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
|
|---|---|---|---|---|---|
8,812,459 | 8 | 11 | 8. A system for text interpretation and normalization, comprising: a computer including a processor and memory, wherein the memory includes a computer program stored therein that includes instructions that are executed by the processor for creating tokens by: receiving a reference data entry that includes a plurality of pre-approved, standardized string, reference strings, and one or more associated codes, wherein each associated code is associated with plurality of pre-approved, standardized string, reference strings; creating a plurality of tokens for the received reference data entry, wherein each token is tied to an associated code; splitting the reference data entry into separate words by searching for delimiting characters; for each word that the reference entry has been split into, randomly selecting a random number of characters from a randomly selected location in one of the separate words; creating new tokens from the randomly selected characters; adding new tokens created from the randomly selected characters to the configuration data if the new tokens are unique; comparing the new tokens from each word in the reference entry to each reference string and every other existing token in the configuration data, if any, to determine if the one or more tokens are unique wherein if one token of the one or more tokens is determined to not be unique, discarding the non-unique token and creating a new, different token if possible; continue repeating the random selecting characters and comparing until finished processing the standardized string in the reference data; formatting the plurality of tokens with operations codes (opcodes) that provides additional information about the tokens, wherein the plurality of tokens is used to interpret non-reference data and associate the non-reference data to one of the one or more associated codes; and writing the formatted token into the token database. | 8. A system for text interpretation and normalization, comprising: a computer including a processor and memory, wherein the memory includes a computer program stored therein that includes instructions that are executed by the processor for creating tokens by: receiving a reference data entry that includes a plurality of pre-approved, standardized string, reference strings, and one or more associated codes, wherein each associated code is associated with plurality of pre-approved, standardized string, reference strings; creating a plurality of tokens for the received reference data entry, wherein each token is tied to an associated code; splitting the reference data entry into separate words by searching for delimiting characters; for each word that the reference entry has been split into, randomly selecting a random number of characters from a randomly selected location in one of the separate words; creating new tokens from the randomly selected characters; adding new tokens created from the randomly selected characters to the configuration data if the new tokens are unique; comparing the new tokens from each word in the reference entry to each reference string and every other existing token in the configuration data, if any, to determine if the one or more tokens are unique wherein if one token of the one or more tokens is determined to not be unique, discarding the non-unique token and creating a new, different token if possible; continue repeating the random selecting characters and comparing until finished processing the standardized string in the reference data; formatting the plurality of tokens with operations codes (opcodes) that provides additional information about the tokens, wherein the plurality of tokens is used to interpret non-reference data and associate the non-reference data to one of the one or more associated codes; and writing the formatted token into the token database. 11. The system of claim 8 wherein the memory further includes a computer program stored therein that includes instructions that are executed by the processor for interpreting non-reference strings by: retrieving configuration data including the plurality of tokens, the opcodes, and codes associated with the tokens; selecting one inbound, non-reference string for interpretation; comparing tokens from the configuration data to the non-reference string to determine the best matching token; and applying the code associated with the best matching token to the non-reference string in order to normalize the non-reference string. | 0.5 |
9,600,496 | 1 | 5 | 1. A method for performing an image search using semantic entities, the method comprising: receiving, by one or more computing devices having one or more processors, a target image as a search query; identifying, by the one or more processors, at least one similar image that has at least one feature in common with the target image, the at least one similar image associated with one or more semantic entities, wherein each semantic entity defines a concept with a particular ontology; determining, by the one or more processors, at least one likely semantic entity to describe the target image using the one or more semantic entities associated with the at least one similar image; and using, by the one or more processors, the at least one likely semantic entity to provide search results for the target image. | 1. A method for performing an image search using semantic entities, the method comprising: receiving, by one or more computing devices having one or more processors, a target image as a search query; identifying, by the one or more processors, at least one similar image that has at least one feature in common with the target image, the at least one similar image associated with one or more semantic entities, wherein each semantic entity defines a concept with a particular ontology; determining, by the one or more processors, at least one likely semantic entity to describe the target image using the one or more semantic entities associated with the at least one similar image; and using, by the one or more processors, the at least one likely semantic entity to provide search results for the target image. 5. The method of claim 1 , further comprising providing the at least one likely semantic entity as a search result. | 0.92047 |
7,529,734 | 10 | 14 | 10. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for facilitating user queries to a database, the method comprising: determining one or more search fields from query criteria generated by a user in a client-side application; automatically generating one or more query criteria templates from the determined one or more search fields by extracting search-field names, search-field data types, and search-field length from a set of user interface metadata; obtaining search-field values from the query criteria; and representing the search-field names and search-field values in XML format which can be stored in a column of the record corresponding to the one or more query criteria templates; storing the one or more query criteria templates in a single template table in the database, wherein the query template table comprises rows and columns, wherein each row in the query template table corresponds to a query criteria template and comprises one or more of template name, user name, creation time, and flag type corresponding to a specific query criteria template record, and wherein a query criteria template contains information on search-field names and search-field values for a query; and allowing a user to select a template from the stored templates prior to performing a query, thereby reducing manual entry of search-field values for similar queries. | 10. A computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for facilitating user queries to a database, the method comprising: determining one or more search fields from query criteria generated by a user in a client-side application; automatically generating one or more query criteria templates from the determined one or more search fields by extracting search-field names, search-field data types, and search-field length from a set of user interface metadata; obtaining search-field values from the query criteria; and representing the search-field names and search-field values in XML format which can be stored in a column of the record corresponding to the one or more query criteria templates; storing the one or more query criteria templates in a single template table in the database, wherein the query template table comprises rows and columns, wherein each row in the query template table corresponds to a query criteria template and comprises one or more of template name, user name, creation time, and flag type corresponding to a specific query criteria template record, and wherein a query criteria template contains information on search-field names and search-field values for a query; and allowing a user to select a template from the stored templates prior to performing a query, thereby reducing manual entry of search-field values for similar queries. 14. The computer-readable storage medium of claim 10 , wherein the method further comprises: receiving a query to retrieve one or more templates selected by the user; retrieving a template selected by the user; and communicating the retrieved template to a middle-tier server or a client, thereby allowing the template to be parsed. | 0.5 |
9,160,852 | 1 | 3 | 1. A method for analyzing a conversation between a customer and a call center agent in real-time, wherein the agent is located at an agent station having a display screen, the method comprising: receiving a continuous audio feed of the conversation between the customer and the call center agent; calculating, in real-time during the conversation, a customer emotion score for every second that the customer is speaking; calculating, in real-time during the conversation, a frequency at which calculated customer emotion scores equal or exceed an emotion score threshold value during a specified time interval that is less than the entire conversation, wherein calculating the frequency comprises determining a number of calculated customer emotions scores that equal or exceed the emotion score threshold during the specified time interval; comparing, in real-time during the conversation, the calculated frequency for the customer to a plurality of specified frequency thresholds; displaying, in real-time on the display screen of the agent station during the conversation, a visual representation corresponding to a highest of the plurality of specified frequency thresholds that is equaled or exceeded by the calculated frequency for the customer; recording the conversation between the call center agent and the customer; storing the calculated emotion scores for the customer; tagging the recorded conversation with event tags, wherein: each event tag represents the calculated frequency, and in response to a selection of an event tag, corresponding calculated customer emotion scores are displayed; and identifying specified emotions and specified word/phrase events that were generated during the recorded conversations. | 1. A method for analyzing a conversation between a customer and a call center agent in real-time, wherein the agent is located at an agent station having a display screen, the method comprising: receiving a continuous audio feed of the conversation between the customer and the call center agent; calculating, in real-time during the conversation, a customer emotion score for every second that the customer is speaking; calculating, in real-time during the conversation, a frequency at which calculated customer emotion scores equal or exceed an emotion score threshold value during a specified time interval that is less than the entire conversation, wherein calculating the frequency comprises determining a number of calculated customer emotions scores that equal or exceed the emotion score threshold during the specified time interval; comparing, in real-time during the conversation, the calculated frequency for the customer to a plurality of specified frequency thresholds; displaying, in real-time on the display screen of the agent station during the conversation, a visual representation corresponding to a highest of the plurality of specified frequency thresholds that is equaled or exceeded by the calculated frequency for the customer; recording the conversation between the call center agent and the customer; storing the calculated emotion scores for the customer; tagging the recorded conversation with event tags, wherein: each event tag represents the calculated frequency, and in response to a selection of an event tag, corresponding calculated customer emotion scores are displayed; and identifying specified emotions and specified word/phrase events that were generated during the recorded conversations. 3. The method of claim 1 , further comprising: calculating, in real-time during the conversation, an agent emotion score for every second that the agent is speaking; calculating, in real-time during the conversation, a frequency at which calculated agent emotion scores equal or exceed the emotion score threshold during the specified time interval; comparing, in real-time during the conversation, the calculated frequency for the agent to the plurality of specified frequency thresholds; displaying, in real-time on the display screen of the agent station during the conversation, a visual representation corresponding to a highest of the plurality of specified frequency thresholds that is equaled or exceeded by the calculated frequency for the agent. | 0.5 |
9,424,351 | 10 | 15 | 10. A method for utilizing a hybrid-distribution system for identifying relevant documents based on a search query, the method comprising: allocating a group of documents to a segment, the group of documents being indexed by atom in a reverse index and indexed by document in a forward index, atoms in the reverse index are accessed in a matching process and a preliminary ranking process and documents in the forward index are accessed in a final ranking process; storing a different portion of the reverse index and the forward index on each of a plurality of nodes that form the segment; first, accessing the reverse index portion stored on each of a first set of nodes having portions of the reverse index; identifying a first set of documents that is relevant to the search query, wherein the first set of documents is identified as being relevant to the search query by way of the matching process and the preliminary ranking process; second, based on document identifications associated with the first set of documents, accessing the forward index portion stored on each of a second set of nodes having portions of the forward index; identifying a second set of documents from the first set of documents, wherein the second set of documents is identified by way of the final ranking process; limiting a quantity of relevant documents in the first set of documents identified to the second set of documents; and communicating for presentation search results for the search query based on the second set of documents. | 10. A method for utilizing a hybrid-distribution system for identifying relevant documents based on a search query, the method comprising: allocating a group of documents to a segment, the group of documents being indexed by atom in a reverse index and indexed by document in a forward index, atoms in the reverse index are accessed in a matching process and a preliminary ranking process and documents in the forward index are accessed in a final ranking process; storing a different portion of the reverse index and the forward index on each of a plurality of nodes that form the segment; first, accessing the reverse index portion stored on each of a first set of nodes having portions of the reverse index; identifying a first set of documents that is relevant to the search query, wherein the first set of documents is identified as being relevant to the search query by way of the matching process and the preliminary ranking process; second, based on document identifications associated with the first set of documents, accessing the forward index portion stored on each of a second set of nodes having portions of the forward index; identifying a second set of documents from the first set of documents, wherein the second set of documents is identified by way of the final ranking process; limiting a quantity of relevant documents in the first set of documents identified to the second set of documents; and communicating for presentation search results for the search query based on the second set of documents. 15. The method of claim 10 , wherein the forward index portion stored on each node in the second set of nodes contains at least one of the document identifications associated with the first set of documents. | 0.582661 |
8,428,359 | 1 | 3 | 1. A method of inputting a series of characters into an electronic device comprising a display, the method comprising: detecting a first input associated with a first one of a plurality of discrete areas of the display for entering characters on the display, wherein the first input comprises an initiation stage and a composition stage, the composition stage comprising a plurality of drag actions; associating one of the plurality of discrete areas with the first input from the position of the initiation stage of the first input and continuing the association when the composition stage of the first input extends outside of the discrete area in which the initiation stage occurred so long as each of the plurality of drag actions is initiated within the discrete area; and recognizing the first input in the first one of the plurality of discrete areas as a first character input while a second one of the plurality of discrete areas is operable to detect a second input for recognition as a second character input, the recognition of the second character input occurring separately to the recognition of the first character input. | 1. A method of inputting a series of characters into an electronic device comprising a display, the method comprising: detecting a first input associated with a first one of a plurality of discrete areas of the display for entering characters on the display, wherein the first input comprises an initiation stage and a composition stage, the composition stage comprising a plurality of drag actions; associating one of the plurality of discrete areas with the first input from the position of the initiation stage of the first input and continuing the association when the composition stage of the first input extends outside of the discrete area in which the initiation stage occurred so long as each of the plurality of drag actions is initiated within the discrete area; and recognizing the first input in the first one of the plurality of discrete areas as a first character input while a second one of the plurality of discrete areas is operable to detect a second input for recognition as a second character input, the recognition of the second character input occurring separately to the recognition of the first character input. 3. A method as claimed in claim 1 , wherein a character input comprises a single character. | 0.830855 |
7,870,129 | 1 | 5 | 1. A method for handling error documents, comprising: storing, using a computer including a processor, one or more entries for valid documents and one or more entries for error documents in a documents portion of a text index and storing tokens from the valid documents in a posting lists portion of the text index, wherein each of the entries includes a first field and a second field, wherein the first field for a valid document is indexable and stores one or more tokens forming document text, wherein the first field for an error document is not indexable and stores an error message, and wherein the second field stores an indication of whether the document is an error document; fetching a document with a document identifier; and in response to determining that the document is an error document, adding an entry in the documents portion of the text index that includes an error message in a field that is not searchable in response to a search request using one or more tokens to locate one or more documents indexed by the text index. | 1. A method for handling error documents, comprising: storing, using a computer including a processor, one or more entries for valid documents and one or more entries for error documents in a documents portion of a text index and storing tokens from the valid documents in a posting lists portion of the text index, wherein each of the entries includes a first field and a second field, wherein the first field for a valid document is indexable and stores one or more tokens forming document text, wherein the first field for an error document is not indexable and stores an error message, and wherein the second field stores an indication of whether the document is an error document; fetching a document with a document identifier; and in response to determining that the document is an error document, adding an entry in the documents portion of the text index that includes an error message in a field that is not searchable in response to a search request using one or more tokens to locate one or more documents indexed by the text index. 5. The method of claim 1 , further comprising: in response to determining that the document does have an entry in the text index, deleting the entry; and adding a new entry for the document in the text index. | 0.831169 |
7,583,647 | 1 | 15 | 1. An apparatus, comprising: a processor configured to receive tokens and to provide the tokens to a plurality of different pools, wherein each of the plurality of different pools is associated with a different server, and wherein one pool of the plurality of different pools is configured to hold M tokens, and remove tokens from said plurality of different pools, wherein said processor is configured such that, when it is determined that a server request is of a type that requires at least one token to be removed from said one pool for said server request to be handled, and that said server request requires a determined number of tokens to be removed from said one pool for said server request to be handled, then said server request is handled when said one pool contains said determined number of tokens for said request and said determined number of tokens is removed when said server request is handled by the server with which said one pool is associated. | 1. An apparatus, comprising: a processor configured to receive tokens and to provide the tokens to a plurality of different pools, wherein each of the plurality of different pools is associated with a different server, and wherein one pool of the plurality of different pools is configured to hold M tokens, and remove tokens from said plurality of different pools, wherein said processor is configured such that, when it is determined that a server request is of a type that requires at least one token to be removed from said one pool for said server request to be handled, and that said server request requires a determined number of tokens to be removed from said one pool for said server request to be handled, then said server request is handled when said one pool contains said determined number of tokens for said request and said determined number of tokens is removed when said server request is handled by the server with which said one pool is associated. 15. An apparatus as claimed in claim 1 , wherein the apparatus comprises or is part of a server. | 0.773585 |
6,151,703 | 1 | 5 | 1. In a computer system for executing a program comprising a plurality of methods compiled into bytecode for interpretation at runtime by a runtime interpreter, a method for improving runtime execution of said program comprising: creating a compiled code slot in memory which is associated with a particular method, said compiled code slot for storing a pointer to a memory address; initializing the compiled code slot to store a pointer to a handler, said handler for invoking compilation of said particular method; upon first invocation of the particular method, invoking said handler for performing substeps comprising: (i) compiling said particular method into a compiled method comprising native machine code for a target microprocessor, including mapping bytecode for a method being called into native machine code for execution by a target microprocessor, (ii) storing in the compiled code slot a pointer to said compiled method, including generating a machine code call instruction for transferring execution of the program to said compiled method that is located at a memory address pointed to by the pointer stored in said compiled code slot, so that the particular method can be accessed by a method which is itself compiled into native machine code for the target microprocessor, and (iii) executing said particular method by executing the compiled method comprising native machine code for the target microprocessor; and upon subsequent invocation of the particular method by a method which is itself compiled into native machine code for the target microprocessor, executing said particular method by executing the compiled method which is pointed to by the pointer stored in the compiled code slot for said particular method. | 1. In a computer system for executing a program comprising a plurality of methods compiled into bytecode for interpretation at runtime by a runtime interpreter, a method for improving runtime execution of said program comprising: creating a compiled code slot in memory which is associated with a particular method, said compiled code slot for storing a pointer to a memory address; initializing the compiled code slot to store a pointer to a handler, said handler for invoking compilation of said particular method; upon first invocation of the particular method, invoking said handler for performing substeps comprising: (i) compiling said particular method into a compiled method comprising native machine code for a target microprocessor, including mapping bytecode for a method being called into native machine code for execution by a target microprocessor, (ii) storing in the compiled code slot a pointer to said compiled method, including generating a machine code call instruction for transferring execution of the program to said compiled method that is located at a memory address pointed to by the pointer stored in said compiled code slot, so that the particular method can be accessed by a method which is itself compiled into native machine code for the target microprocessor, and (iii) executing said particular method by executing the compiled method comprising native machine code for the target microprocessor; and upon subsequent invocation of the particular method by a method which is itself compiled into native machine code for the target microprocessor, executing said particular method by executing the compiled method which is pointed to by the pointer stored in the compiled code slot for said particular method. 5. The method of claim 1, wherein said target microprocessor comprises an Intel-compatible 80.times.86 microprocessor. | 0.69898 |
9,886,546 | 18 | 19 | 18. A system, comprising: a processor to: a) obtain user input, via a data input, identifying a point corresponding to a vertebra on a spinal image; b) in response to the user input, use the user input to determine a number of viewable vertebrae on the spinal image; c) identify points on the spinal image corresponding to respective vertebrae based on the determined number of viewable vertebrae; d) generate annotations on the spinal image corresponding to each of the determined number of viewable vertebrae, the annotations anatomically labeling and distinguishing between two or more immediately adjacent vertebrae on the spinal image using contextual-information feature vectors, wherein the contextual-information feature vectors encode the identified points with information of at least one of size, shape, orientation, or relationships to neighboring structures; e) to cause the spinal image having the annotations to be displayed at a user interface, the processor is to prompt a user to provide first subsequent user input identifying a point corresponding to an error in the previously generated annotations; f) in response to receiving the first subsequent user input, the processor is to update the identified points and contextual-information feature vectors for the updated identified points, to automatically generate subsequent annotations on the spinal image using the updated contextual-information feature vectors in response to receiving the first subsequent user input, the subsequent annotations to correct the error in the previously generated annotations; and g) receive second subsequent user input, wherein when the second subsequent user input identifies an error within the previously generated annotations, repeat e)-g), and when the second subsequent user input does not identify an error within the previously generated annotations, validate the previously generated annotations in association with the spinal image, and cause the previously generated annotations to be stored in a database in association with the spinal image. | 18. A system, comprising: a processor to: a) obtain user input, via a data input, identifying a point corresponding to a vertebra on a spinal image; b) in response to the user input, use the user input to determine a number of viewable vertebrae on the spinal image; c) identify points on the spinal image corresponding to respective vertebrae based on the determined number of viewable vertebrae; d) generate annotations on the spinal image corresponding to each of the determined number of viewable vertebrae, the annotations anatomically labeling and distinguishing between two or more immediately adjacent vertebrae on the spinal image using contextual-information feature vectors, wherein the contextual-information feature vectors encode the identified points with information of at least one of size, shape, orientation, or relationships to neighboring structures; e) to cause the spinal image having the annotations to be displayed at a user interface, the processor is to prompt a user to provide first subsequent user input identifying a point corresponding to an error in the previously generated annotations; f) in response to receiving the first subsequent user input, the processor is to update the identified points and contextual-information feature vectors for the updated identified points, to automatically generate subsequent annotations on the spinal image using the updated contextual-information feature vectors in response to receiving the first subsequent user input, the subsequent annotations to correct the error in the previously generated annotations; and g) receive second subsequent user input, wherein when the second subsequent user input identifies an error within the previously generated annotations, repeat e)-g), and when the second subsequent user input does not identify an error within the previously generated annotations, validate the previously generated annotations in association with the spinal image, and cause the previously generated annotations to be stored in a database in association with the spinal image. 19. The system of claim 18 , wherein the processor is to cause the spinal image having the subsequent annotations to be displayed at the user interface and to prompt the user to provide second subsequent user input. | 0.5 |
9,678,946 | 1 | 6 | 1. A method of automatically generating a lemma dictionary from a web resource, the method comprising: extracting a plurality of tokens from text-based documents within the web resource; generating a plurality of N-grams from the plurality of tokens; receiving one or more filter definitions that identify valid N-grams; filtering the plurality of N-grams using the one or more filter definitions to generate a lemma dictionary; generating an ontology that comprises the lemma dictionary; causing a user interface to display a network of nodes representing the lemma dictionary; and receiving one or more inputs that assign ontology relationships to the network of nodes. | 1. A method of automatically generating a lemma dictionary from a web resource, the method comprising: extracting a plurality of tokens from text-based documents within the web resource; generating a plurality of N-grams from the plurality of tokens; receiving one or more filter definitions that identify valid N-grams; filtering the plurality of N-grams using the one or more filter definitions to generate a lemma dictionary; generating an ontology that comprises the lemma dictionary; causing a user interface to display a network of nodes representing the lemma dictionary; and receiving one or more inputs that assign ontology relationships to the network of nodes. 6. The method of claim 1 wherein the one or more filter definitions comprises a part-of-speech filter for individual tokens in an N-gram. | 0.690045 |
9,864,796 | 11 | 14 | 11. A system enabling instantiating a database having a database schema corresponding to a unified modeling language (UML) specification, the system comprising: one or more computer processors; and one or more physical computer-readable storage devices having stored thereon computer-executable instructions that, when executed by the one or more computer processors, cause the system to perform a method, the method including: extracting a plurality of model elements from a unified modeling language (UML) specification, the unified modeling language (UML) specification being defined by a first model comprising a plurality of model elements that defines the unified modeling language (UML) specification, the first model being usable to define software system structure, software system behavior, and software system architecture for one or more particular software systems; generating at least one declarative-language coding pattern based on a plurality of transform directives, the declarative language coding pattern defining at least a portion of a database having a database schema representing the plurality of model elements defining the UML specification; translating the generated at least one declarative-language coding pattern into at least one Structured Query Language (SQL) statement that, when executed, can instantiate at least a portion of a database having a database schema representing the plurality of model elements defining the UML specification; and instantiating within a data storage system, by executing the first set of one or more SQL statements, the at least a portion of a relational database having a database schema representing the plurality of model elements defining the UML specification. | 11. A system enabling instantiating a database having a database schema corresponding to a unified modeling language (UML) specification, the system comprising: one or more computer processors; and one or more physical computer-readable storage devices having stored thereon computer-executable instructions that, when executed by the one or more computer processors, cause the system to perform a method, the method including: extracting a plurality of model elements from a unified modeling language (UML) specification, the unified modeling language (UML) specification being defined by a first model comprising a plurality of model elements that defines the unified modeling language (UML) specification, the first model being usable to define software system structure, software system behavior, and software system architecture for one or more particular software systems; generating at least one declarative-language coding pattern based on a plurality of transform directives, the declarative language coding pattern defining at least a portion of a database having a database schema representing the plurality of model elements defining the UML specification; translating the generated at least one declarative-language coding pattern into at least one Structured Query Language (SQL) statement that, when executed, can instantiate at least a portion of a database having a database schema representing the plurality of model elements defining the UML specification; and instantiating within a data storage system, by executing the first set of one or more SQL statements, the at least a portion of a relational database having a database schema representing the plurality of model elements defining the UML specification. 14. The system as in claim 11 , wherein the plurality of transform directives include at least one general transform directive applied to the first model as a whole and at least one class-specific transform directive applied to at least one of the plurality of model elements. | 0.583082 |
8,260,764 | 1 | 9 | 1. A method for searching semistructured data comprising: determining an object type to be searched; accessing an object type definition for the object type; providing a user interface to a user via a display device based on the object type definition for the object type, wherein the object type definition specifies a set of attributes representing metadata for data objects instantiated according to the object type, wherein the user interface allows the user to specify search criteria associated with the metadata; mapping the user search criteria to a query, wherein the query comprises at least one structured query constraint and at least one unstructured query constraint; processing the query to search a set of metadata for a set of data objects instantiated based on the object type according to the query, wherein each data object comprises semistructured data; and returning a set of results to the user over a network connection as a report based on user specified reporting parameters. | 1. A method for searching semistructured data comprising: determining an object type to be searched; accessing an object type definition for the object type; providing a user interface to a user via a display device based on the object type definition for the object type, wherein the object type definition specifies a set of attributes representing metadata for data objects instantiated according to the object type, wherein the user interface allows the user to specify search criteria associated with the metadata; mapping the user search criteria to a query, wherein the query comprises at least one structured query constraint and at least one unstructured query constraint; processing the query to search a set of metadata for a set of data objects instantiated based on the object type according to the query, wherein each data object comprises semistructured data; and returning a set of results to the user over a network connection as a report based on user specified reporting parameters. 9. The method of claim 1 , further comprising presenting the user with a report interface based on the object type definition that allows the user to specify the reporting parameters. | 0.5 |
9,779,168 | 8 | 9 | 8. A non-transitory storage storing instructions which, when processed by one or more processors, cause: at a local device, while a search query is being formulated by a user in a search box of one or more applications displayed at the local device, automatically displaying, separate from the search query a set of one or more selected quick-picks, wherein the set of one or more selected quick-picks is selected based, at least in part, on a current context associated with displayed content in the one or more applications executing on the local device, wherein the displayed content is different and distinct from the search box and the search query; receiving, at the local device, user input that selects a particular quick-pick from the set of one or more selected quick-picks; in response to receiving, at the local device, the user input, adding, in the search box displayed at the local device, the particular quick-pick as a separate term to the search query and allowing the search query including the separate term to continue to be formulated by the user in the search box displayed at the local device; displaying a second set of one or more quick-picks in response to the user input that selects the particular quick-pick from the set of one or more selected quick-picks, wherein the second set of one or more quick-picks includes at least one additional quick-pick that: (a) was not in the set of one or more selected quick-picks, and (b) was selected to be a quick-pick based, at least in part, on an association between the at least one additional quick-pick and the particular quick-pick; receiving user input that deselects the particular quick-pick from the set of one or more selected quick-picks; and in response to the user input that deselects the particular quick-pick from the set of one or more selected quick-picks, automatically removing the separate term from the search query. | 8. A non-transitory storage storing instructions which, when processed by one or more processors, cause: at a local device, while a search query is being formulated by a user in a search box of one or more applications displayed at the local device, automatically displaying, separate from the search query a set of one or more selected quick-picks, wherein the set of one or more selected quick-picks is selected based, at least in part, on a current context associated with displayed content in the one or more applications executing on the local device, wherein the displayed content is different and distinct from the search box and the search query; receiving, at the local device, user input that selects a particular quick-pick from the set of one or more selected quick-picks; in response to receiving, at the local device, the user input, adding, in the search box displayed at the local device, the particular quick-pick as a separate term to the search query and allowing the search query including the separate term to continue to be formulated by the user in the search box displayed at the local device; displaying a second set of one or more quick-picks in response to the user input that selects the particular quick-pick from the set of one or more selected quick-picks, wherein the second set of one or more quick-picks includes at least one additional quick-pick that: (a) was not in the set of one or more selected quick-picks, and (b) was selected to be a quick-pick based, at least in part, on an association between the at least one additional quick-pick and the particular quick-pick; receiving user input that deselects the particular quick-pick from the set of one or more selected quick-picks; and in response to the user input that deselects the particular quick-pick from the set of one or more selected quick-picks, automatically removing the separate term from the search query. 9. The non-transitory storage of claim 8 , wherein: the content on the local device when formulation of the search query was initiated includes an of-interest page; and the set of one or more selected quick-picks is selected based, at least in part, on content of the of-interest page. | 0.558824 |
8,576,049 | 12 | 15 | 12. A system for document authentication and identification, comprising: an encoder configured to execute on a processing unit and perform a method comprising: receiving a digitized document; creating a set of markers associated with identification information; determining whether permission is given to modify semantic content of the digitized document; selecting an encoding strategy to apply the set of markers to the digitized document as identifying tags to produce an encoded document based on the determination whether permission is given to modify the semantic content of the digitized document, wherein the encoding strategy includes retaining the semantic content of the digitized document based on determining that permission to modify the semantic content of the digitized document is not given, and the encoding strategy includes modifying the semantic content of the digitized document based on determining that permission to modify the semantic content of the digitized document is given; applying the set of markers to the digitized document according to the encoding strategy to produce an encoded document with one or more characters replaced or rearranged; and storing a record of the set of markers and encoding strategy associated with the encoded document as encoding history; and a decoder configured to execute on the processing unit and perform a method comprising: receiving a returned digitized document; comparing the returned digitized document to the set of markers to determine whether the returned digitized document is the encoded document with one or more characters replaced or rearranged; in response to determining that the returned digitized document is the encoded with one or more characters replaced or rearranged, extracting information from the set of markers according to the encoding strategy; and comparing the extracted information and the set of markers with data stored in the encoding history to authenticate and identify the returned digitized document. | 12. A system for document authentication and identification, comprising: an encoder configured to execute on a processing unit and perform a method comprising: receiving a digitized document; creating a set of markers associated with identification information; determining whether permission is given to modify semantic content of the digitized document; selecting an encoding strategy to apply the set of markers to the digitized document as identifying tags to produce an encoded document based on the determination whether permission is given to modify the semantic content of the digitized document, wherein the encoding strategy includes retaining the semantic content of the digitized document based on determining that permission to modify the semantic content of the digitized document is not given, and the encoding strategy includes modifying the semantic content of the digitized document based on determining that permission to modify the semantic content of the digitized document is given; applying the set of markers to the digitized document according to the encoding strategy to produce an encoded document with one or more characters replaced or rearranged; and storing a record of the set of markers and encoding strategy associated with the encoded document as encoding history; and a decoder configured to execute on the processing unit and perform a method comprising: receiving a returned digitized document; comparing the returned digitized document to the set of markers to determine whether the returned digitized document is the encoded document with one or more characters replaced or rearranged; in response to determining that the returned digitized document is the encoded with one or more characters replaced or rearranged, extracting information from the set of markers according to the encoding strategy; and comparing the extracted information and the set of markers with data stored in the encoding history to authenticate and identify the returned digitized document. 15. The system of claim 12 wherein when it is determined that permission is given to modify the semantic content of the digitized document, the encoding strategy includes inserting one or more of a signature quote and modify sentence syntax for at least one sentence in response to receiving permission to modify the semantic content of the digitized document; and further wherein the decoder is configured to determine that the set of markers comprise at least one of: an inserted signature quote with information encoded in characters of the signature quote, and a modified sentence syntax with the information encoded in a modified location. | 0.5 |
9,053,102 | 1 | 4 | 1. A method for deriving and utilizing a context object to generate a synthetic context-based object, the method comprising: deriving, by one or more processors, a context object for a non-contextual data object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein the context object provides a context that identifies a specific subject-matter, from multiple subject-matters, of the non-contextual data object, and wherein the context object is derived by contextually searching and analyzing a document, which contains multiple instances of the non-contextual data object, to derive the context object; establishing a minimum validity threshold for the context object, wherein the minimum validity threshold defines a probability that a derived context object accurately describes the context of the non-contextual data object; expanding a range of a search area of the document until the minimum validity threshold is reached; associating, by one or more processors, the non-contextual data object with the context object to define a synthetic context-based object; associating, by one or more processors, the synthetic context-based object with at least one specific data store, wherein said at least one specific data store comprises data that is associated with data contained in the non-contextual data object and the context object; constructing, by one or more processors, a dimensionally constrained hierarchical synthetic context-based object library for multiple synthetic context-based objects, wherein synthetic context-based objects within a same dimension of the dimensionally constrained hierarchical synthetic context-based object library share data from a same non-contextual data object, and wherein synthetic context-based objects within the same dimension of the dimensionally constrained hierarchical synthetic context-based object library contain disparate data from different context objects; receiving, from a requester, a request for at least one data store that is associated with synthetic context-based objects within the same dimension of the dimensionally constrained hierarchical synthetic context-based object library; and returning, to the requester, said at least one specific data store that is associated with synthetic context-based objects within the same dimension of the dimensionally constrained hierarchical synthetic context-based object library. | 1. A method for deriving and utilizing a context object to generate a synthetic context-based object, the method comprising: deriving, by one or more processors, a context object for a non-contextual data object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein the context object provides a context that identifies a specific subject-matter, from multiple subject-matters, of the non-contextual data object, and wherein the context object is derived by contextually searching and analyzing a document, which contains multiple instances of the non-contextual data object, to derive the context object; establishing a minimum validity threshold for the context object, wherein the minimum validity threshold defines a probability that a derived context object accurately describes the context of the non-contextual data object; expanding a range of a search area of the document until the minimum validity threshold is reached; associating, by one or more processors, the non-contextual data object with the context object to define a synthetic context-based object; associating, by one or more processors, the synthetic context-based object with at least one specific data store, wherein said at least one specific data store comprises data that is associated with data contained in the non-contextual data object and the context object; constructing, by one or more processors, a dimensionally constrained hierarchical synthetic context-based object library for multiple synthetic context-based objects, wherein synthetic context-based objects within a same dimension of the dimensionally constrained hierarchical synthetic context-based object library share data from a same non-contextual data object, and wherein synthetic context-based objects within the same dimension of the dimensionally constrained hierarchical synthetic context-based object library contain disparate data from different context objects; receiving, from a requester, a request for at least one data store that is associated with synthetic context-based objects within the same dimension of the dimensionally constrained hierarchical synthetic context-based object library; and returning, to the requester, said at least one specific data store that is associated with synthetic context-based objects within the same dimension of the dimensionally constrained hierarchical synthetic context-based object library. 4. The method of claim 1 , wherein the document is a video file. | 0.972222 |
9,240,188 | 19 | 20 | 19. The method of claim 18 wherein the performing the acoustic analysis on the key child recordings includes transforming the audio recording to reveal formant contours, formant bandwidths, pitch contours, spectral analysis, and duration analysis. | 19. The method of claim 18 wherein the performing the acoustic analysis on the key child recordings includes transforming the audio recording to reveal formant contours, formant bandwidths, pitch contours, spectral analysis, and duration analysis. 20. The method of claim 19 , wherein the acoustic analysis is used to perform the extracting of the acoustic parameters of the key child recordings. | 0.5 |
7,877,397 | 1 | 3 | 1. A computer-implemented system comprising at least one processor coupled to at least one machine-readable storage medium storing instructions executable by the at least one processor to implement: a transformation component configured to receive a canonical representation of an object-oriented query in a form of a command tree structure with nodes representing at least one of entity constructs or expressions associated with computational operations and data types; a plan compilation component configured to transform the canonical representation into a flattened command tree; a data model platform configured to provide services common to a plurality of disparate application frameworks, the services including support of the object-oriented query via object-relational mappings; a data reader object configured to return results from execution of the flattened command tree against a relational database; a column mapper configured to assemble the results into a nested instruction-type command tree; a query processor component; a sessions and transactions component; an object cache including a session cache and an explicit cache; a services component configured to perform change tracking and conflict detection; a cursors and rules component; a business logic hosting component; and a persistence and query engine configured to provide core persistence and query services. | 1. A computer-implemented system comprising at least one processor coupled to at least one machine-readable storage medium storing instructions executable by the at least one processor to implement: a transformation component configured to receive a canonical representation of an object-oriented query in a form of a command tree structure with nodes representing at least one of entity constructs or expressions associated with computational operations and data types; a plan compilation component configured to transform the canonical representation into a flattened command tree; a data model platform configured to provide services common to a plurality of disparate application frameworks, the services including support of the object-oriented query via object-relational mappings; a data reader object configured to return results from execution of the flattened command tree against a relational database; a column mapper configured to assemble the results into a nested instruction-type command tree; a query processor component; a sessions and transactions component; an object cache including a session cache and an explicit cache; a services component configured to perform change tracking and conflict detection; a cursors and rules component; a business logic hosting component; and a persistence and query engine configured to provide core persistence and query services. 3. The computer-implemented system of claim 1 , further comprising a result assembly component configured to construct nested structures from the results. | 0.598958 |
8,782,037 | 25 | 27 | 25. The method of claim 1 , further comprising determining at least one change to the initial mark-up language document according to said analyzed response. | 25. The method of claim 1 , further comprising determining at least one change to the initial mark-up language document according to said analyzed response. 27. The method of claim 25 , wherein said determining said at least one change comprises increasing phrase density of at least one phrase in said initial mark-up language document. | 0.667897 |
8,285,542 | 16 | 18 | 16. The system of claim 10 , wherein the corpus of directory assistance listings is divided into categories, and the one or more characteristics comprise an importance measure based on a frequency of occurrence of the word in the category to which the listing, that contains the word, belongs. | 16. The system of claim 10 , wherein the corpus of directory assistance listings is divided into categories, and the one or more characteristics comprise an importance measure based on a frequency of occurrence of the word in the category to which the listing, that contains the word, belongs. 18. The system of claim 16 , wherein the importance measure is calculated based on a maximum mutual information value for the word in the category. | 0.546296 |
8,401,851 | 17 | 20 | 17. The non-transitory computer readable storage medium of claim 15 , further comprising instructions that, when executed by the processor, cause the processor to input a plurality of utterance recordings to the speech recognition device. | 17. The non-transitory computer readable storage medium of claim 15 , further comprising instructions that, when executed by the processor, cause the processor to input a plurality of utterance recordings to the speech recognition device. 20. The non-transitory computer readable storage medium of claim 17 , further comprising instructions that, when executed by the processor, cause the processor to determine the threshold from a table of thresholds for each of a plurality of utterance types. | 0.529304 |
7,735,012 | 9 | 12 | 9. Computer readable medium for storing computer code for efficiently navigating an audible user interface at a portable computing device arranged to store a plurality of media items, the computer readable medium comprising: computer code for displaying a menu having a list of navigation icons, each of which corresponds to a navigation command for assisting the user in navigating the plurality of media items; computer code for navigating the plurality of menu items by receiving a user touch event on one of the navigation icons; computer code for playing an audibilized navigation command associated with the navigation icon on which the user touch event is received, wherein the playing is performed only during the touch event, wherein if the user decides not to select the associated menu item, then the user terminates the touch event prior to the completion of the playing of the audibilized navigation command; and computer code for receiving a selection user input event at the navigation icon that causes the portable computing device to execute the navigation command. | 9. Computer readable medium for storing computer code for efficiently navigating an audible user interface at a portable computing device arranged to store a plurality of media items, the computer readable medium comprising: computer code for displaying a menu having a list of navigation icons, each of which corresponds to a navigation command for assisting the user in navigating the plurality of media items; computer code for navigating the plurality of menu items by receiving a user touch event on one of the navigation icons; computer code for playing an audibilized navigation command associated with the navigation icon on which the user touch event is received, wherein the playing is performed only during the touch event, wherein if the user decides not to select the associated menu item, then the user terminates the touch event prior to the completion of the playing of the audibilized navigation command; and computer code for receiving a selection user input event at the navigation icon that causes the portable computing device to execute the navigation command. 12. The computer readable medium as recited in claim 9 , wherein the portable computing device is one of: a media player, a mobile phone or a personal digital assistant. | 0.85678 |
9,507,885 | 2 | 3 | 2. The computer based method of claim 1 , wherein the shape grammar comprises a set of rules for generating building letters from a building mass and at least one void object. | 2. The computer based method of claim 1 , wherein the shape grammar comprises a set of rules for generating building letters from a building mass and at least one void object. 3. The computer based method of claim 2 , wherein the shape grammar comprises a set of rules for generating building words from the building letters. | 0.5 |
8,938,450 | 17 | 18 | 17. The method of claim 1 , further comprising: presenting, via a user interface, the list of trending topics as scatters in a quadrant scatter plot, wherein a volume of a respective scatter indicates a size of a trending topic represented by the respective scatter. | 17. The method of claim 1 , further comprising: presenting, via a user interface, the list of trending topics as scatters in a quadrant scatter plot, wherein a volume of a respective scatter indicates a size of a trending topic represented by the respective scatter. 18. The method of claim 17 , further comprising: producing an animation of the quadrant scatter plot over a time period to reflect how the trending topics change in the plurality of microcontent messages. | 0.5 |
10,147,051 | 10 | 11 | 10. The computer program product of claim 9 , wherein the computer readable program to identify the input question as the explanatory question further causes the computing device to: compare the input question to a set of annotated questions in order to identify whether or not the input question is seeking an explanation of an underlying reasoning as to the existence of a particular fact; and responsive to the input question corresponding to one of the set of annotated questions, tag the input question as an ‘EXPLANATORY’ question. | 10. The computer program product of claim 9 , wherein the computer readable program to identify the input question as the explanatory question further causes the computing device to: compare the input question to a set of annotated questions in order to identify whether or not the input question is seeking an explanation of an underlying reasoning as to the existence of a particular fact; and responsive to the input question corresponding to one of the set of annotated questions, tag the input question as an ‘EXPLANATORY’ question. 11. The computer program product of claim 10 , wherein the computer readable program further causes the computing device to: add the explanatory question to the set of annotated questions for use in further training and prediction of future explanatory questions. | 0.5 |
10,114,873 | 1 | 3 | 1. A system comprising: a database system implemented using a server system comprising one or more processors, the database system configurable to cause: processing a post shared by a user of an online social network in a feed of the online social network, the post comprising textual content and being identifiable through one or more objects stored in a database, the feed being displayable in a user interface on a display device, the processing of the post comprising: identifying a first keyword of the textual content of the post as being preceded by a first tag to define a first tagged keyword, identifying a first data source specified by the first tag, the first data source being external to the database system, identifying a second keyword of the textual content of the post as being preceded by the first tag or a second tag to define a second tagged keyword, and identifying a second data source specified by the first tag or the second tag, the second data source being different from the first data source and being external to the database system; requesting a first search of the first data source using the first keyword; requesting a second search of the second data source using the second keyword; and processing a plurality of content records identified by the searches, the processing of the content records comprising: selecting one or more of the content records as satisfying criteria specifying one or more of: a visibility of a content record, a relevance of a content record, a designated data source for a content record, a type of a content record, an action to perform in association with a content record, or a time range for an action to be performed in association with a content record, and responsive to selecting the one or more content records as satisfying the criteria, automatically generating and sharing in the feed a comment on the post, the comment comprising at least a portion of record content of the selected one or more content records; selecting a further content record in accordance with further criteria, the further criteria being configurable using a settings interface; automatically generating and sharing in the feed one or more further comments on the post, the one or more further comments comprising at least a portion of record content of the selected further content record; and automatically generating, using one or more heuristics, a feed tracked update associated with the selected further content record. | 1. A system comprising: a database system implemented using a server system comprising one or more processors, the database system configurable to cause: processing a post shared by a user of an online social network in a feed of the online social network, the post comprising textual content and being identifiable through one or more objects stored in a database, the feed being displayable in a user interface on a display device, the processing of the post comprising: identifying a first keyword of the textual content of the post as being preceded by a first tag to define a first tagged keyword, identifying a first data source specified by the first tag, the first data source being external to the database system, identifying a second keyword of the textual content of the post as being preceded by the first tag or a second tag to define a second tagged keyword, and identifying a second data source specified by the first tag or the second tag, the second data source being different from the first data source and being external to the database system; requesting a first search of the first data source using the first keyword; requesting a second search of the second data source using the second keyword; and processing a plurality of content records identified by the searches, the processing of the content records comprising: selecting one or more of the content records as satisfying criteria specifying one or more of: a visibility of a content record, a relevance of a content record, a designated data source for a content record, a type of a content record, an action to perform in association with a content record, or a time range for an action to be performed in association with a content record, and responsive to selecting the one or more content records as satisfying the criteria, automatically generating and sharing in the feed a comment on the post, the comment comprising at least a portion of record content of the selected one or more content records; selecting a further content record in accordance with further criteria, the further criteria being configurable using a settings interface; automatically generating and sharing in the feed one or more further comments on the post, the one or more further comments comprising at least a portion of record content of the selected further content record; and automatically generating, using one or more heuristics, a feed tracked update associated with the selected further content record. 3. The system of claim 1 , the database system further configurable to cause: determining, based on the first tag, that it is permissible to search first data source for content. | 0.711039 |
8,392,190 | 1 | 5 | 1. A computer-implemented method of assessing spontaneous speech pronunciation, comprising: performing speech recognition on digitized speech using a non-native acoustic model trained with non-native speech using a processor to generate word hypotheses for the digitized speech; performing time alignment between the digitized speech and the word hypotheses utilizing a reference acoustic model trained with native-quality speech to associate the word hypotheses with corresponding sounds of the digitized speech; calculating statistics regarding individual words and phonemes of the word hypotheses using the processor based on said alignment; calculating a plurality of features for use in assessing pronunciation of the digitized speech based on the statistics using the processor; calculating an assessment score based on one or more of the calculated features; and storing the assessment score in a computer-readable memory. | 1. A computer-implemented method of assessing spontaneous speech pronunciation, comprising: performing speech recognition on digitized speech using a non-native acoustic model trained with non-native speech using a processor to generate word hypotheses for the digitized speech; performing time alignment between the digitized speech and the word hypotheses utilizing a reference acoustic model trained with native-quality speech to associate the word hypotheses with corresponding sounds of the digitized speech; calculating statistics regarding individual words and phonemes of the word hypotheses using the processor based on said alignment; calculating a plurality of features for use in assessing pronunciation of the digitized speech based on the statistics using the processor; calculating an assessment score based on one or more of the calculated features; and storing the assessment score in a computer-readable memory. 5. The method of claim 1 wherein the features are based on at least one of: Hidden Markov Model probabilities, average phoneme duration, average word duration, phoneme duration distribution, word duration distribution, energy measurements, energy distributions, pitch measurements, pitch distributions, and pitch contours. | 0.918933 |
8,930,380 | 17 | 19 | 17. The computer program product of claim 16 further comprising computer instructions for presenting the generated parser rule to the administrator of the first remote device. | 17. The computer program product of claim 16 further comprising computer instructions for presenting the generated parser rule to the administrator of the first remote device. 19. The computer program product of claim 17 further comprising computer instructions for receiving a modified version of the generated parser rule from the administrator of the first remote device. | 0.521739 |
7,788,134 | 39 | 41 | 39. The computing system of claim 35 , wherein modification of the map attribute changes the geographic area shown by the map. | 39. The computing system of claim 35 , wherein modification of the map attribute changes the geographic area shown by the map. 41. The computing system of claim 39 , wherein the map attribute is modifiable to define a geographic area on a scale that is smaller than a map currently provided by the display component. | 0.5 |
7,750,891 | 125 | 126 | 125. A process for selectable input based on motion of a pointing device in relation to a region, the process comprising the steps of: tracking the motion of the pointing device in relation to the region; determining a device path of the pointing device, comprising a plurality of positions and corresponding times, based upon the tracked motion; for subsequent positions and corresponding times, comparing to path data; detecting subsequent positions which meet at least one threshold of a selected position within the region; entering each of the selected positions which correspond to a selection; determining a distance between a current location of the pointing device and selectable positions within the region; determining a selectable position which is closest to the current location of the pointing device; and highlighting the determined closest selectable position. | 125. A process for selectable input based on motion of a pointing device in relation to a region, the process comprising the steps of: tracking the motion of the pointing device in relation to the region; determining a device path of the pointing device, comprising a plurality of positions and corresponding times, based upon the tracked motion; for subsequent positions and corresponding times, comparing to path data; detecting subsequent positions which meet at least one threshold of a selected position within the region; entering each of the selected positions which correspond to a selection; determining a distance between a current location of the pointing device and selectable positions within the region; determining a selectable position which is closest to the current location of the pointing device; and highlighting the determined closest selectable position. 126. The process of claim 125 , wherein the highlighting comprises any of a display and a magnification of the determined closest selectable position. | 0.5 |
8,140,499 | 15 | 18 | 15. A computer program product comprising a computer usable storage medium having stored therein computer usable program code, the computer usable program code, which when executed on a data processing hardware system, causes the data processing hardware system to perform: receiving, from a user, a query to a root context of a context tree, the query including a name and value pair; traversing, upon detecting the query to the root context of the context tree, the context tree for a parent context of a subcontext corresponding to the name and value pair; and determining whether the parent context caches all query results. | 15. A computer program product comprising a computer usable storage medium having stored therein computer usable program code, the computer usable program code, which when executed on a data processing hardware system, causes the data processing hardware system to perform: receiving, from a user, a query to a root context of a context tree, the query including a name and value pair; traversing, upon detecting the query to the root context of the context tree, the context tree for a parent context of a subcontext corresponding to the name and value pair; and determining whether the parent context caches all query results. 18. The computer program product of claim 15 , wherein the root context includes a set of objects corresponding to a bean type. | 0.87249 |
9,305,101 | 6 | 7 | 6. The computer readable storage medium of claim 1 , wherein the subset of the ordered words are configured to be displayed in the client application in a list proximate to a text entry box that contains the at least one search character entered. | 6. The computer readable storage medium of claim 1 , wherein the subset of the ordered words are configured to be displayed in the client application in a list proximate to a text entry box that contains the at least one search character entered. 7. The computer readable storage medium of claim 6 , wherein the list is displayed in response to entry of a first search character in the text entry box. | 0.5 |
9,892,151 | 15 | 18 | 15. A computing system including a processor and memory configured to perform operations comprising: generating metadata associated with data stored in a database to retrieve the data without searching all of the database; storing the generated metadata in a data structure in memory; inspecting the generated metadata for updates; updating the data stored in the database based upon, at least in part, the updates of the generated metadata; receiving a query for the data stored in the database; executing the query using the generated metadata to generate a metadata result set, wherein the generated metadata result set includes metadata specifying a path to the data in the database, and wherein generating the metadata result set includes combining a plurality of indexes in response to the query, wherein combining the plurality of indexes includes combining the plurality of indexes using one or more bitwise operations on the plurality of indexes; generating a result set using the plurality of indexes of the generated metadata result set including retrieving the data in the database from one or more devices using the metadata result set; and transmitting the result set to a requesting client, wherein the result set includes at least one of a link to the data stored in the database and a copy of the data stored in the database. | 15. A computing system including a processor and memory configured to perform operations comprising: generating metadata associated with data stored in a database to retrieve the data without searching all of the database; storing the generated metadata in a data structure in memory; inspecting the generated metadata for updates; updating the data stored in the database based upon, at least in part, the updates of the generated metadata; receiving a query for the data stored in the database; executing the query using the generated metadata to generate a metadata result set, wherein the generated metadata result set includes metadata specifying a path to the data in the database, and wherein generating the metadata result set includes combining a plurality of indexes in response to the query, wherein combining the plurality of indexes includes combining the plurality of indexes using one or more bitwise operations on the plurality of indexes; generating a result set using the plurality of indexes of the generated metadata result set including retrieving the data in the database from one or more devices using the metadata result set; and transmitting the result set to a requesting client, wherein the result set includes at least one of a link to the data stored in the database and a copy of the data stored in the database. 18. The computing system of claim 15 , wherein the generated metadata includes one or more full text indexes of the data stored in the database. | 0.68 |
6,088,708 | 12 | 13 | 12. The method of claim 3, wherein the populated new cell contains a nested table comprising a plurality of nested cells, only one of the nested cells populated with unrotated text and at least one of the remaining nested cells populated with an adornment feature associated with the unrotated text. | 12. The method of claim 3, wherein the populated new cell contains a nested table comprising a plurality of nested cells, only one of the nested cells populated with unrotated text and at least one of the remaining nested cells populated with an adornment feature associated with the unrotated text. 13. The method of claim 12, wherein the adornment feature is a margin associated with the unrotated text. | 0.504717 |
9,959,268 | 1 | 20 | 1. A method executed on a processor comprising: retrieving from a memory and presenting on a display, using the processor, a template identifying a plurality of style options for graphic representation of a selected type of business information; receiving, using the processor, configuration user input selecting one of the plurality of style types to provide a selected style type; storing, using the processor, the selected style type in memory associated with a configuration user organization and the selected type of business information; retrieving from a memory and presenting on a display, using the processor, a template identifying a plurality of location types used in a mapping program; receiving, using the processor, configuration user input identifying a business data field and a corresponding geographic information identifier from a business information program; in response to a configuration user selection, associating, using the processor, the geographic information identifier with a selected one of the location types used in the mapping program; storing in memory, using the processor, an association of the business data field with a selected one of the location types used in the mapping program; receiving, using the processor, at run-time of the mapping program, a business user input identifying the business data field and the type of business information; and retrieving from memory, using the processor, both the selected style type associated with the type of business information and the location definition associated with the business data field; rendering on a business user display, using the processor, the type of business information using the selected style type on the corresponding location identified by the location type. | 1. A method executed on a processor comprising: retrieving from a memory and presenting on a display, using the processor, a template identifying a plurality of style options for graphic representation of a selected type of business information; receiving, using the processor, configuration user input selecting one of the plurality of style types to provide a selected style type; storing, using the processor, the selected style type in memory associated with a configuration user organization and the selected type of business information; retrieving from a memory and presenting on a display, using the processor, a template identifying a plurality of location types used in a mapping program; receiving, using the processor, configuration user input identifying a business data field and a corresponding geographic information identifier from a business information program; in response to a configuration user selection, associating, using the processor, the geographic information identifier with a selected one of the location types used in the mapping program; storing in memory, using the processor, an association of the business data field with a selected one of the location types used in the mapping program; receiving, using the processor, at run-time of the mapping program, a business user input identifying the business data field and the type of business information; and retrieving from memory, using the processor, both the selected style type associated with the type of business information and the location definition associated with the business data field; rendering on a business user display, using the processor, the type of business information using the selected style type on the corresponding location identified by the location type. 20. The computer program product of claim 1 , further comprising instructions configured to cause a data processing system to provide a selected style type that is one of a color, point, line, area, polygon, bubble, graph, symbol and size. | 0.580702 |
9,881,330 | 15 | 16 | 15. The method of claim 1 , further comprising: receiving a user selection of one of the reminder entries by the computer server; and automatically populating the recommendation region with one or more recommended stationery/card designs based on an upcoming event and an identity of the contact associated with the one of the reminder entries selected by the user. | 15. The method of claim 1 , further comprising: receiving a user selection of one of the reminder entries by the computer server; and automatically populating the recommendation region with one or more recommended stationery/card designs based on an upcoming event and an identity of the contact associated with the one of the reminder entries selected by the user. 16. The method of claim 15 , wherein one or more recommended stationery/card designs are based on with a preference, interest, and taste of the contact and the upcoming event associated with the one of the reminder entries selected by the user. | 0.5 |
8,890,806 | 13 | 14 | 13. The handheld electronic device of claim 10 , wherein the at least one processor is further configured to detect as the ambiguous input a misspelled input, and wherein the plurality of prefix objects includes an object being a proposed spelling correction. | 13. The handheld electronic device of claim 10 , wherein the at least one processor is further configured to detect as the ambiguous input a misspelled input, and wherein the plurality of prefix objects includes an object being a proposed spelling correction. 14. The handheld electronic device of claim 13 , wherein the at least one processor is further configured to cause outputting an indication that the object is a proposed spelling correction. | 0.5 |
10,090,002 | 7 | 8 | 7. The method of claim 2 , wherein generating the aggregate user model comprises: correlating personality trait values, for each personality trait specified in the user models of the set of users, to identify correlated personality trait values from among the user models; eliminating non-correlating personality trait values that are more than one standard deviation away from other similar personality trait values; and summing, for each personality trait specified in the user models, the correlated personality trait values to generate an aggregate score for each personality trait. | 7. The method of claim 2 , wherein generating the aggregate user model comprises: correlating personality trait values, for each personality trait specified in the user models of the set of users, to identify correlated personality trait values from among the user models; eliminating non-correlating personality trait values that are more than one standard deviation away from other similar personality trait values; and summing, for each personality trait specified in the user models, the correlated personality trait values to generate an aggregate score for each personality trait. 8. The method of claim 7 , wherein correlating personality trait values comprises: calculating a standard deviation for all personality trait values specified in the user models for a selected personality trait; generating a plurality of brackets of personality trait values for the personality trait, wherein each bracket in the plurality of brackets represents a separate and distinct range of personality trait values from the other brackets in the plurality of brackets; and associating each personality trait value in the personality trait values specified in the user models with one of the brackets in the plurality of brackets. | 0.5 |
8,103,669 | 2 | 3 | 2. The system of claim 1 , wherein the candidate detection module automatically generates a synonymy pair comprising a first term and a second term, the first term being present in the first query input by the user and absent from the reformulated query input by the user and the second term being present in the reformulated query and absent from the first query. | 2. The system of claim 1 , wherein the candidate detection module automatically generates a synonymy pair comprising a first term and a second term, the first term being present in the first query input by the user and absent from the reformulated query input by the user and the second term being present in the reformulated query and absent from the first query. 3. The system of claim 2 , wherein the interactive definition module is configured for filtering out synonymy pairs generated automatically by the candidate detection module where the second term is absent from the knowledge base. | 0.5 |
9,398,032 | 8 | 11 | 8. A computer apparatus comprising: computer-readable code configured as a local engine at a client computer; computer-readable code configured as an application at the client computer; computer-readable code of the local engine configured to intercept an access by the application to a web page at a universal resource locator (URL) under a domain; computer-readable code of the local engine configured to determine scripts at the URL; computer-readable code of the local engine configured to determine scripts at other URLs under the domain; computer-readable code of the local engine configured to determine whether the scripts at the URL include a unique script which is at the URL but not at the other URLs under the domain; and computer-readable code of the local engine configured to send the unique script via a network to a script analyzer; data storage and memory configured to store said computer-readable codes and other computer-readable data; and a processor configured to execute said stored computer-readable codes. | 8. A computer apparatus comprising: computer-readable code configured as a local engine at a client computer; computer-readable code configured as an application at the client computer; computer-readable code of the local engine configured to intercept an access by the application to a web page at a universal resource locator (URL) under a domain; computer-readable code of the local engine configured to determine scripts at the URL; computer-readable code of the local engine configured to determine scripts at other URLs under the domain; computer-readable code of the local engine configured to determine whether the scripts at the URL include a unique script which is at the URL but not at the other URLs under the domain; and computer-readable code of the local engine configured to send the unique script via a network to a script analyzer; data storage and memory configured to store said computer-readable codes and other computer-readable data; and a processor configured to execute said stored computer-readable codes. 11. The apparatus of claim 8 , wherein sending the unique script via the network to the script analyzer comprises sending a location of the unique script and not sending the unique script itself. | 0.732877 |
9,046,983 | 1 | 11 | 1. A method for receiving input from a graphical user interface, the method comprising: displaying, by a computing device, a graphical user interface on a display device, the graphical user interface comprising a document area and a control ribbon, the document area containing at least a portion of a document that a user is currently editing, the control ribbon containing a first horizontal control gallery, the first horizontal control gallery containing a plurality of class controls, each class control in the plurality of class controls associated with a different class in a plurality of classes, each class control in the plurality of class controls containing a class icon graphically describing the class associated with the class control, each class in the plurality of classes being a subset of commands in an overall set of commands; selecting one of the plurality of class controls displayed in the first horizontal control gallery; in response to selecting one of the plurality of class controls in the first horizontal control gallery, displaying a preview of a default slide transition effect (STE) associated with the one of the plurality of class controls; while the first horizontal control gallery is displayed, receiving, at the computing device, a class selection input from the user, the class selection input indicating a selected class control in the plurality of class controls, the selected class control associated with a selected class in the plurality of classes; after receiving the class selection input, displaying, by the computing device, a second vertical control gallery in the graphical user interface, the second vertical control gallery being separate from and not graphically connected to the first horizontal control gallery, the second vertical control gallery containing a plurality of variation controls, each variation control in the plurality of variation controls associated with a different command in the selected class, each variation control in the plurality of variation controls containing a variation icon graphically describing the command associated with the variation control; selecting one of the plurality of variation controls displayed in the second vertical control gallery; in response to selecting one of the plurality of variation controls in the second vertical control gallery, displaying a preview of a default slide transition effect (STE) associated with the one of the plurality of variation controls; while the second vertical control gallery is displayed, receiving, at the computing device, a variation selection input from the user, the variation selection input indicating a selected variation control in the plurality of variation controls; and in response to receiving the variation selection input, modifying, by the computing device, the document by executing the command associated with the selected variation control. | 1. A method for receiving input from a graphical user interface, the method comprising: displaying, by a computing device, a graphical user interface on a display device, the graphical user interface comprising a document area and a control ribbon, the document area containing at least a portion of a document that a user is currently editing, the control ribbon containing a first horizontal control gallery, the first horizontal control gallery containing a plurality of class controls, each class control in the plurality of class controls associated with a different class in a plurality of classes, each class control in the plurality of class controls containing a class icon graphically describing the class associated with the class control, each class in the plurality of classes being a subset of commands in an overall set of commands; selecting one of the plurality of class controls displayed in the first horizontal control gallery; in response to selecting one of the plurality of class controls in the first horizontal control gallery, displaying a preview of a default slide transition effect (STE) associated with the one of the plurality of class controls; while the first horizontal control gallery is displayed, receiving, at the computing device, a class selection input from the user, the class selection input indicating a selected class control in the plurality of class controls, the selected class control associated with a selected class in the plurality of classes; after receiving the class selection input, displaying, by the computing device, a second vertical control gallery in the graphical user interface, the second vertical control gallery being separate from and not graphically connected to the first horizontal control gallery, the second vertical control gallery containing a plurality of variation controls, each variation control in the plurality of variation controls associated with a different command in the selected class, each variation control in the plurality of variation controls containing a variation icon graphically describing the command associated with the variation control; selecting one of the plurality of variation controls displayed in the second vertical control gallery; in response to selecting one of the plurality of variation controls in the second vertical control gallery, displaying a preview of a default slide transition effect (STE) associated with the one of the plurality of variation controls; while the second vertical control gallery is displayed, receiving, at the computing device, a variation selection input from the user, the variation selection input indicating a selected variation control in the plurality of variation controls; and in response to receiving the variation selection input, modifying, by the computing device, the document by executing the command associated with the selected variation control. 11. The method of claim 1 further comprising: in response to receiving the class selection input, modifying, by the computing device, the document by executing a default command in the selected class. | 0.889135 |
9,582,571 | 10 | 12 | 10. A computer program product embodied on a computer-readable storage device for targeting a message response, the computer program product comprising: one or more computer-readable storage devices and program instructions stored on the one or more computer-readable storage devices, the program instructions comprising: program instructions to monitor recipient activity related to one or more electronic messages received by a recipient; program instructions to gather recipient interest data, wherein gathering includes collecting one or more keywords that interest the recipient as evidenced by one or more positive indicators of interest associated with the one or more keywords; program instructions to store the one or more keywords within a database associated with the recipient; program instructions to calculate a recipient interest rating for each of the one or more keywords, wherein the recipient interest rating is based, at least in part, on the recipient activity and an established recipient interest baseline; in response to a sender drafting a subsequent electronic message addressed to the recipient, program instructions to compare the one or more keywords within a database associated with the recipient to a subject line and message content of the subsequent electronic message; and program instructions to suggest one or more alternative subject lines incorporating at least one of the one or more keywords stored within the database associated with the recipient, wherein suggesting the one or more alternative subject lines includes utilizing a predictive analytics system to determine a relative percentage increase in likelihood that the recipient will respond based on the one or more alternative subject lines. | 10. A computer program product embodied on a computer-readable storage device for targeting a message response, the computer program product comprising: one or more computer-readable storage devices and program instructions stored on the one or more computer-readable storage devices, the program instructions comprising: program instructions to monitor recipient activity related to one or more electronic messages received by a recipient; program instructions to gather recipient interest data, wherein gathering includes collecting one or more keywords that interest the recipient as evidenced by one or more positive indicators of interest associated with the one or more keywords; program instructions to store the one or more keywords within a database associated with the recipient; program instructions to calculate a recipient interest rating for each of the one or more keywords, wherein the recipient interest rating is based, at least in part, on the recipient activity and an established recipient interest baseline; in response to a sender drafting a subsequent electronic message addressed to the recipient, program instructions to compare the one or more keywords within a database associated with the recipient to a subject line and message content of the subsequent electronic message; and program instructions to suggest one or more alternative subject lines incorporating at least one of the one or more keywords stored within the database associated with the recipient, wherein suggesting the one or more alternative subject lines includes utilizing a predictive analytics system to determine a relative percentage increase in likelihood that the recipient will respond based on the one or more alternative subject lines. 12. The computer program product of claim 10 , wherein program instructions to gather recipient interest data, further comprise: program instructions to extract recipient interest data from one or more social networks. | 0.878076 |
8,548,818 | 2 | 4 | 2. The method of claim 1 , further comprising: presenting, by the computer system, the customer with a second plurality of open- ended questions based on the first authentication scores being less than the threshold value; designating, by the computer system, a second plurality of correct answers based on the customer profile information which correspond to the second plurality of open-ended questions; receiving, by the computer system, a second plurality of answers to the second plurality of open-ended questions from the customer; analyzing, by the computer system, the second plurality of questions by comparing the second plurality of answers with the second plurality of correct answers by parsing each of the second plurality of answers and performing a character-by-character accuracy analysis of the second plurality of answers in comparison to a character-by-character analysis of the second plurality of correct answers; calculating, by the computer system, authentication scores for each of the plurality of second answers, wherein each authentication score represents a correctness of each of the plurality of answers relative to the corresponding correct answer; and authenticating, by the computer system, the customer based on the authentication scores from the first and second pluralities of answers being cumulatively greater than the threshold value. | 2. The method of claim 1 , further comprising: presenting, by the computer system, the customer with a second plurality of open- ended questions based on the first authentication scores being less than the threshold value; designating, by the computer system, a second plurality of correct answers based on the customer profile information which correspond to the second plurality of open-ended questions; receiving, by the computer system, a second plurality of answers to the second plurality of open-ended questions from the customer; analyzing, by the computer system, the second plurality of questions by comparing the second plurality of answers with the second plurality of correct answers by parsing each of the second plurality of answers and performing a character-by-character accuracy analysis of the second plurality of answers in comparison to a character-by-character analysis of the second plurality of correct answers; calculating, by the computer system, authentication scores for each of the plurality of second answers, wherein each authentication score represents a correctness of each of the plurality of answers relative to the corresponding correct answer; and authenticating, by the computer system, the customer based on the authentication scores from the first and second pluralities of answers being cumulatively greater than the threshold value. 4. The method of claim 2 , further comprising: processing, by the computer system, the customer profile information to demographically categorize the customer; and customizing, by the computer system, the first and second plurality of questions based on the demographic categorization of the customer. | 0.5 |
8,244,720 | 21 | 23 | 21. A method performed by one or more server devices, the method comprising: identifying, by at least one of the one or more server devices, a blog document that is responsive to a search query; generating, by at least one of the one or more server devices, a first score for the blog document based on a relevance of the blog document to the search query; generating, by at least one of the one or more server devices, a second score for the blog document based on a quality of the blog document independent of the search query, where the second score is based on: a first indication of whether ads appear in a blogroll associated with the blog document or blog metadata associated with the blog document, and a second indication of whether ads appear in blog posts in the blog document; generating, by at least one of the one or more server devices, a third score based on the first and second scores; and providing, by at least one of the one or more server devices, information relating to the blog document based on the third score. | 21. A method performed by one or more server devices, the method comprising: identifying, by at least one of the one or more server devices, a blog document that is responsive to a search query; generating, by at least one of the one or more server devices, a first score for the blog document based on a relevance of the blog document to the search query; generating, by at least one of the one or more server devices, a second score for the blog document based on a quality of the blog document independent of the search query, where the second score is based on: a first indication of whether ads appear in a blogroll associated with the blog document or blog metadata associated with the blog document, and a second indication of whether ads appear in blog posts in the blog document; generating, by at least one of the one or more server devices, a third score based on the first and second scores; and providing, by at least one of the one or more server devices, information relating to the blog document based on the third score. 23. The method of claim 21 , where providing the information relating to the blog document includes: presenting information regarding the blog document and at least one other document in a first order that is based on the third score, where the first order is different from a second order that is solely based on the first score. | 0.5 |
7,970,601 | 1 | 8 | 1. A method of creating a requirement description for testing an embedded system, comprising: storing a vocabulary of natural-language, selectable text segments in a data processing system, each of said text segments being combinable only with a deterministically selected subset of said text segments to form at least one natural-language sentence including a condition and a response to a condition, and storing a requirements metamodel in the data processing system, each text segment being linked to an instance in the requirements metamodel such that when a text segment is selected a machine readable description of the text segment is created and such that said condition is assigned a value placeable at an input of the embedded system and the response to the condition is assigned a value placeable at an output of the embedded system. | 1. A method of creating a requirement description for testing an embedded system, comprising: storing a vocabulary of natural-language, selectable text segments in a data processing system, each of said text segments being combinable only with a deterministically selected subset of said text segments to form at least one natural-language sentence including a condition and a response to a condition, and storing a requirements metamodel in the data processing system, each text segment being linked to an instance in the requirements metamodel such that when a text segment is selected a machine readable description of the text segment is created and such that said condition is assigned a value placeable at an input of the embedded system and the response to the condition is assigned a value placeable at an output of the embedded system. 8. The method according to claim 1 wherein after creation of a natural-language requirement description, the data processing system performs a transformation by which the requirement description is converted into a platform-independent, natural-language test specification. | 0.799559 |
6,092,039 | 1 | 3 | 1. A method for automatic speech recognition (ASR) and vocoding (VC), comprising the steps of: converting a first signal representing speech to a second signal having raw mel capstrum vector (MCV) and a third signal having raw pitch; subtracting a calibration vector from said MCV to form a difference vector; multiplying a calibration matrix with said difference vector to produce a recalibrated MCV; recalibrating said raw pitch with a logarithmic function; concatenating said recalibrated MCV with said recalibrated pitch to form a recalibrated vector; compressing and quantizing said recalibrated vector to form a vector quantized signal; and forwarding said vector quantized signal to a remote receiver for decoding said vector quantized signal received by the remote receiver to recover said speech. | 1. A method for automatic speech recognition (ASR) and vocoding (VC), comprising the steps of: converting a first signal representing speech to a second signal having raw mel capstrum vector (MCV) and a third signal having raw pitch; subtracting a calibration vector from said MCV to form a difference vector; multiplying a calibration matrix with said difference vector to produce a recalibrated MCV; recalibrating said raw pitch with a logarithmic function; concatenating said recalibrated MCV with said recalibrated pitch to form a recalibrated vector; compressing and quantizing said recalibrated vector to form a vector quantized signal; and forwarding said vector quantized signal to a remote receiver for decoding said vector quantized signal received by the remote receiver to recover said speech. 3. The method according to claim 1, wherein said compressing and quantifying step includes silence compression. | 0.576336 |
7,860,717 | 5 | 7 | 5. The method according to claim 1 , wherein providing the GUI comprises displaying words and/or phrases for possible selection by the user via the GUI. | 5. The method according to claim 1 , wherein providing the GUI comprises displaying words and/or phrases for possible selection by the user via the GUI. 7. The method according to claim 5 , wherein the displaying the words and/or phrases comprises filtering the words and/or phrases for display to the user. | 0.50641 |
9,819,858 | 9 | 16 | 9. An apparatus for capturing videos, comprising a processor and a memory, the memory storing instructions for a framework layer of a first programming language, instructions for an application layer of a second programming language other than the first programming language, instructions for an application in the application layer, and instructions for a setting module: the instructions for the setting module are executable by the processor to set a video capture class in the framework layer, the video capture class inherits a class in a video capture bottom layer library and registers a callback function for the video capture bottom layer library; the video capture class is configured to receive a video capture command sent by the application in the application layer, send the video capture command to the video capture bottom layer library which starts to capture video data according to the video capture command, obtain the video data from the video capture bottom layer library by using the callback function, send the video data to an encoder which is pre-set in the framework layer of the first programming language and instruct the encoder to encode the video data, and provide video data codes obtained by the encoder to the application in the application layer. | 9. An apparatus for capturing videos, comprising a processor and a memory, the memory storing instructions for a framework layer of a first programming language, instructions for an application layer of a second programming language other than the first programming language, instructions for an application in the application layer, and instructions for a setting module: the instructions for the setting module are executable by the processor to set a video capture class in the framework layer, the video capture class inherits a class in a video capture bottom layer library and registers a callback function for the video capture bottom layer library; the video capture class is configured to receive a video capture command sent by the application in the application layer, send the video capture command to the video capture bottom layer library which starts to capture video data according to the video capture command, obtain the video data from the video capture bottom layer library by using the callback function, send the video data to an encoder which is pre-set in the framework layer of the first programming language and instruct the encoder to encode the video data, and provide video data codes obtained by the encoder to the application in the application layer. 16. The apparatus of claim 9 , wherein the instructions for the application are executable by the processor to send the video capture command to a camera API layer which sends the video capture command to the video capture class in the framework layer of the programming language. | 0.648241 |
8,091,020 | 14 | 21 | 14. A computer readable medium having computer executable instructions for creating a hyperlinked table-of-contents in a frameset, comprising: creating a first frame and a second frame within the frameset, the first frame comprising a TOC document that is created in response to section headings of a target document and the second frame comprising the target document, wherein the TOC document and the target document are different documents; the target document being directly editable and having a first selected heading identifying a first section in the target document and a second selected heading identifying a second section in the target document; wherein the first section and the second section in the target document are non-contiguous sections of the same document; wherein the frameset is self-updating such that changes to the target document are automatically reflected within the TOC document; scanning the target document to locate the first and second selected headings; creating a first hyperlink entry in the TOC document that includes a first link that is associated with a first anchor in the target document, wherein the first anchor is positioned proximate to the first selected heading, and wherein triggering the first link causes the target document to reveal at least a portion of the first selected heading in the second frame; creating a second hyperlink entry in the TOC document that includes a second link that is associated with a second anchor in the target document, wherein the second anchor is positioned proximate to the second selected heading, and wherein triggering the second link causes the target document to reveal at least a portion of the second selected heading in the second frame; and automatically updating the first hyperlink entry in the TOC document in response to an update event without direct manual intervention; wherein the update event comprises printing the TOC document. | 14. A computer readable medium having computer executable instructions for creating a hyperlinked table-of-contents in a frameset, comprising: creating a first frame and a second frame within the frameset, the first frame comprising a TOC document that is created in response to section headings of a target document and the second frame comprising the target document, wherein the TOC document and the target document are different documents; the target document being directly editable and having a first selected heading identifying a first section in the target document and a second selected heading identifying a second section in the target document; wherein the first section and the second section in the target document are non-contiguous sections of the same document; wherein the frameset is self-updating such that changes to the target document are automatically reflected within the TOC document; scanning the target document to locate the first and second selected headings; creating a first hyperlink entry in the TOC document that includes a first link that is associated with a first anchor in the target document, wherein the first anchor is positioned proximate to the first selected heading, and wherein triggering the first link causes the target document to reveal at least a portion of the first selected heading in the second frame; creating a second hyperlink entry in the TOC document that includes a second link that is associated with a second anchor in the target document, wherein the second anchor is positioned proximate to the second selected heading, and wherein triggering the second link causes the target document to reveal at least a portion of the second selected heading in the second frame; and automatically updating the first hyperlink entry in the TOC document in response to an update event without direct manual intervention; wherein the update event comprises printing the TOC document. 21. The computer readable medium of claim 14 , wherein updating the first hyperlink entry in the TOC document in response to the update event comprises: scanning the target document; creating an updated hyperlink entry in the TOC document that includes the change to the first selected heading; and inserting an anchor for the updated hyperlink entry into the target document. | 0.5 |
7,764,701 | 4 | 6 | 4. A system comprising: a classification application stored in memory; and a processor communicating with the memory, the processor adapted to: providing an ontology that represents a hierarchical organization of a plurality of nodes, wherein each node of the plurality of nodes corresponds to one class of a plurality of classes; associate each peer system of a plurality of peer systems with at least one of the plurality of nodes in the ontology based on information maintained on each peer system and a class of the plurality of classes to which the information corresponds; receive a request including a select class of the plurality of classes from a first peer system of the plurality of peer systems; identify a select node of the plurality of nodes based on the select class; identify at least one peer system of the plurality of peer systems that is associated with the select node; and send to the first peer system identification information identifying the at least one peer system and identifying a date and a time of when the at least one peer system was associated with the ontology. | 4. A system comprising: a classification application stored in memory; and a processor communicating with the memory, the processor adapted to: providing an ontology that represents a hierarchical organization of a plurality of nodes, wherein each node of the plurality of nodes corresponds to one class of a plurality of classes; associate each peer system of a plurality of peer systems with at least one of the plurality of nodes in the ontology based on information maintained on each peer system and a class of the plurality of classes to which the information corresponds; receive a request including a select class of the plurality of classes from a first peer system of the plurality of peer systems; identify a select node of the plurality of nodes based on the select class; identify at least one peer system of the plurality of peer systems that is associated with the select node; and send to the first peer system identification information identifying the at least one peer system and identifying a date and a time of when the at least one peer system was associated with the ontology. 6. A system according to claim 4 , wherein the processor is further adapted to rank each peer system associated with each node in the ontology. | 0.544586 |
10,020,009 | 8 | 12 | 8. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, by a given mobile device, audio data corresponding to a user utterance; while receiving the audio data corresponding to the user utterance, determining, by the given mobile device, that the given mobile device has changed position from a first pose to a second pose; in response to determining that the given mobile device has changed position from the first pose to the second pose, determining endpointing parameters for endpointing audio data received by a mobile device changing from the first pose to the second pose; using the endpointing parameters for endpointing audio data received by a mobile device changing from the first pose to the second pose, endpointing the received audio; generating, by an automated speech recognizer, a transcription of the endpointed audio data; and providing, for output by the given mobile device, the transcription. | 8. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving, by a given mobile device, audio data corresponding to a user utterance; while receiving the audio data corresponding to the user utterance, determining, by the given mobile device, that the given mobile device has changed position from a first pose to a second pose; in response to determining that the given mobile device has changed position from the first pose to the second pose, determining endpointing parameters for endpointing audio data received by a mobile device changing from the first pose to the second pose; using the endpointing parameters for endpointing audio data received by a mobile device changing from the first pose to the second pose, endpointing the received audio; generating, by an automated speech recognizer, a transcription of the endpointed audio data; and providing, for output by the given mobile device, the transcription. 12. The system of claim 8 , wherein the operations further comprise: the second pose is a walkie-talkie pose in which the mobile device operates in half-duplex, and determining the endpointing parameters comprises detecting the selection of a talk button on the mobile device. | 0.580547 |
8,838,454 | 14 | 19 | 14. The improvement of claim 12 , wherein the grammar information comprises at least one of a system-level grammar and an application-level grammar. | 14. The improvement of claim 12 , wherein the grammar information comprises at least one of a system-level grammar and an application-level grammar. 19. The improvement of claim 14 , wherein the grammar information comprises application-level grammar defined for an application executing on the voice command platform. | 0.5 |
9,589,056 | 7 | 11 | 7. A method performed by one or more processors configured with computer-executable instructions, the method comprising: determining a prediction of-user information needs that predict topics of interests at least partly according to information from search log data, the search log data includes information of users, queries submitted by the users, uniform resource locators (“URLs”) associated with the queries, and a correlation between the users, queries, and the URLs, the determining including grouping similar queries submitted by the users into a topic; calculating a diversity degree of a respective user information need of the user information needs based on a number of unique URLs that are related to the respective user information need and clicked in the search log data; generating a budget for the respective user information need at least partly based on a degree of user interest and a diversity degree of the respective user information need; selecting data at least partly based on the user information needs, the selecting including: smoothing a data budget distribution among the user information needs to generate a smoothed budget distribution, the smoothing including allocating a portion of a quota of data from a first topic-based representation representing a first user information need to a second topic-based representation representing a second user information need, the first topic-based representation having a higher ranking than the second topic-based representation; computing a relevancy between the first user information need in the user information needs and data represented by the URLs; and selecting one or more URLs from the URLs to match the first user information need based on the smoothed data budget distribution; and storing the data represented by the one or more URLs at one or more data storage devices. | 7. A method performed by one or more processors configured with computer-executable instructions, the method comprising: determining a prediction of-user information needs that predict topics of interests at least partly according to information from search log data, the search log data includes information of users, queries submitted by the users, uniform resource locators (“URLs”) associated with the queries, and a correlation between the users, queries, and the URLs, the determining including grouping similar queries submitted by the users into a topic; calculating a diversity degree of a respective user information need of the user information needs based on a number of unique URLs that are related to the respective user information need and clicked in the search log data; generating a budget for the respective user information need at least partly based on a degree of user interest and a diversity degree of the respective user information need; selecting data at least partly based on the user information needs, the selecting including: smoothing a data budget distribution among the user information needs to generate a smoothed budget distribution, the smoothing including allocating a portion of a quota of data from a first topic-based representation representing a first user information need to a second topic-based representation representing a second user information need, the first topic-based representation having a higher ranking than the second topic-based representation; computing a relevancy between the first user information need in the user information needs and data represented by the URLs; and selecting one or more URLs from the URLs to match the first user information need based on the smoothed data budget distribution; and storing the data represented by the one or more URLs at one or more data storage devices. 11. The method as recited in claim 7 , further comprising: calculating the degree of user interest of the respective user information need by calculating a number of queries related to the respective user information need that are submitted by the users. | 0.655827 |
8,560,449 | 1 | 13 | 1. A method of modifying a set of rules of a payment transaction system, the method comprising: in response to a transaction initiated with a payment card of a user, electronically receiving from a point of sale terminal a transaction request or an authorization request associated with the transaction; responsive to the transaction request or authorization request, electronically transmitting to a first electronic device associated with the user a request for input from the user; using a second computing device associated with an entity different from the user, receiving the input from the user, wherein the second computing device is programmed to apply a set of rules associated with the payment card of the user; applying the set of rules to the transaction request or authorization request; responsive to the received input from the user, automatically modifying, using the second computing device, the set of rules based on the received input from the user for application of the modified set of rules to a future transaction, a future transaction request, or a future authorization request associated with the user; applying the modified set of rules to the future transaction, the future transaction request or the future authorization request associated with the user; and modifying one or more rules from the set of rules based on additional input provided by the user prior to the transaction. | 1. A method of modifying a set of rules of a payment transaction system, the method comprising: in response to a transaction initiated with a payment card of a user, electronically receiving from a point of sale terminal a transaction request or an authorization request associated with the transaction; responsive to the transaction request or authorization request, electronically transmitting to a first electronic device associated with the user a request for input from the user; using a second computing device associated with an entity different from the user, receiving the input from the user, wherein the second computing device is programmed to apply a set of rules associated with the payment card of the user; applying the set of rules to the transaction request or authorization request; responsive to the received input from the user, automatically modifying, using the second computing device, the set of rules based on the received input from the user for application of the modified set of rules to a future transaction, a future transaction request, or a future authorization request associated with the user; applying the modified set of rules to the future transaction, the future transaction request or the future authorization request associated with the user; and modifying one or more rules from the set of rules based on additional input provided by the user prior to the transaction. 13. The method of claim 1 , wherein said electronically transmitting a request for input from the user includes transmitting the request to a third party designated by the user instead of the user, the third party being an agent of the user or a non-financial entity authorized by the user to hold authority over the account of the user. | 0.55305 |
8,140,968 | 6 | 7 | 6. The recording medium according to claim 4 , wherein when a print setting represented by the printer icon to which the document icon is correlate is determined as being suitable for printing of the document file, a printer icon which represents a more limiting print setting is newly displayed. | 6. The recording medium according to claim 4 , wherein when a print setting represented by the printer icon to which the document icon is correlate is determined as being suitable for printing of the document file, a printer icon which represents a more limiting print setting is newly displayed. 7. The recording medium according to claim 6 , wherein a printer icon positioned at a lower hierarchical level is displayed based on a hierarchical structure of the associated printer or print setting associated with the printer. | 0.5 |
9,111,375 | 9 | 16 | 9. An automated method disposed to provide learning about a three-dimensional (3D) scene using a set of two-dimensional (2D) images, the method comprising: labeling each image from among the set of 2D images with scene information regarding the 3D scene, the scene information being associated with the labeled image; selecting a set of learning modifiers based at least partly on the labeling of at least two images; and updating a set of weights based at least partly on the set of learning modifiers. | 9. An automated method disposed to provide learning about a three-dimensional (3D) scene using a set of two-dimensional (2D) images, the method comprising: labeling each image from among the set of 2D images with scene information regarding the 3D scene, the scene information being associated with the labeled image; selecting a set of learning modifiers based at least partly on the labeling of at least two images; and updating a set of weights based at least partly on the set of learning modifiers. 16. The automated method of claim 9 , wherein each image in the set of 2D images is associated with the 3D scene. | 0.646875 |
7,944,593 | 1 | 2 | 1. A method operable on a data processing system including a print server and a presentation device for color conversion on the presentation device, the method comprising: receiving, by the print server, a presentation datastream including presentation data and a first descriptor value identifying an input color space of the presentation data; processing, by operation of the print server, the presentation datastream to identify the first descriptor value; identifying, by operation of the print server, a second descriptor value for an output color space of the presentation device; identifying, by operation of the print server, a link color conversion Color Management Resource (CMR) using the first descriptor value from the presentation datastream and the second descriptor value, wherein the link color conversion CMR includes the first descriptor value, the second descriptor value, and a rule for converting the input color space to the output color space; and transmitting, from the print server to the presentation device, the link color conversion CMR and the presentation datastream for use by the presentation device to convert the presentation data for output at the presentation device. | 1. A method operable on a data processing system including a print server and a presentation device for color conversion on the presentation device, the method comprising: receiving, by the print server, a presentation datastream including presentation data and a first descriptor value identifying an input color space of the presentation data; processing, by operation of the print server, the presentation datastream to identify the first descriptor value; identifying, by operation of the print server, a second descriptor value for an output color space of the presentation device; identifying, by operation of the print server, a link color conversion Color Management Resource (CMR) using the first descriptor value from the presentation datastream and the second descriptor value, wherein the link color conversion CMR includes the first descriptor value, the second descriptor value, and a rule for converting the input color space to the output color space; and transmitting, from the print server to the presentation device, the link color conversion CMR and the presentation datastream for use by the presentation device to convert the presentation data for output at the presentation device. 2. The method of claim 1 wherein identifying the link color conversion CMR comprises: creating the rule for converting the input color space to the output color space; associating the first descriptor value and the second descriptor value with the rule for converting; and storing the rule for converting and the associated descriptor values in the link color conversion CMR. | 0.5 |
9,858,609 | 1 | 5 | 1. An information processing apparatus comprising: at least one memory operable to store program code; at least one processor operable to read the program code and operate as instructed by the program code, the program code including: object search code that causes the at least one processor to receive a search word through a search condition setting area in a web page from a user and search based on the received search word; category identification code that causes the at least one processor to, when a first search word has been completed and entered by the user and a second search word has not been completed and is being currently inputted by the user, identify, from a plurality of search categories, a child search category based on the first search word and at least two different parent search categories to which the child search category belongs; attribute value acquisition code that causes the at least one processor to, in response to the second search word being currently input by the user, in a state in which the child search category and the at least two different parent search categories have been identified, acquire, from a storage that stores at least one attribute name, indicating a name of an attribute of an item corresponding to each of the plurality of search categories, and stores attribute values, indicating values of the attribute of the item corresponding to each of the plurality of search categories and associated with each of the at least one attribute name, a plurality of attribute values, each corresponding to the child search category that belongs to each of the at least two different parent search categories, based on the second search word that is being currently inputted; and presentation control code that causes the at least one processor to present, at the search condition setting area in the web page, for each of the plurality of attribute values acquired by the attribute value acquisition code, a combination of the child search category, a corresponding parent search category, an acquired attribute value and an attribute name associated with the acquired attribute value, as a candidate for a search condition such that the child search category, the corresponding parent search category, the attribute value, and the attribute name of the combination are concurrently selected upon selection of the combination by the user, wherein a plurality of combinations are respectively presented for the at least two different parent search categories, and attribute values, acquired based on the second search word that is being currently inputted, are associated with different attribute names in the combinations corresponding to different parent search categories, wherein the object search code causes the at least one processor to, when any combination of the combinations presented by the presentation control code is selected by the user, search for at least one search object that is included in the child search category having been identified and the corresponding parent search category and has an attribute indicated by the selected combination. | 1. An information processing apparatus comprising: at least one memory operable to store program code; at least one processor operable to read the program code and operate as instructed by the program code, the program code including: object search code that causes the at least one processor to receive a search word through a search condition setting area in a web page from a user and search based on the received search word; category identification code that causes the at least one processor to, when a first search word has been completed and entered by the user and a second search word has not been completed and is being currently inputted by the user, identify, from a plurality of search categories, a child search category based on the first search word and at least two different parent search categories to which the child search category belongs; attribute value acquisition code that causes the at least one processor to, in response to the second search word being currently input by the user, in a state in which the child search category and the at least two different parent search categories have been identified, acquire, from a storage that stores at least one attribute name, indicating a name of an attribute of an item corresponding to each of the plurality of search categories, and stores attribute values, indicating values of the attribute of the item corresponding to each of the plurality of search categories and associated with each of the at least one attribute name, a plurality of attribute values, each corresponding to the child search category that belongs to each of the at least two different parent search categories, based on the second search word that is being currently inputted; and presentation control code that causes the at least one processor to present, at the search condition setting area in the web page, for each of the plurality of attribute values acquired by the attribute value acquisition code, a combination of the child search category, a corresponding parent search category, an acquired attribute value and an attribute name associated with the acquired attribute value, as a candidate for a search condition such that the child search category, the corresponding parent search category, the attribute value, and the attribute name of the combination are concurrently selected upon selection of the combination by the user, wherein a plurality of combinations are respectively presented for the at least two different parent search categories, and attribute values, acquired based on the second search word that is being currently inputted, are associated with different attribute names in the combinations corresponding to different parent search categories, wherein the object search code causes the at least one processor to, when any combination of the combinations presented by the presentation control code is selected by the user, search for at least one search object that is included in the child search category having been identified and the corresponding parent search category and has an attribute indicated by the selected combination. 5. The information processing apparatus according to claim 1 , wherein the presentation control code causes the at least one processor to determine a priority of presentation of each of the combinations on the basis of a relationship between an attribute indicated by the corresponding combination and the second search word that is being currently inputted. | 0.704132 |
10,002,159 | 1 | 5 | 1. A method for translating user keywords into semantic queries, the method comprising; receiving, by at least one of the one or more computers, keywords; searching, by the at least one of the one or more computers, a conceptual model to identify one or more concepts relevant to the keywords; transforming, by the at least one of the one or more computers, at least a portion of the conceptual model into a connected graph; automatically generating, by the at least one of the one or more computers and without user input, at least one path through the connected graph using at least one path expansion rule, the at least one path connecting the one or more concepts; identifying and ranking, by the at least one of the one or more computers, facets that support incremental user navigation from nodes of convergence in the at least one path, wherein the facets are generated at least in part by indexing a number of distinct values for attributes of the one or more concepts; generating, the by at least one of the one or more computers, at least one structured semantic query from the at least one path with the identified and ranked facets; and executing, by the at least one of the one or more computers, the at least one structured semantic query on a semantic repository. | 1. A method for translating user keywords into semantic queries, the method comprising; receiving, by at least one of the one or more computers, keywords; searching, by the at least one of the one or more computers, a conceptual model to identify one or more concepts relevant to the keywords; transforming, by the at least one of the one or more computers, at least a portion of the conceptual model into a connected graph; automatically generating, by the at least one of the one or more computers and without user input, at least one path through the connected graph using at least one path expansion rule, the at least one path connecting the one or more concepts; identifying and ranking, by the at least one of the one or more computers, facets that support incremental user navigation from nodes of convergence in the at least one path, wherein the facets are generated at least in part by indexing a number of distinct values for attributes of the one or more concepts; generating, the by at least one of the one or more computers, at least one structured semantic query from the at least one path with the identified and ranked facets; and executing, by the at least one of the one or more computers, the at least one structured semantic query on a semantic repository. 5. The method according to claim 1 , wherein the at least one path expansion rule is a self-loop, a path-loop, or a subsumed-loop or requires applying one or more cardinalities to the relations between concepts. | 0.816522 |
9,522,226 | 1 | 13 | 1. An infusion pump assembly comprising: a reservoir assembly configured to contain an infusible fluid; a motor assembly configured to act upon the reservoir assembly and dispense at least a portion of the infusible fluid contained within the reservoir assembly; processing logic configured to control the motor assembly; wherein the processing logic includes: a primary microprocessor configured to execute one or more primary applications written in a first computer language; and a safety microprocessor configured to execute one or more safety applications written in a second computer language that is different than the first computer language; and a computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform the operation of processing a command written in the first computer language received on the primary microprocessor so that the command may be confirmed by the safety microprocessor executing the one or more safety applications written in the second computer language. | 1. An infusion pump assembly comprising: a reservoir assembly configured to contain an infusible fluid; a motor assembly configured to act upon the reservoir assembly and dispense at least a portion of the infusible fluid contained within the reservoir assembly; processing logic configured to control the motor assembly; wherein the processing logic includes: a primary microprocessor configured to execute one or more primary applications written in a first computer language; and a safety microprocessor configured to execute one or more safety applications written in a second computer language that is different than the first computer language; and a computer program product residing on a computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform the operation of processing a command written in the first computer language received on the primary microprocessor so that the command may be confirmed by the safety microprocessor executing the one or more safety applications written in the second computer language. 13. The infusion pump assembly of claim 1 wherein the audio system is configured to provide an escalating alarm sequence in the event of a loss of a beacon signal, wherein the escalating alarm sequence includes at least a low-intensity alarm and a high-intensity alarm. | 0.695701 |
7,548,917 | 1 | 11 | 1. A method of computer implemented sorting of a plurality of documents relevant to one or more of a plurality of specialties, said method being employed to construct or maintain a computer accessible database to be accessed by a plurality of readers or groups of readers, said method comprising the steps of developing a list of said plurality of specialties in a field of interest to said plurality of readers or groups of readers, identifying documents relevant to respective ones of said one or more specialties, wherein said step of identifying is carried out by at least one expert in said one or more specialties, said expert being a person, selecting a limited number of documents for inclusion in said plurality of documents, wherein said step of selecting is carried out by at least one expert in said one or more specialties, said expert being a person, developing a hierarchical master index of subject matter referred to in said plurality of documents, each entry in said hierarchical master index having at least one of an index term and an associated code, wherein said step of developing a hierarchical master index is carried out by at least one expert in said one or more specialties, said expert being a person, assigning a limited number of index terms and associated codes of said hierarchical master index to each document of said plurality of documents, wherein said step of assigning a limited number of index terms and associated codes is carried out by at least one expert in said one or more specialties, said expert being a person, and wherein said step of assigning a limited number of index terms or codes is based on primary relevance of material described as determined by said expert, assigning at least one of said one or more specialties of said list of specialties developed in said developing step to each document of said plurality of documents, wherein said step of assigning at least one of said one or more specialties is carried out separately from said step of assigning a limited number of index terms by at least one expert in said one or more specialties, said expert being a person, assembling, using a computer, a plurality of hierarchical specialty indices of subject matter for respective ones of said plurality of specialties from index terms and associated codes assigned to respective documents in each of said ones of said plurality of specialties, wherein results of said step of assigning a limited number of index terms and results of said step of assigning at least one of said plurality of specialties as applied to respective ones of said documents identified in said step of identifying documents relevant to respective ones of said one or more specialities are merged by said computer, and sorting, using said computer, respective documents of said plurality of documents in accordance with a respective one of said plurality of hierarchical speciality indices for a respective one or more specialties, wherein said method results in construction or maintenance of a database from which documents, limited in number in accordance with said selecting step and relevant to each respective speciality, are retrieved with improved accuracy and reduction of false positives, and wherein the creation of empty folders in said hierarchical speciality indices is prevented. | 1. A method of computer implemented sorting of a plurality of documents relevant to one or more of a plurality of specialties, said method being employed to construct or maintain a computer accessible database to be accessed by a plurality of readers or groups of readers, said method comprising the steps of developing a list of said plurality of specialties in a field of interest to said plurality of readers or groups of readers, identifying documents relevant to respective ones of said one or more specialties, wherein said step of identifying is carried out by at least one expert in said one or more specialties, said expert being a person, selecting a limited number of documents for inclusion in said plurality of documents, wherein said step of selecting is carried out by at least one expert in said one or more specialties, said expert being a person, developing a hierarchical master index of subject matter referred to in said plurality of documents, each entry in said hierarchical master index having at least one of an index term and an associated code, wherein said step of developing a hierarchical master index is carried out by at least one expert in said one or more specialties, said expert being a person, assigning a limited number of index terms and associated codes of said hierarchical master index to each document of said plurality of documents, wherein said step of assigning a limited number of index terms and associated codes is carried out by at least one expert in said one or more specialties, said expert being a person, and wherein said step of assigning a limited number of index terms or codes is based on primary relevance of material described as determined by said expert, assigning at least one of said one or more specialties of said list of specialties developed in said developing step to each document of said plurality of documents, wherein said step of assigning at least one of said one or more specialties is carried out separately from said step of assigning a limited number of index terms by at least one expert in said one or more specialties, said expert being a person, assembling, using a computer, a plurality of hierarchical specialty indices of subject matter for respective ones of said plurality of specialties from index terms and associated codes assigned to respective documents in each of said ones of said plurality of specialties, wherein results of said step of assigning a limited number of index terms and results of said step of assigning at least one of said plurality of specialties as applied to respective ones of said documents identified in said step of identifying documents relevant to respective ones of said one or more specialities are merged by said computer, and sorting, using said computer, respective documents of said plurality of documents in accordance with a respective one of said plurality of hierarchical speciality indices for a respective one or more specialties, wherein said method results in construction or maintenance of a database from which documents, limited in number in accordance with said selecting step and relevant to each respective speciality, are retrieved with improved accuracy and reduction of false positives, and wherein the creation of empty folders in said hierarchical speciality indices is prevented. 11. The method of claim 1 , further comprising the step of identifying sources of said documents, wherein said step of identifying sources of said documents is carried out by an expert in said one or more specialties said expert being a person. | 0.5 |
9,146,966 | 1 | 7 | 1. A computer-implemented method comprising: accessing query log data that identifies, for a search query: a particular query term and one or more other query terms that are included in the search query, search results that were generated using the search query, a ranking of the search results that were generated using the search query, and a particular search result selected by a user from among the search results that were generated using the search query; determining, using the query kg data, that, (i) in text associated with the particular search result selected by the user, the particular query term is separated from all of the one or more other query terms by at least a predetermined minimum number of terms, and (ii) in text associated with a search result that was ranked higher than the particular search result selected by the user, the particular query term is not separated from all of the one or more other query terms by at least the predetermined minimum number of terms; and based on the determination, incrementing a click count for a query term proximity rule corresponding to the particular query term. | 1. A computer-implemented method comprising: accessing query log data that identifies, for a search query: a particular query term and one or more other query terms that are included in the search query, search results that were generated using the search query, a ranking of the search results that were generated using the search query, and a particular search result selected by a user from among the search results that were generated using the search query; determining, using the query kg data, that, (i) in text associated with the particular search result selected by the user, the particular query term is separated from all of the one or more other query terms by at least a predetermined minimum number of terms, and (ii) in text associated with a search result that was ranked higher than the particular search result selected by the user, the particular query term is not separated from all of the one or more other query terms by at least the predetermined minimum number of terms; and based on the determination, incrementing a click count for a query term proximity rule corresponding to the particular query term. 7. The method of claim 1 , wherein the query term proximity rule comprises a query term revision rule for revising search queries by separating the particular query term and the one or more other query terms by a particular number of words. | 0.76699 |
8,185,375 | 1 | 6 | 1. A method comprising: receiving multi-lingual parallel text associating a source language, a target language, and one or more bridge languages; determining a direct alignment between the source language and the target language, wherein the direct alignment represents a word-for-word connection between source language and target language words; determining, using one or more computing devices, a first bridge-based alignment between the source language and the target language using a first bridge language that is distinct from the source language and the target language, wherein the first bridge-based alignment is determined based in part on a first posterior probability matrix for a first alignment from the source language to the first bridge language and a second posterior probability matrix for a second alignment from the first bridge language to the target language; using the direct alignment between the source language and the target language to generate a first candidate translation of an input text in the source language to the target language; using the first bridge-based alignment to generate a second candidate translation of the input text in the source language to the target language; and determining a consensus translation using the candidate translations. | 1. A method comprising: receiving multi-lingual parallel text associating a source language, a target language, and one or more bridge languages; determining a direct alignment between the source language and the target language, wherein the direct alignment represents a word-for-word connection between source language and target language words; determining, using one or more computing devices, a first bridge-based alignment between the source language and the target language using a first bridge language that is distinct from the source language and the target language, wherein the first bridge-based alignment is determined based in part on a first posterior probability matrix for a first alignment from the source language to the first bridge language and a second posterior probability matrix for a second alignment from the first bridge language to the target language; using the direct alignment between the source language and the target language to generate a first candidate translation of an input text in the source language to the target language; using the first bridge-based alignment to generate a second candidate translation of the input text in the source language to the target language; and determining a consensus translation using the candidate translations. 6. The method of claim 1 , further comprising: determining a plurality of bridge-based alignments between the source language and the target language using a plurality of respective bridge languages. | 0.827556 |
8,862,534 | 1 | 11 | 1. A computer-implemented method for understanding the meaning of an object given its unstructured textual description and using that understanding together with a user's demographics to retrieve other demographically and psychographic similar objects stored in an index, comprising the steps of: provisioning a server coupled to a network for communications; indexing a large corpus of anonymous demographic data defined at multiple levels of granularity; indexing a large knowledge corpus of encyclopedic text articles to form a content vector space defined by the text content; indexing knowledge corpus of encyclopedic text article categories and their interconnections to form a category space defined by a set of categories; storing in a datastore accessible to the server, data representing the content of the text articles represented as an inverted index; storing in a datastore accessible to the server, data representing the category space represented as a directed cyclic graph; acquiring individual location associated with each one of a plurality of remote users over the communications network; acquiring text data associated with each one of the plurality of remote users over the communications network; acquiring, directly, psychographic data associated with each one of the plurality of remote users over the communications network; projecting the location data associated with each one of the plurality of remote users over the communications network onto the demographic knowledge base to infer their demographic data; projecting the text data associated with each one of the plurality of remote users over the communications network onto the encyclopedic knowledge base to infer their similarity data; projecting the acquired user text data on to the defined category space to infer psychographic data, including representing each user's characteristics as an n-dimensional concept vector based on the said category space, each dimension having a binary value for including, or conversely excluding, the corresponding category; receiving data at the server associated with an object for matching the object to at least one of the remote users, wherein the object data includes at least minimal demographic data and psychographic data associated with the object; projecting the received psychographic object data on to the defined category space, including representing the object as an n-dimensional concept vector; determining a first similarity metric for each user relative to the object, based on the corresponding demographic data; estimating a second similarity metric for each user relative to the object, based on the corresponding n-dimensional concept vectors; and matching the object to at least one of the users based on a weighted combination of the first and second similarity metrics. | 1. A computer-implemented method for understanding the meaning of an object given its unstructured textual description and using that understanding together with a user's demographics to retrieve other demographically and psychographic similar objects stored in an index, comprising the steps of: provisioning a server coupled to a network for communications; indexing a large corpus of anonymous demographic data defined at multiple levels of granularity; indexing a large knowledge corpus of encyclopedic text articles to form a content vector space defined by the text content; indexing knowledge corpus of encyclopedic text article categories and their interconnections to form a category space defined by a set of categories; storing in a datastore accessible to the server, data representing the content of the text articles represented as an inverted index; storing in a datastore accessible to the server, data representing the category space represented as a directed cyclic graph; acquiring individual location associated with each one of a plurality of remote users over the communications network; acquiring text data associated with each one of the plurality of remote users over the communications network; acquiring, directly, psychographic data associated with each one of the plurality of remote users over the communications network; projecting the location data associated with each one of the plurality of remote users over the communications network onto the demographic knowledge base to infer their demographic data; projecting the text data associated with each one of the plurality of remote users over the communications network onto the encyclopedic knowledge base to infer their similarity data; projecting the acquired user text data on to the defined category space to infer psychographic data, including representing each user's characteristics as an n-dimensional concept vector based on the said category space, each dimension having a binary value for including, or conversely excluding, the corresponding category; receiving data at the server associated with an object for matching the object to at least one of the remote users, wherein the object data includes at least minimal demographic data and psychographic data associated with the object; projecting the received psychographic object data on to the defined category space, including representing the object as an n-dimensional concept vector; determining a first similarity metric for each user relative to the object, based on the corresponding demographic data; estimating a second similarity metric for each user relative to the object, based on the corresponding n-dimensional concept vectors; and matching the object to at least one of the users based on a weighted combination of the first and second similarity metrics. 11. The method of claim 1 including, in a case where the acquired user demographic data is missing a dimension necessary to determining the first similarity metric, computing an expected value of the missing dimension data by mining a demographic knowledge base. | 0.833967 |
9,914,057 | 1 | 12 | 1. A system, comprising: a plurality of electronic devices, each configured to produce an effect based on a current context of a story in response to detecting an occurrence of a stimulus event, wherein the effect is at least one of an auditory and a visual effect, and wherein at least one of the respective stimulus events for each of the plurality of electronic devices comprises detecting, based on data values collected from one or more sensor devices, performance of a user action by a first user in a physical environment in which the plurality of electronic devices and the first user are located; and a controller device configured to: determine that the plurality of electronic devices are present in the physical environment and are available and compatible with the story, through wireless communication with each of the plurality of electronic devices; manage a playback of the story within the physical environment, by transmitting one or more instructions to each of the plurality of electronic devices to adjust the stimulus event and the effect of each of the plurality of electronic devices, based on the current context of the story; during the playback of the story, determine that a first one of the plurality of electronic devices has become unavailable; and adjust the playback of the story within the physical environment, by transmitting one or more instructions to each of a second plurality of electronic devices, non-inclusive of the first electronic device, to update the stimulus event and the effect of each of the second plurality of electronic devices, based on an updated context of the story. | 1. A system, comprising: a plurality of electronic devices, each configured to produce an effect based on a current context of a story in response to detecting an occurrence of a stimulus event, wherein the effect is at least one of an auditory and a visual effect, and wherein at least one of the respective stimulus events for each of the plurality of electronic devices comprises detecting, based on data values collected from one or more sensor devices, performance of a user action by a first user in a physical environment in which the plurality of electronic devices and the first user are located; and a controller device configured to: determine that the plurality of electronic devices are present in the physical environment and are available and compatible with the story, through wireless communication with each of the plurality of electronic devices; manage a playback of the story within the physical environment, by transmitting one or more instructions to each of the plurality of electronic devices to adjust the stimulus event and the effect of each of the plurality of electronic devices, based on the current context of the story; during the playback of the story, determine that a first one of the plurality of electronic devices has become unavailable; and adjust the playback of the story within the physical environment, by transmitting one or more instructions to each of a second plurality of electronic devices, non-inclusive of the first electronic device, to update the stimulus event and the effect of each of the second plurality of electronic devices, based on an updated context of the story. 12. The system of claim 1 , wherein the stimulus event is based on a location of an object in the environment that is determined by a camera on a first electronic device. | 0.775726 |
9,269,353 | 6 | 8 | 6. A method, comprising: receiving a content at a server over a network; identifying a first token in the content using the server; determining a first probable measure of meaning (PMM) for the first token from a PMM database stored on the server; identifying at least two second tokens; determining a second PMM for each of the at least two second tokens from the PMM database stored on the server; using a proximity function (PF) to modify each of the second PMMs for each of the at least two second tokens, the proximity function factoring in the first token and a distance between the first token and each of the at least two second tokens; and generating a relative measure of meaning (RMM) for the first token, the RMM factoring in the first PMM for the first token and each of the modified PMMs for each of the at least two second tokens, according to R M M ( token n ) = P M M ( token n ) ⨯ Mean d i = - d ( P M M ( token n - i ) * P F ( token n , token n - i , i ) ) . | 6. A method, comprising: receiving a content at a server over a network; identifying a first token in the content using the server; determining a first probable measure of meaning (PMM) for the first token from a PMM database stored on the server; identifying at least two second tokens; determining a second PMM for each of the at least two second tokens from the PMM database stored on the server; using a proximity function (PF) to modify each of the second PMMs for each of the at least two second tokens, the proximity function factoring in the first token and a distance between the first token and each of the at least two second tokens; and generating a relative measure of meaning (RMM) for the first token, the RMM factoring in the first PMM for the first token and each of the modified PMMs for each of the at least two second tokens, according to R M M ( token n ) = P M M ( token n ) ⨯ Mean d i = - d ( P M M ( token n - i ) * P F ( token n , token n - i , i ) ) . 8. A method according to claim 6 , wherein: identifying at least two second tokens includes identifying a second token preceding the first token and a third token following the first token; determining a second PMM for each of the at least two second tokens from the PMM database includes determining the second PMM for the second token from the PMM database and determining a third PMM for the third token from the PMM database; using a proximity function to modify each of the second PMMs for each of the at least two second tokens includes using the proximity function to modify the second PMM for the second token and to modify the third PMM for the third token, the proximity function factoring in the first token and the distance between the first token and the second token and third token; and generating a RMM for the first token includes generating the RMM for the first token, the RMM factoring in the first PMM for the first token, the modified PMM for the second token, and the modified PMM for the third token. | 0.5 |
8,027,988 | 12 | 14 | 12. A system, comprising: one or more server devices comprising: means for receiving information regarding a plurality of documents; means for identifying one or more categories associated with the plurality of documents; means for generating a score for each of the one or more categories; and means for selecting one of the one or more categories, as a category suggestion, based on the scores generated for the one or more categories. | 12. A system, comprising: one or more server devices comprising: means for receiving information regarding a plurality of documents; means for identifying one or more categories associated with the plurality of documents; means for generating a score for each of the one or more categories; and means for selecting one of the one or more categories, as a category suggestion, based on the scores generated for the one or more categories. 14. The system of claim 12 , where the means for generating the score for each of the one or more categories includes, for a given category: means for obtaining scores of documents, in the plurality of documents, associated with the category, and means for combining the obtained scores, of the documents, to obtain the score for the category. | 0.5 |
8,230,330 | 13 | 16 | 13. A computer-readable storage medium retrievably storing a computer-executable program for causing a computer to process a flow processing document, the computer program comprising steps of: extracting, from a first flow description document, a first description which specifies services to be invoked by the first flow description document, and extracting, from a second flow description document, a second description which specifies services to be invoked by the second flow description document; detecting a common part between the first description of the first flow description document and the second description of the second flow description document, wherein services specified by the first description extracted from the first flow description document include one or more services among services specified by the second description extracted from the second flow description document; and rewriting the common part in the second flow description document into a reference to the common part in the first flow description document, wherein the reference includes identification information of the first flow description document, and information which specifies a start tag and end tag of the common part. | 13. A computer-readable storage medium retrievably storing a computer-executable program for causing a computer to process a flow processing document, the computer program comprising steps of: extracting, from a first flow description document, a first description which specifies services to be invoked by the first flow description document, and extracting, from a second flow description document, a second description which specifies services to be invoked by the second flow description document; detecting a common part between the first description of the first flow description document and the second description of the second flow description document, wherein services specified by the first description extracted from the first flow description document include one or more services among services specified by the second description extracted from the second flow description document; and rewriting the common part in the second flow description document into a reference to the common part in the first flow description document, wherein the reference includes identification information of the first flow description document, and information which specifies a start tag and end tag of the common part. 16. The medium according to claim 13 , wherein in the rewriting step, execution of the common part in the first flow description document is designated based on the reference when executing the second flow description document. | 0.672911 |
8,583,448 | 17 | 18 | 17. A search engine method, said search engine method comprising: providing a search engine service, said providing said search engine service comprising providing a plurality of results in response to a first query, said first query being received at a first computer system via a first computer network; verifying, by a computer, ownership or control of at least one website, said verifying ownership or control comprising (i) generating a first identifier, (ii) requesting a first resource, and (iii) determining whether said first identifier appears in said first resource; and providing at least one auxiliary service for verified websites; wherein said auxiliary service is selected from the group consisting of: (i) providing website analytic data; (ii) providing an electronic shopping cart or checkout mechanism; (iii) causing display of financial status indicia; (iv) providing a customizable search engine; (v) causing display of a customizable toolbar; (vi) causing display of an advertisement that is relevant to a first term; (vii) providing search query disambiguation; (viii) sharing with a first entity proceeds from a first transaction; and (ix) causing display of real-time quantity indicia. | 17. A search engine method, said search engine method comprising: providing a search engine service, said providing said search engine service comprising providing a plurality of results in response to a first query, said first query being received at a first computer system via a first computer network; verifying, by a computer, ownership or control of at least one website, said verifying ownership or control comprising (i) generating a first identifier, (ii) requesting a first resource, and (iii) determining whether said first identifier appears in said first resource; and providing at least one auxiliary service for verified websites; wherein said auxiliary service is selected from the group consisting of: (i) providing website analytic data; (ii) providing an electronic shopping cart or checkout mechanism; (iii) causing display of financial status indicia; (iv) providing a customizable search engine; (v) causing display of a customizable toolbar; (vi) causing display of an advertisement that is relevant to a first term; (vii) providing search query disambiguation; (viii) sharing with a first entity proceeds from a first transaction; and (ix) causing display of real-time quantity indicia. 18. The search engine method in claim 17 wherein: said first identifier appears in at least one of (i) first content of said first resource or (ii) a first file name. | 0.788265 |
7,991,129 | 34 | 36 | 34. The system of claim 33 , wherein the service includes delivering, in the automated voice, information concerning at least one email message having a particular status. | 34. The system of claim 33 , wherein the service includes delivering, in the automated voice, information concerning at least one email message having a particular status. 36. The system of claim 34 , wherein the particular status is determined by obtaining an identifier of the at least one email message, and comparing the identifier against a list of identifiers of email messages. | 0.650165 |
9,250,706 | 1 | 2 | 1. A system for creating a unique signature, the signature discrete from underpinning symbols, comprising a processor, and a computer readable storage medium storing instructions thereon that, when executed by the processor, cause the system to perform a method comprising the steps of: displaying a template having a plurality of symbols in an array, wherein the template of symbols is a keyboard or the template of symbols is displayed on a screen; receiving user input of a sequence of the symbols in the array to form the unique signature, wherein the sequence has an order including a beginning symbol, at least one intervening symbol and an ending symbol; generating and drawing a continuous line on the screen, wherein the line connects the positions of all the received symbols in the order input by the user, to form a unique signature discrete from the underpinning symbols and the template of symbols; wherein the unique signature is electronically generated by the processing device and is securely stored electronically; and wherein the system is configured to insert the unique signature into a document, indicating the document has been signed by the user. | 1. A system for creating a unique signature, the signature discrete from underpinning symbols, comprising a processor, and a computer readable storage medium storing instructions thereon that, when executed by the processor, cause the system to perform a method comprising the steps of: displaying a template having a plurality of symbols in an array, wherein the template of symbols is a keyboard or the template of symbols is displayed on a screen; receiving user input of a sequence of the symbols in the array to form the unique signature, wherein the sequence has an order including a beginning symbol, at least one intervening symbol and an ending symbol; generating and drawing a continuous line on the screen, wherein the line connects the positions of all the received symbols in the order input by the user, to form a unique signature discrete from the underpinning symbols and the template of symbols; wherein the unique signature is electronically generated by the processing device and is securely stored electronically; and wherein the system is configured to insert the unique signature into a document, indicating the document has been signed by the user. 2. The system for creating a unique signature as described in claim 1 , wherein the symbols of the template of symbols are letters in an alphabet, numbers, punctuation marks and typographic characters. | 0.5 |
8,548,814 | 6 | 7 | 6. A phonetic language translation system according to claim 4 , wherein said “brain language area activity knowledge base” is an exhaustive, comprehensive, obsessively massive list of brain signal samples of language areas activity information, wherein said list of brain signal samples are the collected information from experimental test results data of brain's language area activities and collected information from neurologists about brain's language areas comprehension. | 6. A phonetic language translation system according to claim 4 , wherein said “brain language area activity knowledge base” is an exhaustive, comprehensive, obsessively massive list of brain signal samples of language areas activity information, wherein said list of brain signal samples are the collected information from experimental test results data of brain's language area activities and collected information from neurologists about brain's language areas comprehension. 7. A phonetic language translation system according to claim 6 , a “brain language area activity knowledge base” comprises of massive store house of brain signals characterizations for all native languages spoken across the world, wherein said massive store house of brain signals are millions and millions of brain signals collected by recording the language area activity of the human brains, wherein said recording the said language area activity of the human brains is the experiments with people from all cultures around the world and while listening to the audible program in their native language, brain activity signals from the said language area of their brain are recorded; wherein said brain signals are act as raw translations that indicate how the brain perceives the audible program in human beings native language, the recorded said brain signals are then analyzed and the characteristics of the said brain signals are stored in the said “brain language area activity knowledge base” along with the equivalent native language name. | 0.5 |
9,753,921 | 1 | 6 | 1. A method in a document management system, wherein each user of the document management system is associated with a user identifier, the method comprising: storing a document in a document management system, wherein the document comprises text portions, each text portion authored by a user; receiving a comment for the document, the comment associated with a selected text span in the document; creating a thread, the thread having a comment list, a text span element, an audience, and a notification element; associating the selected text span with the text span element of the thread; associating the comment with the comment list of the thread; determining each user who authored a text portion of the document that overlaps the text span for the thread, and including the user identifier of each determined user in the audience element of the thread; identifying in the selected text span each user primitive mentioning a user, each user primitive comprising a predetermined token followed by a user name of a user, and including a user identifier associated with each identified user primitive in the audience element of the thread; transmitting to each user having a user identifier in the audience element of the thread a notification message, the notification message including a link including addressing information to access the document and the comment in the document management system. | 1. A method in a document management system, wherein each user of the document management system is associated with a user identifier, the method comprising: storing a document in a document management system, wherein the document comprises text portions, each text portion authored by a user; receiving a comment for the document, the comment associated with a selected text span in the document; creating a thread, the thread having a comment list, a text span element, an audience, and a notification element; associating the selected text span with the text span element of the thread; associating the comment with the comment list of the thread; determining each user who authored a text portion of the document that overlaps the text span for the thread, and including the user identifier of each determined user in the audience element of the thread; identifying in the selected text span each user primitive mentioning a user, each user primitive comprising a predetermined token followed by a user name of a user, and including a user identifier associated with each identified user primitive in the audience element of the thread; transmitting to each user having a user identifier in the audience element of the thread a notification message, the notification message including a link including addressing information to access the document and the comment in the document management system. 6. The method of claim 1 , wherein determining each user who authored a text portion of the document that overlaps the text span for the thread further comprises: storing for the document an author list indicating for sequential portions of text, an author of the portion and a length of the portion; comparing the selected text span with the author list to identify portions of text that overlap the text span; and determining the author of each text portion that overlaps the text span. | 0.5 |
9,058,331 | 16 | 18 | 16. A computer program product comprising a non-transitory computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to: receive an image from a user device; search the database of mixed media objects to identify and retrieve a mixed media object in which the image occurs; identify a cluster including the mixed media object in which the image occurs; transmit a reference to the cluster to a social network application; determine, by the social network application, whether a conversation associated with the cluster exists in a social network; and responsive to an absence of the conversation, generate the conversation associated with the cluster in the social network. | 16. A computer program product comprising a non-transitory computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to: receive an image from a user device; search the database of mixed media objects to identify and retrieve a mixed media object in which the image occurs; identify a cluster including the mixed media object in which the image occurs; transmit a reference to the cluster to a social network application; determine, by the social network application, whether a conversation associated with the cluster exists in a social network; and responsive to an absence of the conversation, generate the conversation associated with the cluster in the social network. 18. The computer program product of claim 16 , wherein responsive to determining that the conversation exists, the computer readable program causes the computer to provide a user associated with the image with access to the conversation. | 0.713075 |
9,405,841 | 23 | 24 | 23. A computer program product embedded in a non-transitory computer-readable medium for providing dynamic and category specific search suggestions to a user, the computer program product including instructions that, when executed by at least one computing device, cause the at least one computing device to: in response to receiving one or more characters associated with a partial search query to be executed against a set of data, determine a plurality of search queries relevant to the one or more characters; associate at least one search category with each of the plurality of relevant search query suggestions; determine at least a subset of the at least one associated search category based at least in part a relevance value for each category meeting a threshold relevance value, the relevance value indicating a strength of an association of each category in the subset of the at least one associated search category with the one or more of the plurality of relevant search query suggestions; provide for display at least the subset of the at least one associated search category and the plurality of relevant search query suggestions, the plurality of relevant search query suggestions including the one or more characters of the partial search query; determine an ordered set of some of the plurality of relevant search query suggestions and the subset of the at least one associated search category based at least in part on the relevance value of each category; and provide for display, within an allowable deviation from being simultaneous to receiving the one or more characters, a search suggestion window including the ordered set, wherein the some of the plurality of relevant search query suggestions and the subset of the at least one associated search category of the ordered set are displayed concurrently in the search suggestion window, the subset of the at least one of the relevant search query suggestions selectable to be executed against the set of data in the associated search category. | 23. A computer program product embedded in a non-transitory computer-readable medium for providing dynamic and category specific search suggestions to a user, the computer program product including instructions that, when executed by at least one computing device, cause the at least one computing device to: in response to receiving one or more characters associated with a partial search query to be executed against a set of data, determine a plurality of search queries relevant to the one or more characters; associate at least one search category with each of the plurality of relevant search query suggestions; determine at least a subset of the at least one associated search category based at least in part a relevance value for each category meeting a threshold relevance value, the relevance value indicating a strength of an association of each category in the subset of the at least one associated search category with the one or more of the plurality of relevant search query suggestions; provide for display at least the subset of the at least one associated search category and the plurality of relevant search query suggestions, the plurality of relevant search query suggestions including the one or more characters of the partial search query; determine an ordered set of some of the plurality of relevant search query suggestions and the subset of the at least one associated search category based at least in part on the relevance value of each category; and provide for display, within an allowable deviation from being simultaneous to receiving the one or more characters, a search suggestion window including the ordered set, wherein the some of the plurality of relevant search query suggestions and the subset of the at least one associated search category of the ordered set are displayed concurrently in the search suggestion window, the subset of the at least one of the relevant search query suggestions selectable to be executed against the set of data in the associated search category. 24. The computer program product of claim 23 , further including instructions that, when executed by at least one computing device, cause the at least one computing device to: dynamically update the ordered set of relevant search query suggestions and associated search categories as characters are entered or deleted. | 0.652838 |
9,338,071 | 23 | 26 | 23. A method for conveying locale information for an electronic device, comprising: receiving, from a remote device and via a network interface of at least one network interfaces of an electronic device, a request for active or available locales for the electronic device; sending, to the remote device and via the network interface, a message in a locale profile format including a list of available locales, wherein the message comprises: a version field that indicates a version of schema used to transmit the list of available locales; an active local field that indicates a locale currently being used by the electronic device; and an available locales field that indicates which locales are available for use, wherein the version field includes a profile tag that indicates that the following information relates to the version of schema used to transmit the list of available locales, wherein the profile tag comprises a tag value of 0x0002 that indicates that a following data payload designates the version of the schema which the electronic device uses to transmit the list of available locales, wherein each version of the schema corresponding to an integer of the integers between 0 and 255 is additive relative to versions of the schema corresponding to lower integers, and the version integer is advisory to the remote device to inform the remote device that schema fields are present in the schema that are newer than those present in only the versions of the schema corresponding to the lower integers, and wherein each version of the schema corresponding to an integer of the integers between 0 and 255 is additive relative to versions of the schema corresponding to lower integers, and the version integer is advisory to the remote device to inform the remote device that schema fields are present in the schema that are newer than those present in only the versions of the schema corresponding to the lower integers. | 23. A method for conveying locale information for an electronic device, comprising: receiving, from a remote device and via a network interface of at least one network interfaces of an electronic device, a request for active or available locales for the electronic device; sending, to the remote device and via the network interface, a message in a locale profile format including a list of available locales, wherein the message comprises: a version field that indicates a version of schema used to transmit the list of available locales; an active local field that indicates a locale currently being used by the electronic device; and an available locales field that indicates which locales are available for use, wherein the version field includes a profile tag that indicates that the following information relates to the version of schema used to transmit the list of available locales, wherein the profile tag comprises a tag value of 0x0002 that indicates that a following data payload designates the version of the schema which the electronic device uses to transmit the list of available locales, wherein each version of the schema corresponding to an integer of the integers between 0 and 255 is additive relative to versions of the schema corresponding to lower integers, and the version integer is advisory to the remote device to inform the remote device that schema fields are present in the schema that are newer than those present in only the versions of the schema corresponding to the lower integers, and wherein each version of the schema corresponding to an integer of the integers between 0 and 255 is additive relative to versions of the schema corresponding to lower integers, and the version integer is advisory to the remote device to inform the remote device that schema fields are present in the schema that are newer than those present in only the versions of the schema corresponding to the lower integers. 26. The method of claim 23 comprising receiving a request from the remote device to change the active locale for the electronic device from the active locale indicated in the message to an available locale listed in the available locales field transmitted in the message from the electronic device to the remote device in response to the request for active or available locales for the electronic device. | 0.5 |
8,977,629 | 1 | 3 | 1. A method comprising: accessing an image that corresponds to a description of an item depicted in the image; determining an image quality score of the image that depicts the item and corresponds to the description of the item, the determining of the image quality score of the image including segmenting the image to identify a foreground of the image and a background of the image and determining a brightness difference between the segmented background of the image and the segmented foreground of the image, the determined image quality score representing a degree of clarity with which the image shows the item in the segmented foreground of the image, the determining of the image quality score being performed by a processor of a machine based on an analysis of the image that depicts the item; receiving a request for search results of which at least some pertain to the description of the item depicted in the image; and presenting a search result that is referential of the image of the item based on the image quality score of the image and in response to the request for the search results of which at least some pertain to the description of the item depicted in the image, the presenting of the search result being performed by a processor of a machine. | 1. A method comprising: accessing an image that corresponds to a description of an item depicted in the image; determining an image quality score of the image that depicts the item and corresponds to the description of the item, the determining of the image quality score of the image including segmenting the image to identify a foreground of the image and a background of the image and determining a brightness difference between the segmented background of the image and the segmented foreground of the image, the determined image quality score representing a degree of clarity with which the image shows the item in the segmented foreground of the image, the determining of the image quality score being performed by a processor of a machine based on an analysis of the image that depicts the item; receiving a request for search results of which at least some pertain to the description of the item depicted in the image; and presenting a search result that is referential of the image of the item based on the image quality score of the image and in response to the request for the search results of which at least some pertain to the description of the item depicted in the image, the presenting of the search result being performed by a processor of a machine. 3. The method of claim 1 , wherein: the presenting of the search result based on the image quality score includes ranking the search results based on the image quality score and displaying the search results according to at least one rank determined by the ranking of the search results. | 0.697257 |
7,778,462 | 1 | 2 | 1. A method of classifying an image using a computer to perform steps comprising: quantifying each of a plurality of visual properties of a region of the image; determining from each quantified property a computer-readable character from among a plurality of computer-readable characters; forming a region character string from the determined characters; and classifying, using the computer, the region using the region character string. | 1. A method of classifying an image using a computer to perform steps comprising: quantifying each of a plurality of visual properties of a region of the image; determining from each quantified property a computer-readable character from among a plurality of computer-readable characters; forming a region character string from the determined characters; and classifying, using the computer, the region using the region character string. 2. The method as claimed in claim 1 , wherein quantifying comprises quantifying each of the visual properties on a numeric scale for each of the properties. | 0.633803 |
8,620,918 | 19 | 20 | 19. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a plurality of electronic documents associated with a domain at a server, wherein each of the plurality of electronic documents includes meta-data and textual content; for each electronic document in at least a subset of the plurality of electronic documents: identifying one or more text strings in the textual content that are to be processed differently than an identical or similar text string in other electronic documents based on the meta-data associated with the electronic document; and associating, with the electronic document, data indicating that each of the identified text strings is to be processed differently than an identical or similar text string in other electronic documents; and performing an analysis of the electronic documents to identify one or more subsets of the electronic documents that include related subject matter, wherein a first degree of relatedness of subject matter is associated with identical or similar text strings that do not have associated data indicating that each of the identical or similar text strings is to be processed differently; and wherein a second degree of relatedness of subject matter, different than the first degree of relatedness, is associated with identical or similar text strings, in which one of the text strings has associated data indicating that the text string is to be processed differently and the other text string does not have data indicating that the text string is to be processed differently. | 19. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: receiving a plurality of electronic documents associated with a domain at a server, wherein each of the plurality of electronic documents includes meta-data and textual content; for each electronic document in at least a subset of the plurality of electronic documents: identifying one or more text strings in the textual content that are to be processed differently than an identical or similar text string in other electronic documents based on the meta-data associated with the electronic document; and associating, with the electronic document, data indicating that each of the identified text strings is to be processed differently than an identical or similar text string in other electronic documents; and performing an analysis of the electronic documents to identify one or more subsets of the electronic documents that include related subject matter, wherein a first degree of relatedness of subject matter is associated with identical or similar text strings that do not have associated data indicating that each of the identical or similar text strings is to be processed differently; and wherein a second degree of relatedness of subject matter, different than the first degree of relatedness, is associated with identical or similar text strings, in which one of the text strings has associated data indicating that the text string is to be processed differently and the other text string does not have data indicating that the text string is to be processed differently. 20. The computer storage medium of claim 19 further comprising: generating a modified electronic document, wherein the data associated with each identified text string is included in the modified electronic document. | 0.569721 |
8,290,924 | 1 | 14 | 1. A method to answer a query, comprising: saving, in a first database, website classifications of websites based on contents; receiving keywords in the query; determining query specifications from the keywords, the query specifications being website classifications of websites that may contain an answer to the query; determining a group of websites based on the query specifications and the website classifications saved in the first database; selecting a website from the group based on credibility of the websites saved in a second database; searching web pages of the website for the answer; selecting the answer from the web pages; and transmitting the answer. | 1. A method to answer a query, comprising: saving, in a first database, website classifications of websites based on contents; receiving keywords in the query; determining query specifications from the keywords, the query specifications being website classifications of websites that may contain an answer to the query; determining a group of websites based on the query specifications and the website classifications saved in the first database; selecting a website from the group based on credibility of the websites saved in a second database; searching web pages of the website for the answer; selecting the answer from the web pages; and transmitting the answer. 14. The method of claim 1 , wherein the credibility of the websites is based on numbers of links from other websites in the group to the websites. | 0.752542 |
7,895,573 | 8 | 10 | 8. A method of managing a system of containers accessible to a computer system by generating and using an inventory of a plurality of protected containers in the system of containers, the plurality of protected containers being accessible to the computer system from at least one of a locally-accessible storage device, a remotely-accessible file storage system, or a storage repository, wherein each of the protected containers is executable in at least one of a plurality of execution environments characterizing the computer system, the method comprising: evaluating each container in the system of containers to determine whether at least a portion of each container is executable in at least one of the plurality of execution environments characterizing the computer system; generating the inventory including a plurality of identifiers corresponding respectively to each of the plurality of protected containers, wherein each identifier includes information specific to accessing or locating the corresponding protected container, information uniquely representing the corresponding protected container, or a combination thereof, wherein the inventory is maintained by container management and protection software including an interception module, the inventory for use by the interception module; dynamically intercepting, by the interception module, an operation request on the computer system for a targeted container, the operation request selected from a group consisting of a user-initiated request and a software process initiated request; identifying the targeted container of the intercepted operation request; analyzing the inventory of the plurality of protected containers to determine if an identifier corresponding to one of the plurality of protected containers matches that of the targeted container; allowing the operation request if the operation request is a change request and if it is determined that none of the identifiers corresponding to the plurality of protected containers matches that of the targeted container; and evaluating, if the operation request is allowed, whether an operation resulting from the operation request creates a new container that is executable in at least one of the plurality of execution environments characterizing the computer system, wherein if the new container is created then a new identifier corresponding to the new container is added to the inventory if the operation is authorized. | 8. A method of managing a system of containers accessible to a computer system by generating and using an inventory of a plurality of protected containers in the system of containers, the plurality of protected containers being accessible to the computer system from at least one of a locally-accessible storage device, a remotely-accessible file storage system, or a storage repository, wherein each of the protected containers is executable in at least one of a plurality of execution environments characterizing the computer system, the method comprising: evaluating each container in the system of containers to determine whether at least a portion of each container is executable in at least one of the plurality of execution environments characterizing the computer system; generating the inventory including a plurality of identifiers corresponding respectively to each of the plurality of protected containers, wherein each identifier includes information specific to accessing or locating the corresponding protected container, information uniquely representing the corresponding protected container, or a combination thereof, wherein the inventory is maintained by container management and protection software including an interception module, the inventory for use by the interception module; dynamically intercepting, by the interception module, an operation request on the computer system for a targeted container, the operation request selected from a group consisting of a user-initiated request and a software process initiated request; identifying the targeted container of the intercepted operation request; analyzing the inventory of the plurality of protected containers to determine if an identifier corresponding to one of the plurality of protected containers matches that of the targeted container; allowing the operation request if the operation request is a change request and if it is determined that none of the identifiers corresponding to the plurality of protected containers matches that of the targeted container; and evaluating, if the operation request is allowed, whether an operation resulting from the operation request creates a new container that is executable in at least one of the plurality of execution environments characterizing the computer system, wherein if the new container is created then a new identifier corresponding to the new container is added to the inventory if the operation is authorized. 10. The method of claim 8 , wherein: the evaluating each container in the system of containers includes evaluating only a portion of contents of a container to determine whether the container is executable in at least one of a plurality of execution environments characterizing the computer system. | 0.632099 |
5,485,543 | 6 | 7 | 6. An apparatus for speech analysis and synthesis comprising: means for sampling a short-period power spectrum of speech input into said apparatus with a sampling frequency to obtain sample points, said sampling frequency being controlled so as to trace a basic frequency of input voiced speech; means for applying a cosine polynomial model to the thus obtained sample points to determine a spectrum envelope; means for calculating mel cepstrum coefficients from the spectrum envelope; and means for effecting speech synthesis utilizing the mel cepstrum coefficients as filter coefficients of a mel logarithmic spectrum approximation filter used for speech synthesis. | 6. An apparatus for speech analysis and synthesis comprising: means for sampling a short-period power spectrum of speech input into said apparatus with a sampling frequency to obtain sample points, said sampling frequency being controlled so as to trace a basic frequency of input voiced speech; means for applying a cosine polynomial model to the thus obtained sample points to determine a spectrum envelope; means for calculating mel cepstrum coefficients from the spectrum envelope; and means for effecting speech synthesis utilizing the mel cepstrum coefficients as filter coefficients of a mel logarithmic spectrum approximation filter used for speech synthesis. 7. An apparatus according to claim 6, wherein said calculating means comprises means for converting the frequency axis of the spectrum envelope into a mel approximation scale and applying an inverse Fast Fourier Transform operation of the mel logrithmic spectrum envelope. | 0.5 |
8,880,529 | 2 | 4 | 2. The method of claim 1 , further comprising: determining where, in a hierarchy of previously stored tags, the particular tag is to be stored; and storing the particular tag in the hierarchy; providing the set of tags to the devices for use in the user interfaces in accordance with the hierarchy. | 2. The method of claim 1 , further comprising: determining where, in a hierarchy of previously stored tags, the particular tag is to be stored; and storing the particular tag in the hierarchy; providing the set of tags to the devices for use in the user interfaces in accordance with the hierarchy. 4. The method of claim 2 , wherein determining where, in the hierarchy of previously stored tags, the particular tag is to be stored further comprises receiving, at the server, with the particular tag, user command input identifying one or more parent nodes to which the particular tag is a child. | 0.639563 |
10,055,450 | 1 | 3 | 1. A computer implemented method for representing temporal knowledge in Resource Definition Framework (RDF), for storing RDF temporal knowledge in a Knowledge Base that is managed by a Knowledge Base Management System (KBMS) that utilizes a Data Base Management System (DBMS), and for querying the temporal knowledge stored in the Knowledge Base, the method includes instructions for at least one of creating a temporal RDF triple, adding that triple to the Knowledge Base and querying the RDF temporal knowledge stored in the Knowledge Base, where the Knowledge Base and the KBMS and the DBMS reside in non-transitory computer-readable medium, the method comprises: creating, in memory, a temporal subject comprising a first value representing a subject, called a Subject Name, and a first period defined by a Begin1 time instant and an End1 time instant where the Begin1 time instant is less than the End1 time instant and where the first period includes all time instants starting from and including the Begin1 time instant up to but not including the End1 time instant; creating, in memory, a temporal object comprising a second value representing an object, called an Object Name, and a second period defined by a Begin2 time instant and an End2 time instant where the Begin2 time instant is less than the End2 time instant and where the second period includes all time instants starting from and including the Begin2 time instant up to but not including the End2 time instant; creating, in memory, a temporal predicate comprising a third value representing a predicate, called a Predicate Name, and a third period defined by a Begin3 time instant and an End3 time instant where the Begin3 time instant is less than or equal to the End3 time instant and where the third period includes all time instants starting from and including the Begin3 time instant up to but not including the End3 time instant; combining, in memory, the temporal subject, the temporal predicate and the temporal object, collectively called as a temporal resource, to form a temporal RDF triple, where the third period is a subset of the overlapping time instants of the first period and the second period; storing in the Knowledge Base one or more of the temporal subjects or temporal objects, after determining the existence and the time reference of the temporal subject or the temporal object, in one column of an Entity Table that has at least one column where a first value in a row of the Entity Table and a second value in a different row of the Entity Table do not have overlapping periods if the Subject Name of the first value and the Subject Name of the second value are the same or if the Object Name part of the first value and the Object Name of the second value are the same; storing in the Knowledge Base one or more of the temporal predicate, after determining the existence and time reference of the temporal predicate, in one column of a Predicate Table that has at least one column where a first value in a row of the Predicate Table and a second value in a different row of the Predicate Table do not have overlapping periods if the Predicate Name of the first value and the Predicate Name of the second value are the same; transforming, in memory, the temporal RDF triple into a quadruple where the first value is a triple Id which is a serial number identifying the temporal RDF triple, the second value is the Subject Name, the third value is the temporal predicate, and the fourth value is the Object Name, and storing in the Knowledge Base one or more of that quadruple in one or more rows of a Triple Table that has at least four columns, one temporal RDF triple for each row; mapping, in KBMS, the Subject Name in a row of the Entity Table and the Subject Name in a row of the Triple table to link these two tables, the Predicate Name in a row of the Predicate Table and the Predicate Name of the temporal predicate in a row of the Triple Table to link these two tables, and the Object Name in a row of the Entity Table and the Object Name in a row of the Triple table to link these two tables; parsing the query to an equivalent SQL query that the DBMS processes. | 1. A computer implemented method for representing temporal knowledge in Resource Definition Framework (RDF), for storing RDF temporal knowledge in a Knowledge Base that is managed by a Knowledge Base Management System (KBMS) that utilizes a Data Base Management System (DBMS), and for querying the temporal knowledge stored in the Knowledge Base, the method includes instructions for at least one of creating a temporal RDF triple, adding that triple to the Knowledge Base and querying the RDF temporal knowledge stored in the Knowledge Base, where the Knowledge Base and the KBMS and the DBMS reside in non-transitory computer-readable medium, the method comprises: creating, in memory, a temporal subject comprising a first value representing a subject, called a Subject Name, and a first period defined by a Begin1 time instant and an End1 time instant where the Begin1 time instant is less than the End1 time instant and where the first period includes all time instants starting from and including the Begin1 time instant up to but not including the End1 time instant; creating, in memory, a temporal object comprising a second value representing an object, called an Object Name, and a second period defined by a Begin2 time instant and an End2 time instant where the Begin2 time instant is less than the End2 time instant and where the second period includes all time instants starting from and including the Begin2 time instant up to but not including the End2 time instant; creating, in memory, a temporal predicate comprising a third value representing a predicate, called a Predicate Name, and a third period defined by a Begin3 time instant and an End3 time instant where the Begin3 time instant is less than or equal to the End3 time instant and where the third period includes all time instants starting from and including the Begin3 time instant up to but not including the End3 time instant; combining, in memory, the temporal subject, the temporal predicate and the temporal object, collectively called as a temporal resource, to form a temporal RDF triple, where the third period is a subset of the overlapping time instants of the first period and the second period; storing in the Knowledge Base one or more of the temporal subjects or temporal objects, after determining the existence and the time reference of the temporal subject or the temporal object, in one column of an Entity Table that has at least one column where a first value in a row of the Entity Table and a second value in a different row of the Entity Table do not have overlapping periods if the Subject Name of the first value and the Subject Name of the second value are the same or if the Object Name part of the first value and the Object Name of the second value are the same; storing in the Knowledge Base one or more of the temporal predicate, after determining the existence and time reference of the temporal predicate, in one column of a Predicate Table that has at least one column where a first value in a row of the Predicate Table and a second value in a different row of the Predicate Table do not have overlapping periods if the Predicate Name of the first value and the Predicate Name of the second value are the same; transforming, in memory, the temporal RDF triple into a quadruple where the first value is a triple Id which is a serial number identifying the temporal RDF triple, the second value is the Subject Name, the third value is the temporal predicate, and the fourth value is the Object Name, and storing in the Knowledge Base one or more of that quadruple in one or more rows of a Triple Table that has at least four columns, one temporal RDF triple for each row; mapping, in KBMS, the Subject Name in a row of the Entity Table and the Subject Name in a row of the Triple table to link these two tables, the Predicate Name in a row of the Predicate Table and the Predicate Name of the temporal predicate in a row of the Triple Table to link these two tables, and the Object Name in a row of the Entity Table and the Object Name in a row of the Triple table to link these two tables; parsing the query to an equivalent SQL query that the DBMS processes. 3. The method of claim 1 wherein the Entity Table has only one column for storing temporal entities and the Entity Table can further be augmented with at least one more column that includes an entity identifier that can further be stored in the subject column of the Triple Table instead of a Subject Name or in the object column of the Triple Table instead of an Object Name for further optimization, efficiency and expansion of the system. | 0.930899 |
8,374,871 | 3 | 4 | 3. A method as in claim 2 , wherein the step of extracting candidate phrases from the text corpus further comprises the step of identifying a first set of candidate phrases that includes phrases that occur in the text corpus with greater than a predetermined frequency. | 3. A method as in claim 2 , wherein the step of extracting candidate phrases from the text corpus further comprises the step of identifying a first set of candidate phrases that includes phrases that occur in the text corpus with greater than a predetermined frequency. 4. A method as in claim 3 , wherein the step of extracting candidate phrases from the text corpus further comprises the step of filtering the first set of candidate phrases to eliminate phrases from the first set of candidate phrases in accordance with one or more predetermined criteria. | 0.5 |
8,374,975 | 1 | 5 | 1. A method performed by one or more server devices, the method comprising: receiving, by a processor associated with the one or more server devices, a comment associated with a first document, the comment providing an opinion of, or remarks upon, a content of the first document; obtaining, by a processor associated with the one or more server devices, document clustering information which indicates that the first document is clustered with one or more second documents, the document clustering information being based on: textual information included in the first document, and textual information included in the one or more second documents; storing, in a memory associated with the one or more server devices, the comment in association with the first document and the one or more second documents based on the document clustering information indicating that the first document is clustered with the one or more second documents; presenting, by the one or more server devices, the comment in connection with the first document when the first document is accessed by a client device; and presenting, by the one or more server devices, the comment in connection with one of the one or more second documents when the one of the one or more second documents is accessed by the client device. | 1. A method performed by one or more server devices, the method comprising: receiving, by a processor associated with the one or more server devices, a comment associated with a first document, the comment providing an opinion of, or remarks upon, a content of the first document; obtaining, by a processor associated with the one or more server devices, document clustering information which indicates that the first document is clustered with one or more second documents, the document clustering information being based on: textual information included in the first document, and textual information included in the one or more second documents; storing, in a memory associated with the one or more server devices, the comment in association with the first document and the one or more second documents based on the document clustering information indicating that the first document is clustered with the one or more second documents; presenting, by the one or more server devices, the comment in connection with the first document when the first document is accessed by a client device; and presenting, by the one or more server devices, the comment in connection with one of the one or more second documents when the one of the one or more second documents is accessed by the client device. 5. The method of claim 1 , where receiving the comment associated with the first document includes: receiving one or more of: a name of an author who created the comment, a timestamp indicating a date or time at which the comment was created, a content of the comment, or an identifier of the first document. | 0.682474 |
8,739,021 | 14 | 20 | 14. A computer-implemented versioning method, comprising acts of: presenting a document for editing of document content through collaboration by multiple users; associating edits applied to the content of the document by the collaboration of multiple users with different corresponding version information; presenting the content in the document in an application interface; presenting the version information as part of the document within the document in the application interface, updating the version information based on new edits to the document by the collaboration of multiple users, to obtain updated version information; performing the collaboration in combination with a viewing window that presents an edit and version information in association with user identity information of a user that made the edit, the viewing window is a user interface of a messaging application that processes messages communicated between the users in combination with the collaboration; and utilizing a processor that executes instructions stored in memory to perform at least the acts of associating, presenting, updating, and performing. | 14. A computer-implemented versioning method, comprising acts of: presenting a document for editing of document content through collaboration by multiple users; associating edits applied to the content of the document by the collaboration of multiple users with different corresponding version information; presenting the content in the document in an application interface; presenting the version information as part of the document within the document in the application interface, updating the version information based on new edits to the document by the collaboration of multiple users, to obtain updated version information; performing the collaboration in combination with a viewing window that presents an edit and version information in association with user identity information of a user that made the edit, the viewing window is a user interface of a messaging application that processes messages communicated between the users in combination with the collaboration; and utilizing a processor that executes instructions stored in memory to perform at least the acts of associating, presenting, updating, and performing. 20. The method of claim 14 , further comprising presenting a message concurrently with the document. | 0.814126 |
9,081,550 | 1 | 3 | 1. Non-transitory computer-readable medium comprising computer-readable instructions that, when executed by a computer, adapt the computer to: provide a voice user interface controller (VUIcontroller) for automatically speech enabling a graphical user interface (GUI) at run time of the GUI; configure a user interface of the computer to receive first input from a GUI designer that identifies and includes the VUIcontroller in the GUI while designing the GUI so that the VUIcontroller will execute at run time of the GUI; configure the user interface of the computer to receive second input from the GUI designer that identifies and assigns, at design time of the GUI, at least one voice-enabling property to a first GUI control of the GUI; configure the user interface of the computer to receive third input from the GUI designer that identifies and disables, at design time of the GUI, voice control of a second GUI control of the GUI, wherein the VUIcontroller comprises instructions that are automatically executed at run time of the GUI to automatically: analyze the GUI from within a process that executes the GUI; generate a voice-enabled GUI based on the analysis; generate, from the analysis, a voice command set corresponding to voice-enabled controls of the GUI; and make the generated voice command set available to a speech-recognition engine. | 1. Non-transitory computer-readable medium comprising computer-readable instructions that, when executed by a computer, adapt the computer to: provide a voice user interface controller (VUIcontroller) for automatically speech enabling a graphical user interface (GUI) at run time of the GUI; configure a user interface of the computer to receive first input from a GUI designer that identifies and includes the VUIcontroller in the GUI while designing the GUI so that the VUIcontroller will execute at run time of the GUI; configure the user interface of the computer to receive second input from the GUI designer that identifies and assigns, at design time of the GUI, at least one voice-enabling property to a first GUI control of the GUI; configure the user interface of the computer to receive third input from the GUI designer that identifies and disables, at design time of the GUI, voice control of a second GUI control of the GUI, wherein the VUIcontroller comprises instructions that are automatically executed at run time of the GUI to automatically: analyze the GUI from within a process that executes the GUI; generate a voice-enabled GUI based on the analysis; generate, from the analysis, a voice command set corresponding to voice-enabled controls of the GUI; and make the generated voice command set available to a speech-recognition engine. 3. The non-transitory computer-readable medium of claim 1 , wherein the computer-readable instructions for the VUIcontroller comprise a routine callable from a GUI markup document. | 0.807281 |
9,767,802 | 10 | 11 | 10. A system for converting and transmitting audio information, comprising: an audio input receiving unit that receives spoken audio input; a first conversion unit that converts the received spoken audio input into audio digital data that is representative of the received spoken audio input; an audio digital data packet generation unit that generates a stream of audio digital data packets that contain the audio digital data; a textual representation conversion unit that generates a textual representation of the received spoken audio input; a textual digital data packet generation unit that generates a stream of textual digital data packets that contain the generated textual representation of the received spoken audio input; and a transmission unit that transmits the stream of audio digital data packets and the stream of textual digital data packets to a destination device; wherein at least one of the audio digital data packets and/or the textual digital data packets include information that indicates which audio digital data packets and digital data packets contain data relating to the same portions of the received spoken audio input. | 10. A system for converting and transmitting audio information, comprising: an audio input receiving unit that receives spoken audio input; a first conversion unit that converts the received spoken audio input into audio digital data that is representative of the received spoken audio input; an audio digital data packet generation unit that generates a stream of audio digital data packets that contain the audio digital data; a textual representation conversion unit that generates a textual representation of the received spoken audio input; a textual digital data packet generation unit that generates a stream of textual digital data packets that contain the generated textual representation of the received spoken audio input; and a transmission unit that transmits the stream of audio digital data packets and the stream of textual digital data packets to a destination device; wherein at least one of the audio digital data packets and/or the textual digital data packets include information that indicates which audio digital data packets and digital data packets contain data relating to the same portions of the received spoken audio input. 11. The system of claim 10 , wherein the each textual digital data packet includes sequence number information for at least one audio digital data packet that contains audio digital data that corresponds to the same portion of the received audio input as the textual digital data that is loaded in the textual digital data packet. | 0.565789 |
8,412,652 | 8 | 10 | 8. An apparatus comprising at least a processor and a memory, wherein the processor and/or memory are configured to perform the following operations: receiving a training and execution plan that specifies invocation of a trainer operator for initiating training of a trainee operator based on a set of training documents so as to generate a trained operator that is to then be invoked so as to extract information from one or more unknown documents, wherein the trainee operator is configured to extract information from one or more unknown documents and each training document is associated with classified information; after receipt of the training and execution plan, automatically executing the trainer operator to train the trainee operator based on the specified training documents so as to generate a trained operator for extracting information from documents; after receipt of the training and execution plan, automatically retaining the trained operator for later use in extracting information from one or more unknown documents; and after receipt of the training and execution plan, automatically executing the trained operator on one or more unknown documents so as to extract information from such one or more unknown documents. | 8. An apparatus comprising at least a processor and a memory, wherein the processor and/or memory are configured to perform the following operations: receiving a training and execution plan that specifies invocation of a trainer operator for initiating training of a trainee operator based on a set of training documents so as to generate a trained operator that is to then be invoked so as to extract information from one or more unknown documents, wherein the trainee operator is configured to extract information from one or more unknown documents and each training document is associated with classified information; after receipt of the training and execution plan, automatically executing the trainer operator to train the trainee operator based on the specified training documents so as to generate a trained operator for extracting information from documents; after receipt of the training and execution plan, automatically retaining the trained operator for later use in extracting information from one or more unknown documents; and after receipt of the training and execution plan, automatically executing the trained operator on one or more unknown documents so as to extract information from such one or more unknown documents. 10. The apparatus as recited in claim 8 , wherein the trainee operator is a previously trained operator and execution of the trainer operator is accomplished by: copying a plurality of immutable properties and values from the trainee operator and associating the copied immutable properties and values with the trained operator; and after execution of a learning algorithm results in a set of final mutable properties based on the training data and the trainee operator, associating the final mutable properties with the trained operator, wherein the final mutable properties include one or more of the following: a rule set specifying how to classify information, a plurality of weights for correlating one or more information features of a document with a particular classification result, a model for extracting information from a document, or thresholds for the number of features to consider. | 0.5 |
10,146,994 | 4 | 8 | 4. A method of generating a text line classifier, the method comprising: selecting a plurality of text characters from a font reservoir; varying an aspect of the plurality of text characters to form a plurality of character samples; randomly arranging a number of character samples from the plurality of character samples to form a line of character samples; varying an aspect of the line of character samples to form a line of text characters; and extracting from the line of text characters one or more of a gradient orientation histogram feature, a gradient magnitude histogram feature, a pixel histogram feature, and a pixel histogram change feature. | 4. A method of generating a text line classifier, the method comprising: selecting a plurality of text characters from a font reservoir; varying an aspect of the plurality of text characters to form a plurality of character samples; randomly arranging a number of character samples from the plurality of character samples to form a line of character samples; varying an aspect of the line of character samples to form a line of text characters; and extracting from the line of text characters one or more of a gradient orientation histogram feature, a gradient magnitude histogram feature, a pixel histogram feature, and a pixel histogram change feature. 8. The method of claim 4 , further comprising, generating a model corresponding to a type of the line of text characters based on the extracted features. | 0.690283 |
9,043,265 | 3 | 5 | 3. A computer implemented method as in claim 1 , wherein said boundary, indication, counter-indication and frame are named by specialized words, identifiers or symbols that belong to the specialized natural language of the knowledge domain. | 3. A computer implemented method as in claim 1 , wherein said boundary, indication, counter-indication and frame are named by specialized words, identifiers or symbols that belong to the specialized natural language of the knowledge domain. 5. A computer implemented method as in claim 3 , wherein the meaning of said specialized word, identifier or symbol given to the boundary, both separates and reunites the meaning of the indication and the counter-indication. | 0.517241 |
9,390,706 | 1 | 6 | 1. A system adapted to assist a user, which comprises: a node comprising a processor and a non-transitory computer readable medium operably couples thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises: instructions that, when executed, receive a user request; instructions that, when executed, retrieve or determine a personality type of the user from three or more personality types based on one or more user requests; instructions that, when executed, determine a set of outputs, wherein the set of outputs comprises a plurality of different modalities of a device and physical actions to control the device, responsive to the received user request; instructions that, when executed, rank the outputs in the set based on the determined personality type of the user; instructions that, when executed, deliver a ranked output to the user request in a modality of the device, wherein the modality of the device is determined based on the personality type and type of the device configured to deliver the output to the user; and instructions that, when executed, determine a distress level or engagement level of the user, or both, based on the ranked output delivered and the modality of delivery, and weight the ranked output for one or more future interactions with the user based on the determined distress level and/or engagement level. | 1. A system adapted to assist a user, which comprises: a node comprising a processor and a non-transitory computer readable medium operably couples thereto, the non-transitory computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, where the plurality of instructions comprises: instructions that, when executed, receive a user request; instructions that, when executed, retrieve or determine a personality type of the user from three or more personality types based on one or more user requests; instructions that, when executed, determine a set of outputs, wherein the set of outputs comprises a plurality of different modalities of a device and physical actions to control the device, responsive to the received user request; instructions that, when executed, rank the outputs in the set based on the determined personality type of the user; instructions that, when executed, deliver a ranked output to the user request in a modality of the device, wherein the modality of the device is determined based on the personality type and type of the device configured to deliver the output to the user; and instructions that, when executed, determine a distress level or engagement level of the user, or both, based on the ranked output delivered and the modality of delivery, and weight the ranked output for one or more future interactions with the user based on the determined distress level and/or engagement level. 6. The system of claim 1 , further comprising instructions that, when executed, rank the user request to prioritize requests for the user. | 0.642487 |
8,966,589 | 1 | 8 | 1. A method for providing for exception handling of interactive user communications privileges in a domain server governing interactive user communications privileges with entities outside a domain, comprising: monitoring a communication between a first user entity inside the domain and a second user entity outside the domain; in response to the communication, gathering insight information about the second user entity outside the domain; determining allowed interactive user communications privileges that identify one or more allowed types of interactive user communications between the first user entity and the second user entity outside the domain based on the insight information; receiving, in the domain server from the first user entity inside the domain, an interactive user communications privilege exception request comprising at least one non-allowed interactive user communications privilege for the second user entity outside the domain; sending, to a domain administrator, a permission request that identifies the at least one non-allowed interactive user communications privilege for the second user entity outside the domain: receiving, by the domain server, a message that indicates whether the interactive user communications privilege exception request is approved or declined; and storing, in the domain server, the interactive user communications privilege exception request as interactive user communications privileges for the second user entity outside the domain if the interactive user communications privilege exception request is approved. | 1. A method for providing for exception handling of interactive user communications privileges in a domain server governing interactive user communications privileges with entities outside a domain, comprising: monitoring a communication between a first user entity inside the domain and a second user entity outside the domain; in response to the communication, gathering insight information about the second user entity outside the domain; determining allowed interactive user communications privileges that identify one or more allowed types of interactive user communications between the first user entity and the second user entity outside the domain based on the insight information; receiving, in the domain server from the first user entity inside the domain, an interactive user communications privilege exception request comprising at least one non-allowed interactive user communications privilege for the second user entity outside the domain; sending, to a domain administrator, a permission request that identifies the at least one non-allowed interactive user communications privilege for the second user entity outside the domain: receiving, by the domain server, a message that indicates whether the interactive user communications privilege exception request is approved or declined; and storing, in the domain server, the interactive user communications privilege exception request as interactive user communications privileges for the second user entity outside the domain if the interactive user communications privilege exception request is approved. 8. The method of claim 1 , further comprising: receiving selected affiliations of the second user entity outside the domain; and storing the interactive user communications privileges for other user entities outside the domain having common affiliations with the selected affiliations. | 0.663121 |
9,030,699 | 7 | 8 | 7. A method, implemented in a computer system, of associating an electronic device with a portable scanner, comprising: receiving, at a computer system, a request to associate a portable scanner with an electronic device, the request including scanned information, the scanned information being scanned from the electronic device and identifying the electronic device; indicating, in a database in the computer system, the electronic device as an associated device of the portable scanner, based at least in part on the scanned information scanned from the electronic device; receiving, at the computer system and from the portable scanner, scanned data scanned by the portable scanner; selecting, by the computer system, based at least in part on the scanned information scanned from the electronic device, the electronic device to send the scanned data; and sending, by the computer system, the scanned data to the selected electronic device. | 7. A method, implemented in a computer system, of associating an electronic device with a portable scanner, comprising: receiving, at a computer system, a request to associate a portable scanner with an electronic device, the request including scanned information, the scanned information being scanned from the electronic device and identifying the electronic device; indicating, in a database in the computer system, the electronic device as an associated device of the portable scanner, based at least in part on the scanned information scanned from the electronic device; receiving, at the computer system and from the portable scanner, scanned data scanned by the portable scanner; selecting, by the computer system, based at least in part on the scanned information scanned from the electronic device, the electronic device to send the scanned data; and sending, by the computer system, the scanned data to the selected electronic device. 8. The method of claim 7 , wherein the electronic associated device of the portable scanner further comprises: at least one of an image and/or video rendering system, an audio rendering system, a data storage device, a kiosk, a desktop or laptop computer, or a printer. | 0.5 |
8,804,574 | 1 | 28 | 1. A method for transmitting a positioning-related message in a wireless network, said method comprising: obtaining, by a node in the wireless network, information associated with a language capability of at least one of a plurality of destinations; generating, by said node and based on said obtained language capability, positioning information for said positioning-related message, and transmitting, by said node, said positioning-related message including said positioning information toward said at least one of a plurality of destinations associated with said wireless network, the method further comprising: receiving, by said node, a request for location information of a target device, from a client; collecting, by said node, said positioning information associated with a geographical location of said target device; translating, by said node, said positioning information into a language according to said language capability; and generating, by said node, a reply to said request for location information as the positioning-related message including the translated positioning information wherein said step of generating said positioning information includes an information element in said positioning-related message which specifies a language associated with said positioning information contained in said positioning-related message. | 1. A method for transmitting a positioning-related message in a wireless network, said method comprising: obtaining, by a node in the wireless network, information associated with a language capability of at least one of a plurality of destinations; generating, by said node and based on said obtained language capability, positioning information for said positioning-related message, and transmitting, by said node, said positioning-related message including said positioning information toward said at least one of a plurality of destinations associated with said wireless network, the method further comprising: receiving, by said node, a request for location information of a target device, from a client; collecting, by said node, said positioning information associated with a geographical location of said target device; translating, by said node, said positioning information into a language according to said language capability; and generating, by said node, a reply to said request for location information as the positioning-related message including the translated positioning information wherein said step of generating said positioning information includes an information element in said positioning-related message which specifies a language associated with said positioning information contained in said positioning-related message. 28. The method of claim 1 , wherein said client is associated with a Public Safety Answer Point (PSAP). | 0.876202 |
9,502,030 | 14 | 15 | 14. The computer program product of claim 12 wherein the context data from the vehicle comprises data associated with the vehicle. | 14. The computer program product of claim 12 wherein the context data from the vehicle comprises data associated with the vehicle. 15. The computer program product of claim 14 wherein the context data from the vehicle comprises data associated with at least one of an operation of the vehicle and an interior or exterior condition associated with the vehicle. | 0.5 |
6,094,671 | 31 | 33 | 31. A media distribution system of the type useable to send e-mail from a producer station to multiple remote receiving stations, the system comprising in combination: a producer station for assembling and simultaneously transmitting to multiple receiving stations a predetermined envelope of aggregate data, the predetermined envelope of aggregate data including a plurality of media files preselected from the group consisting of one or more audio or video files and a text or graphic file, the envelope of aggregate data further including a mark-up language document having at least one tag associated with at least one of such audio or video files among the plurality of media files; a receiving station receiving the envelope, the receiving station locally storing the media files in a respective local storage medium, the receiving station including means for accessing the mark-up language document and thereby accessing a selective one of the plurality of media files via the tag. | 31. A media distribution system of the type useable to send e-mail from a producer station to multiple remote receiving stations, the system comprising in combination: a producer station for assembling and simultaneously transmitting to multiple receiving stations a predetermined envelope of aggregate data, the predetermined envelope of aggregate data including a plurality of media files preselected from the group consisting of one or more audio or video files and a text or graphic file, the envelope of aggregate data further including a mark-up language document having at least one tag associated with at least one of such audio or video files among the plurality of media files; a receiving station receiving the envelope, the receiving station locally storing the media files in a respective local storage medium, the receiving station including means for accessing the mark-up language document and thereby accessing a selective one of the plurality of media files via the tag. 33. A media distribution system as claimed in claim 31 wherein the plurality of media files comprises multiple video files and the at least one tag is associated with the at least one video file, activation of the tag resulting in play of the video file. | 0.582237 |
8,561,021 | 5 | 6 | 5. The system of claim 4 , said test result metric being determined from test coverage and said test code health metric. | 5. The system of claim 4 , said test result metric being determined from test coverage and said test code health metric. 6. The system of claim 5 , said test coverage comprising assertions for outputs from said application code. | 0.5 |
7,869,997 | 5 | 8 | 5. A method of recognizing a received phoneme, the method comprising: generating an expanded received-signal vector from a received-signal vector associated with a received phoneme; transforming via a processor the expanded received-signal vector into an orthogonal form associated with a hypersphere having a center and a radius; determining a first distance associated with the orthogonal form of the expanded received-signal vector and a second distance associated respectfully with each orthogonal form of expanded stored phoneme vectors; and recognizing the received phoneme according to a comparison of the first distance with the second distance. | 5. A method of recognizing a received phoneme, the method comprising: generating an expanded received-signal vector from a received-signal vector associated with a received phoneme; transforming via a processor the expanded received-signal vector into an orthogonal form associated with a hypersphere having a center and a radius; determining a first distance associated with the orthogonal form of the expanded received-signal vector and a second distance associated respectfully with each orthogonal form of expanded stored phoneme vectors; and recognizing the received phoneme according to a comparison of the first distance with the second distance. 8. The method of claim 5 , wherein transforming the expanded stored phoneme vector into an orthogonal form uses singular-value decomposition and wherein transforming the expanded received-signal vector into an orthogonal form using singular-value decomposition further conforms the stored-phoneme vector into the hypersphere. | 0.681373 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.