associated with the respective node based on the assigned visualization form; and updating the visualization form of at least one of the plurality of nodes based on user input, wherein the textual content of the second node is not displayed when the visualization form for the second node includes the invisible form, wherein less than a full amount of the textual content associated with the second node is displayed when the visualization form for the second node includes the tokenized form, and wherein the textual content associated with the second node is displayed when the visualization form for the second node includes the open form. 2. A method according to claim 1 , wherein the hierarchy is stored by mark-up within sequential storage of the document contents. | 0.782095 |
9,754,212 | 1 | 2 | 1. A method programmed in a non-transitory memory of a device comprising: a. accessing target information; b. parsing the target information into segments and prioritizing the segments, so that a highest priority segment is fact checked first, wherein priority is based on a presenter of the target information, wherein if the presenter of the target information has a validity rating below a first threshold, then the segments of the target information from the presenter are prioritized in a highest priority group, and if the presenter of the target information has the validity rating above the first threshold and below a second threshold, then the segments of the target information from the presenter are prioritized in a second highest priority group which has a lower priority than the highest priority group, and if the presenter of the target information has the validity rating above the second threshold, then the segments of the target information from the presenter are prioritized in a third highest priority group which has a lower priority than the second highest priority group; and c. automatically presenting a fact check result of the target information within the target information in real-time. | 1. A method programmed in a non-transitory memory of a device comprising: a. accessing target information; b. parsing the target information into segments and prioritizing the segments, so that a highest priority segment is fact checked first, wherein priority is based on a presenter of the target information, wherein if the presenter of the target information has a validity rating below a first threshold, then the segments of the target information from the presenter are prioritized in a highest priority group, and if the presenter of the target information has the validity rating above the first threshold and below a second threshold, then the segments of the target information from the presenter are prioritized in a second highest priority group which has a lower priority than the highest priority group, and if the presenter of the target information has the validity rating above the second threshold, then the segments of the target information from the presenter are prioritized in a third highest priority group which has a lower priority than the second highest priority group; and c. automatically presenting a fact check result of the target information within the target information in real-time. 2. The method of claim 1 wherein the target information comprises social networking information. | 0.951269 |
8,165,877 | 1 | 11 | 1. A method of conducting a dialog with a user of a voice search system that includes a speech recognizer, a search component and a dialog manager, the method comprising: generating a dialog feature, with the dialog manager, indicative of how well the voice search system is responding to the user; recognizing a user speech input with the speech recognizer to generate a query and a speech recognition feature indicative of a measure of speech recognition accuracy; searching a data store, with the search component, for search results based on the query, and generating a search feature indicative of a measure of search accuracy; generating a voice search confidence measure, indicative of a confidence of the search results for the query, based on the dialog feature indicative of how well the voice search system is responding to the user, the speech recognition feature, and the search feature; and conducting the dialog by conducting dialog turns with the user, each dialog turn corresponding to an interaction with the user, and conducting the dialog according to a dialog strategy chosen based, at least in part, on the voice search confidence measure, the dialog strategy determining what type of dialog turn to next conduct with the user, the dialog feature being derived based on one or more of the dialog turns conducted with the user. | 1. A method of conducting a dialog with a user of a voice search system that includes a speech recognizer, a search component and a dialog manager, the method comprising: generating a dialog feature, with the dialog manager, indicative of how well the voice search system is responding to the user; recognizing a user speech input with the speech recognizer to generate a query and a speech recognition feature indicative of a measure of speech recognition accuracy; searching a data store, with the search component, for search results based on the query, and generating a search feature indicative of a measure of search accuracy; generating a voice search confidence measure, indicative of a confidence of the search results for the query, based on the dialog feature indicative of how well the voice search system is responding to the user, the speech recognition feature, and the search feature; and conducting the dialog by conducting dialog turns with the user, each dialog turn corresponding to an interaction with the user, and conducting the dialog according to a dialog strategy chosen based, at least in part, on the voice search confidence measure, the dialog strategy determining what type of dialog turn to next conduct with the user, the dialog feature being derived based on one or more of the dialog turns conducted with the user. 11. The method of claim 1 , wherein the dialog feature comprises a previous turn occurrence feature representing whether the search result was presented to the user in a dialog turn prior to the dialog turn at which the spoken input was received. | 0.502024 |
9,015,206 | 28 | 29 | 28. The medium of claim 23 , the content presentation user interface comprising a channel description area comprising a plurality of user-selectable channels, a show description area comprising a description of a plurality of user-selectable shows, and an episode description area comprising a description of a plurality of user-selectable episodes. | 28. The medium of claim 23 , the content presentation user interface comprising a channel description area comprising a plurality of user-selectable channels, a show description area comprising a description of a plurality of user-selectable shows, and an episode description area comprising a description of a plurality of user-selectable episodes. 29. The medium of claim 28 , at least one of the user-selectable channels corresponds to a genre. | 0.5 |
9,471,562 | 1 | 3 | 1. A method for analyzing natural language texts using a lexical-semantic hierarchy, the method comprising: creating, by a computing device, the lexical-semantic hierarchy comprising at least one language-independent semantic class, wherein the semantic class includes one or more semantic attributes and one or more models; creating at least one language-specific lexical class associated with the lexical-semantic hierarchy, wherein the language-specific lexical class includes one or more semantic and syntactical attributes and one or more models, and wherein the semantic and syntactical attributes and models are inheritable from respective parent units to child units; creating an instance of the lexical-semantic hierarchy in a memory of the computing device; identifying a new lexical meaning in a natural language; identifying at least one candidate position of the new lexical meaning in the lexical-semantic hierarchy in the memory of the computing device on the basis of a dictionary entry for the new lexical meaning; comparing one or more example sentences comprising the new lexical meaning against one or more semantic and syntactical models of the identified candidate position in the lexical-semantic hierarchy; creating a new unit in the identified candidate position of the lexical-semantic hierarchy; creating a syntactical and semantic model for the new unit; storing the new unit and the created syntactical and semantic model in the memory of the computing device; receiving a sentence in the natural language; and representing, using the syntactical and semantic model of the new unit, the sentence in a language-independent form. | 1. A method for analyzing natural language texts using a lexical-semantic hierarchy, the method comprising: creating, by a computing device, the lexical-semantic hierarchy comprising at least one language-independent semantic class, wherein the semantic class includes one or more semantic attributes and one or more models; creating at least one language-specific lexical class associated with the lexical-semantic hierarchy, wherein the language-specific lexical class includes one or more semantic and syntactical attributes and one or more models, and wherein the semantic and syntactical attributes and models are inheritable from respective parent units to child units; creating an instance of the lexical-semantic hierarchy in a memory of the computing device; identifying a new lexical meaning in a natural language; identifying at least one candidate position of the new lexical meaning in the lexical-semantic hierarchy in the memory of the computing device on the basis of a dictionary entry for the new lexical meaning; comparing one or more example sentences comprising the new lexical meaning against one or more semantic and syntactical models of the identified candidate position in the lexical-semantic hierarchy; creating a new unit in the identified candidate position of the lexical-semantic hierarchy; creating a syntactical and semantic model for the new unit; storing the new unit and the created syntactical and semantic model in the memory of the computing device; receiving a sentence in the natural language; and representing, using the syntactical and semantic model of the new unit, the sentence in a language-independent form. 3. The method of claim 1 , wherein identifying the candidate position of the new lexical meaning in the lexical-semantic hierarchy further comprises at least one of: selecting a parent semantic class or creating a new semantic class for the new meaning. | 0.728541 |
9,224,107 | 2 | 3 | 2. The computer program product of claim 1 , wherein the method further comprises: receiving a third user input of a selected business process type, the third user input initiating the presentation of the plurality of business document types; wherein the first user input includes selections of check boxes for the selected set of business process types and the third user input includes selection of a link for navigating to a presentation of the plurality of business document types for the selected business process type. | 2. The computer program product of claim 1 , wherein the method further comprises: receiving a third user input of a selected business process type, the third user input initiating the presentation of the plurality of business document types; wherein the first user input includes selections of check boxes for the selected set of business process types and the third user input includes selection of a link for navigating to a presentation of the plurality of business document types for the selected business process type. 3. The computer program product of claim 2 , wherein the link is activated for user-selection in response to selection of the checkbox associated with the selected business process. | 0.5 |
9,430,790 | 7 | 9 | 7. A system comprising: a processor; and a computer-readable storage device storing instructions, which, when executed by the processor, cause the processor to perform operations comprising: receiving a posting of an image or a video through a social networking site, wherein the social networking site receives and transmits posted images or videos from a posting entity to receiving entities, wherein the posted items comprise at least one of text, images, and videos; identifying data associated with the posting; determining whether the data identifies a product within a product database for sale from the posting entity to yield a determination; and when the determination indicates that there is no reference to the product in the product database: transmitting the posting through the social networking site without an option to buy; and when the determination indicates that the posting references the product in the product database, and thus indicating a sale-related intent: transmitting the posting through the social networking site with a buy option associated with the product, wherein the buy option comprises one of a button, a drop-down menu, or a hyperlink; receiving a purchase interaction associated with the buy option; and processing a purchase of an item based on the purchase interaction, wherein processing the purchase occurs within the social networking site. | 7. A system comprising: a processor; and a computer-readable storage device storing instructions, which, when executed by the processor, cause the processor to perform operations comprising: receiving a posting of an image or a video through a social networking site, wherein the social networking site receives and transmits posted images or videos from a posting entity to receiving entities, wherein the posted items comprise at least one of text, images, and videos; identifying data associated with the posting; determining whether the data identifies a product within a product database for sale from the posting entity to yield a determination; and when the determination indicates that there is no reference to the product in the product database: transmitting the posting through the social networking site without an option to buy; and when the determination indicates that the posting references the product in the product database, and thus indicating a sale-related intent: transmitting the posting through the social networking site with a buy option associated with the product, wherein the buy option comprises one of a button, a drop-down menu, or a hyperlink; receiving a purchase interaction associated with the buy option; and processing a purchase of an item based on the purchase interaction, wherein processing the purchase occurs within the social networking site. 9. The system of claim 7 , wherein processing delivery of the product comprises informing the posting entity selling the product through an application programming interface to ship the product. | 0.65233 |
8,340,955 | 6 | 7 | 6. A system for selecting answers to natural language questions from a collection of textual documents, comprising: a memory; and at least one processor, coupled to the memory, operative to: extract scoring features from a candidate list of passages of possible answers, wherein said scoring feature is an average distance between the beginning of a candidate answer in a passage and words in said natural language question that appear in said passage, and wherein said average distance is measured in a count of words; score the possible answers using the extracted scoring features and a features scoring function; and present the best scoring possible answer to the user with context from the passage containing the answer. | 6. A system for selecting answers to natural language questions from a collection of textual documents, comprising: a memory; and at least one processor, coupled to the memory, operative to: extract scoring features from a candidate list of passages of possible answers, wherein said scoring feature is an average distance between the beginning of a candidate answer in a passage and words in said natural language question that appear in said passage, and wherein said average distance is measured in a count of words; score the possible answers using the extracted scoring features and a features scoring function; and present the best scoring possible answer to the user with context from the passage containing the answer. 7. A system as in claim 6 , wherein the feature scoring function is a linear combination of weighted features. | 0.678363 |
7,523,103 | 6 | 8 | 6. The method of claim 1 wherein presenting a list of query terms associated with the previously performed searches included in the identified previously performed searches that correspond to the at least one query term includes presenting user selectable control elements corresponding to the list of query terms. | 6. The method of claim 1 wherein presenting a list of query terms associated with the previously performed searches included in the identified previously performed searches that correspond to the at least one query term includes presenting user selectable control elements corresponding to the list of query terms. 8. The method of claim 6 further comprising: receiving a selection of one of the user selectable control elements corresponding to a particular previously performed search; accessing query terms associated with the particular previously performed search; performing a search process using the accessed query terms associated with the particular previously performed search; and presenting search results based on the search process. | 0.5 |
8,065,134 | 1 | 3 | 1. An information display system, comprising a large screen display device; an information display unit which displays information in the screen display device in a predetermined standard language; a user information input unit which inputs user information including information of a language desired by a user; and a language switch display unit which, when the user desired language input by the user information input unit is different from the standard language, switches all or part of the standard language of the screen display device to and displays the desired language of the user, and wherein the information display unit displays guide information, which comprises a public area common to all users and a plurality of individual areas dependent on respective users, in the standard language, when the input user desired language is different from the standard language, the language switch display unit displays the public area by time division by the standard language and the user desired language or displays the standard language and the user desired language in parallel by the area division and switches an individual area corresponding to the user desired language, and wherein the language switch display unit displays accompanying information relevant to the user in the language of the user so as to correspond to the individual area switched to and displayed in the user desired language. | 1. An information display system, comprising a large screen display device; an information display unit which displays information in the screen display device in a predetermined standard language; a user information input unit which inputs user information including information of a language desired by a user; and a language switch display unit which, when the user desired language input by the user information input unit is different from the standard language, switches all or part of the standard language of the screen display device to and displays the desired language of the user, and wherein the information display unit displays guide information, which comprises a public area common to all users and a plurality of individual areas dependent on respective users, in the standard language, when the input user desired language is different from the standard language, the language switch display unit displays the public area by time division by the standard language and the user desired language or displays the standard language and the user desired language in parallel by the area division and switches an individual area corresponding to the user desired language, and wherein the language switch display unit displays accompanying information relevant to the user in the language of the user so as to correspond to the individual area switched to and displayed in the user desired language. 3. The information display system according to claim 1 , wherein the language switch display unit causes the accompanying information to draw attention by an identification means equivalent to the individual area in synchronization with the switch display to the user desired language. | 0.754733 |
8,868,619 | 1 | 11 | 1. A method for generating concept structures from signature reduced clusters (SRCs), comprising: retrieving from a storage at least one SRC including a cluster of signatures respective of a plurality of multimedia data elements (MMDEs); generating metadata for the cluster of signatures included in the at least one retrieved SRC; associating the generated metadata with the at least one retrieved SRC; reducing a number of signatures in the at least one retrieved SRC to include only signatures that uniquely identify the at least one retrieved SRC by temporarily removing a signature from the at least one retrieved SRC, checking if MMDEs associated with the at least one retrieved SRC can be recognized without the removed signature, and permanently removing the signature from the at least one retrieved SRC, if the MMDEs associated with the SRC can be recognized; and matching the at least one retrieved SRC with a plurality of previously generated SRCs stored in the storage, wherein each of the plurality of previously generated SRCs that matches the at least one retrieved SRC forms a concept structure, wherein the concept structure includes at least metadata associated with the SRC matching the at least one retrieved SRC. | 1. A method for generating concept structures from signature reduced clusters (SRCs), comprising: retrieving from a storage at least one SRC including a cluster of signatures respective of a plurality of multimedia data elements (MMDEs); generating metadata for the cluster of signatures included in the at least one retrieved SRC; associating the generated metadata with the at least one retrieved SRC; reducing a number of signatures in the at least one retrieved SRC to include only signatures that uniquely identify the at least one retrieved SRC by temporarily removing a signature from the at least one retrieved SRC, checking if MMDEs associated with the at least one retrieved SRC can be recognized without the removed signature, and permanently removing the signature from the at least one retrieved SRC, if the MMDEs associated with the SRC can be recognized; and matching the at least one retrieved SRC with a plurality of previously generated SRCs stored in the storage, wherein each of the plurality of previously generated SRCs that matches the at least one retrieved SRC forms a concept structure, wherein the concept structure includes at least metadata associated with the SRC matching the at least one retrieved SRC. 11. A non-transitory computer readable medium having stored thereon instructions for causing a processor to perform a method of claim 1 . | 0.859343 |
10,146,819 | 7 | 8 | 7. A computer program product for database indexing of a database, a database index including at least one index include, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a computer to cause the computer to perform a method, comprising: obtaining the number of executions of each of a plurality of Structured Query Language (SQL) statements within a certain time period for the database, respectively, wherein the plurality of SQL statements use the database index; for each of the at least one index include: calculating a number of hits of the index include according to the number of executions of each of the plurality of SQL statements; obtaining a length of the index include; calculating a hit frequency of the index include by using the number of hits and the length of the index include, wherein: the hit frequency equals the number of hits divided by the length; reserving the index include according to a predetermined criterion, and wherein the reserving the index include according to the predetermined criterion comprises reserving the index include whose hit frequency is greater than a predetermined threshold; introducing into the database index, the reserved index include whose hit frequency is greater than the predetermined threshold; and performing an index re-org by using the reserved index include such that the reserve index include whose hit frequency is greater than the predetermined threshold is being introduced in the database index, resulting in improved query performance of the database index for optimizing database indexing, and thereby not requiring designation of index includes by a database administrator. | 7. A computer program product for database indexing of a database, a database index including at least one index include, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a computer to cause the computer to perform a method, comprising: obtaining the number of executions of each of a plurality of Structured Query Language (SQL) statements within a certain time period for the database, respectively, wherein the plurality of SQL statements use the database index; for each of the at least one index include: calculating a number of hits of the index include according to the number of executions of each of the plurality of SQL statements; obtaining a length of the index include; calculating a hit frequency of the index include by using the number of hits and the length of the index include, wherein: the hit frequency equals the number of hits divided by the length; reserving the index include according to a predetermined criterion, and wherein the reserving the index include according to the predetermined criterion comprises reserving the index include whose hit frequency is greater than a predetermined threshold; introducing into the database index, the reserved index include whose hit frequency is greater than the predetermined threshold; and performing an index re-org by using the reserved index include such that the reserve index include whose hit frequency is greater than the predetermined threshold is being introduced in the database index, resulting in improved query performance of the database index for optimizing database indexing, and thereby not requiring designation of index includes by a database administrator. 8. The computer program product according to claim 7 , wherein the reserving the index include according to a predetermined criterion comprises: arranging the at least one index include in a descending order according to the hit frequency; and reserving a predetermined number of index includes with a higher hit frequency. | 0.5 |
9,959,013 | 7 | 8 | 7. The method of claim 1 , wherein the step of receiving data identifying the family relationship of the relative comprises providing a list of family relationships, and receiving a selection from the first user of one of the listed family relationships. | 7. The method of claim 1 , wherein the step of receiving data identifying the family relationship of the relative comprises providing a list of family relationships, and receiving a selection from the first user of one of the listed family relationships. 8. The method of claim 7 , wherein the list of family relationships is selected from a group comprising: father, mother, son, daughter, wife, husband, uncle, aunt, brother, sister, and cousin. | 0.5 |
9,881,042 | 1 | 7 | 1. A system for determining popularity of an individual, comprising: a database, the database configured to provide rankings of several individuals; a client computer; an information server for providing information of the individual, the information comprising qualitative data and quantitative data; and a popularity profiling server operably connected to the database, the client computer, and the information server, the popularity profiling server configured to receive, from the information server, the information, analyze a quantitative data portion of the information, analyze a qualitative data portion of the information using sentiment analysis, the sentiment analysis by natural language parsing to separate the qualitative data into parts of speech, calculate an initial set of scores for the popularity of the individual based on the analysis of the quantitative data portion and the qualitative data portion of the information, update a ranking for the popularity of the individual in the database based on the initial set of scores, determine, after waiting a predetermined amount of time, whether new data has been updated to the information on the information server, the predetermined amount of time entered by a client on the client computer, and if new data has been updated, calculate an updated set of scores for the information based on the new data, and update the ranking for the popularity of the individual on the database. | 1. A system for determining popularity of an individual, comprising: a database, the database configured to provide rankings of several individuals; a client computer; an information server for providing information of the individual, the information comprising qualitative data and quantitative data; and a popularity profiling server operably connected to the database, the client computer, and the information server, the popularity profiling server configured to receive, from the information server, the information, analyze a quantitative data portion of the information, analyze a qualitative data portion of the information using sentiment analysis, the sentiment analysis by natural language parsing to separate the qualitative data into parts of speech, calculate an initial set of scores for the popularity of the individual based on the analysis of the quantitative data portion and the qualitative data portion of the information, update a ranking for the popularity of the individual in the database based on the initial set of scores, determine, after waiting a predetermined amount of time, whether new data has been updated to the information on the information server, the predetermined amount of time entered by a client on the client computer, and if new data has been updated, calculate an updated set of scores for the information based on the new data, and update the ranking for the popularity of the individual on the database. 7. The system of claim 1 , wherein the individual is an artist. | 0.942096 |
9,696,877 | 15 | 18 | 15. A system comprising: one or more processors; and memory having one or more instructions stored thereon that, responsive to execution by the one or more processors, causes the one or more processors to perform operations comprising: presenting a first user interface having, and enabling selection of, multiple characters or character strings through a gesture or gesture portion, the multiple characters or character strings presented at least partially obscuring an unselected character entry control or adjacent to or surrounding a selected character entry control, at least one of the character strings having or completing a long word and a short word, the short word being shorter than the long word and being a constituent part of the long word, the short word and the long word being presented at a same time in the first user interface; and responsive to selection through the first user interface to select the short word or the long word through selection of one or more of the multiple characters or character strings, wherein selecting the multiple characters or character strings for the short word would be selecting a portion of the multiple characters or character strings for the long word, providing the selected short word or long word. | 15. A system comprising: one or more processors; and memory having one or more instructions stored thereon that, responsive to execution by the one or more processors, causes the one or more processors to perform operations comprising: presenting a first user interface having, and enabling selection of, multiple characters or character strings through a gesture or gesture portion, the multiple characters or character strings presented at least partially obscuring an unselected character entry control or adjacent to or surrounding a selected character entry control, at least one of the character strings having or completing a long word and a short word, the short word being shorter than the long word and being a constituent part of the long word, the short word and the long word being presented at a same time in the first user interface; and responsive to selection through the first user interface to select the short word or the long word through selection of one or more of the multiple characters or character strings, wherein selecting the multiple characters or character strings for the short word would be selecting a portion of the multiple characters or character strings for the long word, providing the selected short word or long word. 18. The system of claim 15 , wherein the operations further comprise presenting a gesture-sensitive character-entry interface through which the unselected character entry control or the selected character entry control is presented. | 0.648485 |
9,594,730 | 1 | 8 | 1. A method comprising: processing a web page to determine a plurality of segments, wherein each segment from the plurality of segments includes one or more HTML elements; each machine-based classifier of a plurality of machine-based classifiers generating, based at least upon metadata associated with two or more segments from the plurality of segments that indicates one or more presentation features in the HTML elements of the two or more segments from the plurality of segments, a probability output for each segment of the two or more segments from the plurality of segments, wherein each functional category from the plurality of functional categories corresponds to a functional role of HTML elements in the web page; wherein each machine-based classifier from the plurality of machine-based classifiers corresponds to a functional category from the plurality of functional categories; assigning, based on the plurality of probability output, one or more functional categories to each segment of the two or more segments; a first application selecting a first set of functional categories from the plurality of functional categories; a second application that is different than the first application selecting a second set of functional categories from the plurality of functional categories, wherein the second set of functional categories does not include functional categories from the first set of functional categories; the first application selecting for processing, based upon the first set of functional categories and the functional categories assigned to the two or more segments, a first set of one or more segments from the two or more segments; the second application selecting for processing, based upon the second set of functional categories and the functional categories assigned to the two or more segments, a second set of one or more segments from the two or more segments, wherein the second set of one or more segments includes at least one segment that is not in the first set of one or more segments and the first set of one or more segments includes at least one segment that is not in the second set of one or more segments; the first application processing content contained in the first set of one or more segments and not processing content contained in the second set of one or more segments; the second application processing content contained in the second set of one or more segments and not processing content contained in the first set of one or more segments; and wherein the method is performed by one or more computing devices. | 1. A method comprising: processing a web page to determine a plurality of segments, wherein each segment from the plurality of segments includes one or more HTML elements; each machine-based classifier of a plurality of machine-based classifiers generating, based at least upon metadata associated with two or more segments from the plurality of segments that indicates one or more presentation features in the HTML elements of the two or more segments from the plurality of segments, a probability output for each segment of the two or more segments from the plurality of segments, wherein each functional category from the plurality of functional categories corresponds to a functional role of HTML elements in the web page; wherein each machine-based classifier from the plurality of machine-based classifiers corresponds to a functional category from the plurality of functional categories; assigning, based on the plurality of probability output, one or more functional categories to each segment of the two or more segments; a first application selecting a first set of functional categories from the plurality of functional categories; a second application that is different than the first application selecting a second set of functional categories from the plurality of functional categories, wherein the second set of functional categories does not include functional categories from the first set of functional categories; the first application selecting for processing, based upon the first set of functional categories and the functional categories assigned to the two or more segments, a first set of one or more segments from the two or more segments; the second application selecting for processing, based upon the second set of functional categories and the functional categories assigned to the two or more segments, a second set of one or more segments from the two or more segments, wherein the second set of one or more segments includes at least one segment that is not in the first set of one or more segments and the first set of one or more segments includes at least one segment that is not in the second set of one or more segments; the first application processing content contained in the first set of one or more segments and not processing content contained in the second set of one or more segments; the second application processing content contained in the second set of one or more segments and not processing content contained in the first set of one or more segments; and wherein the method is performed by one or more computing devices. 8. The method of claim 1 , wherein the metadata associated with the two or more segments includes at least one of: a) amount of screen space taken to display the segment; b) height or width of the screen space taken to display the segment; c) number of hyperlinks contained within the segment; d) amount of text within the segment; e) ratio of hyperlinks to text within the segment; f) types of html elements contained within the segment; or g) color of the section and whether the color of the segment is different from the color of other segments. | 0.5 |
9,704,487 | 11 | 12 | 11. The vehicle according to claim 7 , wherein when the controller determines that a speech waveform of the speech uttered from the user is different from a speech waveform acquired by the at least one user terminal, and that a plurality of results of speech recognition are acquired by the speech recognition module, the controller is configured to exclude the result of speech recognition acquired by the at least one user terminal from among the plurality of results of speech recognition. | 11. The vehicle according to claim 7 , wherein when the controller determines that a speech waveform of the speech uttered from the user is different from a speech waveform acquired by the at least one user terminal, and that a plurality of results of speech recognition are acquired by the speech recognition module, the controller is configured to exclude the result of speech recognition acquired by the at least one user terminal from among the plurality of results of speech recognition. 12. The vehicle according to claim 11 , wherein the controller is configured to control the device in the vehicle to provide a speech recognition result list in which the result of speech recognition acquired from the at least one user terminal is excluded from among the plurality of results of speech recognition. | 0.5 |
9,020,957 | 17 | 20 | 17. A non-transitory computer-readable-storage medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to: identify social networking content accessed from a social networking platform; parse the social networking content to identify at least one content item that is potentially referenced in at least one of a plurality of social networking platforms that are different from the social networking platform; search, based on a juxtaposition of a person and one of a topic, an event, and a time, the plurality of social networking platforms for an additional content item that relates to the content item, wherein the relationship between the additional content item and the content item comprises the juxtaposition; enhance the social networking content with the additional content item. | 17. A non-transitory computer-readable-storage medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to: identify social networking content accessed from a social networking platform; parse the social networking content to identify at least one content item that is potentially referenced in at least one of a plurality of social networking platforms that are different from the social networking platform; search, based on a juxtaposition of a person and one of a topic, an event, and a time, the plurality of social networking platforms for an additional content item that relates to the content item, wherein the relationship between the additional content item and the content item comprises the juxtaposition; enhance the social networking content with the additional content item. 20. The computer-readable-storage medium of claim 17 , wherein the one or more computer-executable instructions cause the computing device to enhance the social networking content by causing the computing device to: inject a link to the additional content item into the social networking content; display the social networking content enhanced with the injected link to the additional content item. | 0.5 |
7,506,257 | 9 | 12 | 9. A computer comprising: a plurality of software components installed on the computer and hardware components installed on the computer; a help content store for storing help contents for help topics for software components installed on the computer and hardware components installed on the computer, the help content store having a plurality of separate vendor folders corresponding to different vendors of the software components installed on the computer and hardware components installed on the computer, each vendor folder containing help contents of respective help topics provided by a corresponding vendor, the help contents usable by a unified taxonomy structure of help categories and help topics, wherein a first vendor corresponds to a first component selected from the plurality of different software components and the plurality of different hardware components and a second vendor corresponds to a second component selected from the plurality of different software components and the plurality of different hardware components, the first vendor and the second vendor being included in the different vendors; a help database containing mapping data for mapping the help topics from the different vendors into the unified taxonomy structure of help categories and help topics, the unified taxonomy structure being common to and inclusive of the help topics provided by the different vendors, and a first level of categories and a second level of categories in the unified taxonomy structure being predefined, static, and used by all the different vendors of software components installed on the computer and hardware components installed on the computer, the mapping data including data for each help topic for identifying a node position of said each help topic in the unified taxonomy structure and a location of corresponding help content of said each help topic in the help content store, the mapping data stored in a mapping data file including an action field configurable to include data to indicate whether the contents or mapping of the topics are to be at least one of the following: added, removed, and updated; a help content update module for updating the help contents in the help content store and the mapping data in the help database based on update packets received from the vendors; a help application for providing a user interface for presenting the help topics to a user, the help application being programmed to interactively display the unified taxonomy structure using the mapping data in the help database and the help contents in the content store, including displaying the help categories and the help topics in the unified taxonomy structure in response to user selections, retrieving a user-selected help topic contents, and displaying the user-selected help topic contents; and a script library for storing a plurality of script library objects used in the help contents of the help topics stored in the help content store, wherein the script library objects are operative to collect system operation information, and upload the system operation information to a vendor associated with the script library object; and an authorization store for storing information identifying which of the help contents are authorized to access the script library objects, wherein accessing the script library objects comprises accessing at least one of the following: a local database, and a remote database, wherein accessing the remote database requires that a Uniform Resource Locator (URL) associated with the remote database is listed in a local content store. | 9. A computer comprising: a plurality of software components installed on the computer and hardware components installed on the computer; a help content store for storing help contents for help topics for software components installed on the computer and hardware components installed on the computer, the help content store having a plurality of separate vendor folders corresponding to different vendors of the software components installed on the computer and hardware components installed on the computer, each vendor folder containing help contents of respective help topics provided by a corresponding vendor, the help contents usable by a unified taxonomy structure of help categories and help topics, wherein a first vendor corresponds to a first component selected from the plurality of different software components and the plurality of different hardware components and a second vendor corresponds to a second component selected from the plurality of different software components and the plurality of different hardware components, the first vendor and the second vendor being included in the different vendors; a help database containing mapping data for mapping the help topics from the different vendors into the unified taxonomy structure of help categories and help topics, the unified taxonomy structure being common to and inclusive of the help topics provided by the different vendors, and a first level of categories and a second level of categories in the unified taxonomy structure being predefined, static, and used by all the different vendors of software components installed on the computer and hardware components installed on the computer, the mapping data including data for each help topic for identifying a node position of said each help topic in the unified taxonomy structure and a location of corresponding help content of said each help topic in the help content store, the mapping data stored in a mapping data file including an action field configurable to include data to indicate whether the contents or mapping of the topics are to be at least one of the following: added, removed, and updated; a help content update module for updating the help contents in the help content store and the mapping data in the help database based on update packets received from the vendors; a help application for providing a user interface for presenting the help topics to a user, the help application being programmed to interactively display the unified taxonomy structure using the mapping data in the help database and the help contents in the content store, including displaying the help categories and the help topics in the unified taxonomy structure in response to user selections, retrieving a user-selected help topic contents, and displaying the user-selected help topic contents; and a script library for storing a plurality of script library objects used in the help contents of the help topics stored in the help content store, wherein the script library objects are operative to collect system operation information, and upload the system operation information to a vendor associated with the script library object; and an authorization store for storing information identifying which of the help contents are authorized to access the script library objects, wherein accessing the script library objects comprises accessing at least one of the following: a local database, and a remote database, wherein accessing the remote database requires that a Uniform Resource Locator (URL) associated with the remote database is listed in a local content store. 12. A computer as in claim 9 , wherein the help content update module is programmed to add, move, and remove help topics from the unified taxonomy structure by updating the mapping data in the help database. | 0.635563 |
9,043,917 | 11 | 16 | 11. A method, comprising: receiving a Portable Document Format (PDF) file that is known to include malicious content; parsing, using a processor, the PDF file to identify a cross-reference table included in the PDF file; and generating a signature associated with the PDF file from the identified cross-reference table. | 11. A method, comprising: receiving a Portable Document Format (PDF) file that is known to include malicious content; parsing, using a processor, the PDF file to identify a cross-reference table included in the PDF file; and generating a signature associated with the PDF file from the identified cross-reference table. 16. The method of claim 11 , wherein generating the signature associated with the PDF file is based at least in part on at least one reference object included in the identified cross-reference table. | 0.772311 |
10,007,728 | 12 | 15 | 12. A method comprising: maintaining a plurality of pages on a social networking system; clustering the plurality of pages by a concept; ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages, the one or more rules applied based on a predetermined hierarchy and profile information of a user requesting a page of the cluster of pages; selecting, based on the ranking associated with the plurality of pages of the cluster, a best page for the concept; and directing the user requesting a page of the plurality of pages of the cluster to the selected best page. | 12. A method comprising: maintaining a plurality of pages on a social networking system; clustering the plurality of pages by a concept; ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages, the one or more rules applied based on a predetermined hierarchy and profile information of a user requesting a page of the cluster of pages; selecting, based on the ranking associated with the plurality of pages of the cluster, a best page for the concept; and directing the user requesting a page of the plurality of pages of the cluster to the selected best page. 15. The method of claim 12 , wherein ranking, by a processor, a plurality of pages of the cluster of pages based on one or more rules analyzing attributes of the plurality of pages of the cluster of pages, the one or more rules applied based on a predetermined hierarchy further comprises: ranking the plurality of pages based on a number of users expressing interest in each page of the plurality of pages. | 0.567941 |
8,224,649 | 16 | 17 | 16. An apparatus for providing a remote administrator access to a target application, the apparatus comprising an interactive voice response (“IVR”) system for receiving an access request from the remote administrator, wherein the IVR is configured to receive access request in speech form, authenticate the remote administrator prior to granting access to the target application to perform an administrative function defined by: re-programming the application, obtaining diagnostics, and conducting remote maintenance, and, once access is granted, communicate the target system configurations to the remote administrator in speech form; wherein the authenticating step further comprises using a secret phrase or a biometric characteristic with an authentication routine taken from the group consisting of: speaker recognition, speech recognition and natural language question/response. | 16. An apparatus for providing a remote administrator access to a target application, the apparatus comprising an interactive voice response (“IVR”) system for receiving an access request from the remote administrator, wherein the IVR is configured to receive access request in speech form, authenticate the remote administrator prior to granting access to the target application to perform an administrative function defined by: re-programming the application, obtaining diagnostics, and conducting remote maintenance, and, once access is granted, communicate the target system configurations to the remote administrator in speech form; wherein the authenticating step further comprises using a secret phrase or a biometric characteristic with an authentication routine taken from the group consisting of: speaker recognition, speech recognition and natural language question/response. 17. The apparatus of claim 16 , wherein the IVR further comprises a speaker recognition device for identifying the remote administrator by comparing a speech pattern with a known speech pattern. | 0.5 |
7,711,573 | 411 | 418 | 411. A computer program product, to be used on a computer, for improving a precision ratio when searching a resume database, comprising: a computer readable medium storing: program code for receiving a resume; program code for parsing the resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range; program code for storing the resume in the resume database; program code for associating at least one of said at least one skill or experience-related phrase located in the resume with at least one implied skill or experience-related phrase, wherein a term of experience for each said at least one implied skill or experience-related phrase is the term of experience computed for said at least one of said at least one skill or experience-related phrase, and wherein said at least one skill or experience-related phrase and said at least one implied skill or experience-related phrase are searchable phrases in the resume; program code for creating a parsed resume based on the resume, the parsed resume including each searchable phrase in the resume, the term of experience for each searchable phrase, and a relationship between the term of experience and each searchable phrase; program code for storing the parsed resume in the resume database; program code for sending a database query to the resume database, the database query including a job description that includes at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase, and a required term of experience; and program code for receiving a result set in response to the database query, wherein the result set includes the resume when the parsed resume satisfies the job description. | 411. A computer program product, to be used on a computer, for improving a precision ratio when searching a resume database, comprising: a computer readable medium storing: program code for receiving a resume; program code for parsing the resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range; program code for storing the resume in the resume database; program code for associating at least one of said at least one skill or experience-related phrase located in the resume with at least one implied skill or experience-related phrase, wherein a term of experience for each said at least one implied skill or experience-related phrase is the term of experience computed for said at least one of said at least one skill or experience-related phrase, and wherein said at least one skill or experience-related phrase and said at least one implied skill or experience-related phrase are searchable phrases in the resume; program code for creating a parsed resume based on the resume, the parsed resume including each searchable phrase in the resume, the term of experience for each searchable phrase, and a relationship between the term of experience and each searchable phrase; program code for storing the parsed resume in the resume database; program code for sending a database query to the resume database, the database query including a job description that includes at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase, and a required term of experience; and program code for receiving a result set in response to the database query, wherein the result set includes the resume when the parsed resume satisfies the job description. 418. The computer program product of claim 411 , wherein the program code for storing the resume further comprises: program code for storing the resume as a private resume, wherein the resume database is accessible by at least one recruiter, and the private resume is accessible by only one recruiter of said at least one recruiter. | 0.70979 |
9,483,527 | 1 | 4 | 1. A method for decision reasoning, the method comprising using at least one hardware processor to: provide a database comprising decisions, questions and reasons; receive, from a user, a selection of a decision being part of said decisions; retrieve, from said database, relevant questions out of said questions, wherein said relevant questions are associated, within said database, with said decision received from the user; receive, from the user, answers to at least some of said relevant questions; process said answers so as to retrieve, from said database, one or more relevant reasons out of said reasons, wherein the one or more relevant reasons are one or more arguments justifying said decision; and display said one or more relevant reasons to the user. | 1. A method for decision reasoning, the method comprising using at least one hardware processor to: provide a database comprising decisions, questions and reasons; receive, from a user, a selection of a decision being part of said decisions; retrieve, from said database, relevant questions out of said questions, wherein said relevant questions are associated, within said database, with said decision received from the user; receive, from the user, answers to at least some of said relevant questions; process said answers so as to retrieve, from said database, one or more relevant reasons out of said reasons, wherein the one or more relevant reasons are one or more arguments justifying said decision; and display said one or more relevant reasons to the user. 4. The method according to claim 1 , wherein each of said questions is of a type selected from the group consisting of: a multiple-choice question, a yes/no question and an open-ended question. | 0.719477 |
9,122,950 | 15 | 16 | 15. The method of claim 1 , further comprising: computing a plurality of attributes for the plurality of points in the subject image to be applied to the trained classifier; and wherein applying the plurality of points in the subject image to the trained classifier comprises applying a plurality of points in the subject image and the computed attributes for those points to the trained classifier to generate the second data. | 15. The method of claim 1 , further comprising: computing a plurality of attributes for the plurality of points in the subject image to be applied to the trained classifier; and wherein applying the plurality of points in the subject image to the trained classifier comprises applying a plurality of points in the subject image and the computed attributes for those points to the trained classifier to generate the second data. 16. The method of claim 15 , wherein the attributes comprise at least two members of the group consisting of an image intensity, an image location, an image gradient and gradient magnitude, a plurality of eigen-values of a Hessian matrix for the subject image, an image texture measure, a local image patch, a Haar feature, HOG, SIFT, and a local binary pattern. | 0.5 |
7,792,826 | 1 | 8 | 1. A subject ranking management system for providing ranked search results, the subject ranking management system comprising: a computer; a search engine unit to generate a set of search results, using an index corpus, wherein the search results comprise one or more matching subject items, and wherein the matching subject items match a given set of one or more search terms; a subject hierarchy managing unit to determine, using a taxonomy, one or more parent subject items for the one or more matching subject items, wherein the taxonomy includes at least one of topics and subjects, and wherein the index corpus is related to one of the at least one of the topics and the subjects of the taxonomy; a ranking calculation unit to statistically rank relevant subject items including the matching subject items and the parent subject items, wherein the ranking calculation unit comprises a relevance handler to determine a hierarchy score for each of the relevant subject items based on (1) hierarchy relationships between the each of the relevant subject items and other subject items, and (2) a number of references to one of the matching subject items in original data that is being searched; and a result organizing unit to organize the relevant subject items based on the statistical ranking performed by the ranking calculation unit for each relevant subject item, wherein at least one of the search engine unit, subject hierarchy managing unit, the ranking calculation unit, and the result organizing unit are executable by the computer. | 1. A subject ranking management system for providing ranked search results, the subject ranking management system comprising: a computer; a search engine unit to generate a set of search results, using an index corpus, wherein the search results comprise one or more matching subject items, and wherein the matching subject items match a given set of one or more search terms; a subject hierarchy managing unit to determine, using a taxonomy, one or more parent subject items for the one or more matching subject items, wherein the taxonomy includes at least one of topics and subjects, and wherein the index corpus is related to one of the at least one of the topics and the subjects of the taxonomy; a ranking calculation unit to statistically rank relevant subject items including the matching subject items and the parent subject items, wherein the ranking calculation unit comprises a relevance handler to determine a hierarchy score for each of the relevant subject items based on (1) hierarchy relationships between the each of the relevant subject items and other subject items, and (2) a number of references to one of the matching subject items in original data that is being searched; and a result organizing unit to organize the relevant subject items based on the statistical ranking performed by the ranking calculation unit for each relevant subject item, wherein at least one of the search engine unit, subject hierarchy managing unit, the ranking calculation unit, and the result organizing unit are executable by the computer. 8. The subject ranking management system as claimed in claim 1 , wherein the result organizing unit has a list generator to generate a list of relevant subjects based on the ranking calculated by the item ranking calculation unit. | 0.615385 |
8,775,928 | 1 | 5 | 1. A computer-implemented method comprising: providing electronic data including a first electronic document, the first electronic document having a layout defining a first rendered appearance, the layout being formatting information defining a first rendered appearance of the first electronic document, the first electronic document containing a plurality of references; receiving user input specifying a first selection operation that defines a first area of interest in the first electronic document based on the layout of the first electronic document; using the first area of interest to define a first action area over the first rendered appearance, the first action area having a position relative to the first rendered appearance, the first action area containing one or more of the plurality of references, the defined first action area being less than an entire area of the first electronic document; identifying the references contained in the first action area; retrieving a second electronic document using one of the references contained in the first action area; using the definition of the first action area to define automatically a second action area over a second rendered appearance of the second electronic document, the second action area having the same position over the second rendered appearance as the first action area has over the first rendered appearance; and identifying references contained in the second action area. | 1. A computer-implemented method comprising: providing electronic data including a first electronic document, the first electronic document having a layout defining a first rendered appearance, the layout being formatting information defining a first rendered appearance of the first electronic document, the first electronic document containing a plurality of references; receiving user input specifying a first selection operation that defines a first area of interest in the first electronic document based on the layout of the first electronic document; using the first area of interest to define a first action area over the first rendered appearance, the first action area having a position relative to the first rendered appearance, the first action area containing one or more of the plurality of references, the defined first action area being less than an entire area of the first electronic document; identifying the references contained in the first action area; retrieving a second electronic document using one of the references contained in the first action area; using the definition of the first action area to define automatically a second action area over a second rendered appearance of the second electronic document, the second action area having the same position over the second rendered appearance as the first action area has over the first rendered appearance; and identifying references contained in the second action area. 5. The method of claim 1 , further comprising retrieving one or more third electronic documents using the references contained in the second action area. | 0.761682 |
7,706,780 | 11 | 18 | 11. An apparatus comprising: a user interface, a processor for mobile communication, an application run by said processor, wherein an item is generated in said application, and a notification text is associated with said item, a text-to-speech generator for generating synthetic speech corresponding to said notification text; a call generator for generating a call to a telephone; and an output for rendering said synthetic speech through said call. | 11. An apparatus comprising: a user interface, a processor for mobile communication, an application run by said processor, wherein an item is generated in said application, and a notification text is associated with said item, a text-to-speech generator for generating synthetic speech corresponding to said notification text; a call generator for generating a call to a telephone; and an output for rendering said synthetic speech through said call. 18. The apparatus according to claim 11 , wherein said item is an e-mail. | 0.867273 |
9,524,341 | 1 | 2 | 1. A method of operating of a retrieval system, intended for searching of information in the Internet, wherein the retrieval system possesses by a combination of properties: 1) the retrieval system comprises a server of the retrieval system, which comprises: a Web site of the retrieval system, with programs of searching, and physical media of storage of information, where a database of a Global Classification of Information in the Internet, a database of a Classification of Kinds of information, a database of information about Web sites, and a database of information about control programs are stored; 2) the server of the retrieval system connects by means of the Internet with one or more servers, where Web sites of information suppliers are stored, and the retrieval system communicates with these servers with help of the Internet; 3) the server of the retrieval system connects with one or more computers of searchers of information and with one or more computers of information suppliers by means of the Internet, and the retrieval system communicates with these computers with help of the Internet; 4) the server of the retrieval system connects by means of the Internet with automatic systems and with servers or computers, where control programs for control of automatic systems are stored, wherein automatic systems are remote technical objects, wherein said technical objects comprise: compressors and electric motors of compressors of compressor stations of gas transmission pipelines, wind generators, navigation systems of vehicles, ships or airplanes, technical objects of meteorological services, technical objects with motion, machines, and automatic production lines, and wherein the retrieval system communicates with these technical objects and with these servers or computers with help of the Internet; and 5) the retrieval system and automatic systems, which are connected by means of the Internet, the database of information about control programs, and servers or computers, where control programs are stored, represent a system of hardware and software, which is designed for control of the automatic systems with help of the Internet, wherein the automatic systems represent remote technical objects; and wherein the method of operating of the retrieval system, intended for searching of information in the Internet, wherein the retrieval system possesses by said combination of properties, comprises a combination of: a) development of a Global Classification of Information in the Internet, which is a hierarchical tree with names and corresponding codes of all divisions and subdivisions of information, which is stored in the Internet, and wherein the Global Classification of Information in the Internet includes characteristics of information, specific for the every division and subdivision; and storing of the Global Classification of Information in the Internet in the database of the Global Classification of Information in the Internet, located on physical media of storage of information of the server of the retrieval system; b) development of a Classification of Kinds of information, wherein kinds of information comprise: 1) news, 2) advertisings, 3) announcements, 4) scientific information, 5) information of electronic shops, 6) comments, and 7) blogs; and storing the Classification of Kinds of information in the database of the Classification of Kinds of information, located on physical media of storage of information of the server of the retrieval system; c) registering of information about Web sites, provided by information suppliers, wherein these Web sites are stored on servers in the Internet, and wherein registration is carry out with help of the Web site of the retrieval system and with help of computers of information suppliers, which are connected with the Internet, and wherein the registration comprises at least of filling of an application form, comprising data of: 1) URL address of a Web site of an information supplier, 2) a name of an owner of the Web site, 3) a home address or an official address of the owner of the Web site, 4) an e-mail address of the information supplier, 5) a name of a division of the Global Classification of Information in the Internet, to which this Web site is related in opinion of the information supplier, 6) key words, which characterize information, presented in the Web site, 7) a kind of information, contained in the Web site, according to the Classification of Kinds of information, 8) an author of information, contained in the Web site, 9) a country, where the Web site is situated, 10) a language of information, contained in the Web site, 11) a free or fee-based information, which is contained in the Web site, 12) a free access to information of the Web site or a registration procedure is needed for access to information of the Web site, and 13) characteristics of information, contained in the Web site, specific for selected division of the Global Classification of Information in the Internet; d) evaluation of Web sites, provided by information suppliers, by the retrieval system, wherein the evaluation comprises: 1) evaluation of Web sites, provided by information suppliers, by the retrieval system with respect to readability of these Web sites by Internet browsers, 2) evaluation of Web sites by the retrieval system with respect to compliance of Web sites to general aspects of Web technology, national and international legal regulations, and 3) evaluation of Web sites by the retrieval system with respect to authenticity of information, which is contained in Web sites; e) payment by information suppliers of a fee for a registration of information about Web site in the retrieval system and payment by information suppliers of a fee for service, provided by the retrieval system, wherein these payments comprise a combination of properties: 1) these payments switch mutual relation of the retrieval system and an information supplier to a frame of a contract relation, 2) the retrieval system is obliged to deliver information of the information supplier to searchers of information, and 3) the information supplier can demand of improving of quality of service, provided by the retrieval system; f) writing of information about Web sites, provided by information suppliers, in the database of information about Web sites and storing of said information, where this information for every registered Web site comprises: 1) URL address of a registered Web site, 2) a code of division of the Global Classification of Information in the Internet, to which this Web site is related, 3) key words concerning to main content of the Web site, 4) a kind of information, contained in the Web site, according to the Classification of Kinds of information, 5) an author of information, contained in the Web site, 6) a country, where the Web site is situated, 7) a language of information, contained in the Web site, 8) a free or fee-based information, which is contained in the Web site, 9) a free access to information of the Web site or a registration procedure is needed for access to information of the Web site, 10) data characterizing an authenticity of information, contained in the Web site, 11) volume of information, contained in the Web site, 12) a date of the registration of information about Web site in the retrieval system or a date of update of information, contained in the Web site, and 13) characteristics of information, contained in the Web site, specific for selected division of the Global Classification of Information in the Internet; wherein the database of information about Web sites represents a table of relational database, which comprises a combination of properties: 1) one of columns of the table comprises primary keys, 2) codes of information according to the Global Classification of Information in the Internet and codes of kind of information according to the Classification of Kinds of information are represented by foreign keys of corresponding related tables of the database, 3) other data of the table are represented in a text or a digital format, and 4) data about each Web site are contained in one row of the table of the database; g) choice of a needed division of the Global Classification of Information in the Internet by a searcher of information, wherein the choice comprises one of two ways: 1) first way represents manual choice of the needed division of the Global Classification of Information in the Internet with help of browser of the retrieval system and the hierarchical tree of the Global Classification of Information in the Internet; or 2) second way represents an automatic search in a list of divisions of the Global Classification of Information in the Internet by the retrieval system on the basis of a combination of key words, which the searcher of information gives to the retrieval system, and choice of the needed division of the Global Classification of Information in the Internet from this list; h) preparation of a request for searching of required Web sites in the Internet by a searcher of information, wherein this request comprises of inserting of a name of division of the Global Classification of Information in the Internet in a searching window of a browser of the retrieval system; i) searching of needed information, in accordance with the request of a searcher of information, which comprises a name of division of the Global Classification of Information in the Internet, in the database of information about Web sites of the retrieval system, according to the name and code of said division of the Global Classification of Information in the Internet, by the retrieval system and providing of the searcher of information by a result of searching, wherein the result of searching comprises a list of addresses of Web sites; j) selecting of required data from the result of searching, which is represented in form of a list of addresses of Web sites, for searchers of information according to predetermined algorithm of selecting and providing of a searcher of information by a result of selecting, or selecting of required data from the result of searching, which is represented in form of a list of addresses of Web sites, according to stepwise selecting, and providing of a searcher of information by a result of selecting, wherein the result of selecting comprises a new list of addresses of Web sites, which is smaller than the list of addresses of Web sites, received in result of searching; k) organization of an automatic collection of information by means of the retrieval system out of Web sites, which are stored on servers in the Internet, wherein the automatic collection of information comprises a combination of properties: 1) Web sites, which are dedicated for the automatic collection of information, are separated into information elements, which can be used or considered separately, 2) headings of these information elements have special tags, 3) a search of links on required Web sites is carried out in database of the retrieval system, 4) an analysis of headings of information elements and analysis of information, contained in information elements of found Web sites, is carried out by the retrieval system in servers in the Internet, where these found Web sites are situated, and 5) a result of the automatic collecting of information is provided in form of a text file, which consists of collected information elements, which comprise both fragments of text, and drawings and photos, and wherein this file can include references about sources of information; and l) organization of an automatic control and of functioning of remote technical objects by means of the Internet and the retrieval system and organization of automatic data exchange between remote technical objects and servers or computers, where control programs are situated, by means of the Internet and the retrieval system, wherein said technical objects comprise: 1) compressors and electric motors of compressors of compressor stations of gas transmission pipelines, 2) wind generators, 3) navigation systems of vehicles, ships or airplanes, 4) technical objects of meteorological services, 5) technical objects with motion, 6) machines, and 7) automatic production lines. | 1. A method of operating of a retrieval system, intended for searching of information in the Internet, wherein the retrieval system possesses by a combination of properties: 1) the retrieval system comprises a server of the retrieval system, which comprises: a Web site of the retrieval system, with programs of searching, and physical media of storage of information, where a database of a Global Classification of Information in the Internet, a database of a Classification of Kinds of information, a database of information about Web sites, and a database of information about control programs are stored; 2) the server of the retrieval system connects by means of the Internet with one or more servers, where Web sites of information suppliers are stored, and the retrieval system communicates with these servers with help of the Internet; 3) the server of the retrieval system connects with one or more computers of searchers of information and with one or more computers of information suppliers by means of the Internet, and the retrieval system communicates with these computers with help of the Internet; 4) the server of the retrieval system connects by means of the Internet with automatic systems and with servers or computers, where control programs for control of automatic systems are stored, wherein automatic systems are remote technical objects, wherein said technical objects comprise: compressors and electric motors of compressors of compressor stations of gas transmission pipelines, wind generators, navigation systems of vehicles, ships or airplanes, technical objects of meteorological services, technical objects with motion, machines, and automatic production lines, and wherein the retrieval system communicates with these technical objects and with these servers or computers with help of the Internet; and 5) the retrieval system and automatic systems, which are connected by means of the Internet, the database of information about control programs, and servers or computers, where control programs are stored, represent a system of hardware and software, which is designed for control of the automatic systems with help of the Internet, wherein the automatic systems represent remote technical objects; and wherein the method of operating of the retrieval system, intended for searching of information in the Internet, wherein the retrieval system possesses by said combination of properties, comprises a combination of: a) development of a Global Classification of Information in the Internet, which is a hierarchical tree with names and corresponding codes of all divisions and subdivisions of information, which is stored in the Internet, and wherein the Global Classification of Information in the Internet includes characteristics of information, specific for the every division and subdivision; and storing of the Global Classification of Information in the Internet in the database of the Global Classification of Information in the Internet, located on physical media of storage of information of the server of the retrieval system; b) development of a Classification of Kinds of information, wherein kinds of information comprise: 1) news, 2) advertisings, 3) announcements, 4) scientific information, 5) information of electronic shops, 6) comments, and 7) blogs; and storing the Classification of Kinds of information in the database of the Classification of Kinds of information, located on physical media of storage of information of the server of the retrieval system; c) registering of information about Web sites, provided by information suppliers, wherein these Web sites are stored on servers in the Internet, and wherein registration is carry out with help of the Web site of the retrieval system and with help of computers of information suppliers, which are connected with the Internet, and wherein the registration comprises at least of filling of an application form, comprising data of: 1) URL address of a Web site of an information supplier, 2) a name of an owner of the Web site, 3) a home address or an official address of the owner of the Web site, 4) an e-mail address of the information supplier, 5) a name of a division of the Global Classification of Information in the Internet, to which this Web site is related in opinion of the information supplier, 6) key words, which characterize information, presented in the Web site, 7) a kind of information, contained in the Web site, according to the Classification of Kinds of information, 8) an author of information, contained in the Web site, 9) a country, where the Web site is situated, 10) a language of information, contained in the Web site, 11) a free or fee-based information, which is contained in the Web site, 12) a free access to information of the Web site or a registration procedure is needed for access to information of the Web site, and 13) characteristics of information, contained in the Web site, specific for selected division of the Global Classification of Information in the Internet; d) evaluation of Web sites, provided by information suppliers, by the retrieval system, wherein the evaluation comprises: 1) evaluation of Web sites, provided by information suppliers, by the retrieval system with respect to readability of these Web sites by Internet browsers, 2) evaluation of Web sites by the retrieval system with respect to compliance of Web sites to general aspects of Web technology, national and international legal regulations, and 3) evaluation of Web sites by the retrieval system with respect to authenticity of information, which is contained in Web sites; e) payment by information suppliers of a fee for a registration of information about Web site in the retrieval system and payment by information suppliers of a fee for service, provided by the retrieval system, wherein these payments comprise a combination of properties: 1) these payments switch mutual relation of the retrieval system and an information supplier to a frame of a contract relation, 2) the retrieval system is obliged to deliver information of the information supplier to searchers of information, and 3) the information supplier can demand of improving of quality of service, provided by the retrieval system; f) writing of information about Web sites, provided by information suppliers, in the database of information about Web sites and storing of said information, where this information for every registered Web site comprises: 1) URL address of a registered Web site, 2) a code of division of the Global Classification of Information in the Internet, to which this Web site is related, 3) key words concerning to main content of the Web site, 4) a kind of information, contained in the Web site, according to the Classification of Kinds of information, 5) an author of information, contained in the Web site, 6) a country, where the Web site is situated, 7) a language of information, contained in the Web site, 8) a free or fee-based information, which is contained in the Web site, 9) a free access to information of the Web site or a registration procedure is needed for access to information of the Web site, 10) data characterizing an authenticity of information, contained in the Web site, 11) volume of information, contained in the Web site, 12) a date of the registration of information about Web site in the retrieval system or a date of update of information, contained in the Web site, and 13) characteristics of information, contained in the Web site, specific for selected division of the Global Classification of Information in the Internet; wherein the database of information about Web sites represents a table of relational database, which comprises a combination of properties: 1) one of columns of the table comprises primary keys, 2) codes of information according to the Global Classification of Information in the Internet and codes of kind of information according to the Classification of Kinds of information are represented by foreign keys of corresponding related tables of the database, 3) other data of the table are represented in a text or a digital format, and 4) data about each Web site are contained in one row of the table of the database; g) choice of a needed division of the Global Classification of Information in the Internet by a searcher of information, wherein the choice comprises one of two ways: 1) first way represents manual choice of the needed division of the Global Classification of Information in the Internet with help of browser of the retrieval system and the hierarchical tree of the Global Classification of Information in the Internet; or 2) second way represents an automatic search in a list of divisions of the Global Classification of Information in the Internet by the retrieval system on the basis of a combination of key words, which the searcher of information gives to the retrieval system, and choice of the needed division of the Global Classification of Information in the Internet from this list; h) preparation of a request for searching of required Web sites in the Internet by a searcher of information, wherein this request comprises of inserting of a name of division of the Global Classification of Information in the Internet in a searching window of a browser of the retrieval system; i) searching of needed information, in accordance with the request of a searcher of information, which comprises a name of division of the Global Classification of Information in the Internet, in the database of information about Web sites of the retrieval system, according to the name and code of said division of the Global Classification of Information in the Internet, by the retrieval system and providing of the searcher of information by a result of searching, wherein the result of searching comprises a list of addresses of Web sites; j) selecting of required data from the result of searching, which is represented in form of a list of addresses of Web sites, for searchers of information according to predetermined algorithm of selecting and providing of a searcher of information by a result of selecting, or selecting of required data from the result of searching, which is represented in form of a list of addresses of Web sites, according to stepwise selecting, and providing of a searcher of information by a result of selecting, wherein the result of selecting comprises a new list of addresses of Web sites, which is smaller than the list of addresses of Web sites, received in result of searching; k) organization of an automatic collection of information by means of the retrieval system out of Web sites, which are stored on servers in the Internet, wherein the automatic collection of information comprises a combination of properties: 1) Web sites, which are dedicated for the automatic collection of information, are separated into information elements, which can be used or considered separately, 2) headings of these information elements have special tags, 3) a search of links on required Web sites is carried out in database of the retrieval system, 4) an analysis of headings of information elements and analysis of information, contained in information elements of found Web sites, is carried out by the retrieval system in servers in the Internet, where these found Web sites are situated, and 5) a result of the automatic collecting of information is provided in form of a text file, which consists of collected information elements, which comprise both fragments of text, and drawings and photos, and wherein this file can include references about sources of information; and l) organization of an automatic control and of functioning of remote technical objects by means of the Internet and the retrieval system and organization of automatic data exchange between remote technical objects and servers or computers, where control programs are situated, by means of the Internet and the retrieval system, wherein said technical objects comprise: 1) compressors and electric motors of compressors of compressor stations of gas transmission pipelines, 2) wind generators, 3) navigation systems of vehicles, ships or airplanes, 4) technical objects of meteorological services, 5) technical objects with motion, 6) machines, and 7) automatic production lines. 2. The method according to claim 1 , wherein selecting of required data from the result of searching, which represents the list of addresses of Web sites, according to predetermined algorithm of selecting for searchers of information comprises a combination of steps: a) choosing of any combination of criterions and ranking of selected criterions of information about Web site for selecting by a searcher of information, where said criterions comprise: 1) a kind of information, contained in Web site, according to the Classification of Kinds of information, 2) an author of information, contained in Web site, 3) a country, where Web site is situated, 4) a language of information, contained in Web site, 5) an authenticity of information, contained in Web site, 6) a date of the registration of information about Web site in the retrieval system or a date of last update of information of Web site, 7) a free or fee-based information, which is contained in Web site, 8) a free access to information of Web site or a registration procedure is needed for access to information of Web site, 9) volume of information, contained in Web site, and 10) characteristics of information, contained in Web site, specific for selected division of the Global Classification of Information in the Internet; b) choosing of key words by the searcher of information; c) selecting of required data from the result of searching by the retrieval system according to numerical order of chosen criterions, wherein this selecting comprises: 1) selecting of addresses of Web sites from the result of searching in accordance with a criterion, having first priority, by the retrieval system and receiving of a new list of result, corresponding to first criterion, 2) then selecting of addresses of Web sites from previous result of selecting in accordance with a criterion, having second priority, and receiving of a new list of result, corresponding to second criterion, and 3) so on to last from chosen criterions and receiving of a result of selecting of this step; d) selecting of required data from the result of selecting, which have been got in previous step, by the retrieval system on the basis of key words and providing of the searcher of information by a result of selecting; e) analyzing of the result of selecting by the searcher of information; f) repeating of selecting of required data from the result of searching according to predetermined algorithm with other criterions, if obtained information not satisfies of the searcher of information; and g) receiving by the searcher of information of a final result of selecting, which represents a new list of addresses of Web sites, which is smaller than the list of addresses of Web sites, received in result of searching. | 0.720627 |
8,195,319 | 1 | 7 | 1. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: applying a rule or a probabilistic model to state data that references a state of a mobile device and sensor data that is sensed by one or more sensors of the mobile device; inferring, based on applying the rule or the probabilistic model to the state data and the sensor data, that a user of the mobile device is likely to initiate voice input; commencing a background audio recording in response to inferring that the user is likely to initiate voice input; and transmitting (i) an audio signal that encodes the background audio recording and an utterance, and (ii) duration data that indicates a duration of the background audio recording encoded in the audio signal. | 1. A system comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: applying a rule or a probabilistic model to state data that references a state of a mobile device and sensor data that is sensed by one or more sensors of the mobile device; inferring, based on applying the rule or the probabilistic model to the state data and the sensor data, that a user of the mobile device is likely to initiate voice input; commencing a background audio recording in response to inferring that the user is likely to initiate voice input; and transmitting (i) an audio signal that encodes the background audio recording and an utterance, and (ii) duration data that indicates a duration of the background audio recording encoded in the audio signal. 7. The system of claim 1 , wherein: applying the rule or the probabilistic model to the state data and the sensor data further comprises determining a score associated with the state data and the sensor data; and inferring that the user is likely to initiate voice input further comprises determining that the score associated with the state data and the sensor data satisfies a predefined threshold. | 0.750623 |
7,945,560 | 14 | 18 | 14. The non-transitory computer-readable storage medium of claim 12 , wherein: the GROUP BY clause in the outer query is a first GROUP BY clause that references one or more columns; the subquery includes a second GROUP BY clause that references one or more columns; the one or more columns referenced in the first GROUP BY clause includes the one or more columns referenced in the second GROUP BY clause; and instructions for generating the transformed query further comprises instructions for: creating a second inline view; wherein: the inline view is a first inline view; the first inline view is nested within the second inline view; the algebraic aggregate window function includes a partition-by clause that references the one or more columns references in the second GROUP BY clause; and the predicate in the outer query that references the first inline view also references the second inline view. | 14. The non-transitory computer-readable storage medium of claim 12 , wherein: the GROUP BY clause in the outer query is a first GROUP BY clause that references one or more columns; the subquery includes a second GROUP BY clause that references one or more columns; the one or more columns referenced in the first GROUP BY clause includes the one or more columns referenced in the second GROUP BY clause; and instructions for generating the transformed query further comprises instructions for: creating a second inline view; wherein: the inline view is a first inline view; the first inline view is nested within the second inline view; the algebraic aggregate window function includes a partition-by clause that references the one or more columns references in the second GROUP BY clause; and the predicate in the outer query that references the first inline view also references the second inline view. 18. The non-transitory computer-readable storage medium of claim 14 , wherein: the HAVING clause specifies that an ALL function be applied to the subquery; the second inline view includes a MAX function that references the algebraic aggregate window function; and the predicate in the outer query references an output of the MAX function. | 0.646444 |
9,396,171 | 1 | 5 | 1. A computer-implemented method for representing and generating XML data, the method comprising: receiving a sparse representation document failing to satisfy a predefined schema, the sparse representation document comprising a plurality of sparsely-encoded XML elements comprising valid XML code portions that are limited to defining attribute values without corresponding tags; parsing the sparse representation document according to a predefined set of XML parsing rules, wherein the parsing generates a XML document having a valid XML structure according to the predefined schema; responsive to encountering a first sparsely-encoded XML element among the plurality of sparsely-encoded XML elements during the parsing, applying a mapping function to the first sparsely-encoded XML element, wherein the mapping function maps the first sparsely-encoded XML element to a first nested location in the XML document; and responsive to encountering a second sparsely-encoded XML element among the plurality of sparsely-encoded XML elements during the parsing, applying the mapping function to the second sparsely-encoded XML element, wherein the mapping function utilizes a heuristic to map the second sparsely-encoded XML element to a second nested location in the XML document, and wherein the heuristic handles at least one mapping by selecting a most recently encountered element. | 1. A computer-implemented method for representing and generating XML data, the method comprising: receiving a sparse representation document failing to satisfy a predefined schema, the sparse representation document comprising a plurality of sparsely-encoded XML elements comprising valid XML code portions that are limited to defining attribute values without corresponding tags; parsing the sparse representation document according to a predefined set of XML parsing rules, wherein the parsing generates a XML document having a valid XML structure according to the predefined schema; responsive to encountering a first sparsely-encoded XML element among the plurality of sparsely-encoded XML elements during the parsing, applying a mapping function to the first sparsely-encoded XML element, wherein the mapping function maps the first sparsely-encoded XML element to a first nested location in the XML document; and responsive to encountering a second sparsely-encoded XML element among the plurality of sparsely-encoded XML elements during the parsing, applying the mapping function to the second sparsely-encoded XML element, wherein the mapping function utilizes a heuristic to map the second sparsely-encoded XML element to a second nested location in the XML document, and wherein the heuristic handles at least one mapping by selecting a most recently encountered element. 5. The method of claim 1 , wherein the mapping function uses a combination of elements to determine a unique nesting structure. | 0.736515 |
7,747,629 | 7 | 8 | 7. A method of generating an inverted index for a collection of multimedia documents, the method comprising: generating a positional representation of each multimedia document, at least one entry of the positional representation including a unique annotation and at least one occurrence position within its corresponding multimedia document, wherein times within a video clip of the corresponding multimedia document are derivable from the occurrence position; determining for each unique annotation among the generated positional representations, the positional representations that contain the annotation; and creating an entry in the inverted index for each unique annotation among the generated positional representations including the annotation and document identifiers of the multimedia documents of the positional representations that contain the annotation, wherein the method is executed by a processor. | 7. A method of generating an inverted index for a collection of multimedia documents, the method comprising: generating a positional representation of each multimedia document, at least one entry of the positional representation including a unique annotation and at least one occurrence position within its corresponding multimedia document, wherein times within a video clip of the corresponding multimedia document are derivable from the occurrence position; determining for each unique annotation among the generated positional representations, the positional representations that contain the annotation; and creating an entry in the inverted index for each unique annotation among the generated positional representations including the annotation and document identifiers of the multimedia documents of the positional representations that contain the annotation, wherein the method is executed by a processor. 8. The method of claim 7 , wherein at least one of the times is after the start of the video clip. | 0.819188 |
9,646,082 | 1 | 5 | 1. A system comprising: a server for receiving a query for legal information from a user via a client access device, the server including a processor and a memory; a primary search module adapted to receive the query from the server and for identifying a first set of documents from a first database using the query; a metadata research module adapted to identify metadata associated with one or more of the identified first set of documents by executing the query against a plurality of additional databases comprising at least a legal classification code database, a legal headnotes database, and a secondary legal documents database; the metadata research module further adapted to: responsive to the identified metadata, identify by the set of search engines a set of key classification codes associated with the metadata and the identified first set of documents; responsive to the metadata associated with one or more of the identified first set of documents and the identified set of key classification codes, automatically identify a second set of documents; responsive to identification of the second set of documents, rank the second set of documents; and a user interface module adapted to output a list of one or more of the ranked documents to the client access device. | 1. A system comprising: a server for receiving a query for legal information from a user via a client access device, the server including a processor and a memory; a primary search module adapted to receive the query from the server and for identifying a first set of documents from a first database using the query; a metadata research module adapted to identify metadata associated with one or more of the identified first set of documents by executing the query against a plurality of additional databases comprising at least a legal classification code database, a legal headnotes database, and a secondary legal documents database; the metadata research module further adapted to: responsive to the identified metadata, identify by the set of search engines a set of key classification codes associated with the metadata and the identified first set of documents; responsive to the metadata associated with one or more of the identified first set of documents and the identified set of key classification codes, automatically identify a second set of documents; responsive to identification of the second set of documents, rank the second set of documents; and a user interface module adapted to output a list of one or more of the ranked documents to the client access device. 5. The system of claim 1 , wherein the user interface module comprises a results interface is adapted to define a graphical user interface on the client access device, with the interface including a region for displaying the list, region for displaying related trial documents, and a region for displaying one or more legal classification identifiers. | 0.5 |
9,686,587 | 11 | 22 | 11. A video/audio playback apparatus, signally connected to at least one signal source, comprising: a receiving unit, signally connected to the at least one signal source, configured for receiving a first playback data and a second playback data; a control unit, configured for converting first character information in the first playback data into a first speech data; and a playback unit, configured for simultaneously playing the first speech data, and a second speech data corresponding to the second playback data, wherein the second speech data is not a translation result of the first speech data; wherein, the first speech data and the second speech data respectively correspond to a first playback language and a second playback language. | 11. A video/audio playback apparatus, signally connected to at least one signal source, comprising: a receiving unit, signally connected to the at least one signal source, configured for receiving a first playback data and a second playback data; a control unit, configured for converting first character information in the first playback data into a first speech data; and a playback unit, configured for simultaneously playing the first speech data, and a second speech data corresponding to the second playback data, wherein the second speech data is not a translation result of the first speech data; wherein, the first speech data and the second speech data respectively correspond to a first playback language and a second playback language. 22. The playback method according to claim 11 , wherein the first playback data is in a first text data format. | 0.821543 |
8,914,283 | 13 | 17 | 13. A computer-readable storage device having instructions stored which, when executed by a computing device, result in the computing device performing operations comprising: identifying, in a database of utterances, transcribed utterances and un-transcribed utterances; ordering transcription candidate utterances from the un-transcribed utterances based on confidence scores of the transcription candidate utterances, to yield a selectively sampled order; transcribing, via a processor, a top n utterances from the selectively sampled order, to yield additional transcribed utterances and remainder un-transcribed utterances, wherein the remainder un-transcribed utterances are the un-transcribed utterances without the additional transcribed utterances; receiving human-transcribed utterances, wherein the human-transcribed utterances are selected from the remainder un-transcribed utterances for human transcription based on the confidence scores; and adding the additional transcribed utterances and the human-transcribed utterances to the database of utterances. | 13. A computer-readable storage device having instructions stored which, when executed by a computing device, result in the computing device performing operations comprising: identifying, in a database of utterances, transcribed utterances and un-transcribed utterances; ordering transcription candidate utterances from the un-transcribed utterances based on confidence scores of the transcription candidate utterances, to yield a selectively sampled order; transcribing, via a processor, a top n utterances from the selectively sampled order, to yield additional transcribed utterances and remainder un-transcribed utterances, wherein the remainder un-transcribed utterances are the un-transcribed utterances without the additional transcribed utterances; receiving human-transcribed utterances, wherein the human-transcribed utterances are selected from the remainder un-transcribed utterances for human transcription based on the confidence scores; and adding the additional transcribed utterances and the human-transcribed utterances to the database of utterances. 17. The computer-readable storage device of claim 13 , having additional instruction stored which result in the operations further comprising continuing the identifying, the transcribing, and the adding until a word error rate has converged. | 0.590136 |
8,836,729 | 18 | 20 | 18. A computer program product, tangibly stored on a non-transitory computer-readable storage device, for reflowing a page, comprising instructions operable to cause a programmable processor to: receive a page represented in a page description language, the page including a plurality of page objects; and change at least one of i) a size of the page and ii) a size of the page objects, wherein changing includes: creating one or more new pages, creating a map containing positions of the page objects in the page, and adding to the map updated positions of the page objects in the one or more new pages to produce a relationship for each page object between the position of the page object in the page and the updated position of the page object in the one or more new pages, scaling the page objects to produce scaled page objects that include one or more scaled textual elements and one or more scaled graphical elements, adding a particular scaled graphical element to the one or more new pages based on updated positions of one or more particular scaled textual elements in the one or more new pages as listed in the map, wherein the particular scaled graphical element is anchored to the one or more particular scaled textual elements, and scaling the particular graphical element based on a difference between a distance between two particular textual elements in the page and a corresponding distance between the particular two textual elements in the one or more new pages. | 18. A computer program product, tangibly stored on a non-transitory computer-readable storage device, for reflowing a page, comprising instructions operable to cause a programmable processor to: receive a page represented in a page description language, the page including a plurality of page objects; and change at least one of i) a size of the page and ii) a size of the page objects, wherein changing includes: creating one or more new pages, creating a map containing positions of the page objects in the page, and adding to the map updated positions of the page objects in the one or more new pages to produce a relationship for each page object between the position of the page object in the page and the updated position of the page object in the one or more new pages, scaling the page objects to produce scaled page objects that include one or more scaled textual elements and one or more scaled graphical elements, adding a particular scaled graphical element to the one or more new pages based on updated positions of one or more particular scaled textual elements in the one or more new pages as listed in the map, wherein the particular scaled graphical element is anchored to the one or more particular scaled textual elements, and scaling the particular graphical element based on a difference between a distance between two particular textual elements in the page and a corresponding distance between the particular two textual elements in the one or more new pages. 20. The computer program product of claim 18 , wherein: the two particular textual elements in the page are words. | 0.604167 |
9,153,136 | 1 | 9 | 1. A method, implemented by a computational infrastructure, of providing a description of a flight intent of an aircraft to be flown on a flight expressed using a formal language, the method comprising: receiving at an input of the computational infrastructure information describing how the aircraft is to be flown including motion information that describes the motion of the aircraft and configuration information that describes an aerodynamic configuration of the aircraft, and storing the information in a database; dividing, by the computational infrastructure, the flight onto one or more flight segments having one or more constraints and one or more objectives, wherein the one or more flight segments represent an intent of changing an aircraft motion state from one state into another, the one or more constraints represent a restriction on a trajectory of the aircraft, and the one or more objectives represent a desire relating to the trajectory to maximize or minimize a certain function; for each flight segment following, by the computational infrastructure, a set of rules, using the computational infrastructure, that govern the creation of valid words using the flight segment, the one or more constraints for the flight segment, and the one or more objectives for the flight segment to express the flight intent using a formal language made up of the valid words which defines which degrees of freedom of motion of the aircraft are defined during the flight segment and which degrees of freedom of motion are not defined during the flight segment; for each flight segment following, by the computational infrastructure, a set of attributes, being an effect, an execution interval, and a flight segment code that govern the creation of the valid words, the effect comprising aircraft behavior exhibited during the flight segment represented by a composite, the execution interval defining an interval during which the flight segment is active defining an initial aircraft state and a final aircraft state, and the flight segment code comprising an alphanumeric string wherein each letter or number in the alphanumeric string represents one of the degrees of freedom of the motion of the aircraft; and transmitting the flight intent of the aircraft using the formal language to the aircraft, to another aircraft, or to an air traffic manager. | 1. A method, implemented by a computational infrastructure, of providing a description of a flight intent of an aircraft to be flown on a flight expressed using a formal language, the method comprising: receiving at an input of the computational infrastructure information describing how the aircraft is to be flown including motion information that describes the motion of the aircraft and configuration information that describes an aerodynamic configuration of the aircraft, and storing the information in a database; dividing, by the computational infrastructure, the flight onto one or more flight segments having one or more constraints and one or more objectives, wherein the one or more flight segments represent an intent of changing an aircraft motion state from one state into another, the one or more constraints represent a restriction on a trajectory of the aircraft, and the one or more objectives represent a desire relating to the trajectory to maximize or minimize a certain function; for each flight segment following, by the computational infrastructure, a set of rules, using the computational infrastructure, that govern the creation of valid words using the flight segment, the one or more constraints for the flight segment, and the one or more objectives for the flight segment to express the flight intent using a formal language made up of the valid words which defines which degrees of freedom of motion of the aircraft are defined during the flight segment and which degrees of freedom of motion are not defined during the flight segment; for each flight segment following, by the computational infrastructure, a set of attributes, being an effect, an execution interval, and a flight segment code that govern the creation of the valid words, the effect comprising aircraft behavior exhibited during the flight segment represented by a composite, the execution interval defining an interval during which the flight segment is active defining an initial aircraft state and a final aircraft state, and the flight segment code comprising an alphanumeric string wherein each letter or number in the alphanumeric string represents one of the degrees of freedom of the motion of the aircraft; and transmitting the flight intent of the aircraft using the formal language to the aircraft, to another aircraft, or to an air traffic manager. 9. The method of claim 1 , further comprising for each constraint following, by the computational infrastructure, the set of attributes, being the effect, a domain of application, and the execution interval, the effect comprising a mathematical expression defining an influence of the constraint on the motion of the aircraft, the domain of the application comprising the interval where the constraint is active and in which its effect is applied to the motion of the aircraft, and the execution interval indicating when the constraint is considered active in a trajectory prediction process. | 0.5 |
8,176,067 | 7 | 8 | 7. A computer-implemented method facilitating a search, comprising: under control of one or more computer systems configured with executable instructions, clustering search terms extracted from previous searches into a plurality of search term clusters independent of human supervision; identifying at least one search phrase comprising at least two search terms from a distinguished cluster of the plurality of search term clusters as having a relative high pointwise mutual information score with respect to search phrases of the distinguished cluster; determining at least one relevance score for said at least one search phrase with respect to a collection of content; and providing at least one result of the search for presentation, said at least one result at least referencing content selected from the collection of content based at least in part on said at least one relevance score. | 7. A computer-implemented method facilitating a search, comprising: under control of one or more computer systems configured with executable instructions, clustering search terms extracted from previous searches into a plurality of search term clusters independent of human supervision; identifying at least one search phrase comprising at least two search terms from a distinguished cluster of the plurality of search term clusters as having a relative high pointwise mutual information score with respect to search phrases of the distinguished cluster; determining at least one relevance score for said at least one search phrase with respect to a collection of content; and providing at least one result of the search for presentation, said at least one result at least referencing content selected from the collection of content based at least in part on said at least one relevance score. 8. A computer-implemented method according to claim 7 , wherein each search phrase comprises a plurality of words. | 0.78327 |
8,151,358 | 5 | 6 | 5. The method of claim 1 further comprising: enabling a second communication identity to authorize communication identities within a second group of multiple communication identities to access the digital item via the Internet; and enabling the multiple communication identities in the second group to access the digital item. | 5. The method of claim 1 further comprising: enabling a second communication identity to authorize communication identities within a second group of multiple communication identities to access the digital item via the Internet; and enabling the multiple communication identities in the second group to access the digital item. 6. The method of claim 5 wherein: a participant list includes participant identifiers selected by a user operating under the first communication identity, the participant list reflects on-line presence of users operating under communication identities of participant identifiers listed thereon, the participant list includes an indication of the second communication identity, and wherein enabling the second communication identity to authorize communication identities within the second group of multiple communication identities to access the digital item via the Internet further comprises: receiving, from the first communication identity, a user indication of the second communication identity that is selected form the participant identifiers listed on the participant list. | 0.5 |
9,064,001 | 1 | 4 | 1. A method of building a frequently-asked questions (FAQ) portal, the method comprising: in a processor of an electronic device: creating cluster labels, the cluster labels including predefined universal semantic labels and application-specific labels; applying the cluster labels to clusters of queries within an FAQ application; and adjusting the application-specific labels to support combined and newly created clusters of queries based on application-specific queries within the FAQ application on an ongoing basis and reapplying the universal semantic labels and the adjusted application-specific labels to the combined and newly created clusters of queries to enable automated clustering of queries and association with applicable answers to improve response time by the electronic device for providing a user with an answer to a query. | 1. A method of building a frequently-asked questions (FAQ) portal, the method comprising: in a processor of an electronic device: creating cluster labels, the cluster labels including predefined universal semantic labels and application-specific labels; applying the cluster labels to clusters of queries within an FAQ application; and adjusting the application-specific labels to support combined and newly created clusters of queries based on application-specific queries within the FAQ application on an ongoing basis and reapplying the universal semantic labels and the adjusted application-specific labels to the combined and newly created clusters of queries to enable automated clustering of queries and association with applicable answers to improve response time by the electronic device for providing a user with an answer to a query. 4. The method of claim 1 , further comprising creating one-to-many mappings from the universal semantic labels to the application-specific labels, the one-to-many mappings applying to clusters of queries for which the FAQ application is configured to issue at least one of multiple answers. | 0.5 |
9,116,976 | 7 | 12 | 7. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a search query from a user; obtaining a plurality of search results that satisfy the search query, wherein each search result identifies respective document of a plurality of documents; identifying a respective condition for each document of the plurality of documents, wherein each condition comprises one or more features of the user, the search query, and the document; obtaining a ranking model that produces a score for a particular document given a particular condition for the particular document, the score representing a likelihood that the user will select the particular document when identified by a search result provided in response to the search query, the ranking model being trained on training instances that each identify a first document selected by a particular user when the first document was identified in search results provided to the particular user in response to a particular search query; using the ranking model to compute a respective score for each document of the plurality of documents; and ranking the plurality of search results according to the respective computed score for each document of the plurality of documents. | 7. A computer program product, encoded on one or more non-transitory computer storage media, comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a search query from a user; obtaining a plurality of search results that satisfy the search query, wherein each search result identifies respective document of a plurality of documents; identifying a respective condition for each document of the plurality of documents, wherein each condition comprises one or more features of the user, the search query, and the document; obtaining a ranking model that produces a score for a particular document given a particular condition for the particular document, the score representing a likelihood that the user will select the particular document when identified by a search result provided in response to the search query, the ranking model being trained on training instances that each identify a first document selected by a particular user when the first document was identified in search results provided to the particular user in response to a particular search query; using the ranking model to compute a respective score for each document of the plurality of documents; and ranking the plurality of search results according to the respective computed score for each document of the plurality of documents. 12. The computer program product of claim 7 , wherein each training instance comprises data representing a number of documents ranked above the selected first document in the search results provided to the particular user in response to the particular search query. | 0.568404 |
8,712,850 | 32 | 47 | 32. A computer-implemented method comprising: receiving, using one or more processors, a request for content, wherein the content is of a form of an advertisement; identifying an eligible advertisement from an inventory of advertisements; receiving a creative associated with the eligible advertisement wherein the creative includes a title, at least one line of additional text and optionally a reference portion; determining a portion of text from the at least one line of additional text to promote into the title including a portion beginning with text at a beginning of a first of the at least one line of additional text, wherein determining includes evaluating the at least one line of additional text to identify the portion; promoting, using the one or more processors, the portion of text into the title; adjusting a remainder of the creative based on the promoted portion; and providing the advertisement responsive to the request including providing the creative including the title with the promoted portion. | 32. A computer-implemented method comprising: receiving, using one or more processors, a request for content, wherein the content is of a form of an advertisement; identifying an eligible advertisement from an inventory of advertisements; receiving a creative associated with the eligible advertisement wherein the creative includes a title, at least one line of additional text and optionally a reference portion; determining a portion of text from the at least one line of additional text to promote into the title including a portion beginning with text at a beginning of a first of the at least one line of additional text, wherein determining includes evaluating the at least one line of additional text to identify the portion; promoting, using the one or more processors, the portion of text into the title; adjusting a remainder of the creative based on the promoted portion; and providing the advertisement responsive to the request including providing the creative including the title with the promoted portion. 47. The method of claim 32 wherein providing includes storing the advertisement. | 0.870968 |
9,705,832 | 9 | 12 | 9. A method comprising: identifying, by use of a processor, a conversation supporting a plurality of message groupings, the conversation comprising a series of messages among two or more devices; tracking eye movement; determining a viewing location based on the eye movement; identifying a topic of a message in the conversation, wherein determining the topic is based on the onscreen content; determining whether the identified topic belongs to a message grouping of the conversation; associating the message with the message grouping in response to determining that the message belongs to the message grouping; creating a new message grouping in the conversation in response to determining that the message does not belong to an existing message grouping of the conversation; and visually distinguishing the conversation threads within the conversation. | 9. A method comprising: identifying, by use of a processor, a conversation supporting a plurality of message groupings, the conversation comprising a series of messages among two or more devices; tracking eye movement; determining a viewing location based on the eye movement; identifying a topic of a message in the conversation, wherein determining the topic is based on the onscreen content; determining whether the identified topic belongs to a message grouping of the conversation; associating the message with the message grouping in response to determining that the message belongs to the message grouping; creating a new message grouping in the conversation in response to determining that the message does not belong to an existing message grouping of the conversation; and visually distinguishing the conversation threads within the conversation. 12. The method of claim 9 , further comprising creating a context stack for the conversation, the context stack comprising context associated with each message of the conversation, wherein determining whether the identified topic belongs to a message grouping comprises searching the context stack for context matching the identified topic. | 0.5 |
8,041,694 | 5 | 7 | 5. The method of claim 1 in which each vector represents a corresponding user in a community, and each feature of each vector represents a preference of the corresponding user towards an object in a set of objects. | 5. The method of claim 1 in which each vector represents a corresponding user in a community, and each feature of each vector represents a preference of the corresponding user towards an object in a set of objects. 7. The method of claim 5 , in which the set of objects includes at least one of a set of musical works or a set of dramatic works. | 0.503817 |
7,996,394 | 5 | 8 | 5. A computer program product, comprising a computer usable storage medium having a computer readable program code embodied therein, said computer readable program code containing instructions that when executed by a processor of a computer system implement a method for searching a service registry system with a service name, the method comprising: receiving a request to locate, in a registry of the service registry system, a service description that corresponds to the service name specified in the request, wherein the registry comprises at least one service description searchable by a respective service identifier; subsequent to said receiving, determining that the service name specified in the request does not match any service identifier discovered in the registry; subsequent to said determining, parsing the service name into at least one component word; subsequent to said parsing, producing a respective synonym list for each component word of said at least one component word from a dictionary database of the service registry system, wherein the dictionary database comprises at least one record, wherein each record of said at least one record comprises a respective primary key and zero or more synonym of the primary key, wherein said producing comprising: composing a first database query that retrieves a first record from the dictionary database, wherein a primary key of the first record matches a first component word of said at least one component word; executing said composed first database query against the dictionary database; and storing the first record acquired as a result of said executing to a first synonym list corresponding to the first component word of the service name; subsequent to said producing, generating at least one candidate service name with said respective synonym list for each component word; subsequent to said generating, concluding that a first candidate service name of said at least one candidate service name is located in the registry by finding a first service identifier in the registry that is identical to the first candidate service name; and subsequent to said concluding, sending a first service description that corresponds to the first service identifier in the registry to an output device of the computer system upon which the service registry system operates. | 5. A computer program product, comprising a computer usable storage medium having a computer readable program code embodied therein, said computer readable program code containing instructions that when executed by a processor of a computer system implement a method for searching a service registry system with a service name, the method comprising: receiving a request to locate, in a registry of the service registry system, a service description that corresponds to the service name specified in the request, wherein the registry comprises at least one service description searchable by a respective service identifier; subsequent to said receiving, determining that the service name specified in the request does not match any service identifier discovered in the registry; subsequent to said determining, parsing the service name into at least one component word; subsequent to said parsing, producing a respective synonym list for each component word of said at least one component word from a dictionary database of the service registry system, wherein the dictionary database comprises at least one record, wherein each record of said at least one record comprises a respective primary key and zero or more synonym of the primary key, wherein said producing comprising: composing a first database query that retrieves a first record from the dictionary database, wherein a primary key of the first record matches a first component word of said at least one component word; executing said composed first database query against the dictionary database; and storing the first record acquired as a result of said executing to a first synonym list corresponding to the first component word of the service name; subsequent to said producing, generating at least one candidate service name with said respective synonym list for each component word; subsequent to said generating, concluding that a first candidate service name of said at least one candidate service name is located in the registry by finding a first service identifier in the registry that is identical to the first candidate service name; and subsequent to said concluding, sending a first service description that corresponds to the first service identifier in the registry to an output device of the computer system upon which the service registry system operates. 8. The computer program product of claim 5 , the method further comprising: repeating said concluding and said sending for each candidate service name of said at least one candidate service name from said generating. | 0.780488 |
7,873,631 | 1 | 5 | 1. A computer-readable storage medium containing a program, which when executed on a computer system performs an operation for providing access to physical data in a physical database, comprising: (i) providing a physical data field layer that provides a plurality of physical data fields, wherein each physical data field specifies a mapping from the physical data field to a data location in the physical database; (ii) providing a logical field layer that includes a plurality of logical field definitions, each of the definitions comprising a logical field name and a reference to an access method that defines a manner of exposing specified data specified data for the logical field definition, wherein each physical data field, of the plurality of physical data fields, is initially generated based on one of the logical field definitions included in the logical field layer by: identifying the access method defined for a particular logical field definition, generating a corresponding physical data field that maps to a data location of the specified data, and redefining the access method for the particular logical field definition to expose data retrieved from the corresponding physical data field; and (iii) providing an interface to the plurality of logical field definitions, wherein the interface presents a user with an interface for composing an abstract query from the logical field definitions. | 1. A computer-readable storage medium containing a program, which when executed on a computer system performs an operation for providing access to physical data in a physical database, comprising: (i) providing a physical data field layer that provides a plurality of physical data fields, wherein each physical data field specifies a mapping from the physical data field to a data location in the physical database; (ii) providing a logical field layer that includes a plurality of logical field definitions, each of the definitions comprising a logical field name and a reference to an access method that defines a manner of exposing specified data specified data for the logical field definition, wherein each physical data field, of the plurality of physical data fields, is initially generated based on one of the logical field definitions included in the logical field layer by: identifying the access method defined for a particular logical field definition, generating a corresponding physical data field that maps to a data location of the specified data, and redefining the access method for the particular logical field definition to expose data retrieved from the corresponding physical data field; and (iii) providing an interface to the plurality of logical field definitions, wherein the interface presents a user with an interface for composing an abstract query from the logical field definitions. 5. The computer-readable storage medium of claim 1 , wherein the access method defined for each of the plurality of logical fields is selected from at least two different access method types, and wherein each different access method type defines a different manner of exposing the physical data corresponding to a logical field. | 0.55914 |
7,954,115 | 11 | 12 | 11. The system of claim 8 , wherein said instructions are further configured for: providing a server accessible by said management module for the management of said network-based community portal and said mashup platform. | 11. The system of claim 8 , wherein said instructions are further configured for: providing a server accessible by said management module for the management of said network-based community portal and said mashup platform. 12. The system of claim 11 wherein said server comprises a widget server. | 0.5 |
9,195,952 | 1 | 15 | 1. A computer-implemented method of designing business process controls utilizing a contextual mapping engine, the computer-implemented method comprising: receiving, in a computer system, a plurality of statements relating to one or more business process controls, each statement, in the plurality of statements, comprising at least one token; storing the plurality of statements in a repository of the computer system; comparing, using the contextual mapping engine in the computer system, a first statement of the plurality of statements with a second statement of the plurality of statements; generating, using the contextual mapping engine in the computer system, a matching score between the first statement and the second statement, the matching score being based on a total amount of unique tokens between the first statement and the second statement; removing the second statement of the plurality of statements from the repository if the matching score is above a particular threshold; generating a chart including a plurality of bubbles, generating the chart including: connecting a first bubble, of the plurality of bubbles, to a second bubble, of the plurality of bubbles, when the matching score is above the particular threshold, where a size of each bubble, of the plurality of bubbles, is based on a number of parameters relating to a particular business process control of the one or more business process controls; providing the chart, including the first bubble connected to the second bubble, for display to a user device; receiving, from the user device, a selection of a bubble of the plurality of bubbles; and providing, for display, information relating to the selected bubble, the information including parameters relating to a business process control of the one or more business process controls. | 1. A computer-implemented method of designing business process controls utilizing a contextual mapping engine, the computer-implemented method comprising: receiving, in a computer system, a plurality of statements relating to one or more business process controls, each statement, in the plurality of statements, comprising at least one token; storing the plurality of statements in a repository of the computer system; comparing, using the contextual mapping engine in the computer system, a first statement of the plurality of statements with a second statement of the plurality of statements; generating, using the contextual mapping engine in the computer system, a matching score between the first statement and the second statement, the matching score being based on a total amount of unique tokens between the first statement and the second statement; removing the second statement of the plurality of statements from the repository if the matching score is above a particular threshold; generating a chart including a plurality of bubbles, generating the chart including: connecting a first bubble, of the plurality of bubbles, to a second bubble, of the plurality of bubbles, when the matching score is above the particular threshold, where a size of each bubble, of the plurality of bubbles, is based on a number of parameters relating to a particular business process control of the one or more business process controls; providing the chart, including the first bubble connected to the second bubble, for display to a user device; receiving, from the user device, a selection of a bubble of the plurality of bubbles; and providing, for display, information relating to the selected bubble, the information including parameters relating to a business process control of the one or more business process controls. 15. The method of claim 1 , where each token comprises a block of text or a word. | 0.937692 |
8,650,089 | 15 | 17 | 15. A non-transitory computer-readable medium for providing dynamic content in a static electronic document that stores logic for causing a remote computing device to perform at least the following: create the static electronic document of a publication, wherein the publication comprises a replica of a paper-based printed publication, wherein the static electronic document is configured to be displayed with the same look and feel as the printed publication, and wherein the static electronic document functions as a locally stored software application; receive an indication to include the dynamic content into the static electronic document; create a computer program that defines functionality of the dynamic content; deploy the computer program into the static electronic document, wherein the computer program is linked to a remote file that contains the dynamic content; send the static electronic document to a user computing device, wherein at least a first portion of the static electronic document is configured to be viewed as a locally stored document and at least a second portion of the static electronic document receives the dynamic content from the remote computing device, wherein the static electronic document comprises a pointer that causes the user computing device to utilize the computer program for retrieving the dynamic content from the remote computing device; receive a request to provide the dynamic content, the request being provided in response to a user selection of a predetermined area of interest in the static electronic document; provide the dynamic content to the user computing device, wherein upon receipt of the dynamic content, the computer program causes the dynamic content to be provided within the predetermined area of interest in the static electronic document, wherein the dynamic content comprises an option to place an order; receiving a user selection of the option to purchase a product, wherein the user selection is performed via an interaction with the dynamic content within the static electronic document; and processing the user selection within the static electronic document to purchase the product with a vendor that is associated with the dynamic content. | 15. A non-transitory computer-readable medium for providing dynamic content in a static electronic document that stores logic for causing a remote computing device to perform at least the following: create the static electronic document of a publication, wherein the publication comprises a replica of a paper-based printed publication, wherein the static electronic document is configured to be displayed with the same look and feel as the printed publication, and wherein the static electronic document functions as a locally stored software application; receive an indication to include the dynamic content into the static electronic document; create a computer program that defines functionality of the dynamic content; deploy the computer program into the static electronic document, wherein the computer program is linked to a remote file that contains the dynamic content; send the static electronic document to a user computing device, wherein at least a first portion of the static electronic document is configured to be viewed as a locally stored document and at least a second portion of the static electronic document receives the dynamic content from the remote computing device, wherein the static electronic document comprises a pointer that causes the user computing device to utilize the computer program for retrieving the dynamic content from the remote computing device; receive a request to provide the dynamic content, the request being provided in response to a user selection of a predetermined area of interest in the static electronic document; provide the dynamic content to the user computing device, wherein upon receipt of the dynamic content, the computer program causes the dynamic content to be provided within the predetermined area of interest in the static electronic document, wherein the dynamic content comprises an option to place an order; receiving a user selection of the option to purchase a product, wherein the user selection is performed via an interaction with the dynamic content within the static electronic document; and processing the user selection within the static electronic document to purchase the product with a vendor that is associated with the dynamic content. 17. The non-transitory computer-readable medium of claim 15 , wherein in response to selection of the purchase option, purchase of the product is facilitated within the static electronic document, and wherein facilitating purchase of the product within the static electronic document comprises at least one of the following: providing interface data retrieved from a vendor within the static electronic document, providing a product purchase interface, receiving payment authorization from a user, and providing payment to the vendor, and providing a product purchase interface, which includes a payment option for the user to submit the payment to a third party payment mechanism. | 0.5 |
10,142,708 | 18 | 20 | 18. A content delivery platform system, comprising: at least one processor-based component; and at least one nontransitory processor-readable medium communicatively coupled to the at least one processor-based component and which stores at least one of data or processor-executable instructions, that when executed by the at least one processor-based component, cause the at least one processor-based component to: for each presentation of each of a plurality of narratives to a user, an entirety each narrative comprised of a set of a plurality of narrative segments, at least two of the narrative segments of each of the narratives having a distinct temporal order within a time sequence of events of the respective narrative: cause a successive presentation of ones of the narrative segments of the respective narrative to the user; and prevent the presentation of entirety of the respective narrative to the user before all of the narrative segments of the respective narrative have been presented to the user at least until an occurrence of at least one social media sharing action. | 18. A content delivery platform system, comprising: at least one processor-based component; and at least one nontransitory processor-readable medium communicatively coupled to the at least one processor-based component and which stores at least one of data or processor-executable instructions, that when executed by the at least one processor-based component, cause the at least one processor-based component to: for each presentation of each of a plurality of narratives to a user, an entirety each narrative comprised of a set of a plurality of narrative segments, at least two of the narrative segments of each of the narratives having a distinct temporal order within a time sequence of events of the respective narrative: cause a successive presentation of ones of the narrative segments of the respective narrative to the user; and prevent the presentation of entirety of the respective narrative to the user before all of the narrative segments of the respective narrative have been presented to the user at least until an occurrence of at least one social media sharing action. 20. The system of claim 18 , where in the processor-executable instructions further cause the at least one processor-based component to: identify at least one candidate for the user to share with based at least in part on the narrative path graph specific to the user and the respective narrative. | 0.799324 |
9,798,748 | 14 | 15 | 14. The system of claim 1 wherein the database schema includes a plurality of database objects of a database. | 14. The system of claim 1 wherein the database schema includes a plurality of database objects of a database. 15. The system of claim 14 wherein the database objects include tables having one or more columns for storing the data. | 0.535156 |
7,644,047 | 3 | 5 | 3. An information retrieval apparatus for use in retrieving information from a set of one or more documents, comprising: an input for receiving a search query; generating means for generating a set of probabilities indicative of the semantic similarity of words selected from said set of one or more documents; query enhancement means for modifying a received search query with reference, in use, to said generated set of probabilities; and information retrieval means for searching said set of one or more documents for relevant information using a received search query modified by said query enhancement means, wherein said generating means are arranged, in use: (i) for each word selected from said set of one or more documents: (a) to identify, in documents of said set of one or more documents, word sequences comprising the word and a predetermined number of other words; (b) to calculate a relative frequency of occurrence for each distinct word sequence among word sequences containing the word; and (c) to generate a fuzzy set comprising, for groups of word sequences containing the word, corresponding fuzzy membership values calculated from the relative frequencies determined at step (b); and (ii) to calculate, for each pair of words of said plurality of words, using respective fuzzy sets generated at step (i), a probability that the first word of the pair is semantically suitable as a replacement for the second word of the pair. | 3. An information retrieval apparatus for use in retrieving information from a set of one or more documents, comprising: an input for receiving a search query; generating means for generating a set of probabilities indicative of the semantic similarity of words selected from said set of one or more documents; query enhancement means for modifying a received search query with reference, in use, to said generated set of probabilities; and information retrieval means for searching said set of one or more documents for relevant information using a received search query modified by said query enhancement means, wherein said generating means are arranged, in use: (i) for each word selected from said set of one or more documents: (a) to identify, in documents of said set of one or more documents, word sequences comprising the word and a predetermined number of other words; (b) to calculate a relative frequency of occurrence for each distinct word sequence among word sequences containing the word; and (c) to generate a fuzzy set comprising, for groups of word sequences containing the word, corresponding fuzzy membership values calculated from the relative frequencies determined at step (b); and (ii) to calculate, for each pair of words of said plurality of words, using respective fuzzy sets generated at step (i), a probability that the first word of the pair is semantically suitable as a replacement for the second word of the pair. 5. An information retrieval apparatus according to claim 3 , further comprising updating means for adding a new document to said set of one or more documents and, using a set of words selected from said new document and word sequences identified in said new document, performing an incremental update to said generated set of probabilities in respect of words in said set of words. | 0.5 |
9,204,107 | 2 | 3 | 2. The apparatus of claim 1 , wherein the content analysis engine comprises: a gross change detector to analyze the video input and to determine if a gross change event has occurred. | 2. The apparatus of claim 1 , wherein the content analysis engine comprises: a gross change detector to analyze the video input and to determine if a gross change event has occurred. 3. The apparatus of claim 2 , wherein the gross change detector performs: determining one or more bad frames in the video input; computing a number of consecutively determined bad frames; and generating a gross change event if the number of consecutively determined bad frames is greater than a threshold. | 0.664835 |
9,444,907 | 15 | 28 | 15. A computer-implemented method comprising: obtaining keywords from user profiles of a group of users of a social networking system who previously responded to an invitation; extracting a set of keywords from a subject user profile of a subject user of a social networking system; comparing the set of keywords to the keywords from the user profiles of the group of users of the social networking system who previously responded to the invitation; and predicting a response to the invitation by the subject user based on the comparison. | 15. A computer-implemented method comprising: obtaining keywords from user profiles of a group of users of a social networking system who previously responded to an invitation; extracting a set of keywords from a subject user profile of a subject user of a social networking system; comparing the set of keywords to the keywords from the user profiles of the group of users of the social networking system who previously responded to the invitation; and predicting a response to the invitation by the subject user based on the comparison. 28. The method of claim 15 , further comprising: responsive to predicting the response to the invitation is a positive response, sending the invitation to the subject user. | 0.888601 |
7,756,906 | 1 | 10 | 1. A method for sharing one or more token vocabularies among a plurality of separate database systems, the method comprising: storing the one or more token vocabularies in a repository, wherein: each token vocabulary of the one or more token vocabularies corresponds to an XML schema; each token vocabulary of the one or more token vocabularies defines a plurality of associations between XML elements and replacement values; the repository is accessible to the plurality of separate database systems; and each database system, of the plurality of separate database systems, comprises one or more database servers that are designated to managing one or more databases; receiving, from a first database server of a first database system of the plurality of separate database systems, a first request for a token vocabulary; in response to the first request, retrieving a first token vocabulary, of the one or more token vocabularies, from the repository; sending the first token vocabulary to the first database server; receiving, from a second database server of a second database system of the plurality of separate database systems, a second request for a token vocabulary, wherein the second database system is different than the first database system; in response to the second request, retrieving a second token vocabulary, of the one or more token vocabularies, from the repository; and sending the second token vocabulary to the second database server. | 1. A method for sharing one or more token vocabularies among a plurality of separate database systems, the method comprising: storing the one or more token vocabularies in a repository, wherein: each token vocabulary of the one or more token vocabularies corresponds to an XML schema; each token vocabulary of the one or more token vocabularies defines a plurality of associations between XML elements and replacement values; the repository is accessible to the plurality of separate database systems; and each database system, of the plurality of separate database systems, comprises one or more database servers that are designated to managing one or more databases; receiving, from a first database server of a first database system of the plurality of separate database systems, a first request for a token vocabulary; in response to the first request, retrieving a first token vocabulary, of the one or more token vocabularies, from the repository; sending the first token vocabulary to the first database server; receiving, from a second database server of a second database system of the plurality of separate database systems, a second request for a token vocabulary, wherein the second database system is different than the first database system; in response to the second request, retrieving a second token vocabulary, of the one or more token vocabularies, from the repository; and sending the second token vocabulary to the second database server. 10. The method of claim 1 , wherein: the one or more token vocabularies is a plurality of token vocabularies; each token vocabulary of the plurality of token vocabularies corresponds to an XML schema that is different than each other XML schema that corresponds to any other token vocabulary of the plurality of token vocabularies; and the first token vocabulary is different than the second token vocabulary. | 0.5 |
8,725,721 | 18 | 19 | 18. The non-transitory computer readable system of claim 17 , wherein the computer instructions further comprise actions of periodically updating the object types access history with the counts. | 18. The non-transitory computer readable system of claim 17 , wherein the computer instructions further comprise actions of periodically updating the object types access history with the counts. 19. The non-transitory computer readable medium of claim 18 , wherein the periodically updating is performed on at least a weekly basis. | 0.5 |
8,818,929 | 9 | 10 | 9. A system allowing merging of information of high semantic level representing complex situations comprising several objects or data originating from several sensors, the system comprising: several sensors configured to observe information and inputs; a knowledge base comprising elements characteristic of a merging application and configured for application of a merging strategy; an information base storing all of the information or data arising from the several sensors; a processor configured to: acquire the information or data arising from the several sensors in raw form and transform the several items of information or data to cast the several items of information or data into a form of conceptual graphs, a conceptual graph representing several concepts and relations which exist between the several concepts, a conceptual graph comprising several entity nodes and relation nodes, with a set of concept nodes E defined on a support S, two conceptual graphs G 1 and G 2 defined on the support S, and the two conceptual graphs G 1 and G 2 being stored in a database; define a knowledge base containing information or data specific to a sector of an application of data merging and rules applied in said sector of the application, and transform said information or data specific to the sector of the application to present said information or data specific to the sector of the application in a form of conceptual graphs; determine a merging strategy denoted strategy merge as follows: strategy merge =f merge ◯f comp :E×E→E∪{E×E}, where f merge :{true, false}×E×E→E∪{E×E} is a merge function for merging concept nodes of graphs, and f comp : E×E{true, false} ×E×E is a function for testing compatibility between two concept nodes of the graphs; apply the merging strategy to the information or data arising from the knowledge base and from an observation base taking the form of graphs to produce merged data; and at least one output configured to record or display results arising from the merging of the information or data, wherein: the two conceptual graphs G 1 and G 2 have a common generalization H, and projections P 1 :H→G 1 and P 2 :H→G 2 , P 1 and P 2 are compatible according to the function f comp if, for each concept c of the graph H, the following conditions are complied with: P 1 (c) and P 2 (c) have a common sub-type different from an absurd type, referents or components of P 1 (c) and P 2 f c) conform to their most general common sub-type, and the referents of P 1 (c) and P 2 (c) are either equal, or one of the two is undefined, or f comp (P 1 (c), P 2 (c))=(true, P 1 (c), P 2 (c)). | 9. A system allowing merging of information of high semantic level representing complex situations comprising several objects or data originating from several sensors, the system comprising: several sensors configured to observe information and inputs; a knowledge base comprising elements characteristic of a merging application and configured for application of a merging strategy; an information base storing all of the information or data arising from the several sensors; a processor configured to: acquire the information or data arising from the several sensors in raw form and transform the several items of information or data to cast the several items of information or data into a form of conceptual graphs, a conceptual graph representing several concepts and relations which exist between the several concepts, a conceptual graph comprising several entity nodes and relation nodes, with a set of concept nodes E defined on a support S, two conceptual graphs G 1 and G 2 defined on the support S, and the two conceptual graphs G 1 and G 2 being stored in a database; define a knowledge base containing information or data specific to a sector of an application of data merging and rules applied in said sector of the application, and transform said information or data specific to the sector of the application to present said information or data specific to the sector of the application in a form of conceptual graphs; determine a merging strategy denoted strategy merge as follows: strategy merge =f merge ◯f comp :E×E→E∪{E×E}, where f merge :{true, false}×E×E→E∪{E×E} is a merge function for merging concept nodes of graphs, and f comp : E×E{true, false} ×E×E is a function for testing compatibility between two concept nodes of the graphs; apply the merging strategy to the information or data arising from the knowledge base and from an observation base taking the form of graphs to produce merged data; and at least one output configured to record or display results arising from the merging of the information or data, wherein: the two conceptual graphs G 1 and G 2 have a common generalization H, and projections P 1 :H→G 1 and P 2 :H→G 2 , P 1 and P 2 are compatible according to the function f comp if, for each concept c of the graph H, the following conditions are complied with: P 1 (c) and P 2 (c) have a common sub-type different from an absurd type, referents or components of P 1 (c) and P 2 f c) conform to their most general common sub-type, and the referents of P 1 (c) and P 2 (c) are either equal, or one of the two is undefined, or f comp (P 1 (c), P 2 (c))=(true, P 1 (c), P 2 (c)). 10. The system according to claim 9 , wherein said merging system is in communication with a recording device for recording TV programs, and wherein said system further comprises two sources of information which provide data processed to associate a conceptual graph with each, information arising from each conceptual graph being merged by taking account of user preferences present in the knowledge base, the knowledge base comprising a module configured to associate a TV transmission with a category, and a module configured to transmit a representative signal or a control signal to said recording device. | 0.5 |
8,402,030 | 14 | 15 | 14. A system comprising: a computer processor configured for: receiving a first document and a second document, the second document comprising a count of words less than or equal to a count of words in the first document; generating a frequency distribution for the words in the first document and a frequency distribution for the words in the second document; determining an intersection of the first document and the second document, the intersection comprising a set of words that appear in both the first document and the second document; for each word in the intersection, comparing the frequency of the word in the first document with the frequency of the word in the second document; for each word in the intersection, selecting the lower frequency between the frequency of the word in the first document and the frequency of the word in the second document; and determining a similarity measure between the first document and the second document as a function of a count of the words in the intersection, a count of the words in the second document, the selected lower frequencies, and the frequency distribution for the words in the second document; comprising a computer processor configured for: (a) computing a first ratio of the count of words in the intersection to the count of words in the second document, and multiplying the first ratio by a count weight; (b) computing a first sum of the lower frequencies, computing a second sum of the frequency distribution of the second document, computing a second ratio of the first sum to the second sum, and multiplying the second ratio by a word score weight; (c) computing a resultant sum of step (a) and step (b); and (d) dividing the resultant sum by a sum of the count weight and the word score weight. | 14. A system comprising: a computer processor configured for: receiving a first document and a second document, the second document comprising a count of words less than or equal to a count of words in the first document; generating a frequency distribution for the words in the first document and a frequency distribution for the words in the second document; determining an intersection of the first document and the second document, the intersection comprising a set of words that appear in both the first document and the second document; for each word in the intersection, comparing the frequency of the word in the first document with the frequency of the word in the second document; for each word in the intersection, selecting the lower frequency between the frequency of the word in the first document and the frequency of the word in the second document; and determining a similarity measure between the first document and the second document as a function of a count of the words in the intersection, a count of the words in the second document, the selected lower frequencies, and the frequency distribution for the words in the second document; comprising a computer processor configured for: (a) computing a first ratio of the count of words in the intersection to the count of words in the second document, and multiplying the first ratio by a count weight; (b) computing a first sum of the lower frequencies, computing a second sum of the frequency distribution of the second document, computing a second ratio of the first sum to the second sum, and multiplying the second ratio by a word score weight; (c) computing a resultant sum of step (a) and step (b); and (d) dividing the resultant sum by a sum of the count weight and the word score weight. 15. The system of claim 14 , comprising a computer processor configured for comparing a word in the intersection against a file of words, and removing the word from the intersection when the word appears in the file of words. | 0.6875 |
9,966,075 | 1 | 35 | 1. A method for using augmented reality devices, the method comprising: capturing, by a first augmented reality device, speech spoken by a person while the person is in a real-world scene within a field of view of a user of the first augmented reality device, the first augmented reality device comprising a first head-mounted display worn by the user; determining who, in the real-world scene, spoke the speech by tracking the speech and recognizing the face of the person by the first augmented reality device; generating an indication of the person that spoke the speech based on the determination of who spoke the speech; determining, by the first augmented reality device, a second augmented reality device to receive text corresponding to the speech, the second augmented reality device comprising a second head-mounted display; and transmitting, by the first augmented reality device, the text corresponding to the speech and the indication of the person that spoke the speech to the second augmented reality device. | 1. A method for using augmented reality devices, the method comprising: capturing, by a first augmented reality device, speech spoken by a person while the person is in a real-world scene within a field of view of a user of the first augmented reality device, the first augmented reality device comprising a first head-mounted display worn by the user; determining who, in the real-world scene, spoke the speech by tracking the speech and recognizing the face of the person by the first augmented reality device; generating an indication of the person that spoke the speech based on the determination of who spoke the speech; determining, by the first augmented reality device, a second augmented reality device to receive text corresponding to the speech, the second augmented reality device comprising a second head-mounted display; and transmitting, by the first augmented reality device, the text corresponding to the speech and the indication of the person that spoke the speech to the second augmented reality device. 35. The method for using augmented reality devices of claim 1 , further comprising locating, by the first augmented reality device, the person that spoke the speech within the real-world scene. | 0.874512 |
4,491,965 | 1 | 2 | 1. A character recognition apparatus comprising: segmenting means for segmenting a set of input characters into single characters; pre-process converting means connected to said segmenting means, for providing a predetermined conversion for each of the single characters so as to allow easy subsequent recognition operations; original feature extracting means connected to said segmenting means, for extracting as an original feature at least one feature among features of each of the single characters which is deliberately neglected by said pre-process converting means; recognizing means connected to said pre-process converting means, for prestoring a reference recognition feature and an answer corresponding thereto, for extracting a recognition feature from each of the single characters which is converted by said pre-process converting means, for comparing the recognition feature with the reference recognition feature, and for determining an answer for each of the single characters; memory means connected to said recognizing means and said original feature extracting means for storing for each of the single characters the answer determined by said recognizing means and the corresponding original feature extracted by said original feature extracting means; and compiling means connected to said memory means for reading out the original features corresponding to characters which have the same value among the answers stored in said memory means after the storing of answers and corresponding original features for each of said characters and for rejecting the characters corresponding to the original features which exceed a predetermined allowable value to determine final answers for the set of characters. | 1. A character recognition apparatus comprising: segmenting means for segmenting a set of input characters into single characters; pre-process converting means connected to said segmenting means, for providing a predetermined conversion for each of the single characters so as to allow easy subsequent recognition operations; original feature extracting means connected to said segmenting means, for extracting as an original feature at least one feature among features of each of the single characters which is deliberately neglected by said pre-process converting means; recognizing means connected to said pre-process converting means, for prestoring a reference recognition feature and an answer corresponding thereto, for extracting a recognition feature from each of the single characters which is converted by said pre-process converting means, for comparing the recognition feature with the reference recognition feature, and for determining an answer for each of the single characters; memory means connected to said recognizing means and said original feature extracting means for storing for each of the single characters the answer determined by said recognizing means and the corresponding original feature extracted by said original feature extracting means; and compiling means connected to said memory means for reading out the original features corresponding to characters which have the same value among the answers stored in said memory means after the storing of answers and corresponding original features for each of said characters and for rejecting the characters corresponding to the original features which exceed a predetermined allowable value to determine final answers for the set of characters. 2. An apparatus according to claim 1, wherein said compiling means compares a predetermined reference feature with each of the original features of the characters corresponding to the identical answers obtained by said recognizing means to detect a difference therebetween and rejects the characters corresponding to a difference which exceeds the predetermined allowable value, thereby determining the final answers for the set of characters. | 0.5 |
8,364,670 | 1 | 44 | 1. A method for electronically searching for an item, the method comprising the steps of: providing a search index comprising a set of predefined categories, wherein each predefined category is defined by a taxonomy of attributes comprising a set of predefined attributes, wherein each predefined attribute is defined by at least one question and one or more answers to each question; receiving a search request for the item from a user, wherein the search request comprises a requested category for the item selected from the set of predefined item categories, and one or more requested attributes of the item selected from the set of predefined attributes by providing at least one of the answers to at least one of the questions defining the requested attribute of the item; storing the search request for the item in the search index based on the requested category for the item and the requested attribute(s) of the item; searching the search index for any previously stored search requests from other users that match the requested category and the requested attribute(s); determining a result of the search; sending a search response comprising the result of the search; persistently searching the search index for the item by monitoring the search index for a trigger event until the search request is terminated; whenever the trigger event is detected, searching the search index for any stored search results that match the requested category and the requested attributes, and determining a new result of the search; whenever the new result differs from the result, sending an updated search response comprising the new result of the search; determining a relevancy score for each found stored search request; wherein the step of determining the relevancy score for each found stored result comprises the step of summing the relevancy scores for each requested attribute in the search request divided by the number of requested attributes in the search request; and wherein the relevancy score for each requested attribute comprises a first value whenever the requested attribute is not specified in the stored search request, a second value whenever the requested attribute matches the attribute of the stored search request and the requested attribute is Must Have, a third value whenever the requested attribute that matches the attribute of the stored search request and the requested attribute is not Must Have, a fourth value whenever the requested attribute that does not match the attribute of the stored search request and the requested attribute is Must Have, and a fifth value whenever the requested attribute does not match the attribute of the stored search request and the requested attribute is not Must Have. | 1. A method for electronically searching for an item, the method comprising the steps of: providing a search index comprising a set of predefined categories, wherein each predefined category is defined by a taxonomy of attributes comprising a set of predefined attributes, wherein each predefined attribute is defined by at least one question and one or more answers to each question; receiving a search request for the item from a user, wherein the search request comprises a requested category for the item selected from the set of predefined item categories, and one or more requested attributes of the item selected from the set of predefined attributes by providing at least one of the answers to at least one of the questions defining the requested attribute of the item; storing the search request for the item in the search index based on the requested category for the item and the requested attribute(s) of the item; searching the search index for any previously stored search requests from other users that match the requested category and the requested attribute(s); determining a result of the search; sending a search response comprising the result of the search; persistently searching the search index for the item by monitoring the search index for a trigger event until the search request is terminated; whenever the trigger event is detected, searching the search index for any stored search results that match the requested category and the requested attributes, and determining a new result of the search; whenever the new result differs from the result, sending an updated search response comprising the new result of the search; determining a relevancy score for each found stored search request; wherein the step of determining the relevancy score for each found stored result comprises the step of summing the relevancy scores for each requested attribute in the search request divided by the number of requested attributes in the search request; and wherein the relevancy score for each requested attribute comprises a first value whenever the requested attribute is not specified in the stored search request, a second value whenever the requested attribute matches the attribute of the stored search request and the requested attribute is Must Have, a third value whenever the requested attribute that matches the attribute of the stored search request and the requested attribute is not Must Have, a fourth value whenever the requested attribute that does not match the attribute of the stored search request and the requested attribute is Must Have, and a fifth value whenever the requested attribute does not match the attribute of the stored search request and the requested attribute is not Must Have. 44. The method as recited in claim 1 , further comprising the step of deleting a stored search request. | 0.958701 |
8,412,771 | 20 | 23 | 20. A method comprising: accessing a plurality of public posts of user-generated textual content; wherein the plurality of public posts comprise a set of two of more posts from a same author; for each public post of the plurality of public posts of user-generated textual content, based at least in part on a word or phrase in the textual content of the public post, determining a degree to which the public post is associated with an entity; in response to a user's request for information about the entity, performing the steps of: selecting a set of public posts from the plurality of public posts that are predicted to be associated with the entity; and causing concurrent display, to a user other than the entity, of the selected set of public posts and information retrieved about the entity; wherein the method is performed by one or more computing devices. | 20. A method comprising: accessing a plurality of public posts of user-generated textual content; wherein the plurality of public posts comprise a set of two of more posts from a same author; for each public post of the plurality of public posts of user-generated textual content, based at least in part on a word or phrase in the textual content of the public post, determining a degree to which the public post is associated with an entity; in response to a user's request for information about the entity, performing the steps of: selecting a set of public posts from the plurality of public posts that are predicted to be associated with the entity; and causing concurrent display, to a user other than the entity, of the selected set of public posts and information retrieved about the entity; wherein the method is performed by one or more computing devices. 23. The method of claim 20 , wherein determining the degree to which the which the public post is associated with the entity comprises determining a physical distance between the physical location of the entity and a predicted physical location of an author of the public post. | 0.710251 |
9,141,622 | 11 | 12 | 11. The method of claim 3 , wherein determining an update for each of the feature weights in the selected update set includes determining an update u for a feature weight (f,l) using a derivation of the formula: u ( f , l ) = arg min u ′ l ( w + u ′ b ( f , l ) ) ; wherein l is a loss function; w is a classifier model; and b is a vector having a value of 1 at coordinate (f,l) and a value of 0 at all other coordinates. | 11. The method of claim 3 , wherein determining an update for each of the feature weights in the selected update set includes determining an update u for a feature weight (f,l) using a derivation of the formula: u ( f , l ) = arg min u ′ l ( w + u ′ b ( f , l ) ) ; wherein l is a loss function; w is a classifier model; and b is a vector having a value of 1 at coordinate (f,l) and a value of 0 at all other coordinates. 12. The method of claim 11 , wherein modifying the update vector using the step size comprises: determining a step size α using a line-search technique; and multiplying the step size α by the update vector. | 0.5 |
8,126,832 | 5 | 6 | 5. The method of claim 1 , wherein the response to the user input is generated based on a selection of predefined output elements that correlate to the one or more concepts in the multi-dimensional array. | 5. The method of claim 1 , wherein the response to the user input is generated based on a selection of predefined output elements that correlate to the one or more concepts in the multi-dimensional array. 6. The method of claim 5 , wherein the selection of the predefined output elements is based on an identification of one or more closest correlations to the one or more concepts in the multi-dimensional array. | 0.5 |
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