patent_num
int64 3.93M
10.2M
| claim_num1
int64 1
519
| claim_num2
int64 2
520
| sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|---|---|---|
8,666,951 | 1 | 4 | 1. A method of managing multiple versions of enterprise meta-models within an enterprise model using semantic based indexing, the method comprising the steps of: a computer receiving a search query from a user; the computer determining from the search query a topic and at least two versions of a topic map meta-model of the enterprise meta-models within the enterprise model to compare; the computer applying the search query from the user to a merged topic map meta-model of the at least two versions of the topic map meta-model by searching a topic map based index of the merged topic map meta-model for the topic, and producing a result; and the computer using the produced result to translate the topic from the search query in one of the at least two versions of the topic map meta-model of the enterprise meta-models to another version of the at least two versions of the topic map meta-model of the enterprise meta-models, and allowing data between the at least two versions of the topic map meta-model of the enterprise meta-models within the enterprise model to be correlated. | 1. A method of managing multiple versions of enterprise meta-models within an enterprise model using semantic based indexing, the method comprising the steps of: a computer receiving a search query from a user; the computer determining from the search query a topic and at least two versions of a topic map meta-model of the enterprise meta-models within the enterprise model to compare; the computer applying the search query from the user to a merged topic map meta-model of the at least two versions of the topic map meta-model by searching a topic map based index of the merged topic map meta-model for the topic, and producing a result; and the computer using the produced result to translate the topic from the search query in one of the at least two versions of the topic map meta-model of the enterprise meta-models to another version of the at least two versions of the topic map meta-model of the enterprise meta-models, and allowing data between the at least two versions of the topic map meta-model of the enterprise meta-models within the enterprise model to be correlated. 4. The method of claim 1 , further comprising: the computer recursively creating a merged topic map in a scope, the merged topic map including a topic map based index and instance ontology for each additional version of the enterprise meta-models; and the computer storing the merged topic map into a repository. | 0.653333 |
7,743,327 | 12 | 15 | 12. A method for identifying a table of contents in a document, the method comprising: extracting text fragments from the document; identifying (i) a contiguous group of the text fragments as table of content entries and (ii) a different group of the text fragments as linked text fragments linked with corresponding table of content entries, wherein a small portion of the identified table of content entries comprise holes that do not have associated linked text fragments, a ratio of the number of the holes to the number of linked table of content entries being a user-selectable parameter that is less than about 0.2; and validating the identified table of contents entries and linked text fragments based on at least one validation criterion related to distribution of the linked text fragments. | 12. A method for identifying a table of contents in a document, the method comprising: extracting text fragments from the document; identifying (i) a contiguous group of the text fragments as table of content entries and (ii) a different group of the text fragments as linked text fragments linked with corresponding table of content entries, wherein a small portion of the identified table of content entries comprise holes that do not have associated linked text fragments, a ratio of the number of the holes to the number of linked table of content entries being a user-selectable parameter that is less than about 0.2; and validating the identified table of contents entries and linked text fragments based on at least one validation criterion related to distribution of the linked text fragments. 15. The method as set forth in claim 12 , wherein the at least one validation criterion comprises: validate conditional upon there being no group of contiguous linked text fragments numbering greater than a threshold having one-to-one correspondence with a group of contiguous table of content entries. | 0.5 |
9,311,362 | 6 | 8 | 6. The method of claim 1 , further comprising: receiving, at the Internet search system, a second occurrence of the search query from a second user; receiving multiple second search results, each of the second search results identifying an Internet resource indexed by the search system that satisfies the query; determining that the search query matches a name of the user and that the user is a contact of the second user; and providing to the second user, in response to the search query, a second ranking of the one or more second search results and a second personal knowledge panel comprising one or more items of the updated user information provided by the user. | 6. The method of claim 1 , further comprising: receiving, at the Internet search system, a second occurrence of the search query from a second user; receiving multiple second search results, each of the second search results identifying an Internet resource indexed by the search system that satisfies the query; determining that the search query matches a name of the user and that the user is a contact of the second user; and providing to the second user, in response to the search query, a second ranking of the one or more second search results and a second personal knowledge panel comprising one or more items of the updated user information provided by the user. 8. The method of claim 6 , wherein visibility of one or more items of user information in the second personal knowledge panel is based on visibility settings provided by the user. | 0.513587 |
8,095,476 | 19 | 20 | 19. The memory device according to claim 13 , further comprising instructions that, when executed, result in: analyzing previously submitted entries in a similar previously submitted web page form; receiving a first entry in the plurality of web page fields; predicting a likely second entry to be filled in the plurality of web page fields according to a result of the analysis; and displaying the predicted likely second entry for filling in the plurality of web page fields. | 19. The memory device according to claim 13 , further comprising instructions that, when executed, result in: analyzing previously submitted entries in a similar previously submitted web page form; receiving a first entry in the plurality of web page fields; predicting a likely second entry to be filled in the plurality of web page fields according to a result of the analysis; and displaying the predicted likely second entry for filling in the plurality of web page fields. 20. The memory device according to claim 19 , further comprising instructions that, when executed, result in: tracking the acceptance or rejection by a user of previously displayed likely entries; and predicting the likely second entry based at least in part on the tracking. | 0.5 |
9,247,100 | 25 | 28 | 25. A computer program product comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code readable/executable by a processor to cause the processor to: generate text of a facsimile in a computer readable format; ascertain one or more of a significance and a relevance of at least a portion of the text by locating one or more keywords in the text, wherein at least two of the keywords are not adjacent in the text; analyze the text for at least one of a meaning and a context of the text; initiate a business process based on the analysis; detect a problem with the business process; generate a notification of the problem; notify one or more entities of the problem; and route at least one confirmation of receipt and/or delivery of the facsimile to one or more confirmation destinations based on the analysis, wherein the routing utilizes an outgoing communication device. | 25. A computer program product comprising: a non-transitory computer readable storage medium having program code embodied therewith, the program code readable/executable by a processor to cause the processor to: generate text of a facsimile in a computer readable format; ascertain one or more of a significance and a relevance of at least a portion of the text by locating one or more keywords in the text, wherein at least two of the keywords are not adjacent in the text; analyze the text for at least one of a meaning and a context of the text; initiate a business process based on the analysis; detect a problem with the business process; generate a notification of the problem; notify one or more entities of the problem; and route at least one confirmation of receipt and/or delivery of the facsimile to one or more confirmation destinations based on the analysis, wherein the routing utilizes an outgoing communication device. 28. The computer readable program product as recited in claim 25 , wherein the program code readable/executable by the processor to cause the processor to analyze the text comprises program code readable/executable by the processor to cause the processor to recognize at least one of a name, an email address and contact information in the facsimile. | 0.5 |
9,208,435 | 15 | 16 | 15. A system for dynamically generating taxonomies, the system comprising: a processor; a memory coupled to the processor storing components that are executed by the processor; a communication component stored in the memory and configured to receive a topic from a user input in a user interface on a host computer system; a generation component stored in the memory and configured to dynamically generate a plurality of terms associated with the received topic; wherein the generation component is further configured to: communicate a query to a semantic network based on the received topic, and receive the plurality of terms from the semantic network in response to the query; evaluate each of the plurality of terms against the corpus, the evaluating comprising determining that an informativeness measure for the term is within acceptable limits; and wherein the communication component is further configured to communicate to the host computer system only the plurality of terms that are determined to have the informativeness measure within the acceptable limits as a selectable refinement displayed in the user interface in response to receiving the topic from the user in the user interface, the selectable refinement associated with at least one action of a plurality of available associated actions; wherein the displayed selectable refinement comprises displaying automatically to the user, before a further interaction by the user with the user interface after receiving the topic, initial search results from the topic in the user interface, the initial search results comprising links to one or more items of the corpus, and displaying a number of items of the initial search results that correspond to each of the plurality of terms; wherein the generate comprises receiving a plurality of meanings for the topic, and the displaying comprises displaying automatically to the user, before the further interaction by the user with the user interface after receiving the topic, for each of the meanings a set of one or more of the plurality of terms that relate to the meaning; wherein one of the selectable refinements, when selected by the user and associated with an action comprising a text search, generates additional search results that are a subset of the initial search results and that correspond to the term of the selected refinement. | 15. A system for dynamically generating taxonomies, the system comprising: a processor; a memory coupled to the processor storing components that are executed by the processor; a communication component stored in the memory and configured to receive a topic from a user input in a user interface on a host computer system; a generation component stored in the memory and configured to dynamically generate a plurality of terms associated with the received topic; wherein the generation component is further configured to: communicate a query to a semantic network based on the received topic, and receive the plurality of terms from the semantic network in response to the query; evaluate each of the plurality of terms against the corpus, the evaluating comprising determining that an informativeness measure for the term is within acceptable limits; and wherein the communication component is further configured to communicate to the host computer system only the plurality of terms that are determined to have the informativeness measure within the acceptable limits as a selectable refinement displayed in the user interface in response to receiving the topic from the user in the user interface, the selectable refinement associated with at least one action of a plurality of available associated actions; wherein the displayed selectable refinement comprises displaying automatically to the user, before a further interaction by the user with the user interface after receiving the topic, initial search results from the topic in the user interface, the initial search results comprising links to one or more items of the corpus, and displaying a number of items of the initial search results that correspond to each of the plurality of terms; wherein the generate comprises receiving a plurality of meanings for the topic, and the displaying comprises displaying automatically to the user, before the further interaction by the user with the user interface after receiving the topic, for each of the meanings a set of one or more of the plurality of terms that relate to the meaning; wherein one of the selectable refinements, when selected by the user and associated with an action comprising a text search, generates additional search results that are a subset of the initial search results and that correspond to the term of the selected refinement. 16. The system according to claim 15 , wherein each of the received plurality of terms correspond to at least one sense of the received topic. | 0.786145 |
8,140,526 | 15 | 16 | 15. The method of claim 14 , further comprising: summing the frequencies of the property names in the first group in the document to produce a first sum; and summing the frequencies of property names in the second group in the document to produce a second sum, where the relevance score is calculated using the first sum and the second sum. | 15. The method of claim 14 , further comprising: summing the frequencies of the property names in the first group in the document to produce a first sum; and summing the frequencies of property names in the second group in the document to produce a second sum, where the relevance score is calculated using the first sum and the second sum. 16. The method of claim 15 , wherein the relevance score is calculated using the ratio of the first sum to the sum of the first sum and the second sum. | 0.5 |
9,542,065 | 1 | 7 | 1. A mobile communication device comprising: a display; a processor coupled to the display; and a memory coupled to the processor containing instructions which when executed by the processor provide: at least one application; at least one skinning theme document; and a media engine comprising: a parser for parsing the at least one skinning theme document into a template describing rendering characteristics of a graphical interface, the skinning theme document identifying at least one data element; an interaction interface for receiving data from the at least one application associated with one or more of the at least one data element; and a renderer for rendering the received data in accordance with the template as the graphical interface wherein the graphical interface presents one or more data elements of the at least one application that is rendered, wherein the skinning theme document identifies at least one custom event, wherein the interaction interface further receives a notification from the at least one application of an occurrence of one or more of the at least one custom event, and wherein the renderer renders the graphical interface based on the occurrence of one or more of the at least one custom event. | 1. A mobile communication device comprising: a display; a processor coupled to the display; and a memory coupled to the processor containing instructions which when executed by the processor provide: at least one application; at least one skinning theme document; and a media engine comprising: a parser for parsing the at least one skinning theme document into a template describing rendering characteristics of a graphical interface, the skinning theme document identifying at least one data element; an interaction interface for receiving data from the at least one application associated with one or more of the at least one data element; and a renderer for rendering the received data in accordance with the template as the graphical interface wherein the graphical interface presents one or more data elements of the at least one application that is rendered, wherein the skinning theme document identifies at least one custom event, wherein the interaction interface further receives a notification from the at least one application of an occurrence of one or more of the at least one custom event, and wherein the renderer renders the graphical interface based on the occurrence of one or more of the at least one custom event. 7. The mobile communication device as claimed in claim 1 , further comprising an event engine for providing event notification to the application. | 0.882448 |
8,437,612 | 1 | 2 | 1. A non-transitory computer readable storage medium, comprising: audio-visual data; and text-based subtitle data to provide subtitles of the audio-visual data, wherein the text-based subtitle data comprises a plurality of dialog presentation units and a dialog style unit defining a set of output styles to be applied to the dialog presentation units, and each dialog presentation unit comprises dialog text information, time information indicating a time for the dialog text information to be output, palette information defining colors to be applied to the dialog text information, and a color update flag indicating whether only the palette information has changed as compared with a graphical composition of a previous dialog presentation unit. | 1. A non-transitory computer readable storage medium, comprising: audio-visual data; and text-based subtitle data to provide subtitles of the audio-visual data, wherein the text-based subtitle data comprises a plurality of dialog presentation units and a dialog style unit defining a set of output styles to be applied to the dialog presentation units, and each dialog presentation unit comprises dialog text information, time information indicating a time for the dialog text information to be output, palette information defining colors to be applied to the dialog text information, and a color update flag indicating whether only the palette information has changed as compared with a graphical composition of a previous dialog presentation unit. 2. The non-transitory computer readable storage medium as claimed in claim 1 , wherein, if the color update flag is set to 1, the palette information is applied to a previous dialog text information output according to the previous dialog presentation unit. | 0.5 |
9,703,761 | 1 | 13 | 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: receiving a request for a resource from a client device, wherein the requested resource includes markup language code and executable code that is capable of being executed by an application at the client device; selecting, in response to receiving the request for the resource and from among a plurality of resource mappings that are assigned to respective resources from a plurality of resources, a particular resource mapping that is assigned to the requested resource and that designates: (i) a first portion of the executable code of the requested resource as non-essential to an ability of the application at the client device to render a visually complete presentation of the requested resource, and (ii) a second portion of the executable code of the requested resource as essential to the ability of the application at the client device to render the visually complete presentation of the requested resource; and generating, based on identifying that the particular resource mapping designates the first portion of the executable code as non-essential to the ability of the application at the client device to render the visually complete presentation of the requested resource, a modified version of the requested resource by delimiting the first portion of the executable code or a modified version of the first portion of the executable code, to an exclusion of the second portion of the executable code, within the markup language code of the requested resource in a manner that prevents the first portion of the executable code or the modified version of the first portion of the executable code from being executed when the application at the client device initially loads the modified version of the requested resource; and transmitting, to the client device, the modified version of the requested resource. | 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: receiving a request for a resource from a client device, wherein the requested resource includes markup language code and executable code that is capable of being executed by an application at the client device; selecting, in response to receiving the request for the resource and from among a plurality of resource mappings that are assigned to respective resources from a plurality of resources, a particular resource mapping that is assigned to the requested resource and that designates: (i) a first portion of the executable code of the requested resource as non-essential to an ability of the application at the client device to render a visually complete presentation of the requested resource, and (ii) a second portion of the executable code of the requested resource as essential to the ability of the application at the client device to render the visually complete presentation of the requested resource; and generating, based on identifying that the particular resource mapping designates the first portion of the executable code as non-essential to the ability of the application at the client device to render the visually complete presentation of the requested resource, a modified version of the requested resource by delimiting the first portion of the executable code or a modified version of the first portion of the executable code, to an exclusion of the second portion of the executable code, within the markup language code of the requested resource in a manner that prevents the first portion of the executable code or the modified version of the first portion of the executable code from being executed when the application at the client device initially loads the modified version of the requested resource; and transmitting, to the client device, the modified version of the requested resource. 13. The system of claim 1 , wherein: the plurality of resource mappings include a first subset of resource mappings, including the particular resource mapping, that are each assigned to the requested resource; and at least two resource mappings within the first subset of resource mappings designate different portions of the executable code of the requested resource as non-essential for rendering a visually complete presentation of the requested resource. | 0.682825 |
7,761,843 | 32 | 33 | 32. The tangible computer-readable medium having computer-executable instructions of claim 29 wherein defining the programming command further comprises defining each word within the programming command. | 32. The tangible computer-readable medium having computer-executable instructions of claim 29 wherein defining the programming command further comprises defining each word within the programming command. 33. The tangible computer-readable medium having computer-executable instructions of claim 32 wherein defining a word comprises defining a word as a constant word or an enterable word. | 0.54 |
9,785,535 | 1 | 4 | 1. A multi-data analysis based proactive defect detection and resolution system comprising: a data analyzer, executed by at least one hardware processor, to analyze operational data for an application to determine whether a functionality related to the application is below a predetermined threshold associated with the functionality related to the application, in response to a determination that the functionality related to the application is below the predetermined threshold associated with the functionality related to the application, generate an indication to perform defect analysis related to the functionality related to the application, perform, in response to the generated indication, a sentiment analysis on consumer data related to the application to determine a sentiment of the consumer data related to the application, and a natural language processing (NLP) analysis, in response to a determination that the sentiment is a negative sentiment, on the consumer data related to the application to determine a function associated with the negative sentiment; a defect detector, executed by the at least one hardware processor, to analyze, in response to the determination that the sentiment is the negative sentiment, application code and process data related to the application to determine a defect associated with the application by comparing a new user interaction pattern with the application to a previous user interaction pattern with the application, and in response to a determination that the new user interaction pattern with the application is different from the previous user interaction pattern with the application, identifying the defect associated with the application; and a defect resolver, executed by the at least one hardware processor, to modify a code of the application to correct the defect associated with the application. | 1. A multi-data analysis based proactive defect detection and resolution system comprising: a data analyzer, executed by at least one hardware processor, to analyze operational data for an application to determine whether a functionality related to the application is below a predetermined threshold associated with the functionality related to the application, in response to a determination that the functionality related to the application is below the predetermined threshold associated with the functionality related to the application, generate an indication to perform defect analysis related to the functionality related to the application, perform, in response to the generated indication, a sentiment analysis on consumer data related to the application to determine a sentiment of the consumer data related to the application, and a natural language processing (NLP) analysis, in response to a determination that the sentiment is a negative sentiment, on the consumer data related to the application to determine a function associated with the negative sentiment; a defect detector, executed by the at least one hardware processor, to analyze, in response to the determination that the sentiment is the negative sentiment, application code and process data related to the application to determine a defect associated with the application by comparing a new user interaction pattern with the application to a previous user interaction pattern with the application, and in response to a determination that the new user interaction pattern with the application is different from the previous user interaction pattern with the application, identifying the defect associated with the application; and a defect resolver, executed by the at least one hardware processor, to modify a code of the application to correct the defect associated with the application. 4. The multi-data analysis based proactive defect detection and resolution system according to claim 1 , wherein the data analyzer is to analyze operational data for the application to determine whether the functionality related to the application is below the predetermined threshold associated with the functionality related to the application by correlating the determination that the functionality related to the application is below the predetermined threshold associated with the functionality related to the application to a release history of the application, and determining, based on the correlation, whether the determination that the functionality related to the application is below the predetermined threshold associated with the functionality related to the application is based on a new release version of the application or a previous release version of the application. | 0.568999 |
8,255,219 | 1 | 21 | 1. A method for improving performance of a speech recognition system comprising: operating a processor to determine a performance of the system based on either recognition of instances of a word or recognition of instances of various words among a set of words, and determining a corrective action based on the performance, to improve the performance. | 1. A method for improving performance of a speech recognition system comprising: operating a processor to determine a performance of the system based on either recognition of instances of a word or recognition of instances of various words among a set of words, and determining a corrective action based on the performance, to improve the performance. 21. The method of claim 1 , wherein determining the corrective action is based on performance of a system or systems used by one or more users. | 0.808311 |
9,244,706 | 1 | 6 | 1. A method executed at least in part in a computing device to generate automatic command shell command code based on a schema, the method comprising: receiving the schema that includes one or more of: element declarations, attribute declarations, simple type definitions and complex type definitions; reading the schema to create a model for classes that include an interface and a structure, wherein the classes validate constraints in the schema; optimizing the model to translate the schema to an application programming interface (API); and inserting a plug-in to the optimized model to generate a command for a command shell based on the optimized model by; disabling generation of a default code for the command, using the plug-in; and generating a plug-in code for the command, using the plug-in, wherein the command manipulates data that is structured based on the classes according to a class definition in a data store associated with the schema defined by the optimized model at runtime. | 1. A method executed at least in part in a computing device to generate automatic command shell command code based on a schema, the method comprising: receiving the schema that includes one or more of: element declarations, attribute declarations, simple type definitions and complex type definitions; reading the schema to create a model for classes that include an interface and a structure, wherein the classes validate constraints in the schema; optimizing the model to translate the schema to an application programming interface (API); and inserting a plug-in to the optimized model to generate a command for a command shell based on the optimized model by; disabling generation of a default code for the command, using the plug-in; and generating a plug-in code for the command, using the plug-in, wherein the command manipulates data that is structured based on the classes according to a class definition in a data store associated with the schema defined by the optimized model at runtime. 6. The method of claim 1 , wherein the command is a cmdlet for the command shell. | 0.75 |
9,836,502 | 1 | 12 | 1. A computer-implemented method comprising: receiving a selection of one or more identifiers of panel templates among a plurality of identifiers of panel templates, wherein each identifier of the plurality of identifiers is associated with a panel template that includes a query and a format for displaying an associated panel in a dashboard, wherein selecting the one or more identifiers of panel templates comprises: dragging each identifier of the one or more identifiers of panel templates onto a representation of a dashboard in a displayed dashboard-creation page; and dropping each dragged identifier at an associated position in the dashboard-creation page, each associated position being indicative of where the associated panel appears when the dashboard is displayed; in response to selecting an identifier of the one or more identifiers of panel templates: adding a reference to an associated panel template of the selected identifier in the associated panel in the dashboard-creation page; and adding to the dashboard-creation page an indication of the panel associated with the selected identifier; in response to a user action for a particular panel in the dashboard-creation page, executing a query included in a panel template referenced by the particular panel to generate data for display in that particular panel within the dashboard-creation page; and visualizing, within the particular panel within the dashboard-creation page, data resulting from execution of the query in the panel template referenced by the particular panel. | 1. A computer-implemented method comprising: receiving a selection of one or more identifiers of panel templates among a plurality of identifiers of panel templates, wherein each identifier of the plurality of identifiers is associated with a panel template that includes a query and a format for displaying an associated panel in a dashboard, wherein selecting the one or more identifiers of panel templates comprises: dragging each identifier of the one or more identifiers of panel templates onto a representation of a dashboard in a displayed dashboard-creation page; and dropping each dragged identifier at an associated position in the dashboard-creation page, each associated position being indicative of where the associated panel appears when the dashboard is displayed; in response to selecting an identifier of the one or more identifiers of panel templates: adding a reference to an associated panel template of the selected identifier in the associated panel in the dashboard-creation page; and adding to the dashboard-creation page an indication of the panel associated with the selected identifier; in response to a user action for a particular panel in the dashboard-creation page, executing a query included in a panel template referenced by the particular panel to generate data for display in that particular panel within the dashboard-creation page; and visualizing, within the particular panel within the dashboard-creation page, data resulting from execution of the query in the panel template referenced by the particular panel. 12. The method of claim 1 , wherein the indication of each of the panels in the dashboard-creation page includes, for each panel, an indication of the query and the format specified by that panel's panel template, and wherein the query and the format is user-editable in the dashboard-creation page. | 0.727687 |
8,170,863 | 3 | 4 | 3. The system of claim 1 , wherein the portlet is rendered with a button if the translation paradigm dictates that translation of the web content is viewer initiated. | 3. The system of claim 1 , wherein the portlet is rendered with a button if the translation paradigm dictates that translation of the web content is viewer initiated. 4. The system of claim 3 , wherein selection of the button reveals a menu of target languages into which the web content can be translated. | 0.5 |
9,633,116 | 39 | 40 | 39. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving information characterizing explicit relationships between a first member, a second member, and a third member in a member network; receiving a first search query submitted by the first member; responding to the first search query with a) first links to a collection of articles in a result set responsive to the first search query, and b) one or more second links for receiving input characterizing the first member's ratings of local product or service providers identified in the result set responsive to the first search query; receiving the first member's selection of one of the second links; storing the information characterizing the first member's rating of a first local product or service provider that corresponds with the selected one of the second links; receiving a third search query submitted by the third member; responding to the third search query with a) third links to a collection of articles in a result set responsive to the third search query, and b) one or more fourth links for receiving input characterizing the third member's ratings of local product or service providers identified in the result set responsive to the third search query; receiving the third member's selection of one of the fourth links; storing the information characterizing the third member's rating of a second local product or service provider that corresponds with the selected one of the fourth links; receiving a local search query submitted by the second member, wherein the local search query comprises information identifying one or more items to be found and a geographic locale to be searched; determining a result set responsive to the local search query; ranking items in the result set using a degree of the relationship between the first member and the second member and on a degree of the relationship between the third member and the second member; and based on the relationship between the first member and the second member and on the relationship between the third member and the second member, providing the second member with information describing the result set, the identity of the first member, the availability of the information characterizing the first member's rating, the identity of the third member, and the availability of the information characterizing the third member's rating. | 39. A non-transitory computer storage medium encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising: receiving information characterizing explicit relationships between a first member, a second member, and a third member in a member network; receiving a first search query submitted by the first member; responding to the first search query with a) first links to a collection of articles in a result set responsive to the first search query, and b) one or more second links for receiving input characterizing the first member's ratings of local product or service providers identified in the result set responsive to the first search query; receiving the first member's selection of one of the second links; storing the information characterizing the first member's rating of a first local product or service provider that corresponds with the selected one of the second links; receiving a third search query submitted by the third member; responding to the third search query with a) third links to a collection of articles in a result set responsive to the third search query, and b) one or more fourth links for receiving input characterizing the third member's ratings of local product or service providers identified in the result set responsive to the third search query; receiving the third member's selection of one of the fourth links; storing the information characterizing the third member's rating of a second local product or service provider that corresponds with the selected one of the fourth links; receiving a local search query submitted by the second member, wherein the local search query comprises information identifying one or more items to be found and a geographic locale to be searched; determining a result set responsive to the local search query; ranking items in the result set using a degree of the relationship between the first member and the second member and on a degree of the relationship between the third member and the second member; and based on the relationship between the first member and the second member and on the relationship between the third member and the second member, providing the second member with information describing the result set, the identity of the first member, the availability of the information characterizing the first member's rating, the identity of the third member, and the availability of the information characterizing the third member's rating. 40. The computer storage medium of claim 39 , wherein the first member's rating of the first local product or service provider comprises a scaled grade. | 0.676596 |
8,352,839 | 17 | 22 | 17. A computer implemented method for transmitting data, the method comprising: receiving data to be encoded into a word for transmission across a transmission medium; receiving constraints on symbol values associated with the word; encoding the data into the word, the encoding comprising: representing the data and the constraints as a first linear system in a first field of a first size; embedding the first linear system into a second linear system in a second field of a second size, the second size larger than the first size; solving the second linear system in the second field resulting in a solution; and collapsing the solution into the first field resulting in the word, the word satisfying the constraints on symbol values associated with the word; and outputting the word on the transmission medium. | 17. A computer implemented method for transmitting data, the method comprising: receiving data to be encoded into a word for transmission across a transmission medium; receiving constraints on symbol values associated with the word; encoding the data into the word, the encoding comprising: representing the data and the constraints as a first linear system in a first field of a first size; embedding the first linear system into a second linear system in a second field of a second size, the second size larger than the first size; solving the second linear system in the second field resulting in a solution; and collapsing the solution into the first field resulting in the word, the word satisfying the constraints on symbol values associated with the word; and outputting the word on the transmission medium. 22. The method of claim 17 , wherein the collapsing includes multiplying a matrix times the solution. | 0.536697 |
9,473,587 | 3 | 13 | 3. The method of claim 1 , wherein a relevance factor is based on a quality indicator associated with the content item. | 3. The method of claim 1 , wherein a relevance factor is based on a quality indicator associated with the content item. 13. The method of claim 3 , wherein the quality indicator is based on at least one of a presence of an image, a length of text, or a completeness of text included in the content item. | 0.5 |
8,195,756 | 4 | 5 | 4. The method as recited in claim 3 , further comprising the step of communicating with the one or more users. | 4. The method as recited in claim 3 , further comprising the step of communicating with the one or more users. 5. The method as recited in claim 4 , wherein the communicating comprises sending email to the one or more additional users to invite them to send messages. | 0.5 |
9,122,660 | 16 | 18 | 16. A non-transitory computer-readable medium, with instructions stored thereon, which when executed by at least one processor cause a computing device to: instantiate a first packaged file presentation shell of a page description language document within a page description language document application, the first packaged file presentation shell including standardized graphical elements including one or more packaged file presentation nodes, each standardized graphical element including properties; apply a presentation overlay to the instantiated first packaged file presentation shell, the presentation overlay including at least one standardized graphical element, which, when applied to the first packaged file presentation shell, overrides respective standardized graphical element properties including respective packaged file presentation nodes that each represent a packaged file within the page description language document; and present, via the page description language document application, a view of at least a portion of the page description language document according to (1) metadata associating each packaged file with the respective packaged file presentation node of the first packaged file presentation shell, and (2) the first packaged file presentation shell as modified by the presentation overlay, wherein the presentation overlay modifies only the first packaged file presentation shell when the at least the portion of the page description language document is presented. | 16. A non-transitory computer-readable medium, with instructions stored thereon, which when executed by at least one processor cause a computing device to: instantiate a first packaged file presentation shell of a page description language document within a page description language document application, the first packaged file presentation shell including standardized graphical elements including one or more packaged file presentation nodes, each standardized graphical element including properties; apply a presentation overlay to the instantiated first packaged file presentation shell, the presentation overlay including at least one standardized graphical element, which, when applied to the first packaged file presentation shell, overrides respective standardized graphical element properties including respective packaged file presentation nodes that each represent a packaged file within the page description language document; and present, via the page description language document application, a view of at least a portion of the page description language document according to (1) metadata associating each packaged file with the respective packaged file presentation node of the first packaged file presentation shell, and (2) the first packaged file presentation shell as modified by the presentation overlay, wherein the presentation overlay modifies only the first packaged file presentation shell when the at least the portion of the page description language document is presented. 18. The non-transitory computer-readable medium of claim 16 , wherein at least one graphical element of the presentation overlay, which when applied, invokes one or more methods of an application plug-in executable on the at least one processor to be operable within the page description language document application. | 0.826419 |
9,715,542 | 6 | 12 | 6. The method of claim 1 , further comprising presenting a results list in response to the search query, wherein: the associating one or more of the multiple objects with tags is performed by a first user, wherein the tag contains one or more tag terms; the search query contains the one or more tag terms in the tag and is performed by a second user; the results list is presented to the second user; and the relevance scores are influenced by a level of confidence placed in the first user or in groups to which the first user belongs. | 6. The method of claim 1 , further comprising presenting a results list in response to the search query, wherein: the associating one or more of the multiple objects with tags is performed by a first user, wherein the tag contains one or more tag terms; the search query contains the one or more tag terms in the tag and is performed by a second user; the results list is presented to the second user; and the relevance scores are influenced by a level of confidence placed in the first user or in groups to which the first user belongs. 12. The method of claim 6 , further comprising marking at least one of the multiple objects in the results list with a graphic element. | 0.77649 |
9,176,958 | 8 | 14 | 8. An apparatus for searching music, the apparatus comprising: a tempo scale set generating unit, configured to: receive a query comprising a pulse train representable by a plurality of query values defining a tempo of music to be searched; generate a tempo scale set based on the query, wherein the generating comprises mapping each of the query values to a tempo scale representing a length of a note corresponding to the query value, wherein the tempo scale set is a set of tempo scales representing lengths of musical notes corresponding to the plurality of query values; a tempo word set constructing unit, configured to construct a tempo word set based on the tempo scale set generated by said tempo scale set generating unit, the tempo word set comprising a plurality of tempo words, wherein constructing each tempo word of the one or more tempo words comprises collecting one or more tempo scales of the tempo scale set, wherein the two or more tempo scales are positioned in the tempo scale set at a predetermined interval from one another; and a music identification unit, configured to identify the music based on the tempo word set constructed by said tempo word set constructing unit. | 8. An apparatus for searching music, the apparatus comprising: a tempo scale set generating unit, configured to: receive a query comprising a pulse train representable by a plurality of query values defining a tempo of music to be searched; generate a tempo scale set based on the query, wherein the generating comprises mapping each of the query values to a tempo scale representing a length of a note corresponding to the query value, wherein the tempo scale set is a set of tempo scales representing lengths of musical notes corresponding to the plurality of query values; a tempo word set constructing unit, configured to construct a tempo word set based on the tempo scale set generated by said tempo scale set generating unit, the tempo word set comprising a plurality of tempo words, wherein constructing each tempo word of the one or more tempo words comprises collecting one or more tempo scales of the tempo scale set, wherein the two or more tempo scales are positioned in the tempo scale set at a predetermined interval from one another; and a music identification unit, configured to identify the music based on the tempo word set constructed by said tempo word set constructing unit. 14. The apparatus according to claim 8 , further comprising an input device capable of receiving said query as a series of taps by a user on said input device. | 0.794041 |
7,490,092 | 160 | 161 | 160. A method of indexing and searching timed media files, as recited in claim 1 , further comprising the step of receiving at least one query information representation. | 160. A method of indexing and searching timed media files, as recited in claim 1 , further comprising the step of receiving at least one query information representation. 161. A method of indexing and searching timed media files, as recited in claim 160 , further comprising the step of determining if at least two query information representations have been input. | 0.5 |
9,659,005 | 25 | 26 | 25. A system comprising: one or more text processors receiving text from one or more text sources, the one or more text processors converting the text into intermediate logical statements that abstract over syntactic form and converting each logical statement into a semantic representation that equates logical statements that have equivalent meanings, wherein the converting into a semantic representation uses a semantic model that comprises a plurality of frames, each frame representing a relation or event and comprising one or more variables serving roles in the relation or event and each frame comprising one or more equivalent patterns, each pattern having a form of an intermediate statement including at least one variable and comprising a definition of a logical form that corresponds to a plurality of logically equivalent grammatical forms; a semantic database connected to the one or more text processors and receiving and storing the semantic representation; and one or more query processors connected to the semantic database, the one or more query processors receiving a query from a computing device and converting the query into one or more semantic subqueries, wherein the semantic database matches each semantic subquery to stored semantic representations and joins results to determine one or more answers to the query, the one or more query processors sending the determined one or more answers to the computing device. | 25. A system comprising: one or more text processors receiving text from one or more text sources, the one or more text processors converting the text into intermediate logical statements that abstract over syntactic form and converting each logical statement into a semantic representation that equates logical statements that have equivalent meanings, wherein the converting into a semantic representation uses a semantic model that comprises a plurality of frames, each frame representing a relation or event and comprising one or more variables serving roles in the relation or event and each frame comprising one or more equivalent patterns, each pattern having a form of an intermediate statement including at least one variable and comprising a definition of a logical form that corresponds to a plurality of logically equivalent grammatical forms; a semantic database connected to the one or more text processors and receiving and storing the semantic representation; and one or more query processors connected to the semantic database, the one or more query processors receiving a query from a computing device and converting the query into one or more semantic subqueries, wherein the semantic database matches each semantic subquery to stored semantic representations and joins results to determine one or more answers to the query, the one or more query processors sending the determined one or more answers to the computing device. 26. The system of claim 25 , wherein: the one or more query processors use the semantic model to convert the question to the semantic query. | 0.5 |
8,271,542 | 8 | 9 | 8. A computer-implemented method for managing data, comprising: identifying one or more data sources collectively comprising a plurality of data objects; identifying a perspective out of a plurality of different available perspectives, wherein each of the plurality of different available perspectives defines a particular structure for selecting and determining metadata for describing the data sources; associating a selected one of a plurality of different metadata schemas with the data sources, each of the different metadata schemas having respectively distinct sets of terminology for describing data; automatically producing metadata for each of the data objects using the selected metadata schema; automatically producing a perspective-based metadata description of the data sources, wherein the production of the perspective-based metadata includes analytically categorizing and selecting metadata produced according to the selected metadata schema into a particularly categorized and selected set of the metadata according to the perspective, thereby providing a top-down, conceptual hierarchy of properties and meanings of data objects in the data sources; displaying a graphic visualization of the produced particularly organized and selected set of metadata; and creating a document which includes both the metadata and corresponding indicators to the data objects in the data sources. | 8. A computer-implemented method for managing data, comprising: identifying one or more data sources collectively comprising a plurality of data objects; identifying a perspective out of a plurality of different available perspectives, wherein each of the plurality of different available perspectives defines a particular structure for selecting and determining metadata for describing the data sources; associating a selected one of a plurality of different metadata schemas with the data sources, each of the different metadata schemas having respectively distinct sets of terminology for describing data; automatically producing metadata for each of the data objects using the selected metadata schema; automatically producing a perspective-based metadata description of the data sources, wherein the production of the perspective-based metadata includes analytically categorizing and selecting metadata produced according to the selected metadata schema into a particularly categorized and selected set of the metadata according to the perspective, thereby providing a top-down, conceptual hierarchy of properties and meanings of data objects in the data sources; displaying a graphic visualization of the produced particularly organized and selected set of metadata; and creating a document which includes both the metadata and corresponding indicators to the data objects in the data sources. 9. A method according to claim 8 , wherein the step of identifying one or more data sources includes receiving a plurality of documents from a search operation. | 0.633028 |
8,433,731 | 9 | 15 | 9. A system comprising: a processor; and a computer-readable medium storing instructions for controlling the processor to perform a method comprising: generating, from an input lattice representing a first modality of an input, a first markup-language expression; generating, via a finite-state transducer, a concatenated mapping, wherein the finite-state transducer: uses the input lattice and a first finite-state machine having associated markup-language semantics to relate the first markup-language expression to a second markup-language expression representing a second modality based on a level of coincidence between the first modality and the second modality, to yield a mapping; and concatenates input symbols of the mapping associated with the markup-language semantics, to yield the concatenated mapping; generating, using the input and a second finite-state machine representing the concatenated mapping, a third markup-language expression; and outputting the third markup-language expression. | 9. A system comprising: a processor; and a computer-readable medium storing instructions for controlling the processor to perform a method comprising: generating, from an input lattice representing a first modality of an input, a first markup-language expression; generating, via a finite-state transducer, a concatenated mapping, wherein the finite-state transducer: uses the input lattice and a first finite-state machine having associated markup-language semantics to relate the first markup-language expression to a second markup-language expression representing a second modality based on a level of coincidence between the first modality and the second modality, to yield a mapping; and concatenates input symbols of the mapping associated with the markup-language semantics, to yield the concatenated mapping; generating, using the input and a second finite-state machine representing the concatenated mapping, a third markup-language expression; and outputting the third markup-language expression. 15. The system of claim 9 , wherein the computer-readable storage medium stores further instructions which result in the method further comprising using the third markup-language expression to perform another function. | 0.585551 |
7,529,737 | 13 | 14 | 13. The process of claim 1 , wherein the first subset comprises half of the documents in the set of selected documents. | 13. The process of claim 1 , wherein the first subset comprises half of the documents in the set of selected documents. 14. The process of claim 13 , wherein the third subset comprises 20% of the documents in the set of selected documents. | 0.5 |
7,783,626 | 3 | 6 | 3. The method of claim 1 , further comprising: building a new version of a delta index using the previously generated global analysis computations, a current version of a delta store, and newly crawled documents. | 3. The method of claim 1 , further comprising: building a new version of a delta index using the previously generated global analysis computations, a current version of a delta store, and newly crawled documents. 6. The method of claim 3 , wherein generating the new global analysis computations is performed in parallel with creation of the new version of the delta index. | 0.649123 |
10,089,640 | 1 | 6 | 1. A parking lot usage profiling method for improving a parking management system, said method comprising: collecting transaction data from at least one off-street parking area utilizing at least one data extractor among a plurality of data extractors; analyzing said transaction data with respect to spatio-temporal behavioral patterns using machine learning that includes feature extraction with respect to said transaction data collected from said at least one off-street parking area utilizing said at least one data extractor among said plurality of data extractors; compiling user profiles from said transaction data in at least one database that communicates with said at least one data extractor, in response to analyzing said transaction data with respect to spatio-temporal behavioral patterns with respect to said at least one off-street parking area; and providing a visualization engine for visualizing said user profiles and other data, wherein said visualization engine includes a GUI (Graphical User Interface) for visualizing parking and traffic data and implementing a framework for creating, testing, and exploring data processing techniques in geo-spatial data with ease, said GUI comprising a profiling tool displayed in a secondary screen of said GUI that allows said user to select and create a clustering module, and wherein said profiling tool further automatically creates profiles from suggested options that are capable of being manually overridden for exploratory purposes in a third screen of said GUI, wherein said spatio-temporal behavior patterns include said geo-spatial data and wherein said parking and traffic data include said transaction data, which results in improvements in the functioning of said parking management system and user profiling in off-street parking applications. | 1. A parking lot usage profiling method for improving a parking management system, said method comprising: collecting transaction data from at least one off-street parking area utilizing at least one data extractor among a plurality of data extractors; analyzing said transaction data with respect to spatio-temporal behavioral patterns using machine learning that includes feature extraction with respect to said transaction data collected from said at least one off-street parking area utilizing said at least one data extractor among said plurality of data extractors; compiling user profiles from said transaction data in at least one database that communicates with said at least one data extractor, in response to analyzing said transaction data with respect to spatio-temporal behavioral patterns with respect to said at least one off-street parking area; and providing a visualization engine for visualizing said user profiles and other data, wherein said visualization engine includes a GUI (Graphical User Interface) for visualizing parking and traffic data and implementing a framework for creating, testing, and exploring data processing techniques in geo-spatial data with ease, said GUI comprising a profiling tool displayed in a secondary screen of said GUI that allows said user to select and create a clustering module, and wherein said profiling tool further automatically creates profiles from suggested options that are capable of being manually overridden for exploratory purposes in a third screen of said GUI, wherein said spatio-temporal behavior patterns include said geo-spatial data and wherein said parking and traffic data include said transaction data, which results in improvements in the functioning of said parking management system and user profiling in off-street parking applications. 6. The method of claim 1 further comprising analyzing said transaction data with respect to said spatio-temporal behavioral patterns based on an interpretation of said spatio-temporal behavioral patterns wherein said spatio-temporal behavioral patterns include temporal variables comprising circular variables, wherein each circular variable among said circular variables are decomposed into two components, wherein said two components are used for clustering by said clustering module. | 0.5 |
7,849,398 | 11 | 19 | 11. A method for populating a form comprising: capturing an image of a physical document; applying optical character recognition to the captured image to identify textual content; tagging candidate text segments in the textual content for fields of the form; for each of a plurality of the fields of the form, estimating a manual entry time and a manual correction time for the field, wherein the estimated manual entry time is an estimated time period for a user to enter a text segment into the field without automatic population and the estimated manual correction time is an estimated time period for a user to correct a text segment in the field after automatic population; and automatically populating a field of the form with the tagged candidate text segment if the field is designated as an automatically populated field, otherwise leaving the field blank, the designation of the field depending on the estimated manual entry time and manual correction time and at least one of: a text length parameter, a predetermined tagging error rate, an optical character recognition error rate, and a field relevance parameter which has been previously assigned to that field. | 11. A method for populating a form comprising: capturing an image of a physical document; applying optical character recognition to the captured image to identify textual content; tagging candidate text segments in the textual content for fields of the form; for each of a plurality of the fields of the form, estimating a manual entry time and a manual correction time for the field, wherein the estimated manual entry time is an estimated time period for a user to enter a text segment into the field without automatic population and the estimated manual correction time is an estimated time period for a user to correct a text segment in the field after automatic population; and automatically populating a field of the form with the tagged candidate text segment if the field is designated as an automatically populated field, otherwise leaving the field blank, the designation of the field depending on the estimated manual entry time and manual correction time and at least one of: a text length parameter, a predetermined tagging error rate, an optical character recognition error rate, and a field relevance parameter which has been previously assigned to that field. 19. An apparatus for populating an electronic form including a processor which performs the method of claim 11 and a graphical user interface which displays a form to be populated, the user interface displaying automatically populated fields for which a determination has been made by the processor to automatically populate the field. | 0.634279 |
7,693,956 | 4 | 9 | 4. A computer implemented method comprising: receiving by a search service computing server on the Internet, from a client device having access to the Internet, a search request, wherein the search request includes a plurality of search criteria and directs the search service computing server to search the Internet for a plurality of information locations having information associated with the plurality of search criteria, the plurality of search criteria including a first and a second physical location name or identifier; and returning to the client device, in response to the search request, by the search service computing server, an answer page having a plurality of answers identifying a plurality of information locations having information potentially associated with the first physical location, the second physical location, or both, wherein at least a first of the answers associated with a first information page of a first information location having information associated with the search criteria does not include any input field displayed on the answer page, and at least a second of the answers associated with a second information page of a second information location having information associated with the search criteria includes at least one input field displayed on the answer page for entry of at least a flight departure date for a flight between the first and second physical locations, the at least one input field associated with the second information page; wherein the second answer is placed in the answer page either ahead of or at a side of the first answer; wherein the second answer including at least one input field further includes an index indexing to the second information location from which the input field is generated, the index including the one or more search criteria and a set of one or more associated parameters, and the set of one or more associated parameters including at least one parameter variable corresponding to the at least one input field. | 4. A computer implemented method comprising: receiving by a search service computing server on the Internet, from a client device having access to the Internet, a search request, wherein the search request includes a plurality of search criteria and directs the search service computing server to search the Internet for a plurality of information locations having information associated with the plurality of search criteria, the plurality of search criteria including a first and a second physical location name or identifier; and returning to the client device, in response to the search request, by the search service computing server, an answer page having a plurality of answers identifying a plurality of information locations having information potentially associated with the first physical location, the second physical location, or both, wherein at least a first of the answers associated with a first information page of a first information location having information associated with the search criteria does not include any input field displayed on the answer page, and at least a second of the answers associated with a second information page of a second information location having information associated with the search criteria includes at least one input field displayed on the answer page for entry of at least a flight departure date for a flight between the first and second physical locations, the at least one input field associated with the second information page; wherein the second answer is placed in the answer page either ahead of or at a side of the first answer; wherein the second answer including at least one input field further includes an index indexing to the second information location from which the input field is generated, the index including the one or more search criteria and a set of one or more associated parameters, and the set of one or more associated parameters including at least one parameter variable corresponding to the at least one input field. 9. The method of claim 4 , wherein at least one of the first and second locations is a city. | 0.871866 |
8,370,278 | 2 | 3 | 2. The one or more computer-readable storage media of claim 1 , wherein the method further comprises parsing the one or more documents to identify a plurality of sentences, and analyzing the plurality of sentences to identify important sentences, wherein the entities and relationships are extracted from the important sentences. | 2. The one or more computer-readable storage media of claim 1 , wherein the method further comprises parsing the one or more documents to identify a plurality of sentences, and analyzing the plurality of sentences to identify important sentences, wherein the entities and relationships are extracted from the important sentences. 3. The one or more computer-readable storage media of claim 2 , wherein the important sentences are identified by analyzing the frequency with which words appear in each sentence of the one or more documents. | 0.62724 |
8,600,968 | 14 | 15 | 14. A computerized method carried out by a search engine running on a processor for discovering at least one recommended website that satisfies a user's search intents, the method comprising: recognizing the user has navigated a current website during an ongoing search session; accessing a set of websites the user has visited immediately prior to navigating to the current website during the ongoing search session; generating a sequence of websites comprising the current website and one or more websites of the set of websites; accessing strings of websites from a log of browser history to identify one or more strings of websites that match the sequence of websites, wherein each website string contains a candidate website; ranking the one or more strings of websites as a function of how frequently a respective string appears within the browser history within a predefined time frame; identifying one or more candidate websites included within the one or more strings of websites that are highest ranked; and presenting to the user the one or more highest-ranked candidate websites. | 14. A computerized method carried out by a search engine running on a processor for discovering at least one recommended website that satisfies a user's search intents, the method comprising: recognizing the user has navigated a current website during an ongoing search session; accessing a set of websites the user has visited immediately prior to navigating to the current website during the ongoing search session; generating a sequence of websites comprising the current website and one or more websites of the set of websites; accessing strings of websites from a log of browser history to identify one or more strings of websites that match the sequence of websites, wherein each website string contains a candidate website; ranking the one or more strings of websites as a function of how frequently a respective string appears within the browser history within a predefined time frame; identifying one or more candidate websites included within the one or more strings of websites that are highest ranked; and presenting to the user the one or more highest-ranked candidate websites. 15. The method of claim 14 , wherein the log of browser history is collected from a profile of the user. | 0.87822 |
8,446,368 | 6 | 8 | 6. The input apparatus according to claim 1 , wherein when the inputted character string includes a kanji or a kana character after confirmation and the input to the key of the input unit is determined as the second input mode by the input mode determination unit, the input control unit searches, among the inputted character string displayed on the display unit, kana characters corresponding to the kana characters assigned to the key as the correction character candidates. | 6. The input apparatus according to claim 1 , wherein when the inputted character string includes a kanji or a kana character after confirmation and the input to the key of the input unit is determined as the second input mode by the input mode determination unit, the input control unit searches, among the inputted character string displayed on the display unit, kana characters corresponding to the kana characters assigned to the key as the correction character candidates. 8. The input apparatus according to claim 6 , further comprising a storage unit for storing history of kana characters used to input the character string, wherein the input control unit further searches, among the inputted character string displayed on the display unit, a kanji having phonetic kana characters starting from a kana character assigned to the key as a correction character candidate from the storage unit, and based on the history of kana characters used to input the character string stored in the storage unit, controls so that a correction character candidate onto which the cursor is moved based on the second input mode is returned to kana characters before confirmation and is displayed on the display unit in an editable manner. | 0.593716 |
9,128,985 | 1 | 4 | 1. A computer implemented method, comprising: receiving raw data at a computing device; parsing the raw data into event records by determining event boundaries in the raw data, wherein each of the event records includes a portion of the raw data and is associated with a time derived from the raw data; storing the event records in an indexed data store; generating a summarization table that: identifies one or more field values, wherein a field value comprises a value that appears in an associated field in one or more of the event records in the indexed data store; and for each field value, identifies a set of one or more event records in the indexed data store that contain the field value for the associated field; receiving a query that includes search criteria for evaluating field values for one or more fields; using the search criteria to evaluate field values for one or more fields in the summarization table to generate a preliminary result set; determining that the query cannot be answered fully by the summarization table by determining that the indexed data store includes event records that have not been processed for inclusion in the summarization table; and based on determining that the indexed data store includes event records that have not been processed for inclusion in the summarization table: using the search criteria to identify supplemental event records in the indexed data store that satisfy the search criteria and that have not been processed for inclusion in the summarization table; generating a query result using the preliminary result set from the summarization table and the supplemental event records; and causing display of the query result or transmitting the query result to a second computing device for further processing and output. | 1. A computer implemented method, comprising: receiving raw data at a computing device; parsing the raw data into event records by determining event boundaries in the raw data, wherein each of the event records includes a portion of the raw data and is associated with a time derived from the raw data; storing the event records in an indexed data store; generating a summarization table that: identifies one or more field values, wherein a field value comprises a value that appears in an associated field in one or more of the event records in the indexed data store; and for each field value, identifies a set of one or more event records in the indexed data store that contain the field value for the associated field; receiving a query that includes search criteria for evaluating field values for one or more fields; using the search criteria to evaluate field values for one or more fields in the summarization table to generate a preliminary result set; determining that the query cannot be answered fully by the summarization table by determining that the indexed data store includes event records that have not been processed for inclusion in the summarization table; and based on determining that the indexed data store includes event records that have not been processed for inclusion in the summarization table: using the search criteria to identify supplemental event records in the indexed data store that satisfy the search criteria and that have not been processed for inclusion in the summarization table; generating a query result using the preliminary result set from the summarization table and the supplemental event records; and causing display of the query result or transmitting the query result to a second computing device for further processing and output. 4. The method of claim 1 , further comprising receiving a command identifying fields to include in the summarization table. | 0.75 |
8,762,827 | 7 | 12 | 7. A non-transitory computer-readable storage medium having stored thereon instructions that cause one or more processors to create documentation, the instructions comprising: instructions that cause the one or more processors to store in a data store a plurality of document schemas, each document schema corresponding to a topic of a writing pattern provided by an authoring tool as a guide for a writer to author at least a portion of a document, each of the document schemas comprising a plurality of elements corresponding to a plurality of components of the writing pattern each writing pattern is associated with several of distinct topic types, the topic types including at least one of questions for answering business-use and system-constraint questions about a task or function, conceptual information, examples of how to achieve a specific result, or definitions of at least one of application-specific words, phrases, or common business terms that have specific meaning, each component of the plurality of components corresponds to at least a portion of a document; instructions that cause the one or more processors to: for each document of a plurality of documents: receive user selection of a component of a particular writing pattern corresponding to a visual element of a visual representation of a corresponding document schema, the visual representation including a plurality of graphic pairs each having an opening graphic and a closing graphic; receive user input representative of content for the selected component corresponding to the selected visual element; and add information corresponding to the user input to the document according to the corresponding document schema; and instructions that cause the one or more processors to associate the added information from the plurality of documents together in a document collection. | 7. A non-transitory computer-readable storage medium having stored thereon instructions that cause one or more processors to create documentation, the instructions comprising: instructions that cause the one or more processors to store in a data store a plurality of document schemas, each document schema corresponding to a topic of a writing pattern provided by an authoring tool as a guide for a writer to author at least a portion of a document, each of the document schemas comprising a plurality of elements corresponding to a plurality of components of the writing pattern each writing pattern is associated with several of distinct topic types, the topic types including at least one of questions for answering business-use and system-constraint questions about a task or function, conceptual information, examples of how to achieve a specific result, or definitions of at least one of application-specific words, phrases, or common business terms that have specific meaning, each component of the plurality of components corresponds to at least a portion of a document; instructions that cause the one or more processors to: for each document of a plurality of documents: receive user selection of a component of a particular writing pattern corresponding to a visual element of a visual representation of a corresponding document schema, the visual representation including a plurality of graphic pairs each having an opening graphic and a closing graphic; receive user input representative of content for the selected component corresponding to the selected visual element; and add information corresponding to the user input to the document according to the corresponding document schema; and instructions that cause the one or more processors to associate the added information from the plurality of documents together in a document collection. 12. The computer readable storage medium of claim 7 , wherein the instructions that cause the one or more processors to associate the information include instructions that cause the one or more processors to collect a plurality of hyperlinks to corresponding documents of the document collection. | 0.702811 |
9,183,436 | 9 | 16 | 9. A system comprising: a computer processor; an object classifier operable on said processor, said object classifier that: receives a set of text documents and identifies a common object to classify, said common object being comprised in each of said text documents; identifies 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, the subset of text being classified based on a determination of a measure of proximity to the common object; trains a classifier using said training set; and classifies said text within said text document using said classifier to identify a group of text associated with said object. | 9. A system comprising: a computer processor; an object classifier operable on said processor, said object classifier that: receives a set of text documents and identifies a common object to classify, said common object being comprised in each of said text documents; identifies 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, the subset of text being classified based on a determination of a measure of proximity to the common object; trains a classifier using said training set; and classifies said text within said text document using said classifier to identify a group of text associated with said object. 16. The system of claim 9 , wherein at least some of said text documents include HyperText Markup Language (HTML) documents. | 0.856813 |
8,286,136 | 1 | 5 | 1. An apparatus for testing software with internationalization software supporting a plurality of languages comprising: a reading unit configured to read data from an externalized resource file written in a first language; a generating unit configured to generate a test resource file written in a second language from the externalized resource file by converting characters of the first language contained in the data into characters of the second language with reference to a conversion table in which the characters of the first language are associated one-for-one with the characters of the second language; a code creation unit configured to create character codes for representing the characters of the first language and the characters of the second language; a mapping unit configured to create mapping between the first language and the second language such that the number of character codes for the second language is greater than the number of character codes for the first language; an extracting unit configured to extract a key attached to a character string from an item read from the externalized resource file, and to assign the extracted key to a variable key; a writing unit configured to write the variable key to the test resource file; an assigning unit configured to assign variables to each of the characters in the character string and to compare each of the characters in the character string with a string boundary character; an execution unit configured to execute the internationalization software; and a testing unit configured to test output information including character codes outputted from the internationalization software and displayed on a display screen with one of a plurality of fonts prepared for each test category of the internationalization software; a classification unit which classifies the character codes included in the output information to one of three groups: a first group composed of a plurality of character codes corresponding to a first plurality of characters for the first language, which are not supposed to be included in the output information; a second group composed of a second plurality of character codes corresponding to the characters for the second language included in the conversion table, which are supposed to be included in the output information; and a third group composed of a plurality of character codes not corresponding to any of the first plurality of characters for the first language and the second plurality of characters for the second language included in the conversion table, and which are not supposed to be included in the output information, a character string confirmation unit for the test categories which confirms character strings included in the externalized resource file, and the plurality of fonts except for fonts used for the character string confirmation relate a first same character shape or a plurality of different character shapes to the character codes included in any one group of the first to the third groups, which are test objects in corresponding test items, respectively, and, relate a second same character shape, which is different from the first same character shape to character codes included in any remaining two groups of the first to the third groups, respectively, and a character code that is a test object and the other character codes are distinguishable on the display of the output information using the fonts. | 1. An apparatus for testing software with internationalization software supporting a plurality of languages comprising: a reading unit configured to read data from an externalized resource file written in a first language; a generating unit configured to generate a test resource file written in a second language from the externalized resource file by converting characters of the first language contained in the data into characters of the second language with reference to a conversion table in which the characters of the first language are associated one-for-one with the characters of the second language; a code creation unit configured to create character codes for representing the characters of the first language and the characters of the second language; a mapping unit configured to create mapping between the first language and the second language such that the number of character codes for the second language is greater than the number of character codes for the first language; an extracting unit configured to extract a key attached to a character string from an item read from the externalized resource file, and to assign the extracted key to a variable key; a writing unit configured to write the variable key to the test resource file; an assigning unit configured to assign variables to each of the characters in the character string and to compare each of the characters in the character string with a string boundary character; an execution unit configured to execute the internationalization software; and a testing unit configured to test output information including character codes outputted from the internationalization software and displayed on a display screen with one of a plurality of fonts prepared for each test category of the internationalization software; a classification unit which classifies the character codes included in the output information to one of three groups: a first group composed of a plurality of character codes corresponding to a first plurality of characters for the first language, which are not supposed to be included in the output information; a second group composed of a second plurality of character codes corresponding to the characters for the second language included in the conversion table, which are supposed to be included in the output information; and a third group composed of a plurality of character codes not corresponding to any of the first plurality of characters for the first language and the second plurality of characters for the second language included in the conversion table, and which are not supposed to be included in the output information, a character string confirmation unit for the test categories which confirms character strings included in the externalized resource file, and the plurality of fonts except for fonts used for the character string confirmation relate a first same character shape or a plurality of different character shapes to the character codes included in any one group of the first to the third groups, which are test objects in corresponding test items, respectively, and, relate a second same character shape, which is different from the first same character shape to character codes included in any remaining two groups of the first to the third groups, respectively, and a character code that is a test object and the other character codes are distinguishable on the display of the output information using the fonts. 5. The method according to claim 1 , wherein the test categories include a determination of displayability of the characters specific to the second language, and in a font used for the determination of displayability, the third group corresponds to the group of the test objects, and the character codes of the third group are each associated with a same character shape. | 0.658379 |
9,214,154 | 1 | 4 | 1. A method comprising: receiving, from a sender, a textual message generated by a spoken dialog system; selecting, via a processor and based on voice characteristics of the sender and the sender speaking a particular set of lines, a speech template from a plurality of speech templates, the speech template comprising information representing characteristics of an individual's voice, wherein each speech template in the plurality of speech templates is personalized to the individual and in a distinct language from other speech templates in the plurality of speech templates; accessing pre-recorded speech from storage corresponding to a first portion of the textual message; generating variable speech corresponding to a second portion of the textual message; and merging the pre-recorded speech and the variable speech in an order defined by the speech template. | 1. A method comprising: receiving, from a sender, a textual message generated by a spoken dialog system; selecting, via a processor and based on voice characteristics of the sender and the sender speaking a particular set of lines, a speech template from a plurality of speech templates, the speech template comprising information representing characteristics of an individual's voice, wherein each speech template in the plurality of speech templates is personalized to the individual and in a distinct language from other speech templates in the plurality of speech templates; accessing pre-recorded speech from storage corresponding to a first portion of the textual message; generating variable speech corresponding to a second portion of the textual message; and merging the pre-recorded speech and the variable speech in an order defined by the speech template. 4. The method of claim 1 , wherein: accessing the pre-recorded speech is based on an attribute of the sender, and wherein each of a plurality of speech segments of the pre-recorded speech has characteristics of a unique individual's voice. | 0.5 |
8,214,242 | 1 | 3 | 1. A method of signaling correspondence between a meeting agenda and a meeting discussion, by a signaling module executing on a device, the method comprising: receiving a meeting agenda specifying one or more topics for a meeting; analyzing, for each topic, one or more documents to identify topic keywords for that topic; receiving, by an automated speech recognition engine, meeting discussions among participants for the meeting, wherein said receiving the meeting discussions among participants for the meeting comprises receiving voice utterances for the meeting of participants; generating, by the automated speech recognition engine, a textual representation of the meeting discussions in a current meeting transcription; identifying a current topic for the meeting in dependence upon the meeting agenda; tracking a frequency at which the topic keywords for the current topic appear in the current meeting transcription; determining a correspondence indicator in dependence upon the tracked frequency at which the topic keywords for the current topic appear in the current meeting transcription, the correspondence indicator specifying the correspondence between the meeting agenda and the meeting discussion; and rendering the correspondence indicator to the participants of the meeting. | 1. A method of signaling correspondence between a meeting agenda and a meeting discussion, by a signaling module executing on a device, the method comprising: receiving a meeting agenda specifying one or more topics for a meeting; analyzing, for each topic, one or more documents to identify topic keywords for that topic; receiving, by an automated speech recognition engine, meeting discussions among participants for the meeting, wherein said receiving the meeting discussions among participants for the meeting comprises receiving voice utterances for the meeting of participants; generating, by the automated speech recognition engine, a textual representation of the meeting discussions in a current meeting transcription; identifying a current topic for the meeting in dependence upon the meeting agenda; tracking a frequency at which the topic keywords for the current topic appear in the current meeting transcription; determining a correspondence indicator in dependence upon the tracked frequency at which the topic keywords for the current topic appear in the current meeting transcription, the correspondence indicator specifying the correspondence between the meeting agenda and the meeting discussion; and rendering the correspondence indicator to the participants of the meeting. 3. The method of claim 1 further comprising: identifying the topics of the meeting agenda that were discussed during the meeting; identifying the topics of the meeting agenda that were not discussed during the meeting; and generating a report that specifies the topics of the meeting agenda that were discussed during the meeting and the topics of the meeting agenda that were not discussed during the meeting. | 0.674603 |
9,996,628 | 1 | 19 | 1. A computer system for providing audio-activated resource access for user devices, the computer system comprising: a processor; and a memory coupled to the processor, the memory storing instructions to cause the processor to perform operations comprising: capturing audio at a user device; determining a geographic location of the user device; loading a speaker recognition program from a non-volatile computer-readable medium on the user device; analyzing the audio that is captured by the speaker recognition program; determining an identity of speaker that produced the audio based on a speaker voiceprint; transmitting, over a network, an identifier of the speaker of the captured audio identified by the speaker recognition program and the geographic location of the user device to a resource provider server system that is separate from the speaker recognition program to determine a corresponding geographic specific resource based on the geographic location of the user device and a pre-registered speaker identity to resource pairing identifier stored at the resource provider server system; receiving the corresponding geographic specific resource from the resource provider server system, wherein the corresponding geographic specific resource comprises at least one of a Uniform Resource Locator (URL), a Uniform Resource Identifier (URI), a Uniform Resource Number (URN), a domain name, or an Internet Protocol (IP) address, a hostname, Media Access Control (MAC) addresses, Ethernet Hardware Address (EHA) addresses, Bluetooth addresses, an International Mobile Subscriber Identity (IMSI), a subscriber identity module, subscriber identification module (SIM), a Removable User Identity Module (R-UIM), an Internet eXchange (IPX), or X.25, BLNA; and activating, by the processor, an application to cause a web browser to navigate to a web page based on the corresponding geographic specific resource that is based on the pre-registered speaker identity to resource pairing identifier. | 1. A computer system for providing audio-activated resource access for user devices, the computer system comprising: a processor; and a memory coupled to the processor, the memory storing instructions to cause the processor to perform operations comprising: capturing audio at a user device; determining a geographic location of the user device; loading a speaker recognition program from a non-volatile computer-readable medium on the user device; analyzing the audio that is captured by the speaker recognition program; determining an identity of speaker that produced the audio based on a speaker voiceprint; transmitting, over a network, an identifier of the speaker of the captured audio identified by the speaker recognition program and the geographic location of the user device to a resource provider server system that is separate from the speaker recognition program to determine a corresponding geographic specific resource based on the geographic location of the user device and a pre-registered speaker identity to resource pairing identifier stored at the resource provider server system; receiving the corresponding geographic specific resource from the resource provider server system, wherein the corresponding geographic specific resource comprises at least one of a Uniform Resource Locator (URL), a Uniform Resource Identifier (URI), a Uniform Resource Number (URN), a domain name, or an Internet Protocol (IP) address, a hostname, Media Access Control (MAC) addresses, Ethernet Hardware Address (EHA) addresses, Bluetooth addresses, an International Mobile Subscriber Identity (IMSI), a subscriber identity module, subscriber identification module (SIM), a Removable User Identity Module (R-UIM), an Internet eXchange (IPX), or X.25, BLNA; and activating, by the processor, an application to cause a web browser to navigate to a web page based on the corresponding geographic specific resource that is based on the pre-registered speaker identity to resource pairing identifier. 19. The computer system of claim 1 , wherein receiving the corresponding geographic specific resource causes storing data associated with the corresponding resource. | 0.730392 |
9,485,525 | 12 | 14 | 12. The system of claim 9 , wherein the measurement engine is further configured for: receiving a second identification of closed captioning data received by a second capture device; and adding the second identification of closed captioning data to the database. | 12. The system of claim 9 , wherein the measurement engine is further configured for: receiving a second identification of closed captioning data received by a second capture device; and adding the second identification of closed captioning data to the database. 14. The system of claim 12 , wherein the measurement engine is further configured for calculating a result of a hash function of the first identification of closed captioning data, and identifying, within the database, an entry identifying an item of content at an index corresponding to the calculated hash function result, the index equal to a result of a hash function of the second identification of closed captioning data. | 0.5 |
9,104,657 | 1 | 6 | 1. A method for locating a genome pattern, comprising: creating, using a processor of a computer, one or more lexical annotators that each identify a sequence of nucleotides of nucleotide bases selected from A, C, G, and T; providing (1) the one or more lexical annotators, (2) one or more dictionary entries, (3) one or more previously-defined parsing rule annotators, and (4) one or more characters that each represent a nucleotide; creating a parsing rule annotator that identifies an order of and a combination of at least two elements selected from (1) the one or more lexical annotators, (2) the one or more dictionary entries, (3) the one or more previously-defined parsing rule annotators, and (4) the one or more characters that each represent a nucleotide; and creating an Unstructured Information Management Architecture (UIMA) pipeline to locate the genome pattern using the parsing rule annotator by: in a first stage of the UIMA pipeline, parsing a genetic sequence that is found in a Common Analysis Structure (CAS) to determine a language used and to generate tokens that are added to the CAS with a start position and an end position for each of the tokens; in a second stage of the UIMA pipeline, executing the one or more lexical annotators against the genetic sequence to identify one or more lexical annotations that are added to the CAS with a start position and an end position for each of the one or more lexical annotations; and in a third stage of the UIMA pipeline, using the start position and the end position for each of the tokens and the start position and the end position for each of the one or more lexical annotations to identify a match to the parsing rule annotation and to form a new annotation that is added to the CAS. | 1. A method for locating a genome pattern, comprising: creating, using a processor of a computer, one or more lexical annotators that each identify a sequence of nucleotides of nucleotide bases selected from A, C, G, and T; providing (1) the one or more lexical annotators, (2) one or more dictionary entries, (3) one or more previously-defined parsing rule annotators, and (4) one or more characters that each represent a nucleotide; creating a parsing rule annotator that identifies an order of and a combination of at least two elements selected from (1) the one or more lexical annotators, (2) the one or more dictionary entries, (3) the one or more previously-defined parsing rule annotators, and (4) the one or more characters that each represent a nucleotide; and creating an Unstructured Information Management Architecture (UIMA) pipeline to locate the genome pattern using the parsing rule annotator by: in a first stage of the UIMA pipeline, parsing a genetic sequence that is found in a Common Analysis Structure (CAS) to determine a language used and to generate tokens that are added to the CAS with a start position and an end position for each of the tokens; in a second stage of the UIMA pipeline, executing the one or more lexical annotators against the genetic sequence to identify one or more lexical annotations that are added to the CAS with a start position and an end position for each of the one or more lexical annotations; and in a third stage of the UIMA pipeline, using the start position and the end position for each of the tokens and the start position and the end position for each of the one or more lexical annotations to identify a match to the parsing rule annotation and to form a new annotation that is added to the CAS. 6. The method of claim 1 , further comprising: in response to determining that any token matches to a dictionary entry from the one or more dictionary entries, storing a new annotation in the CAS. | 0.5 |
9,247,015 | 17 | 20 | 17. The non-transitory machine readable medium of claim 16 , further comprising selecting the context from a plurality of contexts based on a relevance of the context to the member in comparison to a relevance of an additional context of the plurality of contexts to the member. | 17. The non-transitory machine readable medium of claim 16 , further comprising selecting the context from a plurality of contexts based on a relevance of the context to the member in comparison to a relevance of an additional context of the plurality of contexts to the member. 20. The non-transitory machine readable medium of claim 17 , wherein the selecting of the context from the plurality of contexts is further based on a plurality of interactions of connections of the member with respect to the topic. | 0.546875 |
7,496,834 | 31 | 32 | 31. The method of claim 28 , wherein said invalid first lower fragment is indicated to be invalid by an invalid attribute. | 31. The method of claim 28 , wherein said invalid first lower fragment is indicated to be invalid by an invalid attribute. 32. The method of claim 31 , wherein said invalid attribute is defined in said prescribed syntax. | 0.5 |
3,947,825 | 31 | 36 | 31. A method for generating in an information processing machine at least one abstract that is useful during information searching and retrieval procedures, comprising: 1. sensing by said machine information signals representative of information comprising individual words in a selected language, each word comprising one of more individual character; 2. developing in said machine, signals representative of characters in said system; 3. categorizing in said machine, selected ones only of the individual character signals into predefined character groups that are based on a probability distribution of the characters represented by said signals in the language selected; 4. maintaining an abstract count by said machine of the number of character signals categorized into each of said predefined character groups; and 5. storing said abstract count in said machine as an abstract of said information. | 31. A method for generating in an information processing machine at least one abstract that is useful during information searching and retrieval procedures, comprising: 1. sensing by said machine information signals representative of information comprising individual words in a selected language, each word comprising one of more individual character; 2. developing in said machine, signals representative of characters in said system; 3. categorizing in said machine, selected ones only of the individual character signals into predefined character groups that are based on a probability distribution of the characters represented by said signals in the language selected; 4. maintaining an abstract count by said machine of the number of character signals categorized into each of said predefined character groups; and 5. storing said abstract count in said machine as an abstract of said information. 36. The method of claim 31 where step (3) further comprises: 3a. categorizing in said machine the selected character signals into said character groups based on the physical location of the related characters, such as first and third character locations of each word. | 0.866633 |
9,710,843 | 1 | 16 | 1. A computer-based recommendation system for generating recommendations of unique items, the recommendation system comprising: one or more computer readable storage devices configured to store: a plurality of computer executable instructions; an items information database containing data relating to a plurality of unique items; one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the computer system to: receive an input from a user that comprises user-expressed preferences associated with the plurality of unique items; calculate a customization score for each unique item in the plurality of unique items, the customization score at least partially based on at least one customization attribute associated with that unique item; calculate a condition score for each unique item in the plurality of unique items, the condition score at least partially based on at least one condition attribute associated with that unique item; generate a dissimilarity penalty for each unique item in the plurality of unique items by combining the customization score and the condition score for that unique item, the dissimilarity penalty at least partially generated based on a magnitude of dissimilarity between the unique item and the user-expressed preferences; and generate a recommendation of unique items by ranking at least a portion of the plurality of the unique items based at least partially on the calculated dissimilarity penalties. | 1. A computer-based recommendation system for generating recommendations of unique items, the recommendation system comprising: one or more computer readable storage devices configured to store: a plurality of computer executable instructions; an items information database containing data relating to a plurality of unique items; one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the computer system to: receive an input from a user that comprises user-expressed preferences associated with the plurality of unique items; calculate a customization score for each unique item in the plurality of unique items, the customization score at least partially based on at least one customization attribute associated with that unique item; calculate a condition score for each unique item in the plurality of unique items, the condition score at least partially based on at least one condition attribute associated with that unique item; generate a dissimilarity penalty for each unique item in the plurality of unique items by combining the customization score and the condition score for that unique item, the dissimilarity penalty at least partially generated based on a magnitude of dissimilarity between the unique item and the user-expressed preferences; and generate a recommendation of unique items by ranking at least a portion of the plurality of the unique items based at least partially on the calculated dissimilarity penalties. 16. The computer-based recommendation system of claim 1 , wherein the one or more hardware computer processors are further configured to execute the plurality of computer executable instructions in order to cause the computer system to: calculate a probability score for each unique item in the plurality of unique items, the probability score at least partially based on a probability that the user will be interested in that unique item based on the user-expressed preferences; and wherein the dissimilarity penalty for each unique item is at least partially generated based on combining that unique item's probability score, customization score and condition score. | 0.5 |
10,102,093 | 1 | 2 | 1. A hardware processor-implemented method for facilitating an operation of a device, the method being performed by one or more hardware processors, comprising: receiving an indication of an operation problem for a first device; acquiring historical operation data of a plurality of devices including the first device, the historical operation data including structured data and unstructured data; determining at least a list of first entities and a list of second entities based on the structured data; determining, based on the structured and unstructured data, a frequency of association between each of the first entities and each of the second entities; determining, based on the frequency of association, a set of entity associations, each entity association including at least one of the first entities and at least one of the second entities; determining one or more relationships between each of the entity associations, based on: determination of a degree of association associated with a relationship between each of the entity associations and a direction associated with the relationship, wherein the direction reflects a causality relationship; and determination of a hypothesis for a reason for the operation problem based on a resultant matrix obtained by matrix manipulation of an adjacency matrix, wherein the adjacency matrix is determined based on the degree of association and the direction; and determining, based on the one or more determined relationships, an operation solution to solve the operation problem. | 1. A hardware processor-implemented method for facilitating an operation of a device, the method being performed by one or more hardware processors, comprising: receiving an indication of an operation problem for a first device; acquiring historical operation data of a plurality of devices including the first device, the historical operation data including structured data and unstructured data; determining at least a list of first entities and a list of second entities based on the structured data; determining, based on the structured and unstructured data, a frequency of association between each of the first entities and each of the second entities; determining, based on the frequency of association, a set of entity associations, each entity association including at least one of the first entities and at least one of the second entities; determining one or more relationships between each of the entity associations, based on: determination of a degree of association associated with a relationship between each of the entity associations and a direction associated with the relationship, wherein the direction reflects a causality relationship; and determination of a hypothesis for a reason for the operation problem based on a resultant matrix obtained by matrix manipulation of an adjacency matrix, wherein the adjacency matrix is determined based on the degree of association and the direction; and determining, based on the one or more determined relationships, an operation solution to solve the operation problem. 2. The method of claim 1 , wherein the structured data include a set of discrete data that are associated with specific fields configured to provide one or more meanings for the set of discrete data; wherein the first and second entities include the set of discrete data. | 0.698218 |
10,102,860 | 4 | 5 | 4. The method of claim 1 , wherein the step of determining a plurality of possible common phrases further comprises finding alternative phrases for each of the plurality of possible common phrases. | 4. The method of claim 1 , wherein the step of determining a plurality of possible common phrases further comprises finding alternative phrases for each of the plurality of possible common phrases. 5. The method of claim 4 , wherein finding alternative phrases further comprises comparing a first possible common phrases, and a second possible common phrase to determine if there is overlap there between. | 0.5 |
9,201,965 | 13 | 15 | 13. An apparatus, comprising: a memory element configured to store data; a processor operable to execute instructions associated with the data; a network sensor configured to interface with the memory element and the processor, the network sensor being configured to: receive data propagating in a network environment; ignore Joint Photographic Experts Group (JPEG) documents in the data; identify an audio and video media file in the data, wherein the audio and video media file is associated with a plurality of individuals; generate a text file based on the audio and video media file; compare the text file to a plurality of blacklisted words; drop the text file if a blacklisted word is found in the text file; identify selected words within the text file based on a whitelist to create a first word list; compare the selected words in the first word list to a personal vocabulary database associated with an individual from the plurality of individuals, wherein the personal vocabulary database associated with the individual includes one or more words that the individual added to the personal vocabulary database, and wherein words in the personal vocabulary database associated with the individual may be marked as private; and remove from the first word list one or more of the selected words to create a second word list based on the selected words not being found in the personal vocabulary database associated with the individual, wherein the second word list includes fewer words then the first word list, wherein at least one of the selected words that is removed is associated with a false positive from two words that phonetically sound similar. | 13. An apparatus, comprising: a memory element configured to store data; a processor operable to execute instructions associated with the data; a network sensor configured to interface with the memory element and the processor, the network sensor being configured to: receive data propagating in a network environment; ignore Joint Photographic Experts Group (JPEG) documents in the data; identify an audio and video media file in the data, wherein the audio and video media file is associated with a plurality of individuals; generate a text file based on the audio and video media file; compare the text file to a plurality of blacklisted words; drop the text file if a blacklisted word is found in the text file; identify selected words within the text file based on a whitelist to create a first word list; compare the selected words in the first word list to a personal vocabulary database associated with an individual from the plurality of individuals, wherein the personal vocabulary database associated with the individual includes one or more words that the individual added to the personal vocabulary database, and wherein words in the personal vocabulary database associated with the individual may be marked as private; and remove from the first word list one or more of the selected words to create a second word list based on the selected words not being found in the personal vocabulary database associated with the individual, wherein the second word list includes fewer words then the first word list, wherein at least one of the selected words that is removed is associated with a false positive from two words that phonetically sound similar. 15. The apparatus of claim 13 , wherein the personal vocabulary database is associated with a personal vocabulary segment for the individual, and wherein the selected words that are tagged and not removed are added to the personal vocabulary segment. | 0.558304 |
7,886,223 | 5 | 6 | 5. The method according to claim 4 , further comprising designating a parent genuine node of said root node as a new root node once traversal through a merged type tree has been performed. | 5. The method according to claim 4 , further comprising designating a parent genuine node of said root node as a new root node once traversal through a merged type tree has been performed. 6. The method according to claim 5 wherein said designating of a new root node occurs when a non-genuine leaf node is located. | 0.5 |
8,112,426 | 19 | 23 | 19. A method performed by one or more server devices, the method comprising: determining, by one or more processors associated with the one or more server devices, a measure of how a content of a document changes over time, as a function of: an update frequency that is based on a number of updates of the content of the document in a time period, and an update amount that is based on a ratio of a quantity of new or unique pages associated with the document over a period of time versus a total quantity of pages associated with the document; generating, by one or more processors associated with the one or more server devices, a score for the document based on the measure of how the content of the document changes over time; and ranking, by one or more processors associated with the one or more server devices, the document with regard to at least one other document based on the score. | 19. A method performed by one or more server devices, the method comprising: determining, by one or more processors associated with the one or more server devices, a measure of how a content of a document changes over time, as a function of: an update frequency that is based on a number of updates of the content of the document in a time period, and an update amount that is based on a ratio of a quantity of new or unique pages associated with the document over a period of time versus a total quantity of pages associated with the document; generating, by one or more processors associated with the one or more server devices, a score for the document based on the measure of how the content of the document changes over time; and ranking, by one or more processors associated with the one or more server devices, the document with regard to at least one other document based on the score. 23. The method of claim 19 , where determining the measure of how the content of the document changes over time includes: monitoring the document, and not a representation of the document, for changes in the document. | 0.705163 |
8,751,273 | 5 | 6 | 5. The method of claim 1 , further comprising: receiving, by the computing system, a request to apply a variable transform to one or more of the variables in the subset of predictor variables. | 5. The method of claim 1 , further comprising: receiving, by the computing system, a request to apply a variable transform to one or more of the variables in the subset of predictor variables. 6. The method of claim 5 , wherein generating the predictive model comprises generating, by the computing system, the predictive model based on the request to apply the variable transform. | 0.5 |
8,917,853 | 12 | 13 | 12. A system for enhancing problem resolution at a call center based on speech recognition of a caller, comprising: a processor for executing a speech recognition module configured to receive an incoming call and generate call data of the incoming call, and the processor for executing a first module for associating annotated metadata about the call data with the call data; a storage module communicating with the processor for storing a historical record which includes the call data and the annotated metadata, the historical record storing solutions associated with the call data and the annotated metadata and indexing callers by issues identified by the call data and the annotated metadata; and the first module configured to generate context data for the incoming call by analyzing the historical record to identify: a caller, a topic, a date and a stress level of the caller, the first module further configured to compare the context data to historical records of previous calls, conduct a topic probabilities analysis by comparing the context data to the historical records of previous calls, assign a weight to each solution in the historical record based on likelihood of success derived from the annotated metadata, and determine a solution for the topic based on the probabilities analysis and further based on the assigned weight of each solution. | 12. A system for enhancing problem resolution at a call center based on speech recognition of a caller, comprising: a processor for executing a speech recognition module configured to receive an incoming call and generate call data of the incoming call, and the processor for executing a first module for associating annotated metadata about the call data with the call data; a storage module communicating with the processor for storing a historical record which includes the call data and the annotated metadata, the historical record storing solutions associated with the call data and the annotated metadata and indexing callers by issues identified by the call data and the annotated metadata; and the first module configured to generate context data for the incoming call by analyzing the historical record to identify: a caller, a topic, a date and a stress level of the caller, the first module further configured to compare the context data to historical records of previous calls, conduct a topic probabilities analysis by comparing the context data to the historical records of previous calls, assign a weight to each solution in the historical record based on likelihood of success derived from the annotated metadata, and determine a solution for the topic based on the probabilities analysis and further based on the assigned weight of each solution. 13. The system of claim 12 , wherein the first module further defines an attribute from the call data or the annotated metadata and assigns a weight to the attribute. | 0.716724 |
9,064,201 | 8 | 10 | 8. An information processing method that is executed by an information processing apparatus, comprising: receiving a document for variable printing and a job ticket including print settings, the print settings including a conditional print setting that depends on metadata included in the document; replacing, in the received document, information that is common between the conditional print setting and metadata included in the document with unique information, replacing in the received job ticket, a condition portion of the conditional print setting with the unique information, and deleting, in the received document, information that is not common between the conditional print setting and metadata included in the document such that the deleted information is removed from the received document; and instructing printing, using the conditional print setting and the document in which the common information is replaced with the unique information. | 8. An information processing method that is executed by an information processing apparatus, comprising: receiving a document for variable printing and a job ticket including print settings, the print settings including a conditional print setting that depends on metadata included in the document; replacing, in the received document, information that is common between the conditional print setting and metadata included in the document with unique information, replacing in the received job ticket, a condition portion of the conditional print setting with the unique information, and deleting, in the received document, information that is not common between the conditional print setting and metadata included in the document such that the deleted information is removed from the received document; and instructing printing, using the conditional print setting and the document in which the common information is replaced with the unique information. 10. The processing method according to claim 8 , further comprising allowing a user to designate whether to replace the metadata, wherein information that is common between the conditional print setting and metadata designated for replacement is replaced in the document with unique information. | 0.5 |
9,946,764 | 2 | 7 | 2. The method of claim 1 , further comprising: determining a plurality of the second set of relations between one or more pairs of terms in a plurality of candidate passages; and computing a justifying passage score for each of the candidate passages based on matching the first set of relations to each of the second set of relations per candidate passage, wherein aggregating the scores to produce the answer score further comprises aggregating the justifying passage score for each of the candidate passages. | 2. The method of claim 1 , further comprising: determining a plurality of the second set of relations between one or more pairs of terms in a plurality of candidate passages; and computing a justifying passage score for each of the candidate passages based on matching the first set of relations to each of the second set of relations per candidate passage, wherein aggregating the scores to produce the answer score further comprises aggregating the justifying passage score for each of the candidate passages. 7. The method of claim 2 , further comprising: computing a plurality of relation evidence scores for each of the first set of relations relative to the second set of relations for the candidate passages. | 0.667213 |
9,715,375 | 11 | 13 | 11. A computer program product comprising a computer-readable memory medium having program code embodied therewith, the program code executable by a computing device to: tokenize input source text to form a token stream having a plurality of tokens, wherein the input source text is organized in two or more divisions and includes a plurality of statements in a compiled program language and wherein each token has a location; partition the token stream into partitions by division and by statement, wherein partitioning by statement includes storing an entry representing each partition in a partition table and wherein partitioning by statement further includes scanning the token stream in reverse starting at a statement end; parse two or more of the partitions in parallel, wherein parsing the partitions in parallel includes building, for each statement partition, an annotated syntax tree (AST) to represent the statement, storing, for each symbol, an entry in a common symbol dictionary, and generating error messages corresponding to syntax errors detected while parsing the partitions; and traverse the common symbol dictionary to detect semantic errors; wherein the program code for scanning the token stream in reverse includes program code executable by the computing device to: determine, for each token, if the current token stream location is an explicit statement terminator and, if the current token stream location is an explicit statement terminator, storing the current token stream location as a latest end statement; determine, for each token, if the current token stream location is a period token and, if the current token stream location is a period token, noting the end of a statement; determine, for each token, if the current token stream location is the start of a statement and, if the current token stream location is the start of a statement, determining if a statement type associated with the statement has a corresponding explicit statement terminator; and if the statement type associated with the statement does not have a corresponding explicit statement terminator or the token stream location stored as the latest end statement has a statement type that is different than the statement type associated with the statement, use a token stream location associated with a period token as last token in the partition. | 11. A computer program product comprising a computer-readable memory medium having program code embodied therewith, the program code executable by a computing device to: tokenize input source text to form a token stream having a plurality of tokens, wherein the input source text is organized in two or more divisions and includes a plurality of statements in a compiled program language and wherein each token has a location; partition the token stream into partitions by division and by statement, wherein partitioning by statement includes storing an entry representing each partition in a partition table and wherein partitioning by statement further includes scanning the token stream in reverse starting at a statement end; parse two or more of the partitions in parallel, wherein parsing the partitions in parallel includes building, for each statement partition, an annotated syntax tree (AST) to represent the statement, storing, for each symbol, an entry in a common symbol dictionary, and generating error messages corresponding to syntax errors detected while parsing the partitions; and traverse the common symbol dictionary to detect semantic errors; wherein the program code for scanning the token stream in reverse includes program code executable by the computing device to: determine, for each token, if the current token stream location is an explicit statement terminator and, if the current token stream location is an explicit statement terminator, storing the current token stream location as a latest end statement; determine, for each token, if the current token stream location is a period token and, if the current token stream location is a period token, noting the end of a statement; determine, for each token, if the current token stream location is the start of a statement and, if the current token stream location is the start of a statement, determining if a statement type associated with the statement has a corresponding explicit statement terminator; and if the statement type associated with the statement does not have a corresponding explicit statement terminator or the token stream location stored as the latest end statement has a statement type that is different than the statement type associated with the statement, use a token stream location associated with a period token as last token in the partition. 13. The computer program product of claim 11 , wherein the program code is further executable by the computing device to traverse the ASTs as a function of the partition table and generating compiled program code. | 0.862581 |
7,673,234 | 31 | 32 | 31. A computer executable method for determining metadata to be assigned to a document, the method comprising: identifying a document to be published to a collection of documents organized according to a hierarchical taxonomy, wherein each of a plurality of documents included in the collection of documents is associated with one or more knowledge categories included in the hierarchical taxonomy; applying a trained text classifier to the identified document, wherein the trained text classifier identifies one or more recommended knowledge categories from the hierarchical taxonomy based on content of the identified document; presenting the one or more recommended knowledge categories to a user; enabling the user to expand at least one knowledge category included in the one or more recommended knowledge categories to present one or more related knowledge categories included in the hierarchical taxonomy, wherein the related knowledge categories include: one or more knowledge categories at a next more general level in the hierarchical taxonomy than the at least one knowledge category; and one or more knowledge categories at a next more specific level in the hierarchical taxonomy than the at least one knowledge category; enabling the user to make a selection of at least one selected knowledge category for the document from the one or more recommended knowledge categories and the one or more related knowledge categories; and assigning the at least one selected knowledge category as metadata in publishing the document to the collection of documents. | 31. A computer executable method for determining metadata to be assigned to a document, the method comprising: identifying a document to be published to a collection of documents organized according to a hierarchical taxonomy, wherein each of a plurality of documents included in the collection of documents is associated with one or more knowledge categories included in the hierarchical taxonomy; applying a trained text classifier to the identified document, wherein the trained text classifier identifies one or more recommended knowledge categories from the hierarchical taxonomy based on content of the identified document; presenting the one or more recommended knowledge categories to a user; enabling the user to expand at least one knowledge category included in the one or more recommended knowledge categories to present one or more related knowledge categories included in the hierarchical taxonomy, wherein the related knowledge categories include: one or more knowledge categories at a next more general level in the hierarchical taxonomy than the at least one knowledge category; and one or more knowledge categories at a next more specific level in the hierarchical taxonomy than the at least one knowledge category; enabling the user to make a selection of at least one selected knowledge category for the document from the one or more recommended knowledge categories and the one or more related knowledge categories; and assigning the at least one selected knowledge category as metadata in publishing the document to the collection of documents. 32. The computer executable method of claim 31 , further comprising enabling the user to expand the at least one knowledge category included in the recommended knowledge categories to present one or more non-hierarchically related knowledge categories. | 0.590909 |
9,652,695 | 19 | 20 | 19. A device comprising: a storage; and a processor configured to: obtain, for a first object in an image, a first set of text labels using visual data extracted from the image; obtain, for a second object in the image, a second set of text labels using the visual data extracted from the image; generate, for various pairs of text labels, a relation score based on a number of co-occurrences of the text labels in text of web pages, wherein each pair of text labels includes a text label from the first set and a text label from the second set; and label the image with a given pair of text labels, from among the various pairs of text labels, based on solving a global optimization problem utilizing at least the relation score, wherein the relation score for the given pair of text labels meets a specified threshold relation score. | 19. A device comprising: a storage; and a processor configured to: obtain, for a first object in an image, a first set of text labels using visual data extracted from the image; obtain, for a second object in the image, a second set of text labels using the visual data extracted from the image; generate, for various pairs of text labels, a relation score based on a number of co-occurrences of the text labels in text of web pages, wherein each pair of text labels includes a text label from the first set and a text label from the second set; and label the image with a given pair of text labels, from among the various pairs of text labels, based on solving a global optimization problem utilizing at least the relation score, wherein the relation score for the given pair of text labels meets a specified threshold relation score. 20. The device of claim 19 , wherein the relation score is generated using a co-occurrence machine learning model trained using a text corpus. | 0.743682 |
9,495,440 | 17 | 21 | 17. An apparatus comprising processing circuitry configured to cause the apparatus to perform at least: receiving an indication of a received file; queuing the received file into a file classifier queue; and processing a file from the file classifier queue by: a) determining at least one of a file type or a document type of the file from the file classifier queue; b) based on one or both of the file type or the document type, classifying the file from the file classifier queue as an unsupported file, an Optical Character Recognition (OCR) eligible file, or a Full Text Search (FTS) eligible file; c) in an instance in which the file from the file classifier queue is an OCR eligible file, queuing the OCR eligible file into an OCR queue for OCR processing; and d) in an instance in which the file from the file classifier queue is an FTS eligible file, queuing the FTS eligible file into a FTS queue for FTS indexing. | 17. An apparatus comprising processing circuitry configured to cause the apparatus to perform at least: receiving an indication of a received file; queuing the received file into a file classifier queue; and processing a file from the file classifier queue by: a) determining at least one of a file type or a document type of the file from the file classifier queue; b) based on one or both of the file type or the document type, classifying the file from the file classifier queue as an unsupported file, an Optical Character Recognition (OCR) eligible file, or a Full Text Search (FTS) eligible file; c) in an instance in which the file from the file classifier queue is an OCR eligible file, queuing the OCR eligible file into an OCR queue for OCR processing; and d) in an instance in which the file from the file classifier queue is an FTS eligible file, queuing the FTS eligible file into a FTS queue for FTS indexing. 21. The apparatus of claim 17 , wherein classifying the file from the file classifier queue as an OCR eligible file is based on a user configuration of the document type. | 0.873512 |
8,239,749 | 3 | 4 | 3. The method of claim 1 , further comprising responsive to the coded procedural command comprising a context command, retrieving a drawing object for performing the drawing command. | 3. The method of claim 1 , further comprising responsive to the coded procedural command comprising a context command, retrieving a drawing object for performing the drawing command. 4. The method of claim 3 , wherein the drawing object maintains a drawing state. | 0.5 |
7,840,033 | 10 | 14 | 10. A computer implemented method comprising: detecting by a computing device associated with an image input device, common text between a pair of individual images captured by the image input device; and combining the text from the pair of images into a file or data structure stored in the computing device when common text is detected; determining by the computing device that incomplete text phrases are present in the combined text from the pair of images at edge portions of either of the images, and if incomplete text phrases are present in the combined text from the pair of images, signaling with an indication of instructions to guide a user a user to move the image input device in a direction to capture more of the text, with the instructions to guide based at least in part on the incomplete text phrases that were determined to be present. | 10. A computer implemented method comprising: detecting by a computing device associated with an image input device, common text between a pair of individual images captured by the image input device; and combining the text from the pair of images into a file or data structure stored in the computing device when common text is detected; determining by the computing device that incomplete text phrases are present in the combined text from the pair of images at edge portions of either of the images, and if incomplete text phrases are present in the combined text from the pair of images, signaling with an indication of instructions to guide a user a user to move the image input device in a direction to capture more of the text, with the instructions to guide based at least in part on the incomplete text phrases that were determined to be present. 14. The method of claim 10 wherein determining incomplete text comprises: determining that text is very close to the edge of image. | 0.879374 |
10,146,417 | 14 | 17 | 14. A system implemented in a digital medium environment including a computing device configured to improve a user's document interaction, the system comprising: a processing system; one or more computer readable storage media; a document viewing application stored on the one or more computer readable storage media and executable by the processing system which, when executed, is configured to: receive a document that has been shared with multiple users that includes crowd-sourced information describing interaction patterns of the multiple users with the document, the crowd-sourced information including multiple collections of default settings or tools for use with the document; select a collection of default settings or tools from the multiple collections of default settings or tools based on device characteristics of the computing device; and automatically expose, via a user interface, one or more of settings or tools from the selected collection of default settings or tools. | 14. A system implemented in a digital medium environment including a computing device configured to improve a user's document interaction, the system comprising: a processing system; one or more computer readable storage media; a document viewing application stored on the one or more computer readable storage media and executable by the processing system which, when executed, is configured to: receive a document that has been shared with multiple users that includes crowd-sourced information describing interaction patterns of the multiple users with the document, the crowd-sourced information including multiple collections of default settings or tools for use with the document; select a collection of default settings or tools from the multiple collections of default settings or tools based on device characteristics of the computing device; and automatically expose, via a user interface, one or more of settings or tools from the selected collection of default settings or tools. 17. The system as described in claim 14 , wherein the document viewing application is configured to automatically expose the one or more of settings or tools at a content level. | 0.714516 |
7,478,142 | 18 | 19 | 18. The computer program product of claim 14 , wherein: the initial file comprises a source file for a web page, the instructions for initiating execution of the application from the initial file comprise instructions for rendering the web page, and the instructions that, when executed by the processor, cause the processor to automatically initiate execution of the application comprises instructions that, when executed by the processor, cause the processor to render the web page in accordance with the instructions for rendering the web page. | 18. The computer program product of claim 14 , wherein: the initial file comprises a source file for a web page, the instructions for initiating execution of the application from the initial file comprise instructions for rendering the web page, and the instructions that, when executed by the processor, cause the processor to automatically initiate execution of the application comprises instructions that, when executed by the processor, cause the processor to render the web page in accordance with the instructions for rendering the web page. 19. The computer program product of claim 18 wherein the source file for the web page comprises an HTML document. | 0.5 |
8,874,589 | 19 | 20 | 19. A computer-readable storage device having instructions thereon that cause one or more processors to perform operations, the operations comprising: receiving a first plurality of network device identifiers and characteristic data associated with network activity of each of the first plurality of network device identifiers; receiving a second plurality of network device identifiers that do not appear in the first plurality of network device identifiers and characteristic data associated with network activity of each of the second plurality of network device identifiers; calculating, for each network device of the second plurality of network device identifiers, a similarity score that represents a degree of similarity between the characteristic data for the network device identifier of the second plurality and the characteristic data for the network device identifiers of the first plurality; designating a performance target relating to a factor indicative of an interest in or usefulness of content placed on a webpage, the performance target used to identify a smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target; designating a threshold similarity score value selected as a starting value for determining a lowest similarity score value that is used to identify the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target; identifying a first number of network device identifiers from the second plurality that have similarity scores above the threshold similarity score value; receiving, for each of the identified network device identifiers of the second plurality that have a similarity score above the threshold similarity score value, performance statistics data corresponding to the factor related to the designated performance target; aggregating the performance statistics data of each of the identified network device identifiers to determine an aggregate performance statistics data; determining, from the aggregate performance statistics data, that the first number of network device identifiers is not the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target; iteratively adjusting, responsive to determining that the first number of network device identifiers is not the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target, the threshold similarity score value to identify the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target; and setting the adjusted threshold similarity score value to an experimental threshold similarity score value that represents the lowest similarity score value that identifies the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target. | 19. A computer-readable storage device having instructions thereon that cause one or more processors to perform operations, the operations comprising: receiving a first plurality of network device identifiers and characteristic data associated with network activity of each of the first plurality of network device identifiers; receiving a second plurality of network device identifiers that do not appear in the first plurality of network device identifiers and characteristic data associated with network activity of each of the second plurality of network device identifiers; calculating, for each network device of the second plurality of network device identifiers, a similarity score that represents a degree of similarity between the characteristic data for the network device identifier of the second plurality and the characteristic data for the network device identifiers of the first plurality; designating a performance target relating to a factor indicative of an interest in or usefulness of content placed on a webpage, the performance target used to identify a smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target; designating a threshold similarity score value selected as a starting value for determining a lowest similarity score value that is used to identify the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target; identifying a first number of network device identifiers from the second plurality that have similarity scores above the threshold similarity score value; receiving, for each of the identified network device identifiers of the second plurality that have a similarity score above the threshold similarity score value, performance statistics data corresponding to the factor related to the designated performance target; aggregating the performance statistics data of each of the identified network device identifiers to determine an aggregate performance statistics data; determining, from the aggregate performance statistics data, that the first number of network device identifiers is not the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target; iteratively adjusting, responsive to determining that the first number of network device identifiers is not the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target, the threshold similarity score value to identify the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target; and setting the adjusted threshold similarity score value to an experimental threshold similarity score value that represents the lowest similarity score value that identifies the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the designated performance target. 20. The computer-readable storage device of claim 19 , wherein the adjusting step comprises selecting a lowest similarity score that identifies the smallest number of network device identifiers of the second plurality of network device users that have performance statistics data relating to the factor, which when aggregated, achieves the performance target, as the experimental threshold value. | 0.5 |
7,720,845 | 1 | 13 | 1. A computer-implemented method, comprising: generating a first representation of a set of one or more documents of a plurality of documents, wherein the first representation represents a state of the set of one or more documents before at least one change is made to at least one document of said plurality of documents; after said at least one change is made to at least one document of said plurality of documents, performing the steps of: causing a currently-stale view or currently-stale count for at least one current query to be displayed on a user interface; wherein the currently-stale view or currently-stale count is based at least in part on a result set of at least one previously-executed query that was executed on said plurality of documents before said at least one change was made; generating a second representation of the set of one or more documents of the plurality of documents, wherein the second representation represents a state of the set of one or more documents after said at least one change was made, whereby said first representation and said second representation together represent at least all of the documents affected by said at least one change; comparing the first and second representations outputting an updated view or count by, to form a third representation that includes representations of differences between said first and second representations; while said currently-stale view or currently-stale count is displayed, on said user interface utilizing said third representation to update said currently-stale view or currently-stale count on said user interface to reflect said at least one change; wherein the step of comparing is performed by one or more processors. | 1. A computer-implemented method, comprising: generating a first representation of a set of one or more documents of a plurality of documents, wherein the first representation represents a state of the set of one or more documents before at least one change is made to at least one document of said plurality of documents; after said at least one change is made to at least one document of said plurality of documents, performing the steps of: causing a currently-stale view or currently-stale count for at least one current query to be displayed on a user interface; wherein the currently-stale view or currently-stale count is based at least in part on a result set of at least one previously-executed query that was executed on said plurality of documents before said at least one change was made; generating a second representation of the set of one or more documents of the plurality of documents, wherein the second representation represents a state of the set of one or more documents after said at least one change was made, whereby said first representation and said second representation together represent at least all of the documents affected by said at least one change; comparing the first and second representations outputting an updated view or count by, to form a third representation that includes representations of differences between said first and second representations; while said currently-stale view or currently-stale count is displayed, on said user interface utilizing said third representation to update said currently-stale view or currently-stale count on said user interface to reflect said at least one change; wherein the step of comparing is performed by one or more processors. 13. The computer-implemented method according to claim 1 , wherein said first and second representations include a mix of forward and inverted representations. | 0.779167 |
10,133,732 | 1 | 2 | 1. An automated method for generating an answer to an input question comprising a location specific (L) word or phrase using natural language processing (NLP), said method comprising: generating and maintaining, by a processor of a hardware device, an online L-word dictionary, wherein said generating and maintaining comprises: determining a relationship between a plurality of L-words and a plurality of corresponding values, wherein said plurality of corresponding values include a plurality of related lookup phrases and a plurality of concept terms; mapping said plurality of L-words to said plurality of corresponding values based on said determined relationship; and storing said mapped plurality of L-words to said plurality of corresponding values in said online L-word Dictionary comprised by a specialized remotely located database computer; retrieving, by said processor via circuitry of a mobile device of a user, location specific attributes associated with a current location of said mobile device and said user; retrieving, by said processor, location specific settings and location specific preferences associated with said user; receiving, by said processor, said input question, wherein said input question is entered by said user via a graphical user interface associated with said mobile device; executing, by said processor, an NLP analysis with respect to said input question to extract a required value phrase; generating, by said processor, at least one mathematical equation based on the extracted required value phrase, wherein said generating said at least one mathematical equation comprises: identifying said location specific word or phrase comprised by said received input question, wherein a value associated with said identified location specific word or phrase varies according to a particular geographical point, and wherein said identifying comprises communicating online with said specialized remotely located database computer to access said online L-word Dictionary; and resolving said identified location specific word or phrase comprised by said received input question, wherein said resolving comprises said communicating online with said specialized remotely located database computer to access said online L-Word Dictionary and recursively mapping a plurality of variables associated with said location specific word or phrase to at least one formula contained in said L-Word Dictionary; forming, by said processor, at least one interim question based on said extracted required value phrase; solving, by said processor executing specialized circuitry, said at least one formed mathematical equation and the at least one formed interim question, wherein said solving comprises prompting said user via said graphical user interface for a plurality of digital input to resolve an ambiguity associated with said at least one formed mathematical equation and said at least one formed interim question; determining, by said processor, said answer to said input question in natural language based on said solved at least one interim question or said solved at least one mathematical equation, wherein said determining said answer comprises said hardware device simultaneously interacting with a specialized on-line question-answer system to simultaneously search: an internet, a plurality of online data repositories, a plurality of online databases, and a plurality of online corpuses according to said value associated with said identified location specific word or phrase associated with said particular geographical point; and narrating, by said processor, said answer to said input question in natural language based on said solved at least one interim question or said solved at least one mathematical equation, wherein said narrated answer comprises an automated interactive response from said hardware device in real time. | 1. An automated method for generating an answer to an input question comprising a location specific (L) word or phrase using natural language processing (NLP), said method comprising: generating and maintaining, by a processor of a hardware device, an online L-word dictionary, wherein said generating and maintaining comprises: determining a relationship between a plurality of L-words and a plurality of corresponding values, wherein said plurality of corresponding values include a plurality of related lookup phrases and a plurality of concept terms; mapping said plurality of L-words to said plurality of corresponding values based on said determined relationship; and storing said mapped plurality of L-words to said plurality of corresponding values in said online L-word Dictionary comprised by a specialized remotely located database computer; retrieving, by said processor via circuitry of a mobile device of a user, location specific attributes associated with a current location of said mobile device and said user; retrieving, by said processor, location specific settings and location specific preferences associated with said user; receiving, by said processor, said input question, wherein said input question is entered by said user via a graphical user interface associated with said mobile device; executing, by said processor, an NLP analysis with respect to said input question to extract a required value phrase; generating, by said processor, at least one mathematical equation based on the extracted required value phrase, wherein said generating said at least one mathematical equation comprises: identifying said location specific word or phrase comprised by said received input question, wherein a value associated with said identified location specific word or phrase varies according to a particular geographical point, and wherein said identifying comprises communicating online with said specialized remotely located database computer to access said online L-word Dictionary; and resolving said identified location specific word or phrase comprised by said received input question, wherein said resolving comprises said communicating online with said specialized remotely located database computer to access said online L-Word Dictionary and recursively mapping a plurality of variables associated with said location specific word or phrase to at least one formula contained in said L-Word Dictionary; forming, by said processor, at least one interim question based on said extracted required value phrase; solving, by said processor executing specialized circuitry, said at least one formed mathematical equation and the at least one formed interim question, wherein said solving comprises prompting said user via said graphical user interface for a plurality of digital input to resolve an ambiguity associated with said at least one formed mathematical equation and said at least one formed interim question; determining, by said processor, said answer to said input question in natural language based on said solved at least one interim question or said solved at least one mathematical equation, wherein said determining said answer comprises said hardware device simultaneously interacting with a specialized on-line question-answer system to simultaneously search: an internet, a plurality of online data repositories, a plurality of online databases, and a plurality of online corpuses according to said value associated with said identified location specific word or phrase associated with said particular geographical point; and narrating, by said processor, said answer to said input question in natural language based on said solved at least one interim question or said solved at least one mathematical equation, wherein said narrated answer comprises an automated interactive response from said hardware device in real time. 2. The method of claim 1 , wherein said retrieving said location specific attributes comprises: identifying an IP address of said mobile device; determining a network in communication with said IP address; and determining said current location based on based on a location of said network. | 0.724237 |
10,061,860 | 8 | 9 | 8. A method implemented on a machine having at least one processor, storage, and a communication platform connected to a network, comprising steps of: analyzing, via a clustering engine running on one of the at least one processor of the machine, a plurality of user identifiers to cluster one or more users into a user group from a plurality of user groups based on their view distributions, wherein each view distribution corresponding to a particular user is determined with respect to each portion of each of a plurality of web pages viewed by the particular user within a given web browsing session and comprises a list of numbers each of which represents a number of times the particular user viewed a respective portion of the plurality of web pages, the web page viewing of the particular user being monitored such that the particular user is adaptively assigned to the user group, the adaptive assignment including detecting a change in the particular user's web page viewing and reassigning the particular user to a second user group; generating, via a template generation engine running on one of the at least one processor of the machine, a display template that specifies a layout of content for display of a plurality of pieces of content to one or more users of the user group, such that space on the display template prioritizes a web page portion that received most views per the view distribution, wherein the prioritization includes allocating more space for content provided at the web page portion; and arranging the plurality of pieces of content for display to the one or more users, wherein the arranging of the plurality of pieces of content is based on the user group assignment and according to the display template generated; determining statistics associated with a plurality of users in the user group to which the user is assigned; updating a record associated with a content provider in connection with the display template based on the statistics; and receiving a payment made in association with the display template and computed based on the record. | 8. A method implemented on a machine having at least one processor, storage, and a communication platform connected to a network, comprising steps of: analyzing, via a clustering engine running on one of the at least one processor of the machine, a plurality of user identifiers to cluster one or more users into a user group from a plurality of user groups based on their view distributions, wherein each view distribution corresponding to a particular user is determined with respect to each portion of each of a plurality of web pages viewed by the particular user within a given web browsing session and comprises a list of numbers each of which represents a number of times the particular user viewed a respective portion of the plurality of web pages, the web page viewing of the particular user being monitored such that the particular user is adaptively assigned to the user group, the adaptive assignment including detecting a change in the particular user's web page viewing and reassigning the particular user to a second user group; generating, via a template generation engine running on one of the at least one processor of the machine, a display template that specifies a layout of content for display of a plurality of pieces of content to one or more users of the user group, such that space on the display template prioritizes a web page portion that received most views per the view distribution, wherein the prioritization includes allocating more space for content provided at the web page portion; and arranging the plurality of pieces of content for display to the one or more users, wherein the arranging of the plurality of pieces of content is based on the user group assignment and according to the display template generated; determining statistics associated with a plurality of users in the user group to which the user is assigned; updating a record associated with a content provider in connection with the display template based on the statistics; and receiving a payment made in association with the display template and computed based on the record. 9. The method of claim 8 , further comprising: generating a second display template based on the reassignment; and updating the arrangement of the plurality of pieces of content on the user's display based on the second display template, and wherein the reassignment is responsive to the detection of the change in the user's web page viewing such that the second display template is generated that prioritizes the space to a different web page portion. | 0.5 |
8,315,597 | 2 | 3 | 2. The method of claim 1 wherein step B is performed by the cell phone to which said text message received in step A is directed using an on-board GLOBAL POSITIONING SATELLITE receiver with at least two location fixes and the time of those fixes being reported to a mobile switching center (MSC) or mobile telephone switching office (MTSO) of said cellular system via administrative or command and control or paging channels or whatever other channels are used in said cellular system for sending data from said cell phone to said MSC or MTSO. | 2. The method of claim 1 wherein step B is performed by the cell phone to which said text message received in step A is directed using an on-board GLOBAL POSITIONING SATELLITE receiver with at least two location fixes and the time of those fixes being reported to a mobile switching center (MSC) or mobile telephone switching office (MTSO) of said cellular system via administrative or command and control or paging channels or whatever other channels are used in said cellular system for sending data from said cell phone to said MSC or MTSO. 3. The method of claim 2 wherein steps C and D and E are performed by a computer in said MSC or MTSO. | 0.5 |
9,430,460 | 2 | 4 | 2. The system of claim 1 , the one or more processors further configured to: store user-selectable features; and present to the user an option to select one or more of the user-selectable features; wherein the one or more user-selected features include one or more features selected from among the user-selectable features. | 2. The system of claim 1 , the one or more processors further configured to: store user-selectable features; and present to the user an option to select one or more of the user-selectable features; wherein the one or more user-selected features include one or more features selected from among the user-selectable features. 4. The system of claim 2 , wherein the user-selectable features include features generated by a plurality of users. | 0.7125 |
8,849,791 | 14 | 17 | 14. The method of claim 12 , wherein a user associated with the client device provides an input that causes content rendered on the client device to be modified, and the method further comprises: receiving, via the at least one computing device, a representation of content rendered on a display of the client device; and updating, via the at least one computing device, the customer service agent user interface with a visual representation of a present state of the display on the client device, the present state corresponding to the content rendered on the display of the client device. | 14. The method of claim 12 , wherein a user associated with the client device provides an input that causes content rendered on the client device to be modified, and the method further comprises: receiving, via the at least one computing device, a representation of content rendered on a display of the client device; and updating, via the at least one computing device, the customer service agent user interface with a visual representation of a present state of the display on the client device, the present state corresponding to the content rendered on the display of the client device. 17. The method of claim 14 , further comprising: generating, via the at least one computing device, another input that would cause content rendered on the client device to be modified in response to selection of the other input by the customer service agent via the customer service agent user interface; generating, via the at least one computing device, a preview of the modified content in the customer service agent user interface; and pushing, via the at least one computing device, the other input to the client device. | 0.5 |
8,875,249 | 6 | 7 | 6. A non-transitory computer-readable storage medium storing instructions, the instructions which when executed by one or more processors cause the one or more processors to minimize storage time for security credentials for a secure crawl, the instructions comprising: instructions for initiating a crawl of a secure source; instructions for indexing a plurality of documents in an index which results from the crawling; instructions for examining, in response to initiating the crawl of the secure source, a setting for the secure source, the setting selected by an administrator or user to determine and specify whether the administrator or user has specified that the secure source requires security credentials including a temporary password for the secure source to be stored temporarily; instructions for determining, in response to examining the setting, that security credentials including the temporary password for the secure source are required to be stored temporarily, and instructions for prompting for security credentials including the temporary password at a time of the crawl based on determining that the administrator or user has specified that the secure source requires security credentials including the temporary password to be temporary; wherein the security credentials including the temporary password are associated with said administrator or user; instructions for writing the security credentials including the temporary password to temporary storage; instructions for crawling a plurality of documents obtained from the secure source using the security credentials including the temporary password, and indexing the plurality of documents; instructions for stamping, at the computer system, the plurality of documents with security credentials consistent with the identity of the administrator or user such that stamped documents are only available for search in the index by the administrator or user; instructions for retaining the security credentials including the temporary password until a final crawl when multiple crawls are initiated that utilize the security credentials including the temporary password; and instructions for deleting the security credentials including the temporary password from temporary storage when no longer needed for the crawling. | 6. A non-transitory computer-readable storage medium storing instructions, the instructions which when executed by one or more processors cause the one or more processors to minimize storage time for security credentials for a secure crawl, the instructions comprising: instructions for initiating a crawl of a secure source; instructions for indexing a plurality of documents in an index which results from the crawling; instructions for examining, in response to initiating the crawl of the secure source, a setting for the secure source, the setting selected by an administrator or user to determine and specify whether the administrator or user has specified that the secure source requires security credentials including a temporary password for the secure source to be stored temporarily; instructions for determining, in response to examining the setting, that security credentials including the temporary password for the secure source are required to be stored temporarily, and instructions for prompting for security credentials including the temporary password at a time of the crawl based on determining that the administrator or user has specified that the secure source requires security credentials including the temporary password to be temporary; wherein the security credentials including the temporary password are associated with said administrator or user; instructions for writing the security credentials including the temporary password to temporary storage; instructions for crawling a plurality of documents obtained from the secure source using the security credentials including the temporary password, and indexing the plurality of documents; instructions for stamping, at the computer system, the plurality of documents with security credentials consistent with the identity of the administrator or user such that stamped documents are only available for search in the index by the administrator or user; instructions for retaining the security credentials including the temporary password until a final crawl when multiple crawls are initiated that utilize the security credentials including the temporary password; and instructions for deleting the security credentials including the temporary password from temporary storage when no longer needed for the crawling. 7. The non-transitory computer-readable storage medium according to claim 6 , wherein: instructions for deleting the security credentials including the temporary password includes instructions for performing a callback at the end of the crawling. | 0.605769 |
8,868,420 | 1 | 4 | 1. A computer-implemented method comprising: receiving a first transcription comprising first text and second text, wherein the first transcription was created by transcribing first audio data using a speech recognition engine configured to filter the first transcription by automatically replacing one or more words with corresponding numbers or digits formatted as a telephone number; receiving a first value associated with the first text and a second value associated with the second text; and causing presentation of the first text with a first graphical element indicating the first value and presentation of the second text with a second graphical element indicating the second value. | 1. A computer-implemented method comprising: receiving a first transcription comprising first text and second text, wherein the first transcription was created by transcribing first audio data using a speech recognition engine configured to filter the first transcription by automatically replacing one or more words with corresponding numbers or digits formatted as a telephone number; receiving a first value associated with the first text and a second value associated with the second text; and causing presentation of the first text with a first graphical element indicating the first value and presentation of the second text with a second graphical element indicating the second value. 4. The computer-implemented method of claim 1 , wherein the first audio data comprises at least part of a voicemail message. | 0.814925 |
10,146,419 | 3 | 5 | 3. The system according to claim 2 wherein said at least one dynamic handle is a section elevator. | 3. The system according to claim 2 wherein said at least one dynamic handle is a section elevator. 5. The system according to claim 3 and also comprising UI runner to present said at least one section to said user with at least one of: said at least one dynamic handle and said least one said elevator on said at least one scroll bar of said at least one page. | 0.503802 |
7,483,940 | 7 | 10 | 7. A dynamic agent executed by a computer, comprising: an ontology switching module that causes document type descriptions (DTDs) and corresponding interpreters to be exchanged with another agent to implement different communication languages between the agents for different problem domains; wherein each DTD comprises a template by which a message transmitted between agents can be decoded, wherein the message is according to an XML format and includes XML tags for marking metadata associated with a domain from among a plurality of different domains. | 7. A dynamic agent executed by a computer, comprising: an ontology switching module that causes document type descriptions (DTDs) and corresponding interpreters to be exchanged with another agent to implement different communication languages between the agents for different problem domains; wherein each DTD comprises a template by which a message transmitted between agents can be decoded, wherein the message is according to an XML format and includes XML tags for marking metadata associated with a domain from among a plurality of different domains. 10. The dynamic agent of claim 7 wherein the loaded interpreter uses an associated parser to translate contents of the message according to the XML format into machine executable code. | 0.5 |
8,370,319 | 22 | 23 | 22. A system, comprising: one or more processors; and one or more memory device that collectively include instructions that, when executed by the processor, cause the processor to: obtain data associated with a search query, the data comprising indications of search-result items and corresponding number of first-clicks, the search-result items being items presented to users in response to the users submitting the search query, the number of first-clicks being the number of times the users selected the corresponding search-result item first in time before other items; use the indications of the search-result items and the corresponding number of first-clicks to create a distribution of first-clicks across the search result items, wherein the distribution is indicative of how the first-clicks are spread across the search-result items; determine a specificity score for the search query based at least in part on the distribution of first-clicks across the search result items, wherein the more evenly distributed the distribution of first-clicks, the lower the specificity score and the more likely the search query is submitted by users with the intention of general searching, and wherein the more skewed the distribution of first-clicks, the higher the specificity score and the more likely the search query is submitted by users with the intention of specific searching; use the specificity score to select search results; and provide the content to the user. | 22. A system, comprising: one or more processors; and one or more memory device that collectively include instructions that, when executed by the processor, cause the processor to: obtain data associated with a search query, the data comprising indications of search-result items and corresponding number of first-clicks, the search-result items being items presented to users in response to the users submitting the search query, the number of first-clicks being the number of times the users selected the corresponding search-result item first in time before other items; use the indications of the search-result items and the corresponding number of first-clicks to create a distribution of first-clicks across the search result items, wherein the distribution is indicative of how the first-clicks are spread across the search-result items; determine a specificity score for the search query based at least in part on the distribution of first-clicks across the search result items, wherein the more evenly distributed the distribution of first-clicks, the lower the specificity score and the more likely the search query is submitted by users with the intention of general searching, and wherein the more skewed the distribution of first-clicks, the higher the specificity score and the more likely the search query is submitted by users with the intention of specific searching; use the specificity score to select search results; and provide the content to the user. 23. The system of claim 22 , the instructions that, when executed by the processor, further cause the processor to: determine a first-click probability value for each of the search-result items by dividing the number of first-clicks for the search-result item by a total number of first-clicks received across all of the search-result items. | 0.5 |
8,706,740 | 2 | 3 | 2. The process system-of claim 1 wherein a user inputs the concept structured query by typing at least one keyword in the window for entering the concept-structured layout at a location where an image representative of the concept of the keyword is sought. | 2. The process system-of claim 1 wherein a user inputs the concept structured query by typing at least one keyword in the window for entering the concept-structured layout at a location where an image representative of the concept of the keyword is sought. 3. The process of claim 2 further comprising associating ellipses with each of the keywords to specify the scope and location of the concept associated with the keyword in an image. | 0.5 |
7,552,385 | 16 | 17 | 16. A signal-bearing storage medium tangibly embodying a program of machine-readable instructions executable by a digital processing apparatus to perform a method to organize and represent in a computer memory a document corpus containing an ordered plurality of documents, said method comprising: developing a first uninterrupted listing of unique integers to correspond to the occurrence of terms in the document corpus; and developing a second uninterrupted listing for said entire document corpus, said second uninterrupted listing containing, in sequence, the location of each corresponding document in said first uninterrupted listing. | 16. A signal-bearing storage medium tangibly embodying a program of machine-readable instructions executable by a digital processing apparatus to perform a method to organize and represent in a computer memory a document corpus containing an ordered plurality of documents, said method comprising: developing a first uninterrupted listing of unique integers to correspond to the occurrence of terms in the document corpus; and developing a second uninterrupted listing for said entire document corpus, said second uninterrupted listing containing, in sequence, the location of each corresponding document in said first uninterrupted listing. 17. The signal-bearing storage medium of claim 16 , wherein said method further comprises: developing a third uninterrupted listing for said entire document corpus, containing a sequential listing of floating point multipliers, each said floating point multiplier representing a document normalization factor for a corresponding document in said document corpus. | 0.5 |
9,082,007 | 10 | 17 | 10. A computer program product for image recreation, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising: an executable portion configured for creating one or more generic control documents, wherein the generic control documents are blank templates of transaction documents, wherein transaction documents are checks; an executable portion configured for receiving an indication of a user transaction, wherein receiving an indication of the user transaction comprises receiving an image of the transaction documents associated with the user transaction; an executable portion configured for pulling metadata from the image of the transaction document, wherein metadata from the image of the transaction document includes text and numbers typed on the transaction document; an executable portion configured for determining if capturing images of image elements from the transaction document is necessary, wherein image elements are handwritten elements of the transaction document; an executable portion configured for capturing images of image elements from transaction document only when it is determined that capturing is necessary; an executable portion configured for receiving a request for an image of one or more of the transaction documents associated with the user transaction from the user; an executable portion configured for retrieving the metadata and the captured images from the transaction documents based on the request; an executable portion configured for determining an appropriate generic control document from the created one or more generic control documents, wherein the appropriate generic control document is based at least in part on the transaction document used by the user for the transaction; an executable portion configured for merging the retrieved metadata and the captured image data from the one or more transaction documents with the determined appropriate generic control document to create a generated image of the one or more transaction documents requested; and an executable portion configured for presenting the generated image of the one or more transaction documents requested to the user. | 10. A computer program product for image recreation, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising: an executable portion configured for creating one or more generic control documents, wherein the generic control documents are blank templates of transaction documents, wherein transaction documents are checks; an executable portion configured for receiving an indication of a user transaction, wherein receiving an indication of the user transaction comprises receiving an image of the transaction documents associated with the user transaction; an executable portion configured for pulling metadata from the image of the transaction document, wherein metadata from the image of the transaction document includes text and numbers typed on the transaction document; an executable portion configured for determining if capturing images of image elements from the transaction document is necessary, wherein image elements are handwritten elements of the transaction document; an executable portion configured for capturing images of image elements from transaction document only when it is determined that capturing is necessary; an executable portion configured for receiving a request for an image of one or more of the transaction documents associated with the user transaction from the user; an executable portion configured for retrieving the metadata and the captured images from the transaction documents based on the request; an executable portion configured for determining an appropriate generic control document from the created one or more generic control documents, wherein the appropriate generic control document is based at least in part on the transaction document used by the user for the transaction; an executable portion configured for merging the retrieved metadata and the captured image data from the one or more transaction documents with the determined appropriate generic control document to create a generated image of the one or more transaction documents requested; and an executable portion configured for presenting the generated image of the one or more transaction documents requested to the user. 17. The computer program product of claim 10 , wherein merging the retrieved stored data from the one or more transaction documents with the determined appropriate generic control document further comprises adding the text data from the retrieved stored data to the appropriate generic control document. | 0.669935 |
9,898,709 | 13 | 19 | 13. A computer-implemented method for analyzing data pertaining to at least an organization, said analyzing being responsive to a query, comprising: aggregating unstructured data from various data sources to form aggregated data; processing said aggregated data using natural language processing to generate a set of attributes, wherein said set of attributes are correlated with values of metadata specified in said query, said metadata pertaining experiences with said organization that give rise to said unstructured data, wherein each attribute within said set of attributes includes a topic, sentiment and emotion, and wherein the set of attributes represent a set of topics, a set of sentiments, and a set of emotions; calculating a polarity for the set of attributes, wherein the polarity is a percentage of the attributes within the set of attributes which have a positive sentiment versus a negative sentiment; extracting business risks from a risk control matrix for the organization; and processing said set of attributes to generate a set of insights by mapping the set of topics, the set of polarities and the set of emotions to the risk control matrix and a set of recommendations provided to response teams in the organization to improve an aspect of a governance, risk, and compliance program of said organization. | 13. A computer-implemented method for analyzing data pertaining to at least an organization, said analyzing being responsive to a query, comprising: aggregating unstructured data from various data sources to form aggregated data; processing said aggregated data using natural language processing to generate a set of attributes, wherein said set of attributes are correlated with values of metadata specified in said query, said metadata pertaining experiences with said organization that give rise to said unstructured data, wherein each attribute within said set of attributes includes a topic, sentiment and emotion, and wherein the set of attributes represent a set of topics, a set of sentiments, and a set of emotions; calculating a polarity for the set of attributes, wherein the polarity is a percentage of the attributes within the set of attributes which have a positive sentiment versus a negative sentiment; extracting business risks from a risk control matrix for the organization; and processing said set of attributes to generate a set of insights by mapping the set of topics, the set of polarities and the set of emotions to the risk control matrix and a set of recommendations provided to response teams in the organization to improve an aspect of a governance, risk, and compliance program of said organization. 19. The computer-implemented method of claim 13 wherein said unstructured data includes blog data. | 0.766667 |
9,607,091 | 1 | 4 | 1. A method, comprising: generating, via a computer, an ontological domain for an individual based upon information elements, the information elements representing aspects of detectable behaviors of the individual over time, at least a portion of the detectable behaviors being captured via user-generated input of the individual monitored by the computer, and at least another portion of the detectable behaviors being received from a source that is independent of the computer and absent any user-generated input of the individual, the generating the ontological domain comprising creating subdomains of contextually organized collections of the information elements by topic; comparing the information elements across the subdomains; determining relationships of the information elements across topics indicated by the subdomains based on common features associated with the information elements; determining, via the computer, a relevance of the relationships among the information elements across the subdomains based on measurable aspects of the information elements with respect to frequency of occurrence, geolocation, time, or any combination thereof, wherein the relationships determined to be relevant are identified as an interest of the individual; searching sources of information using the information elements having the relationships determined to be relevant; and transmitting a solution to a device associated with the individual, the solution identified from results of the searching as satisfying the interest. | 1. A method, comprising: generating, via a computer, an ontological domain for an individual based upon information elements, the information elements representing aspects of detectable behaviors of the individual over time, at least a portion of the detectable behaviors being captured via user-generated input of the individual monitored by the computer, and at least another portion of the detectable behaviors being received from a source that is independent of the computer and absent any user-generated input of the individual, the generating the ontological domain comprising creating subdomains of contextually organized collections of the information elements by topic; comparing the information elements across the subdomains; determining relationships of the information elements across topics indicated by the subdomains based on common features associated with the information elements; determining, via the computer, a relevance of the relationships among the information elements across the subdomains based on measurable aspects of the information elements with respect to frequency of occurrence, geolocation, time, or any combination thereof, wherein the relationships determined to be relevant are identified as an interest of the individual; searching sources of information using the information elements having the relationships determined to be relevant; and transmitting a solution to a device associated with the individual, the solution identified from results of the searching as satisfying the interest. 4. The method of claim 1 , further comprising: dynamically updating the ontological domain over time by iteratively detecting behaviors of the individual and gathering the information elements in response to the detecting; updating the subdomains with the information elements resulting from the gathering; and updating the interest based upon updates made to the subdomains. | 0.777844 |
9,911,418 | 15 | 18 | 15. An article of manufacture including a tangible non-transitory computer-readable storage medium having computer-readable instructions encoded thereon, the instructions comprising: instructions for receiving input data from one or more input source devices; instructions for determining that the received input data includes both a first data pattern representing an explicit command and a second data pattern representing an implicit search request, wherein the first data pattern representing the explicit command comprises the first data pattern indicating that the wearable computing device should carry out a particular operation, and wherein the second data pattern representing the implicit search request comprises the second data pattern indicating that the wearable computing device should provide search results based on particular content even though the input data is without an explicit indication to provide the search results based on the particular content; and instructions for, in response to determining that the received input data includes both the first data pattern representing the explicit command and the second data pattern representing the implicit search request, the wearable computing device prioritizing the explicit command over the implicit search request by carrying out the particular operation. | 15. An article of manufacture including a tangible non-transitory computer-readable storage medium having computer-readable instructions encoded thereon, the instructions comprising: instructions for receiving input data from one or more input source devices; instructions for determining that the received input data includes both a first data pattern representing an explicit command and a second data pattern representing an implicit search request, wherein the first data pattern representing the explicit command comprises the first data pattern indicating that the wearable computing device should carry out a particular operation, and wherein the second data pattern representing the implicit search request comprises the second data pattern indicating that the wearable computing device should provide search results based on particular content even though the input data is without an explicit indication to provide the search results based on the particular content; and instructions for, in response to determining that the received input data includes both the first data pattern representing the explicit command and the second data pattern representing the implicit search request, the wearable computing device prioritizing the explicit command over the implicit search request by carrying out the particular operation. 18. The article of manufacture of claim 15 , wherein the input data comprises speech data. | 0.847458 |
10,148,712 | 7 | 9 | 7. A computer program product for automated social networking for e-meetings, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code for executing an e-meeting server in memory of a host computer and hosting an e-meeting in the e-meeting server and receiving content in the e-meeting from different end users in the e-meeting, each of the different end users having a respectively different contact list of contacts for a corresponding social networking account; computer readable program code for monitoring the content by the e-meeting server; computer readable program code for detecting during the monitoring a name in the monitored content; computer readable program code for comparing the detected name to different names in the different lists of contacts; and, computer readable program code for, on condition that the detected name matches a name in a contact list for a social networking account of a particular one of the different end users in the e-meeting, triggering generation of a social networking introduction between the particular one of the different end users in the e-meeting and the detected name. | 7. A computer program product for automated social networking for e-meetings, the computer program product comprising: a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code for executing an e-meeting server in memory of a host computer and hosting an e-meeting in the e-meeting server and receiving content in the e-meeting from different end users in the e-meeting, each of the different end users having a respectively different contact list of contacts for a corresponding social networking account; computer readable program code for monitoring the content by the e-meeting server; computer readable program code for detecting during the monitoring a name in the monitored content; computer readable program code for comparing the detected name to different names in the different lists of contacts; and, computer readable program code for, on condition that the detected name matches a name in a contact list for a social networking account of a particular one of the different end users in the e-meeting, triggering generation of a social networking introduction between the particular one of the different end users in the e-meeting and the detected name. 9. The computer program product of claim 7 , wherein the computer readable program code for the triggering comprises computer readable program code for triggering generation of a social networking introduction between the particular one of the different end users in the e-meeting and the detected name in response to the detected name matching a threshold number of names in respectively different contact lists for corresponding social networking accounts of different ones of the different end users in the e-meeting. | 0.5 |
9,375,845 | 2 | 4 | 2. The method of claim 1 , further comprising analyzing a communication of a human being, wherein the robot motion script is further generated based on analyzing the communication of the human being. | 2. The method of claim 1 , further comprising analyzing a communication of a human being, wherein the robot motion script is further generated based on analyzing the communication of the human being. 4. The method of claim 2 , wherein the communication of the human being is a request spoken by the human being that is captured by a microphone of the robot and wherein analyzing the communication of the human being comprises processing the spoken request captured by the microphone by a voice recognition component. | 0.5 |
8,301,454 | 25 | 27 | 25. A non-transitory computer-readable medium having a computer-executable component for providing cues to a user while capturing an utterance, the computer-executable component comprising: a cue-providing component configured to: cause an electronic communication device to capture a user utterance; and cause the electronic communication device to provide to the user in at least near real-time one or more cues associated with the user utterance, wherein said providing includes, for each portion of a plurality of portions of the user utterance: causing the electronic communication device to communicate data representative of the respective portion of the user utterance to a remote electronic device; in response to the communication of data representative of the respective portion of the user utterance, causing the electronic communication device to receive data representative of at least one parameter associated with the respective portion of the user utterance; and causing the electronic communication device to provide at least one cue based at least in part on the at least one parameter associated with the respective portion of the user utterance; wherein the electronic communication device is caused to provide at least one cue of the one or more cues prior to completion of capturing the user utterance. | 25. A non-transitory computer-readable medium having a computer-executable component for providing cues to a user while capturing an utterance, the computer-executable component comprising: a cue-providing component configured to: cause an electronic communication device to capture a user utterance; and cause the electronic communication device to provide to the user in at least near real-time one or more cues associated with the user utterance, wherein said providing includes, for each portion of a plurality of portions of the user utterance: causing the electronic communication device to communicate data representative of the respective portion of the user utterance to a remote electronic device; in response to the communication of data representative of the respective portion of the user utterance, causing the electronic communication device to receive data representative of at least one parameter associated with the respective portion of the user utterance; and causing the electronic communication device to provide at least one cue based at least in part on the at least one parameter associated with the respective portion of the user utterance; wherein the electronic communication device is caused to provide at least one cue of the one or more cues prior to completion of capturing the user utterance. 27. The non-transitory computer-readable medium of claim 25 , wherein the at least one parameter associated with each respective portion of the user utterance comprises a confidence level corresponding to a transcription result of the respective portion of the user utterance. | 0.65586 |
9,620,122 | 13 | 14 | 13. A first device, comprising: a processor; and storage accessible to the processor, the storage bearing instructions executable by the processor to: receive speech input; determine that at least a first portion of the speech input cannot be identified with at least a threshold level of confidence; convert the speech input to first text, wherein conversion of the first portion comprises identifying at least a first potential candidate corresponding to the first portion and a second potential candidate corresponding to the first portion; transmit the first text to a second device; and receive, from the second device, second text comprising at least a portion of the first text and comprising one of the first potential candidate and the second potential candidate; wherein the threshold level of confidence varies based on a speed of communication of the first device with the second device. | 13. A first device, comprising: a processor; and storage accessible to the processor, the storage bearing instructions executable by the processor to: receive speech input; determine that at least a first portion of the speech input cannot be identified with at least a threshold level of confidence; convert the speech input to first text, wherein conversion of the first portion comprises identifying at least a first potential candidate corresponding to the first portion and a second potential candidate corresponding to the first portion; transmit the first text to a second device; and receive, from the second device, second text comprising at least a portion of the first text and comprising one of the first potential candidate and the second potential candidate; wherein the threshold level of confidence varies based on a speed of communication of the first device with the second device. 14. The first device of claim 13 , wherein the instructions are executable to: output the second text at the first device. | 0.728889 |
9,245,037 | 23 | 31 | 23. An apparatus comprising: a processor; and memory storing computer-executable instructions that, when executed by the processor, cause the apparatus to: receive a first request to analyze a first network document, the first request including an identifier of the first network document; in response to the first request: analyze the first network document according to one or more search engine algorithms; generate a display of a first scoring analysis including a first score of the first network document; and generate a display of an option to view a second scoring analysis of a second network document within the first network document, wherein the second network document includes at least one link contributing to the first scoring analysis; in response to receiving a selection of the option to view the second scoring analysis, generate a display of results of the second scoring analysis including a second score of the second network document, wherein the display of the results of the second scoring analysis includes a link flow distribution that indicates a likelihood that a user will access the second network document relative to a third network document within the first network document, and wherein the display of the results of the first scoring analysis includes at least one factor contributing to the first score and wherein the display of the results of the second scoring analysis does not include the at least one factor contributing to the first score; receive a second request to view a third scoring analysis of the at least one link, wherein the third scoring analysis includes an evaluation of one or more traffic-independent attributes of the at least one link, wherein the one or more traffic-independent attributes of the at least one link is different from attributes of a network destination specified by the at least one link; and in response to receiving the second request, generate a display of results of the third scoring analysis of the at least one link including the one or more traffic-independent attributes. | 23. An apparatus comprising: a processor; and memory storing computer-executable instructions that, when executed by the processor, cause the apparatus to: receive a first request to analyze a first network document, the first request including an identifier of the first network document; in response to the first request: analyze the first network document according to one or more search engine algorithms; generate a display of a first scoring analysis including a first score of the first network document; and generate a display of an option to view a second scoring analysis of a second network document within the first network document, wherein the second network document includes at least one link contributing to the first scoring analysis; in response to receiving a selection of the option to view the second scoring analysis, generate a display of results of the second scoring analysis including a second score of the second network document, wherein the display of the results of the second scoring analysis includes a link flow distribution that indicates a likelihood that a user will access the second network document relative to a third network document within the first network document, and wherein the display of the results of the first scoring analysis includes at least one factor contributing to the first score and wherein the display of the results of the second scoring analysis does not include the at least one factor contributing to the first score; receive a second request to view a third scoring analysis of the at least one link, wherein the third scoring analysis includes an evaluation of one or more traffic-independent attributes of the at least one link, wherein the one or more traffic-independent attributes of the at least one link is different from attributes of a network destination specified by the at least one link; and in response to receiving the second request, generate a display of results of the third scoring analysis of the at least one link including the one or more traffic-independent attributes. 31. The apparatus of claim 23 , wherein at least one of the first, second and third scoring analyses includes a listing of links, and wherein the memory stores computer-executable instructions that, when executed by the processor, cause the apparatus to: filter the listing of links based on a user specified parameter. | 0.660638 |
8,583,421 | 1 | 12 | 1. A method of key press prediction on a touch-based device, comprising: registering a position of a touch press attempt on an icon among a plurality of icons presented on the touch-base device; calculating a distance from a reference point of the icon to the position; calculating a psychomotor probability for each icon in the plurality of icons; calculating a linguistic probability for each icon in the plurality of icons; calculating a predictive index for each icon in the plurality of icons based on the psychomotor probability and the linguistic probability; and registering as a user selected icon, an icon with one among a highest predictive index and a probability higher than a predetermined absolute value, wherein for the psychomotor probability calculation, a distribution of finger presses is defined by one among a distance of an x-y position from a center of an icon or key or by a distance of an x-y position from a centroid of pertinent finger presses related to the icon or key, and wherein the distribution of finger presses is a parameter that is standardized using z-scores which allow the determination of a likelihood of an intended key press for specific keys. | 1. A method of key press prediction on a touch-based device, comprising: registering a position of a touch press attempt on an icon among a plurality of icons presented on the touch-base device; calculating a distance from a reference point of the icon to the position; calculating a psychomotor probability for each icon in the plurality of icons; calculating a linguistic probability for each icon in the plurality of icons; calculating a predictive index for each icon in the plurality of icons based on the psychomotor probability and the linguistic probability; and registering as a user selected icon, an icon with one among a highest predictive index and a probability higher than a predetermined absolute value, wherein for the psychomotor probability calculation, a distribution of finger presses is defined by one among a distance of an x-y position from a center of an icon or key or by a distance of an x-y position from a centroid of pertinent finger presses related to the icon or key, and wherein the distribution of finger presses is a parameter that is standardized using z-scores which allow the determination of a likelihood of an intended key press for specific keys. 12. The method of claim 1 , wherein the method constructs letter frequency tables to determine a likelihood of an occurrence of a letter based on the characters in front of a given letter. | 0.656934 |
9,740,692 | 17 | 19 | 17. A non-transitory computer-readable medium having instructions stored thereon to create a flexible structure description, the instructions comprising: instructions to receive an image of a document of a particular document type that contains a table; instructions to receive an entry describing an item in the table; instructions to search for title elements based upon the entry; instructions to detect data fields and anchor elements for the entry; instructions to generate a flexible structure description for the particular document type that includes a set of search elements for each data field in the image of the document and the title elements; instructions to match the flexible structure description against the image; and instructions to extract data from the image based upon the matching of the flexible structure description against the image. | 17. A non-transitory computer-readable medium having instructions stored thereon to create a flexible structure description, the instructions comprising: instructions to receive an image of a document of a particular document type that contains a table; instructions to receive an entry describing an item in the table; instructions to search for title elements based upon the entry; instructions to detect data fields and anchor elements for the entry; instructions to generate a flexible structure description for the particular document type that includes a set of search elements for each data field in the image of the document and the title elements; instructions to match the flexible structure description against the image; and instructions to extract data from the image based upon the matching of the flexible structure description against the image. 19. The non-transitory computer-readable medium of claim 17 , wherein the table spans multiple pages of the document, and wherein the title elements repeat on two or more pages of the multiple pages. | 0.605159 |
10,134,399 | 2 | 15 | 2. A first networked microphone device (NMD), the first NMD comprising: a microphone array; a network interface; one or more processors; and computer-readable media having instructions encoded therein, wherein the instructions, when executed by the one or more processors, cause the first NMD device to perform functions comprising: recording, via the microphone array, audio data indicating a voice command; identifying, based on the recorded audio data, a first characteristic of the voice command, the first characteristic comprising a sound pressure level of the voice command as detected by the microphone array of the first NMD, wherein the first NMD is associated with a first zone of a media playback system, the first zone comprising a first playback device; receiving, via a network interface of the first NMD from one or more second NMDs, contextual information indicating a second characteristic of the voice command, the second characteristics comprising respective sound pressure levels of the voice command as detected by respective microphone arrays of the one or more second NMDs, wherein the one or more second NMDs are associated with one or more second zones of the media playback system, each second zone comprising a second playback device; based on the sound pressure level of the voice command as detected by the microphone array of the first NMD being greater than the sound pressure levels of the voice command as detected by the respective microphone arrays of the one or more second NMDs, determining that the voice command was uttered in the first zone; in response to determining that the voice command was uttered in the first zone associated with the first NMD, querying one or more servers of a voice assistant service with the voice command; receiving, via the network interface in response to the query, a playback command corresponding to the voice command; and instructing the first playback device to play back audio content according to the playback command via one or more amplifiers configured to drive one or more speakers. | 2. A first networked microphone device (NMD), the first NMD comprising: a microphone array; a network interface; one or more processors; and computer-readable media having instructions encoded therein, wherein the instructions, when executed by the one or more processors, cause the first NMD device to perform functions comprising: recording, via the microphone array, audio data indicating a voice command; identifying, based on the recorded audio data, a first characteristic of the voice command, the first characteristic comprising a sound pressure level of the voice command as detected by the microphone array of the first NMD, wherein the first NMD is associated with a first zone of a media playback system, the first zone comprising a first playback device; receiving, via a network interface of the first NMD from one or more second NMDs, contextual information indicating a second characteristic of the voice command, the second characteristics comprising respective sound pressure levels of the voice command as detected by respective microphone arrays of the one or more second NMDs, wherein the one or more second NMDs are associated with one or more second zones of the media playback system, each second zone comprising a second playback device; based on the sound pressure level of the voice command as detected by the microphone array of the first NMD being greater than the sound pressure levels of the voice command as detected by the respective microphone arrays of the one or more second NMDs, determining that the voice command was uttered in the first zone; in response to determining that the voice command was uttered in the first zone associated with the first NMD, querying one or more servers of a voice assistant service with the voice command; receiving, via the network interface in response to the query, a playback command corresponding to the voice command; and instructing the first playback device to play back audio content according to the playback command via one or more amplifiers configured to drive one or more speakers. 15. The first NMD of claim 2 , wherein the first NMD comprises the first playback device. | 0.90067 |
9,069,859 | 7 | 10 | 7. A method for providing search results, comprising: determining a search label corresponding to a search query; determining, using one or more processors, a plurality of preprocessing functions and an execution sequence in which at least some of the plurality of preprocessing functions are to be performed on the search query based at least in part on the search label corresponding to the search query; performing the plurality of preprocessing functions on the search query to obtain a plurality of preprocessed search queries; selecting a preprocessed search query from the plurality of preprocessed search queries to include into a search plan, wherein selecting the preprocessed search query includes: determining two or more preprocessed search queries of the plurality of preprocessed search queries that meet a precision requirement; and in response to the determination that two or more preprocessed search queries meet the precision requirement, selecting the preprocessed search query from the two or more preprocessed search queries to include in the search plan based at least in part on confidence levels associated with respective ones of the two or more preprocessed search queries; and inputting the search plan into a search engine to obtain the search results. | 7. A method for providing search results, comprising: determining a search label corresponding to a search query; determining, using one or more processors, a plurality of preprocessing functions and an execution sequence in which at least some of the plurality of preprocessing functions are to be performed on the search query based at least in part on the search label corresponding to the search query; performing the plurality of preprocessing functions on the search query to obtain a plurality of preprocessed search queries; selecting a preprocessed search query from the plurality of preprocessed search queries to include into a search plan, wherein selecting the preprocessed search query includes: determining two or more preprocessed search queries of the plurality of preprocessed search queries that meet a precision requirement; and in response to the determination that two or more preprocessed search queries meet the precision requirement, selecting the preprocessed search query from the two or more preprocessed search queries to include in the search plan based at least in part on confidence levels associated with respective ones of the two or more preprocessed search queries; and inputting the search plan into a search engine to obtain the search results. 10. The method of claim 7 , wherein determining that the two or more preprocessed search queries of the plurality of preprocessed search queries meet the precision requirement includes determining that precision levels associated with respective ones of the two or more preprocessed search queries meet a minimum value associated with the precision requirement. | 0.5 |
8,265,924 | 1 | 6 | 1. A system, comprising: a machine configured to execute a language creator that resides in a non-transitory computer-readable medium; the machine also configured to execute a language linker that resides in a non-transitory computer-readable medium; and the machine further configured to execute a language distributor that resides in a non-transitory computer-readable medium, the language creator is to create entries for a base spoken language in a master language data structure, the language linker links a single additional entry for each entry in the master language data structure, each single additional entry is associated with each different supported spoken language, and each single additional entry housed in a different repository from remaining additional entries, and the language distributor is to distribute selective ones of the entries or selective ones of the additional entries, and each entry includes a base string in the base spoken language and a plurality of additional strings that are matched to that entry via the base string and each additional string is in a different spoken language from the base spoken language of the base string, the master language data structure providing version control on the entries, each entry identified by a combination of a numeric value and an identifying string and at least one of the different spoken languages include a specific dialect for a given spoken language. | 1. A system, comprising: a machine configured to execute a language creator that resides in a non-transitory computer-readable medium; the machine also configured to execute a language linker that resides in a non-transitory computer-readable medium; and the machine further configured to execute a language distributor that resides in a non-transitory computer-readable medium, the language creator is to create entries for a base spoken language in a master language data structure, the language linker links a single additional entry for each entry in the master language data structure, each single additional entry is associated with each different supported spoken language, and each single additional entry housed in a different repository from remaining additional entries, and the language distributor is to distribute selective ones of the entries or selective ones of the additional entries, and each entry includes a base string in the base spoken language and a plurality of additional strings that are matched to that entry via the base string and each additional string is in a different spoken language from the base spoken language of the base string, the master language data structure providing version control on the entries, each entry identified by a combination of a numeric value and an identifying string and at least one of the different spoken languages include a specific dialect for a given spoken language. 6. The system of claim 1 further comprising, a language updater to add a new entry to the master language data structure in the base spoken language and to communicate with the language linker to acquire new additional entries for the new entry in the different supported spoken languages. | 0.5 |
8,180,758 | 4 | 13 | 4. A computer-implemented method, comprising: under control of one or more computer systems configured with executable instructions, executing a series of queries against a source of information to extract a desired set of information; determining context information for the extracted set of information; storing the extracted set of information as a corpus of predicate logic facts according to the determined context information; receiving a first query that is created and submitted via a user interface; in response to receiving the first query submitted via the user interface, executing the first query against the corpus of predicate logic facts obtained through the determined context information; and generating a first result set to be presented to a user, the generated first result set including at least one predicate defining a hierarchical relationship between data elements of the corpus; and receiving a second query that is created and submitted via the user interface, the second query including at least one new rule defined by the user to be applied against the generated first result set via the user interface; in response to receiving the second query, executing the second query against the generated first result set; and generating a second result set to be presented to the user, the generated second result set being based at least in part on the generated first result set, wherein when the generated first result set includes at least one set of duplicate data elements, the generated second result set excludes the at least one set of duplicate data elements, the at least one set of duplicate data elements being excluded based at least in part on the defined hierarchical relationship between the data elements of the corpus included in the generated first result set and the at least one set of duplicate data elements. | 4. A computer-implemented method, comprising: under control of one or more computer systems configured with executable instructions, executing a series of queries against a source of information to extract a desired set of information; determining context information for the extracted set of information; storing the extracted set of information as a corpus of predicate logic facts according to the determined context information; receiving a first query that is created and submitted via a user interface; in response to receiving the first query submitted via the user interface, executing the first query against the corpus of predicate logic facts obtained through the determined context information; and generating a first result set to be presented to a user, the generated first result set including at least one predicate defining a hierarchical relationship between data elements of the corpus; and receiving a second query that is created and submitted via the user interface, the second query including at least one new rule defined by the user to be applied against the generated first result set via the user interface; in response to receiving the second query, executing the second query against the generated first result set; and generating a second result set to be presented to the user, the generated second result set being based at least in part on the generated first result set, wherein when the generated first result set includes at least one set of duplicate data elements, the generated second result set excludes the at least one set of duplicate data elements, the at least one set of duplicate data elements being excluded based at least in part on the defined hierarchical relationship between the data elements of the corpus included in the generated first result set and the at least one set of duplicate data elements. 13. The computer-implemented method according to claim 4 , wherein: the predicate logic facts include facts relating to at least one of product types, product type attributes, components, valid values, and enumerated values. | 0.661631 |
8,280,823 | 138 | 157 | 138. The system of claim 133 , wherein the search criteria comprises 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. | 138. The system of claim 133 , wherein the search criteria comprises 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. 157. The system of claim 138 , wherein to satisfy the search criteria, the parsed resume associated with each said at least one matching resume includes, for each said at least one job requirement, either the required skill or experience-related phrase, or an alternative required skill or experience-related phrase, and wherein the term of experience for either the required skill or experience-related phrase, or the alternative required skill or experience-related phrase, is greater than or equal to the required term of experience. | 0.534722 |
9,135,544 | 6 | 7 | 6. A quality management system for products comprising: a first multiplicity of individual package specific barcoded quality indicators each operative to provide a first individual package machine-readable indication prior to exceedance of at least one threshold by at least one product quality affecting parameter of an individual package, and a second individual package machine-readable indication, different from said first individual package machine-readable indication, following said exceedance of said at least one threshold by said at least one product quality affecting parameter of said individual package, said first and second individual package machine-readable indications comprising at least mutually different alpha-numerical data encoded in said barcoded quality indicators; a second multiplicity of outer package specific barcoded quality indicators each operative to provide a first outer package machine-readable indication prior to exceedance of at least one threshold by at least one product quality affecting parameter of an outer package containing a plurality of said individual packages, and a second outer package machine-readable indication, different from said first outer package machine-readable indication, following said exceedance of said at least one threshold by said at least one product quality affecting parameter of said outer package, said first and second outer package machine-readable indications comprising at least mutually different alpha-numerical data encoded in said barcoded quality indicators, the thresholds for which indication of exceedance is provided by said outer packag e specific indicators corresponding to an operative range different from the operative range to which the thresholds for which indication of exceedance is provided by said individual package specific indicators correspond; a barcode indicator reader operative to read said barcoded quality indicators and to provide output indications, said barcoded quality indicators being readable by said barcode indicator reader at all times, after fi rst becoming readable, including times prior to, during and immediately following exceedance of said at least one threshold by said at least one product quality affecting parameter; and a product type responsive indication interpreter operative to receive said output indications and to provide human sensible, product quality status outputs. | 6. A quality management system for products comprising: a first multiplicity of individual package specific barcoded quality indicators each operative to provide a first individual package machine-readable indication prior to exceedance of at least one threshold by at least one product quality affecting parameter of an individual package, and a second individual package machine-readable indication, different from said first individual package machine-readable indication, following said exceedance of said at least one threshold by said at least one product quality affecting parameter of said individual package, said first and second individual package machine-readable indications comprising at least mutually different alpha-numerical data encoded in said barcoded quality indicators; a second multiplicity of outer package specific barcoded quality indicators each operative to provide a first outer package machine-readable indication prior to exceedance of at least one threshold by at least one product quality affecting parameter of an outer package containing a plurality of said individual packages, and a second outer package machine-readable indication, different from said first outer package machine-readable indication, following said exceedance of said at least one threshold by said at least one product quality affecting parameter of said outer package, said first and second outer package machine-readable indications comprising at least mutually different alpha-numerical data encoded in said barcoded quality indicators, the thresholds for which indication of exceedance is provided by said outer packag e specific indicators corresponding to an operative range different from the operative range to which the thresholds for which indication of exceedance is provided by said individual package specific indicators correspond; a barcode indicator reader operative to read said barcoded quality indicators and to provide output indications, said barcoded quality indicators being readable by said barcode indicator reader at all times, after fi rst becoming readable, including times prior to, during and immediately following exceedance of said at least one threshold by said at least one product quality affecting parameter; and a product type responsive indication interpreter operative to receive said output indications and to provide human sensible, product quality status outputs. 7. A quality management system for products according to claim 6 and wherein indication of exceedance may be provided by said outer package specific indicators associated with outer packages even when indication of exceedance is not provided by said individual package specific indicators attached to the individual packages contained therein. | 0.5 |
8,533,162 | 1 | 3 | 1. A method of detecting an object through a retrieve of an image representing an object matched to an object represented by a query image from an image database that includes a plurality of reference images and is created by extracting a plurality of reference feature vectors from each reference image that represents an object, each of the reference feature vectors representing a feature of one of local areas in each reference image, and by storing the reference feature vectors in such a manner that each of the reference feature vectors is associated with the corresponding reference image and with an object ID that identifies the object represented by each reference image, the method comprising the steps of: extracting a plurality of vectors from the query image as query feature vectors, each of the query feature vectors representing a feature of one of local areas in the query image; comparing each query feature vector with each reference feature vector, and calculating a similarity score that is determined to have a greater value in case where the query feature vector and the reference feature vector are closer, in case where a local area from which the query feature vector is extracted is greater, and in case where a local area from which the reference feature vector is extracted is greater; determining a reference feature vector which provides the highest similarity score as a similar vector for each query feature vector; and obtaining resulting scores through a predetermined calculation procedure according to the respective object IDs, each object ID being associated with the similar vector, and determining, as a detection result, at least one object that is specified by an object ID giving the highest resulting score, wherein each resulting score is calculated according to the following equation : [ Equation 1 ] s = ∑ s f N f ( 1 ) wherein s f is the similarity score regarding the similar vector, and N f is a number of query feature vectors each of which matches to a reference feature vector originated from a reference image representing an object regarding the object ID and being stored in the image database out of the query feature vectors in the query image. | 1. A method of detecting an object through a retrieve of an image representing an object matched to an object represented by a query image from an image database that includes a plurality of reference images and is created by extracting a plurality of reference feature vectors from each reference image that represents an object, each of the reference feature vectors representing a feature of one of local areas in each reference image, and by storing the reference feature vectors in such a manner that each of the reference feature vectors is associated with the corresponding reference image and with an object ID that identifies the object represented by each reference image, the method comprising the steps of: extracting a plurality of vectors from the query image as query feature vectors, each of the query feature vectors representing a feature of one of local areas in the query image; comparing each query feature vector with each reference feature vector, and calculating a similarity score that is determined to have a greater value in case where the query feature vector and the reference feature vector are closer, in case where a local area from which the query feature vector is extracted is greater, and in case where a local area from which the reference feature vector is extracted is greater; determining a reference feature vector which provides the highest similarity score as a similar vector for each query feature vector; and obtaining resulting scores through a predetermined calculation procedure according to the respective object IDs, each object ID being associated with the similar vector, and determining, as a detection result, at least one object that is specified by an object ID giving the highest resulting score, wherein each resulting score is calculated according to the following equation : [ Equation 1 ] s = ∑ s f N f ( 1 ) wherein s f is the similarity score regarding the similar vector, and N f is a number of query feature vectors each of which matches to a reference feature vector originated from a reference image representing an object regarding the object ID and being stored in the image database out of the query feature vectors in the query image. 3. The method according to claim 1 , wherein the image database further stores distances and orientations from a predetermined reference point with respect to respective stored images, the distances and orientations being associated with the corresponding reference feature vector extracted from the image, the method further comprising the steps of: determining locations of imaginary reference points to the similar vectors for each similar vector by using the distance and orientation, which are stored as being associated with the corresponding reference feature vector; determining a plurality of clusters by collecting the similar vectors, which have imaginary reference points close to one another, and with which the same object ID is associated; and obtaining a locality score, which represents a degree of similarity of each cluster obtained as a result of the step of determining clusters, through a predetermined process, wherein each resulting score is calculated according to the following equation instead of the equation (1): [ Equation 3 ] s = ∑ s f N f ∑ r C N C ( 3 ) wherein r c is the locality score, and Nc is a number of similar vectors belonging to each cluster. | 0.5 |
9,754,101 | 15 | 17 | 15. A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising: receiving a proposed password from a user; accessing a previous password of the user; decomposing the proposed password and the previous password into a first plurality of components and a second plurality of components, respectively; analyzing the first plurality of components and the second plurality of components in relation to the proposed password and the previous password, respectively, to discern a first set of formation rules used to form the proposed password from the first plurality of components and a second set of formation rules used to form the previous password from the second plurality of components; determining a similarity between the proposed password and the previous password based on a comparison between the first plurality of components and the second plurality of components and a comparison between the first set of formation rules and the second set of formation rules; and determining to accept the proposed password based on the similarity. | 15. A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising: receiving a proposed password from a user; accessing a previous password of the user; decomposing the proposed password and the previous password into a first plurality of components and a second plurality of components, respectively; analyzing the first plurality of components and the second plurality of components in relation to the proposed password and the previous password, respectively, to discern a first set of formation rules used to form the proposed password from the first plurality of components and a second set of formation rules used to form the previous password from the second plurality of components; determining a similarity between the proposed password and the previous password based on a comparison between the first plurality of components and the second plurality of components and a comparison between the first set of formation rules and the second set of formation rules; and determining to accept the proposed password based on the similarity. 17. The non-transitory machine-readable medium of claim 15 , wherein the determining the similarity comprises determining a similarity score for the proposed password, and wherein the determining to accept the proposed password based on the similarity includes comparing the similarity score for the proposed password with a threshold score. | 0.666992 |
7,571,092 | 1 | 2 | 1. A method for localizing a software product, the method comprising: an automated localization mechanism implemented in a computer extracting localizable text strings, to be translated into a language for which the product is to be localized, from one or more localizable files of the software product; the localization mechanism searching a localization database for translations of the extracted localizable text strings, wherein the localization database comprises text strings and associated translations of the text strings in the language for which the product is to be localized; the localization mechanism writing translations for the localizable text strings found in the database into localized versions of the localizable files at locations from which the corresponding localizable text strings were extracted such that the localized versions match an original file structure of the localizable files; and the localization mechanism storing the localized versions of the localizable files in file system locations in accordance with a file organization scheme for the product, wherein the localized versions of the localizable files in the file system locations have the original file structure and are ready for a final build into a localized version of the software product such that all translations in the localized versions relative to the localizable files are obtained by the localization mechanism performing said extracting, said searching, said writing and said storing. | 1. A method for localizing a software product, the method comprising: an automated localization mechanism implemented in a computer extracting localizable text strings, to be translated into a language for which the product is to be localized, from one or more localizable files of the software product; the localization mechanism searching a localization database for translations of the extracted localizable text strings, wherein the localization database comprises text strings and associated translations of the text strings in the language for which the product is to be localized; the localization mechanism writing translations for the localizable text strings found in the database into localized versions of the localizable files at locations from which the corresponding localizable text strings were extracted such that the localized versions match an original file structure of the localizable files; and the localization mechanism storing the localized versions of the localizable files in file system locations in accordance with a file organization scheme for the product, wherein the localized versions of the localizable files in the file system locations have the original file structure and are ready for a final build into a localized version of the software product such that all translations in the localized versions relative to the localizable files are obtained by the localization mechanism performing said extracting, said searching, said writing and said storing. 2. The method as recited in claim 1 , further comprising: in said searching of the localization database for translations of the extracted localizable text strings, in response to a translation for a localizable text string not being found in the localization database, the localization mechanism generating an entry in a translation kit for the localizable text string, wherein the translation kit is formatted in accordance with a canonical translation kit format, wherein the same canonical format is used for the translation kit regardless of the format of the localizable files, and wherein the translation kit is separate from the localizable files; after said searching the localization database for translations of the extracted localizable text strings, in response to the translation kit including or more localizable text strings to be translated: providing the translation kit to a translator for translation of the localizable text strings in the translation kit, wherein translations of the localizable text strings are added to the translation kit in accordance with the canonical translation kit format; and importing the translations of the localizable text strings from the translation kit into the translation database in accordance with the canonical translation kit format. | 0.586581 |
5,475,767 | 1 | 5 | 1. A method for encoding a character, the character including one or more radicals, each having a predetermined radical name and one or more strokes written in a predetermined order to create each radical and said step (b) further includes, each of the strokes having a predetermined stroke name, comprising the steps of: (a) phonetically translating at least one of said radical names of said one or more radicals included in said character into a first group of series of one or more symbols; (b) phonetically translating at least one of said stroke names of at least one of said one or more radicals into a second group of one or more series of symbols; (c) inputting a code of the character into a decoder utilizing the first symbol of one of the series of said first group of series followed by the first symbol of each of the series of one or more symbols of said second group of series in the same order in which the corresponding strokes are written; and (d) displaying said character in response to said decoder; wherein the radicals are writtenn in a predetermined order to create said character and said step (c) includes inputting a code of the character utilizing the first symbol of each of the said series of one or more symbols in the same order in which the corresponding radicals are written. | 1. A method for encoding a character, the character including one or more radicals, each having a predetermined radical name and one or more strokes written in a predetermined order to create each radical and said step (b) further includes, each of the strokes having a predetermined stroke name, comprising the steps of: (a) phonetically translating at least one of said radical names of said one or more radicals included in said character into a first group of series of one or more symbols; (b) phonetically translating at least one of said stroke names of at least one of said one or more radicals into a second group of one or more series of symbols; (c) inputting a code of the character into a decoder utilizing the first symbol of one of the series of said first group of series followed by the first symbol of each of the series of one or more symbols of said second group of series in the same order in which the corresponding strokes are written; and (d) displaying said character in response to said decoder; wherein the radicals are writtenn in a predetermined order to create said character and said step (c) includes inputting a code of the character utilizing the first symbol of each of the said series of one or more symbols in the same order in which the corresponding radicals are written. 5. The method of claim 1 wherein step (d) includes addressing a memory based on the inputted code; outputting from said memory a display representation of said character; displaying based on said display representation. | 0.5 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.