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10,073,926 | 1 | 9 | 1. A method for team analytics context graph generation and augmentation, comprising: extracting, by a processor, a set of relevant features from a received message; predicting, by the processor, a context graph corresponding to the received message being sparse based on the extracted relevant features, a context of the received message being indeterminable from the context graph in response to the context graph being sparse, wherein the context graph is a sparse context graph in response to a number of nodes and associated edges of the context graph corresponding to the received message being below a preset threshold number of nodes and associated edges; generating, by the processor, an augmented context graph in response to the context graph being predicted to be sparse, wherein the augmented context graph is generated by adding a quantity of nodes and associated edges to the sparse context graph such that the context of the received message is determinable from the augmented context graph, wherein generating the augmented context graph comprises: extracting data from the received message, the data comprising subjects and terms in the received message; automatically generating a set of queries using the subjects and terms extracted from the received message to generate a list of selected users with a similar expertise or content corresponding to the subjects and terms; generating the list of selected users based on the set of queries; determining connections between each selected user of the list of selected users, wherein determining connections comprises searching a cache comprising previously generated context graphs and sub-graphs; translating the selected users and connections between the selected users into nodes and edges of the augmented context graph; building the augmented context graph in a data structure of parent-child relationships from translating the selected users and connections into the nodes and edges of the augmented context graph, the context of the received message being determinable from the augmented context graph; and presenting, by the processor, the augmented context graph. | 1. A method for team analytics context graph generation and augmentation, comprising: extracting, by a processor, a set of relevant features from a received message; predicting, by the processor, a context graph corresponding to the received message being sparse based on the extracted relevant features, a context of the received message being indeterminable from the context graph in response to the context graph being sparse, wherein the context graph is a sparse context graph in response to a number of nodes and associated edges of the context graph corresponding to the received message being below a preset threshold number of nodes and associated edges; generating, by the processor, an augmented context graph in response to the context graph being predicted to be sparse, wherein the augmented context graph is generated by adding a quantity of nodes and associated edges to the sparse context graph such that the context of the received message is determinable from the augmented context graph, wherein generating the augmented context graph comprises: extracting data from the received message, the data comprising subjects and terms in the received message; automatically generating a set of queries using the subjects and terms extracted from the received message to generate a list of selected users with a similar expertise or content corresponding to the subjects and terms; generating the list of selected users based on the set of queries; determining connections between each selected user of the list of selected users, wherein determining connections comprises searching a cache comprising previously generated context graphs and sub-graphs; translating the selected users and connections between the selected users into nodes and edges of the augmented context graph; building the augmented context graph in a data structure of parent-child relationships from translating the selected users and connections into the nodes and edges of the augmented context graph, the context of the received message being determinable from the augmented context graph; and presenting, by the processor, the augmented context graph. 9. The method of claim 1 , further comprising caching the relevant features and associated information from an evaluation of the relevant features and caching the augmented context graph. | 0.848706 |
9,444,935 | 37 | 38 | 37. The computer-readable medium of claim 29 , wherein the method further comprises: intercepting an invoking of an external integration service by the speech application; and tracking an outgoing request from the speech application to the external integration service, and an incoming response from the external integration service to the speech application, upon invoking of the external integration service by the speech application. | 37. The computer-readable medium of claim 29 , wherein the method further comprises: intercepting an invoking of an external integration service by the speech application; and tracking an outgoing request from the speech application to the external integration service, and an incoming response from the external integration service to the speech application, upon invoking of the external integration service by the speech application. 38. The computer-readable medium of claim 37 , wherein the method further comprises: providing a programmatically generated response to at least one outgoing request from the speech application to the external integration service upon invoking of the external integration service by the speech application. | 0.5 |
8,701,000 | 12 | 14 | 12. A system for managing open documents, comprising: a carousel manager, implemented by one or more processor-based devices, configured to output, for display, a plurality of open document representations in a carousel view, wherein each of the plurality of representations includes content from a corresponding open document and a document viewport portion is displayed in the carousel view, the document viewport portion corresponding to content from the corresponding open document that would be output for display in a full view of the corresponding open document; a document viewer, implemented by one or more processor-based devices, configured to: upon receiving an indication of a first gesture associated with a selected representation of the plurality of representations, output, for display, the full view of the document viewport portion of the open document corresponding to the selected representation; and adjust content of the open document included in the document viewport portion based upon a user navigation to a next position in the open document, wherein the carousel manager is further configured to: upon receiving an indication of a second gesture, remove the full view of the document viewport portion; and output, for display, the plurality of open document representations in the carousel view, wherein the document viewport portion for the selected representation is displayed in the carousel view corresponding to the adjusted content of the corresponding open document, and a remaining portion of the content from the corresponding open document is displayed outside of the document viewport portion for the selected representation. | 12. A system for managing open documents, comprising: a carousel manager, implemented by one or more processor-based devices, configured to output, for display, a plurality of open document representations in a carousel view, wherein each of the plurality of representations includes content from a corresponding open document and a document viewport portion is displayed in the carousel view, the document viewport portion corresponding to content from the corresponding open document that would be output for display in a full view of the corresponding open document; a document viewer, implemented by one or more processor-based devices, configured to: upon receiving an indication of a first gesture associated with a selected representation of the plurality of representations, output, for display, the full view of the document viewport portion of the open document corresponding to the selected representation; and adjust content of the open document included in the document viewport portion based upon a user navigation to a next position in the open document, wherein the carousel manager is further configured to: upon receiving an indication of a second gesture, remove the full view of the document viewport portion; and output, for display, the plurality of open document representations in the carousel view, wherein the document viewport portion for the selected representation is displayed in the carousel view corresponding to the adjusted content of the corresponding open document, and a remaining portion of the content from the corresponding open document is displayed outside of the document viewport portion for the selected representation. 14. The system of claim 12 , wherein the document viewer is further configured to scroll to the next displayed scroll position of the open document. | 0.681034 |
8,327,261 | 9 | 13 | 9. A computer-implemented method for tagging content, the method comprising: receiving a first identifier of a first natural language, of a session of a computer with a user; automatically displaying in the first natural language, at least a description of a piece of content accessible to the computer; at least one processor using the first identifier to retrieve from a memory, a first set of tags comprising strings of text expressed in the first natural language; wherein each tag in the first set comprises a string of text expressed in the first natural language and an identifier of said piece of content; and automatically checking if a number of the tags in the first set is greater than zero and if not then automatically using a second identifier to retrieve and display adjacent to the description in the first natural language, a second set tags comprising strings of text expressed in a second natural language different from the first natural language. | 9. A computer-implemented method for tagging content, the method comprising: receiving a first identifier of a first natural language, of a session of a computer with a user; automatically displaying in the first natural language, at least a description of a piece of content accessible to the computer; at least one processor using the first identifier to retrieve from a memory, a first set of tags comprising strings of text expressed in the first natural language; wherein each tag in the first set comprises a string of text expressed in the first natural language and an identifier of said piece of content; and automatically checking if a number of the tags in the first set is greater than zero and if not then automatically using a second identifier to retrieve and display adjacent to the description in the first natural language, a second set tags comprising strings of text expressed in a second natural language different from the first natural language. 13. The computer-implemented method of claim 9 wherein: no tags are displayed adjacent to the description, other than tags in only one of the first set and the second set. | 0.664706 |
9,432,396 | 22 | 27 | 22. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause: extracting a set of accessed domain names from a set of events stored in a field-searchable data store; identifying a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was registered with a registrar; identifying a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; determining, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; causing display of information relating to the access count corresponding to each accessed domain name in the subset. | 22. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause: extracting a set of accessed domain names from a set of events stored in a field-searchable data store; identifying a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was registered with a registrar; identifying a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; determining, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; causing display of information relating to the access count corresponding to each accessed domain name in the subset. 27. The one or more non-transitory storage media of claim 22 , wherein the instructions which, when executed by the one or more computing devices, cause: receiving an input corresponding to a selection of a particular identified accessed domain name; presenting additional detail pertaining to events in the set of events that included the particular identified accessed domain name. | 0.76816 |
9,122,747 | 7 | 11 | 7. An index creating computer for searching pieces of document data using a search keyword, the pieces of document data having a correlation with the search keyword, the index creating computer comprising: a CPU; and memory coupled to the CPU, wherein the memory stores a program that, when executed by the CPU, performs operations, the operations comprising: receiving the search keyword from a user terminal to search an index database stored in the index creating computer; calculating as first vectors respective probabilities that each of the pieces of document data belongs to clusters, wherein each of the first vectors corresponds to one of the pieces of document data; calculating, upon an entry of a search keyword, as a second vector, respective probabilities that the search keyword belongs to the clusters; calculating an inner product of each of the first vectors and the second vector, the calculated inner product being a first score of the corresponding piece of document data regarding the search keyword, wherein the inner product represents a scalar value; and acquiring a correlation value from a classification keyword set containing facet keywords and pieces of document data with the first score that is equal to or more than a predetermined threshold by multiplying a probability that a first word conceptually matching a facet keyword from the facet keywords occurs in the pieces of document data and a probability that a second word conceptually matching the search keyword occurs in the pieces of document data to generate a second score, and dividing a probability that both the first word and the second word occur in the pieces of document data by the second score, wherein the facet keywords represent a viewpoint of information using a plurality of attribute values as metadata and that are automatically selected by the index creating computer; and displaying a search result on the user terminal in descending order based on the correlation. | 7. An index creating computer for searching pieces of document data using a search keyword, the pieces of document data having a correlation with the search keyword, the index creating computer comprising: a CPU; and memory coupled to the CPU, wherein the memory stores a program that, when executed by the CPU, performs operations, the operations comprising: receiving the search keyword from a user terminal to search an index database stored in the index creating computer; calculating as first vectors respective probabilities that each of the pieces of document data belongs to clusters, wherein each of the first vectors corresponds to one of the pieces of document data; calculating, upon an entry of a search keyword, as a second vector, respective probabilities that the search keyword belongs to the clusters; calculating an inner product of each of the first vectors and the second vector, the calculated inner product being a first score of the corresponding piece of document data regarding the search keyword, wherein the inner product represents a scalar value; and acquiring a correlation value from a classification keyword set containing facet keywords and pieces of document data with the first score that is equal to or more than a predetermined threshold by multiplying a probability that a first word conceptually matching a facet keyword from the facet keywords occurs in the pieces of document data and a probability that a second word conceptually matching the search keyword occurs in the pieces of document data to generate a second score, and dividing a probability that both the first word and the second word occur in the pieces of document data by the second score, wherein the facet keywords represent a viewpoint of information using a plurality of attribute values as metadata and that are automatically selected by the index creating computer; and displaying a search result on the user terminal in descending order based on the correlation. 11. The index creating computer according to claim 7 , wherein the correlation value is acquired according to a correlation function corr total (s,t) described below: [ E β’ β’ 5 ] corr total β‘ ( s , t ) = 1 1 + a Β· [ corr regular β‘ ( s , t ) + a ] Β· corr concept β‘ ( s , t ) n Equation β’ β’ 5 where a and n are adjustable parameters, [ E β’ β’ 1 ] corr concept β‘ ( s , t ) = P concept β‘ ( s β t ) P concept β‘ ( s ) β’ P concept β‘ ( t ) Equation β’ β’ 1 [ E β’ β’ 2 ] P concept β‘ ( s ) = 1 N β’ β d = documents β’ β© s β’ ο d βͺ Equation β’ β’ 2 [ E β’ β’ 3 ] P concept β‘ ( t ) = 1 N β’ β d = documents β’ β© t β’ ο d βͺ Equation β’ β’ 3 [ E β’ β’ 4 ] P concept β‘ ( s β t ) = 1 N β’ β d = documents β’ β© s β’ ο d βͺ β’ β’ β© t β’ ο d βͺ Equation β’ β’ 4 where s is the facet keyword, t is the search keyword, d is the document data, N is a total number of pieces of document data, Ξ΄ s,d is one in a case where the facet keyword s is included in the document data d and zero in the other cases, Ξ΄ t,d is one in a case where the search keyword t is included in the document data d and zero in the other cases, [ E β’ β’ 10 ] corr concept β‘ ( s , t ) = P concept β‘ ( s β t ) P concept β‘ ( s ) β’ P concept β‘ ( t ) Equation β’ β’ 10 [ E β’ β’ 11 ] P concept β‘ ( s ) = 1 N β’ β d = documents β’ β© s β’ ο d βͺ Equation β’ β’ 11 [ E β’ β’ 12 ] P concept β‘ ( t ) = 1 N β’ β d = documents β’ β© t β’ ο d βͺ Equation β’ β’ 12 [ E β’ β’ 13 ] P concept β‘ ( s β t ) = 1 N β’ β d = documents β’ β© s β’ ο d βͺ β’ β’ β© t β’ ο d βͺ Equation β’ β’ 13 where s is the facet keyword, t is the search keyword, d is the document data, N is a total number of pieces of document data, <s|d> is Ξ£s i Γd i (Ξ£ is a sum regarding i=1, 2, . . . , k), <t|d> is Ξ£t i Γd i (Ξ£ is a sum regarding i=1, 2, . . . , k), and k is a total number of clusters and an integer. | 0.5 |
7,552,398 | 23 | 25 | 23. The system of claim 16 , in which the processor determines the semantic zoom display of the one or more citations based on transformations of the plurality of sections. | 23. The system of claim 16 , in which the processor determines the semantic zoom display of the one or more citations based on transformations of the plurality of sections. 25. The system of claim 23 , in which the transformations are performed upon the data comprising at least one of characters, words and phrases contained in the plurality of sections. | 0.5 |
9,836,365 | 1 | 6 | 1. An automated recovery procedure for recovering a data center to a recovery site, comprising: at a Recovery Execution System (RES) server, receiving configuration data for infrastructure elements located in the data center from a Configuration Management DataBase (CMDB); receiving information representing a recovery scope for the automated recovery procedure; discovering configurable items within the data center that are within the recovery scope; receiving information, from a scheduling server, representing resources available at the recovery site at a recovery time; programmatically generating a master workflow with multiple phases, the master workflow generated from the configuration data for the configurable items that are within the recovery scope, and the master workflow also generated depending upon the resources available at the recovery site at the recovery time, and where phases of the master workflow specify for a configurable item: a task; and an automation component process; and at another executing server the master workflow including at least one automation component process and including at least one subflow for executing at least one task, to thereby configure at least one resource available at the recovery site. | 1. An automated recovery procedure for recovering a data center to a recovery site, comprising: at a Recovery Execution System (RES) server, receiving configuration data for infrastructure elements located in the data center from a Configuration Management DataBase (CMDB); receiving information representing a recovery scope for the automated recovery procedure; discovering configurable items within the data center that are within the recovery scope; receiving information, from a scheduling server, representing resources available at the recovery site at a recovery time; programmatically generating a master workflow with multiple phases, the master workflow generated from the configuration data for the configurable items that are within the recovery scope, and the master workflow also generated depending upon the resources available at the recovery site at the recovery time, and where phases of the master workflow specify for a configurable item: a task; and an automation component process; and at another executing server the master workflow including at least one automation component process and including at least one subflow for executing at least one task, to thereby configure at least one resource available at the recovery site. 6. The method of claim 1 wherein the master workflow includes at least an operating system build phase and an application install phase. | 0.834951 |
9,792,904 | 15 | 16 | 15. The system of claim 9 , the computer-readable storage medium having additional instructions stored which result in operations comprising determining when the replacement statistical model is sufficiently different than the statistical model to replace the statistical model. | 15. The system of claim 9 , the computer-readable storage medium having additional instructions stored which result in operations comprising determining when the replacement statistical model is sufficiently different than the statistical model to replace the statistical model. 16. The system of claim 15 , wherein determining when the replacement statistical model is sufficiently different than the statistical model comprises evaluating if a sufficiently large body of annotated collected data has been collected. | 0.5 |
7,849,070 | 1 | 12 | 1. A method for dynamically ranking links to items of audio content returned to a user in response to the execution of a query by a search engine, the method comprising: receiving a query to identify links to one or more items of audio content; parsing the query into one or more logical units; determining an annotation for each of the one or more logical units, wherein the annotation is related to audio content; identifying a context of search according to the annotation for each of the one or more logical units and the query to identify links; selecting a ranking heuristic according to the annotation for each of the one or more logical units, wherein Selecting the ranking heuristic comprises selecting an algorithm for ranking items of audio content available from structured sources higher than audio content available from unstructured sources; ranking a result set according to the context of search and selected ranking heuristic; and providing a set of links for navigating to a preferred provider of an item in the result set, wherein the preferred provider provides audio content and is designated by a user in a user profile. | 1. A method for dynamically ranking links to items of audio content returned to a user in response to the execution of a query by a search engine, the method comprising: receiving a query to identify links to one or more items of audio content; parsing the query into one or more logical units; determining an annotation for each of the one or more logical units, wherein the annotation is related to audio content; identifying a context of search according to the annotation for each of the one or more logical units and the query to identify links; selecting a ranking heuristic according to the annotation for each of the one or more logical units, wherein Selecting the ranking heuristic comprises selecting an algorithm for ranking items of audio content available from structured sources higher than audio content available from unstructured sources; ranking a result set according to the context of search and selected ranking heuristic; and providing a set of links for navigating to a preferred provider of an item in the result set, wherein the preferred provider provides audio content and is designated by a user in a user profile. 12. The method of claim 1 wherein selecting the ranking heuristic comprises selecting an algorithm for ranking items of audio content according to the duration of each item of audio content in a result set. | 0.572614 |
7,668,825 | 1 | 8 | 1. A query processing system for processing a query having one or more query terms using formally represented knowledge against a corpus of documents, the system comprising: a knowledge base containing a plurality of pieces of formally represented knowledge, wherein each piece of formally represented knowledge further comprises an item that has been edited or analyzed, the formally represented knowledge further comprising one or more synsets wherein each synset contains a group of terms that have a same meaning, one or more taxonomies wherein each taxonomy contains one or more synsets in a subject matter area that are organized from a synset having a general meaning to a synset having a specific meaning, one or more ontologies wherein each ontology contains one or more synsets associated with an area of interest and one or more facets wherein each facet is associated with a particular ontology and wherein a document is associated with the facet when the document contains the one or more synsets associated with the facet; and a computer system having one or more software pieces each having a plurality of lines of computer instructions wherein the computer instructions are executed by the computer system, the software pieces further comprising a query engine that expands the one or more query terms of the query using the one or more synsets and the one or more taxonomies in the knowledge base to generate an expanded query, selects an interpretation of a concept from the expanded query and the corpus of documents, selects one or more facets that match the interpretation of the expanded query based on the corpus of documents and performs a deep concept query using the interpretation of the expanded query and the selected one or more facets against the corpus of documents. | 1. A query processing system for processing a query having one or more query terms using formally represented knowledge against a corpus of documents, the system comprising: a knowledge base containing a plurality of pieces of formally represented knowledge, wherein each piece of formally represented knowledge further comprises an item that has been edited or analyzed, the formally represented knowledge further comprising one or more synsets wherein each synset contains a group of terms that have a same meaning, one or more taxonomies wherein each taxonomy contains one or more synsets in a subject matter area that are organized from a synset having a general meaning to a synset having a specific meaning, one or more ontologies wherein each ontology contains one or more synsets associated with an area of interest and one or more facets wherein each facet is associated with a particular ontology and wherein a document is associated with the facet when the document contains the one or more synsets associated with the facet; and a computer system having one or more software pieces each having a plurality of lines of computer instructions wherein the computer instructions are executed by the computer system, the software pieces further comprising a query engine that expands the one or more query terms of the query using the one or more synsets and the one or more taxonomies in the knowledge base to generate an expanded query, selects an interpretation of a concept from the expanded query and the corpus of documents, selects one or more facets that match the interpretation of the expanded query based on the corpus of documents and performs a deep concept query using the interpretation of the expanded query and the selected one or more facets against the corpus of documents. 8. The system of claim 1 , wherein the query engine further comprises a Boolean term parsing engine that parses a query containing one or more Boolean terms in the query. | 0.764543 |
8,306,509 | 15 | 19 | 15. A non-transitory computer-readable storage medium comprising instructions that, when executed by a processor, cause the processor to: receive a call for a called party at the voicemail system, the voicemail system comprising a stored language preference for the called party; prompt a calling party to leave a message; create the message; prompt the calling party to indicate a calling-party-selected language preference for the message; in response to prompting the calling party to indicate the calling-party-selected language preference for the message, receive the calling-party-selected language preference for the message; override the stored language preference for the called party with the calling-party-selected language preference; determine whether the message is in the calling-party-selected language preference; and in response to overriding the stored language preference with the calling-party-selected language preference, and if the message is not in the calling-party-selected preferred language identified by the language preference, translate the message into a preferred language of the calling-party-selected preferred language preference, thereby creating a translated message. | 15. A non-transitory computer-readable storage medium comprising instructions that, when executed by a processor, cause the processor to: receive a call for a called party at the voicemail system, the voicemail system comprising a stored language preference for the called party; prompt a calling party to leave a message; create the message; prompt the calling party to indicate a calling-party-selected language preference for the message; in response to prompting the calling party to indicate the calling-party-selected language preference for the message, receive the calling-party-selected language preference for the message; override the stored language preference for the called party with the calling-party-selected language preference; determine whether the message is in the calling-party-selected language preference; and in response to overriding the stored language preference with the calling-party-selected language preference, and if the message is not in the calling-party-selected preferred language identified by the language preference, translate the message into a preferred language of the calling-party-selected preferred language preference, thereby creating a translated message. 19. The non-transitory computer-readable storage medium claim 15 , wherein the instructions are configured to cause a processor to perform the override in response to a trigger initiated by the calling party to perform the override. | 0.5 |
8,676,574 | 1 | 14 | 1. A method for tone recognition in spoken language processing, the method comprising: with a processor module, a) determining an auditory spectrum for an input window of sound; b) extracting one or more multi-scale features from the auditory spectrum, wherein each multi-scale feature is extracted using a separate two-dimensional spectro-temporal receptive filter; c) generating one or more feature maps corresponding to the one or more multi-scale features; d) extracting an auditory gist vector from each of the one or more feature maps; e) obtaining a cumulative gist vector through augmentation of each auditory gist vector extracted from the one or more feature maps; f) determining one or more tonal characteristics corresponding to the input window of sound by mapping the cumulative gist vector to one or more tonal characteristics using a machine learning algorithm; g) identifying a sequence of phonemes in the input window of sound, wherein the sequence of phonemes matches a plurality of different lexical meanings in a tone language; h) combining the identified sequence of phonemes with the determined tonal characteristics; and i) identifying a lexical meaning in the tone language of the combination from among the plurality of different lexical meanings by determining a match between the combination and a corresponding tone and phoneme sequence combination in a speech recognition database for the tone language. | 1. A method for tone recognition in spoken language processing, the method comprising: with a processor module, a) determining an auditory spectrum for an input window of sound; b) extracting one or more multi-scale features from the auditory spectrum, wherein each multi-scale feature is extracted using a separate two-dimensional spectro-temporal receptive filter; c) generating one or more feature maps corresponding to the one or more multi-scale features; d) extracting an auditory gist vector from each of the one or more feature maps; e) obtaining a cumulative gist vector through augmentation of each auditory gist vector extracted from the one or more feature maps; f) determining one or more tonal characteristics corresponding to the input window of sound by mapping the cumulative gist vector to one or more tonal characteristics using a machine learning algorithm; g) identifying a sequence of phonemes in the input window of sound, wherein the sequence of phonemes matches a plurality of different lexical meanings in a tone language; h) combining the identified sequence of phonemes with the determined tonal characteristics; and i) identifying a lexical meaning in the tone language of the combination from among the plurality of different lexical meanings by determining a match between the combination and a corresponding tone and phoneme sequence combination in a speech recognition database for the tone language. 14. The method of claim 1 , wherein e) includes using a dimension reduction method to remove redundancies or reduce dimensions of the cumulative gist vector. | 0.743464 |
9,430,531 | 47 | 55 | 47. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in collecting the first activity information, and the no personally identifiable information of the sender is collected comprises not collecting an e-mail address of the sender; storing the first activity information at a storage server; receiving second activity information when a recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the recipient collected in collecting the second activity information; using at least one processor, attempting to identify a first node representative of the sender in a social graph; when a first node representative of the sender in a social graph is not identified and after receiving the second activity information, creating a second node to represent the sender in the social graph; and based on at least information associated with the second node in the social graph, selecting a personalized digital content for delivery to the sender. | 47. A method comprising: receiving first activity information for a sender of a first link to at least one recipient collected by a collection resource at a Web site, wherein no personally identifiable information of the sender is collected in collecting the first activity information, and the no personally identifiable information of the sender is collected comprises not collecting an e-mail address of the sender; storing the first activity information at a storage server; receiving second activity information when a recipient accesses the first link sent by the sender corresponding to the first activity information stored at the storage server, wherein no personally identifiable information of the recipient collected in collecting the second activity information; using at least one processor, attempting to identify a first node representative of the sender in a social graph; when a first node representative of the sender in a social graph is not identified and after receiving the second activity information, creating a second node to represent the sender in the social graph; and based on at least information associated with the second node in the social graph, selecting a personalized digital content for delivery to the sender. 55. The method of claim 47 wherein the plurality of activity data comprises activity data collected from an instant messaging application. | 0.86255 |
9,477,991 | 1 | 22 | 1. A system, comprising: a processor; a network interface, coupled to the processor and configured to be coupled to a network; and a memory device coupled to the processor, wherein the memory device stores instructions that are executed by the processor, wherein the system: receives, from a computing device, via the network interface and the network, a first query of at least one social network media data source indicating search data and a first geographical search region, wherein the at least one social network media data source stores user-provided data from a plurality of users provided via a plurality of computing devices associated with at least the first geographical search region; determines the first geographical search region covers a first geographical area and at least a first portion of a geographic context region intersecting the first geographical search region, wherein a first location within the geographic context region is not within the first geographical search region and wherein first social media results of the at least one social network media data source in response to the first query will not include one or more second social media results associated with one or more second locations within both the first portion of the geographic context region and the first geographical search region, at least because the one or more second locations are associated with the geographic context region and the first location is not within the first geographical search region; in response to determining the first geographical search region covers the first geographical area and the at least a first portion of the geographic context region intersecting the first geographical search region, generates at least a second query of the at least one social network media data source indicating the search data and a second geographical search region covering a second geographical area including at least a second portion of the geographic context region including the first location and the one or more second locations within the geographic context region; provides, via the network interface and the network, the at least the second query to the at least one social network media data source; receives, from the at least one social network media data source via the network interface and the network, at least one result based on the at least the second query and based on the user-provided data stored via the at least one social network media data source, wherein the at least one result includes the one or more second social media results associated with the one or more second locations within the geographic context region and the first geographical search region; and provides the at least one result to the computing device. | 1. A system, comprising: a processor; a network interface, coupled to the processor and configured to be coupled to a network; and a memory device coupled to the processor, wherein the memory device stores instructions that are executed by the processor, wherein the system: receives, from a computing device, via the network interface and the network, a first query of at least one social network media data source indicating search data and a first geographical search region, wherein the at least one social network media data source stores user-provided data from a plurality of users provided via a plurality of computing devices associated with at least the first geographical search region; determines the first geographical search region covers a first geographical area and at least a first portion of a geographic context region intersecting the first geographical search region, wherein a first location within the geographic context region is not within the first geographical search region and wherein first social media results of the at least one social network media data source in response to the first query will not include one or more second social media results associated with one or more second locations within both the first portion of the geographic context region and the first geographical search region, at least because the one or more second locations are associated with the geographic context region and the first location is not within the first geographical search region; in response to determining the first geographical search region covers the first geographical area and the at least a first portion of the geographic context region intersecting the first geographical search region, generates at least a second query of the at least one social network media data source indicating the search data and a second geographical search region covering a second geographical area including at least a second portion of the geographic context region including the first location and the one or more second locations within the geographic context region; provides, via the network interface and the network, the at least the second query to the at least one social network media data source; receives, from the at least one social network media data source via the network interface and the network, at least one result based on the at least the second query and based on the user-provided data stored via the at least one social network media data source, wherein the at least one result includes the one or more second social media results associated with the one or more second locations within the geographic context region and the first geographical search region; and provides the at least one result to the computing device. 22. The system of claim 1 , wherein a location included within the geographic context region is determined via a position device of at least one of the plurality of computing devices; and wherein the user-provided data from the plurality of users provided via the plurality of computing devices includes the location included within the geographic context region. | 0.832719 |
9,805,722 | 1 | 12 | 1. A method of interactively recognizing a spoken phrase using a database in which is stored reference terms, the reference terms being organized into categories, the method comprising: (a) forming, by an interactive speech recognition system, an initially empty path in an output memory of the interactive speech recognition system, receiving terms identified in the spoken phrase into an input memory of the interactive speech recognition system, and loading one or more reference terms of a first category from the database into a list memory of the interactive speech recognition system; (b) determining by the interactive speech recognition system when one or more of the reference terms in the list memory matches one or more terms of the spoken phrase in the input memory, and continuing with process (a) when there is no match; (c) determining by the interactive speech recognition system, that the spoken phrase has been recognized when one or more paths in the output memory uniquely identify a database entry; (d) determining by the interactive speech recognition system when the list memory has sufficient capacity to load the reference terms of a set of subsequent categories, each category in the set being determined by a respective path stored in the output memory, and when the list memory has insufficient capacity, eliminating by the interactive speech recognition system one or more paths from the output memory based on supplemental user input; (e) replacing, by the interactive speech recognition system in the output memory, each given path with a set of extended paths for disambiguating the spoken phrase, each path in the set of extended paths being formed by the interactive speech recognition system by concatenating to the given path a different reference term in the list memory that matches the given path, wherein when the given path matches no such reference terms, the set includes no extended paths and the given path is deleted from the output memory by the interactive speech recognition system; (f) loading the list memory by the interactive speech recognition system with the reference terms of the set of categories, and continuing with process (b); and (g) controlling, by the interactive speech recognition system after determining that the spoken phrase has been recognized, a system in communication with the interactive speech recognition system. | 1. A method of interactively recognizing a spoken phrase using a database in which is stored reference terms, the reference terms being organized into categories, the method comprising: (a) forming, by an interactive speech recognition system, an initially empty path in an output memory of the interactive speech recognition system, receiving terms identified in the spoken phrase into an input memory of the interactive speech recognition system, and loading one or more reference terms of a first category from the database into a list memory of the interactive speech recognition system; (b) determining by the interactive speech recognition system when one or more of the reference terms in the list memory matches one or more terms of the spoken phrase in the input memory, and continuing with process (a) when there is no match; (c) determining by the interactive speech recognition system, that the spoken phrase has been recognized when one or more paths in the output memory uniquely identify a database entry; (d) determining by the interactive speech recognition system when the list memory has sufficient capacity to load the reference terms of a set of subsequent categories, each category in the set being determined by a respective path stored in the output memory, and when the list memory has insufficient capacity, eliminating by the interactive speech recognition system one or more paths from the output memory based on supplemental user input; (e) replacing, by the interactive speech recognition system in the output memory, each given path with a set of extended paths for disambiguating the spoken phrase, each path in the set of extended paths being formed by the interactive speech recognition system by concatenating to the given path a different reference term in the list memory that matches the given path, wherein when the given path matches no such reference terms, the set includes no extended paths and the given path is deleted from the output memory by the interactive speech recognition system; (f) loading the list memory by the interactive speech recognition system with the reference terms of the set of categories, and continuing with process (b); and (g) controlling, by the interactive speech recognition system after determining that the spoken phrase has been recognized, a system in communication with the interactive speech recognition system. 12. The method of claim 1 , where a reference term in the list memory matches a term of the spoken phrase when the reference term has a phonetic similarity greater than a predetermined threshold relative to a reference term in the input memory. | 0.635821 |
8,923,502 | 1 | 2 | 1. A method, performed by an IVR system, for responding to users' queries while minimizing agent cost, the method comprising: receiving a call from a user at an IVR system; receiving a request from the user to speak with a live agent; queuing the user for a live agent; prompting the user to state a query; recording the user's speech input for the query; providing the user's query to a natural language understanding interpreter; receiving a natural language interpretation result; using the natural language interpretation result, determining if the user's query matches a query in a database that includes frequently-asked queries and corresponding response protocols; in response to the user's query matching a query in the database, providing an automated response to the user in accordance with a predetermined response protocol for the query and asking the user if the user still desires to speak with a live agent; in response to the user's query not matching a query in the database or in response to the user indicating that the user still desires to speak with a live agent, transferring the user to a live agent; in response to the user being transferred to a live agent and after the live agent provides the user with a response to the user's query, prompting the user for feedback on the live agent's response, grading the live agent's response based on the user's feedback, and storing the live agent's response in association with the grade; and selecting a new response protocol for the query based at least in part on the grades associated with live agents' responses to the query. | 1. A method, performed by an IVR system, for responding to users' queries while minimizing agent cost, the method comprising: receiving a call from a user at an IVR system; receiving a request from the user to speak with a live agent; queuing the user for a live agent; prompting the user to state a query; recording the user's speech input for the query; providing the user's query to a natural language understanding interpreter; receiving a natural language interpretation result; using the natural language interpretation result, determining if the user's query matches a query in a database that includes frequently-asked queries and corresponding response protocols; in response to the user's query matching a query in the database, providing an automated response to the user in accordance with a predetermined response protocol for the query and asking the user if the user still desires to speak with a live agent; in response to the user's query not matching a query in the database or in response to the user indicating that the user still desires to speak with a live agent, transferring the user to a live agent; in response to the user being transferred to a live agent and after the live agent provides the user with a response to the user's query, prompting the user for feedback on the live agent's response, grading the live agent's response based on the user's feedback, and storing the live agent's response in association with the grade; and selecting a new response protocol for the query based at least in part on the grades associated with live agents' responses to the query. 2. The method of claim 1 , wherein: the natural language interpretation result comprises semantic slots and corresponding values; the database of frequently-asked queries includes semantic slots and corresponding values for frequently-asked queries; and the user's query is determined to be in the database if the semantic slots and corresponding values in the interpretation result substantially match an entry in the database with a minimum confidence threshold. | 0.5 |
9,854,330 | 9 | 11 | 9. A method comprising: generating a fingerprint data using a television, wherein the fingerprint data is any one of an audio fingerprint data and a video fingerprint data; matching primary data generated from the fingerprint data with targeted data based on a relevancy factor using a relevancy-matching server; looking in a data repository for at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data using the relevancy-matching server, wherein the primary data is any one of a content identification data and a content identification history; constraining an executable environment in a security sandbox of a mobile device; executing a sandboxed application in the executable environment of the mobile device; associating the mobile device with the television based on: executing a sandbox-reachable service on the television; automatically announcing, through the television, the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device; identifying the sandbox-reachable service offered through the television based on receiving, through the discovery module, the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television; and establishing bidirectional communication between the mobile device and the television based on the sandboxed application reaching the sandbox-reachable service to render the primary data available across the sandbox-reachable service and the sandboxed application; processing an embedded object within the sandboxed application; and executing the embedded object through the sandboxed application to cause rendering of the targeted data therethrough. | 9. A method comprising: generating a fingerprint data using a television, wherein the fingerprint data is any one of an audio fingerprint data and a video fingerprint data; matching primary data generated from the fingerprint data with targeted data based on a relevancy factor using a relevancy-matching server; looking in a data repository for at least one of the targeted data, a reference to the targeted data and a metadata of the targeted data using the relevancy-matching server, wherein the primary data is any one of a content identification data and a content identification history; constraining an executable environment in a security sandbox of a mobile device; executing a sandboxed application in the executable environment of the mobile device; associating the mobile device with the television based on: executing a sandbox-reachable service on the television; automatically announcing, through the television, the sandbox-reachable service to a discovery module executing at least one of: on a pairing server external to the mobile device and as part of an extension of the security sandbox executing on the mobile device; identifying the sandbox-reachable service offered through the television based on receiving, through the discovery module, the automatic announcement to enable the sandboxed application of the mobile device reach the sandbox-reachable service by communicating an identification data of the television via the sandbox-reachable service when a shared computer network is determined to be commonly associated with the mobile device and the television; and establishing bidirectional communication between the mobile device and the television based on the sandboxed application reaching the sandbox-reachable service to render the primary data available across the sandbox-reachable service and the sandboxed application; processing an embedded object within the sandboxed application; and executing the embedded object through the sandboxed application to cause rendering of the targeted data therethrough. 11. The method of claim 9 , wherein the identification data of the television comprises at least one of a GUID, an alphanumeric name, a hardware address associated with the television, a public address associated with an automatic content identification service of the television, and a private address associated with the automatic content identification service of the television when the shared computer network is determined to be commonly associated with the mobile device and the television. | 0.5 |
8,229,905 | 34 | 36 | 34. A non-transitory computer-readable storage medium for using a first token to modify a record corresponding to a case file in a document management system, the non-transitory computer-readable storage medium storing computer program modules configured to execute on a computer processor, the computer program modules comprising: a retrieval module for receiving an image of a first token that is a physical representation of a case file on a printed medium and for retrieving an electronic version of the first token, the retrieval module coupled to the document management system, wherein the first token comprises a visual representation of the case file, the visual representation comprising: a case identifier of the case file; an action field including a data entry field for receiving markings from a user for updating the record corresponding to the case file, the markings including a plurality of boxes indicating predetermined actions, user notes to correct the record or prognoses; an index comprising a listing of a first plurality of documents associated with the case file, a first plurality of links to electronic versions of the plurality of first documents in the listing, and a plurality of textual summaries corresponding to the first plurality of documents in the listing, the index divided into a plurality of categories, each category containing a subset of documents in the listing; a plurality of thumbnail images of one or more of the first plurality of documents associated with the case file; a summary of a portion of the first plurality of documents associated with the case file and information specified by the user; and a plurality of related tokens for a plurality of related cases indicating a status of the plurality of related cases and a second plurality of links to electronic versions of a second plurality of documents corresponding to the plurality of related cases; a comparison module for comparing the first token to the electronic version of the first token to determine differences between the first token and the electronic version of the first token, the comparison module coupled to the retrieval module; and an updating module coupled to the comparison module and to the document management system for modifying the record corresponding to the case file in the document management system using output from the comparison module. | 34. A non-transitory computer-readable storage medium for using a first token to modify a record corresponding to a case file in a document management system, the non-transitory computer-readable storage medium storing computer program modules configured to execute on a computer processor, the computer program modules comprising: a retrieval module for receiving an image of a first token that is a physical representation of a case file on a printed medium and for retrieving an electronic version of the first token, the retrieval module coupled to the document management system, wherein the first token comprises a visual representation of the case file, the visual representation comprising: a case identifier of the case file; an action field including a data entry field for receiving markings from a user for updating the record corresponding to the case file, the markings including a plurality of boxes indicating predetermined actions, user notes to correct the record or prognoses; an index comprising a listing of a first plurality of documents associated with the case file, a first plurality of links to electronic versions of the plurality of first documents in the listing, and a plurality of textual summaries corresponding to the first plurality of documents in the listing, the index divided into a plurality of categories, each category containing a subset of documents in the listing; a plurality of thumbnail images of one or more of the first plurality of documents associated with the case file; a summary of a portion of the first plurality of documents associated with the case file and information specified by the user; and a plurality of related tokens for a plurality of related cases indicating a status of the plurality of related cases and a second plurality of links to electronic versions of a second plurality of documents corresponding to the plurality of related cases; a comparison module for comparing the first token to the electronic version of the first token to determine differences between the first token and the electronic version of the first token, the comparison module coupled to the retrieval module; and an updating module coupled to the comparison module and to the document management system for modifying the record corresponding to the case file in the document management system using output from the comparison module. 36. The non-transitory computer-readable storage medium of claim 34 wherein the updating module comprises an annotation module to annotate an electronic file with information pertaining to the case file, the annotation module coupled to receive input from the user and coupled to the updating module for modifying the record in the document management system. | 0.518767 |
8,401,314 | 19 | 24 | 19. A system, comprising: an input device comprising an interface, wherein the interface comprises a plurality of keys, wherein each of the plurality of keys corresponds to one or more characters, and wherein the interface is configured to receive a sequential string of character input by a user; a word prediction engine configured to compare the received sequential string of characters with a word corpus, and generate at least two candidate words, wherein each of the least two candidate words comprises a string of characters from the word corpus; a statistical engine configured to calculate a probability of erroneously inputting any given character of the received sequential string of characters through the input device, wherein the erroneous inputting of a character of the string of characters comprises any of poor spelling by the user, mis-striking a key of the plurality of keys, wherein the wrong key is entered, or mis-actuation of a key of the plurality of keys, wherein the key is not entered properly and either the character is not entered or is double entered, and generate variable error costs, wherein the variable error costs are determined by the calculated probability of erroneously inputting any given character of the string of characters; an editing distance calculator configured to calculate an editing distance for each of the at least two candidate words using the generated variable error costs, wherein the editing distance is the degree of attenuation between the candidate word and the received sequential character string; and a selector configured to select a preferred candidate from the at least two candidate words using the editing distance, wherein the preferred candidate word has the smallest editing distance of all the editing distances of the at least two candidate words. | 19. A system, comprising: an input device comprising an interface, wherein the interface comprises a plurality of keys, wherein each of the plurality of keys corresponds to one or more characters, and wherein the interface is configured to receive a sequential string of character input by a user; a word prediction engine configured to compare the received sequential string of characters with a word corpus, and generate at least two candidate words, wherein each of the least two candidate words comprises a string of characters from the word corpus; a statistical engine configured to calculate a probability of erroneously inputting any given character of the received sequential string of characters through the input device, wherein the erroneous inputting of a character of the string of characters comprises any of poor spelling by the user, mis-striking a key of the plurality of keys, wherein the wrong key is entered, or mis-actuation of a key of the plurality of keys, wherein the key is not entered properly and either the character is not entered or is double entered, and generate variable error costs, wherein the variable error costs are determined by the calculated probability of erroneously inputting any given character of the string of characters; an editing distance calculator configured to calculate an editing distance for each of the at least two candidate words using the generated variable error costs, wherein the editing distance is the degree of attenuation between the candidate word and the received sequential character string; and a selector configured to select a preferred candidate from the at least two candidate words using the editing distance, wherein the preferred candidate word has the smallest editing distance of all the editing distances of the at least two candidate words. 24. The system of claim 19 , wherein the calculation of the editing distance for each of the at least two candidate words comprises a grid comparison between each candidate word of the at least two candidate words and the received sequential string of characters. | 0.683894 |
6,088,731 | 31 | 37 | 31. In a computer system having a processor, a memory unit, an input device and an output device, a method for providing assistance to a user of an Internet site, said method comprising computer implemented steps of: establishing communication between said computer system and said Internet site; locating an intelligent assistant tag in said Internet site; providing said intelligent assistant tag to a plug-in process; said plug-in process informing an intelligent assistant process of existence of said intelligent assistant tag; said intelligent assistant process searching a local data base for authorized Internet sites; said intelligent assistant process causing said plug-in process to collect site information upon said intelligent assistant process finding said Internet site in said authorized Internet sites; and said intelligent assistant process storing said site information and carrying out instructions contained in said site information, wherein a knowledge base, skill or model of said intelligent assistant process is enhanced by said site information. | 31. In a computer system having a processor, a memory unit, an input device and an output device, a method for providing assistance to a user of an Internet site, said method comprising computer implemented steps of: establishing communication between said computer system and said Internet site; locating an intelligent assistant tag in said Internet site; providing said intelligent assistant tag to a plug-in process; said plug-in process informing an intelligent assistant process of existence of said intelligent assistant tag; said intelligent assistant process searching a local data base for authorized Internet sites; said intelligent assistant process causing said plug-in process to collect site information upon said intelligent assistant process finding said Internet site in said authorized Internet sites; and said intelligent assistant process storing said site information and carrying out instructions contained in said site information, wherein a knowledge base, skill or model of said intelligent assistant process is enhanced by said site information. 37. The method of claim 31 wherein said computer system includes an alphanumeric keyboard, and wherein a user of said computer system communicates with said intelligent assistant process via said alphanumeric keyboard. | 0.532189 |
9,263,039 | 1 | 3 | 1. A system for processing speech and non-speech communications, comprising: a terminal device that receives the speech and the non-speech communications; a transcription module that transcribes the speech and the non-speech communications to create a speech-based textual message and a non-speech-based textual message; a merging module that merges the speech-based textual message and the non-speech-based textual message to generate a query; a search module that searches the query for text combinations; a comparison module that compares the text combinations to entries in a context description grammar; a plurality of domain agents that are associated with the context description grammar; a scoring module that provides relevance scores based on results from the comparison module; a domain agent selector that selects domain agents based on results from the scoring module; and a response generating module that communicates with the selected domain agents to obtain content that is gathered by the selected domain agents and that generates a response from the content, wherein the content is arranged in a selected order based on results from the scoring module. | 1. A system for processing speech and non-speech communications, comprising: a terminal device that receives the speech and the non-speech communications; a transcription module that transcribes the speech and the non-speech communications to create a speech-based textual message and a non-speech-based textual message; a merging module that merges the speech-based textual message and the non-speech-based textual message to generate a query; a search module that searches the query for text combinations; a comparison module that compares the text combinations to entries in a context description grammar; a plurality of domain agents that are associated with the context description grammar; a scoring module that provides relevance scores based on results from the comparison module; a domain agent selector that selects domain agents based on results from the scoring module; and a response generating module that communicates with the selected domain agents to obtain content that is gathered by the selected domain agents and that generates a response from the content, wherein the content is arranged in a selected order based on results from the scoring module. 3. The system according to claim 1 , wherein the terminal device includes (i) a personal digital assistant, (ii) a cellular telephone, (iii) a portable computer, (iv) a desktop computer, or any combination of (i) to (iv). | 0.655763 |
8,447,739 | 1 | 9 | 1. A non-transitory computer-readable medium having stored thereon processor-executable instructions that when executed by a processor result in the following: providing at least one event stream from at least one data source to an event processing engine; prior to establishing a connection with any user, automatically establishing, by a processor at a query technique engine, a first continuous meta-query for the event processing engine, the first continuous meta-query providing meta-output data based on the at least one event stream, the meta-output data being collected from a time prior to establishing a connection with any user and beginning at the creation of the first continuous meta-query; subsequent to establishment of the first continuous meta-query, establishing a connection with a remote user; receiving, at the query technique engine, continuous query definition parameters for a continuous user-query from the user via a graphical user interface; retrieving, at the query technique engine, semantic layer information associated with the event processing engine; automatically creating event processing language statements by the processor at the query technique engine, the event processing language statements being created based on (i) the continuous query definition parameters from the user and (ii) the semantic layer information; arranging for the event processing language statements to be provided to the event processing engine so as to establish the continuous user-query at the event processing engine, the continuous user-query providing user-output data based on a combination of newly occurring events in the event stream and at least a portion of said meta-output data that was provided before the connection with the user was established; subsequently de-establishing the connection with the user; and halting the continuous user-query without halting the first continuous meta-query. | 1. A non-transitory computer-readable medium having stored thereon processor-executable instructions that when executed by a processor result in the following: providing at least one event stream from at least one data source to an event processing engine; prior to establishing a connection with any user, automatically establishing, by a processor at a query technique engine, a first continuous meta-query for the event processing engine, the first continuous meta-query providing meta-output data based on the at least one event stream, the meta-output data being collected from a time prior to establishing a connection with any user and beginning at the creation of the first continuous meta-query; subsequent to establishment of the first continuous meta-query, establishing a connection with a remote user; receiving, at the query technique engine, continuous query definition parameters for a continuous user-query from the user via a graphical user interface; retrieving, at the query technique engine, semantic layer information associated with the event processing engine; automatically creating event processing language statements by the processor at the query technique engine, the event processing language statements being created based on (i) the continuous query definition parameters from the user and (ii) the semantic layer information; arranging for the event processing language statements to be provided to the event processing engine so as to establish the continuous user-query at the event processing engine, the continuous user-query providing user-output data based on a combination of newly occurring events in the event stream and at least a portion of said meta-output data that was provided before the connection with the user was established; subsequently de-establishing the connection with the user; and halting the continuous user-query without halting the first continuous meta-query. 9. The computer-readable medium of claim 1 , wherein a plurality of continuous user-queries provide data based on the meta-output data. | 0.894696 |
8,365,072 | 13 | 15 | 13. The computer readable medium of claim 11 , wherein the particular set of constraints comprises a requirement that bounds for each particular primitive element in the sub-group intersect collective bounds for all primitive elements in the sub-group previous to the particular primitive element in the drawing order. | 13. The computer readable medium of claim 11 , wherein the particular set of constraints comprises a requirement that bounds for each particular primitive element in the sub-group intersect collective bounds for all primitive elements in the sub-group previous to the particular primitive element in the drawing order. 15. The computer readable medium of claim 13 , wherein the bounds for each primitive element is a smallest-area path that completely encloses the primitive element. | 0.5 |
6,061,682 | 8 | 9 | 8. The method recited in claim 6, further comprising: determining whether sets contained in the large itemsets satisfy the predefined constraints; generating a set of candidate itemsets including large itemsets which satisfy the predefined constraints; and using the set of candidate itemsets to output the association rules. | 8. The method recited in claim 6, further comprising: determining whether sets contained in the large itemsets satisfy the predefined constraints; generating a set of candidate itemsets including large itemsets which satisfy the predefined constraints; and using the set of candidate itemsets to output the association rules. 9. The method recited in claim 8, the outputting association rules including pruning non-interesting association rules. | 0.5 |
9,298,850 | 8 | 12 | 8. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising: identifying a web page of interest to form an identified page; loading the identified page a first time to form a first load, wherein the second load is based, at least in part, upon the use of a proxy; responsive to a determination that a delta has not been computed for the identified web page, loading the identified page a second time to form a second load; determining whether portions of the first load differ from portions of the second load; responsive to a determination portions of the first load differ from portions of the second load, identifying the portions that differ to form a delta; storing the delta to form a stored delta; excluding the delta from a document object model associated with the identified page to form a modified document object model; excluding the stored delta from a document object model comparison process, wherein the document object model comparison process from which the stored delta is excluded is a document object model equivalence function, wherein the excluded stored delta includes one or more page sections ignored by crawlers; and if the identified page is part of a rich Internet application, adding the identified page to a rich Internet application model. | 8. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising: identifying a web page of interest to form an identified page; loading the identified page a first time to form a first load, wherein the second load is based, at least in part, upon the use of a proxy; responsive to a determination that a delta has not been computed for the identified web page, loading the identified page a second time to form a second load; determining whether portions of the first load differ from portions of the second load; responsive to a determination portions of the first load differ from portions of the second load, identifying the portions that differ to form a delta; storing the delta to form a stored delta; excluding the delta from a document object model associated with the identified page to form a modified document object model; excluding the stored delta from a document object model comparison process, wherein the document object model comparison process from which the stored delta is excluded is a document object model equivalence function, wherein the excluded stored delta includes one or more page sections ignored by crawlers; and if the identified page is part of a rich Internet application, adding the identified page to a rich Internet application model. 12. The computer program product of claim 8 wherein the operation of excluding the stored delta from a document object model associated with the identified page to form a modified document object model further comprises: tracking a Delta(X) and excluding the Delta(X) from the document object model comparison process. | 0.651316 |
9,390,079 | 21 | 25 | 21. A computer-implemented method comprising: under direction of one or more hardware processors configured with specific software instructions, displaying, on an electronic display, a textual record including one or more nodes and one or more subnodes; receiving, from a user interacting with the textual record, a first input including a command, a node identifier, and a first subnode identifier; in response to receiving the command, the node identifier, and the first subnode identifier: identifying, based on the node identifier, a node of the textual record associated with the node identifier; identifying, based on the first subnode identifier, a first subnode of the identified node, the first subnode associated with the first subnode identifier; and determining a first portion of the textual record related to the identified first subnode; receiving, from the user, a second input including the command and a second subnode identifier; and in response to receiving the command and the second subnode identifier: identifying, based on the second subnode identifier, a second subnode of the identified node, the second subnode associated with the second subnode identifier; and determining a second portion of the textual record related to the identified second subnode. | 21. A computer-implemented method comprising: under direction of one or more hardware processors configured with specific software instructions, displaying, on an electronic display, a textual record including one or more nodes and one or more subnodes; receiving, from a user interacting with the textual record, a first input including a command, a node identifier, and a first subnode identifier; in response to receiving the command, the node identifier, and the first subnode identifier: identifying, based on the node identifier, a node of the textual record associated with the node identifier; identifying, based on the first subnode identifier, a first subnode of the identified node, the first subnode associated with the first subnode identifier; and determining a first portion of the textual record related to the identified first subnode; receiving, from the user, a second input including the command and a second subnode identifier; and in response to receiving the command and the second subnode identifier: identifying, based on the second subnode identifier, a second subnode of the identified node, the second subnode associated with the second subnode identifier; and determining a second portion of the textual record related to the identified second subnode. 25. The computer-implemented method of claim 21 further comprising: under direction of the one or more hardware processors configured with specific software instructions, receiving, from the user, a third input including the command and a third subnode identifier; and in response to receiving the command and the third subnode identifier, and determining, based on the third subnode identifier, that no third subnode of the identified node exists that is associated with the third subnode identifier: identifying, based on the third subnode identifier, a fourth subnode of a node different from the identified node, the fourth subnode associated with the third subnode identifier; and determining a third portion of the textual record related to the identified fourth subnode. | 0.5 |
9,372,895 | 14 | 18 | 14. The method of claim 1 wherein a searcher designates one or more documents describing a concept of interest, and the designated documents are used to develop at least some of the purpose-related keywords for the query using a word frequency analysis of words in the designated documents. | 14. The method of claim 1 wherein a searcher designates one or more documents describing a concept of interest, and the designated documents are used to develop at least some of the purpose-related keywords for the query using a word frequency analysis of words in the designated documents. 18. The method of claim 14 wherein the suggested keywords are identified from a previous search in which the suggested keywords were grouped with the existing purpose-related keywords. | 0.544554 |
9,298,700 | 14 | 20 | 14. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising: receiving a grammatically correct source phrase as a received source phrase comprising multiple words; identifying a derived source phrase that comprises at least a portion of the received source phrase and at least one additional word; identifying a first set of phrases that exist within a corpus of text, individual ones of the first set of phrases differing from the derived source phrase by one word; generating a second set of phrases from the first set of phrases, the second set of phrases individually including multiple words from the first set of phrases that differ from the derived source phrase; removing at least one word from a portion of phrases of the second set of phrases; generating a personalized user interface including at least the portion of the phrases and at least one rule selector associated with a corresponding rule for using the at least the portion of the phrases; and receiving a user selection of the at least the portion of the phrases and the at least one rule selector associated with the corresponding rule for using the at least the portion of the phrases. | 14. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed, cause one or more processors to perform acts comprising: receiving a grammatically correct source phrase as a received source phrase comprising multiple words; identifying a derived source phrase that comprises at least a portion of the received source phrase and at least one additional word; identifying a first set of phrases that exist within a corpus of text, individual ones of the first set of phrases differing from the derived source phrase by one word; generating a second set of phrases from the first set of phrases, the second set of phrases individually including multiple words from the first set of phrases that differ from the derived source phrase; removing at least one word from a portion of phrases of the second set of phrases; generating a personalized user interface including at least the portion of the phrases and at least one rule selector associated with a corresponding rule for using the at least the portion of the phrases; and receiving a user selection of the at least the portion of the phrases and the at least one rule selector associated with the corresponding rule for using the at least the portion of the phrases. 20. One or more non-transitory computer-readable media as recited in claim 14 , wherein at least a portion of phrases of the first set of phrases individually differ from the derived source phrase by two words. | 0.907162 |
9,293,129 | 14 | 15 | 14. A system for determining pronunciation issues, comprising: a processor and memory; an operating environment executing using the processor; text comprising sentences and a recording that corresponds to the text; a Text-To-Speech (TTS) component configured to generate synthesized speech using the text; a Speech Recognition (SR) component configured to recognize speech; and a pronunciation issue detector that is configured to perform actions comprising: receiving the synthesized speech generated by the TTS component; evaluating results received by an evaluation performed at a text level by determining a similarity of the synthesized speech to the recording; evaluating results obtained from the SR component related to different inputs to the SR component comprising the synthesized speech and the recording; evaluating results from a signal level evaluation of the text and the recording; and generating a list that includes a ranking of pronunciation issue candidates based on the evaluations. | 14. A system for determining pronunciation issues, comprising: a processor and memory; an operating environment executing using the processor; text comprising sentences and a recording that corresponds to the text; a Text-To-Speech (TTS) component configured to generate synthesized speech using the text; a Speech Recognition (SR) component configured to recognize speech; and a pronunciation issue detector that is configured to perform actions comprising: receiving the synthesized speech generated by the TTS component; evaluating results received by an evaluation performed at a text level by determining a similarity of the synthesized speech to the recording; evaluating results obtained from the SR component related to different inputs to the SR component comprising the synthesized speech and the recording; evaluating results from a signal level evaluation of the text and the recording; and generating a list that includes a ranking of pronunciation issue candidates based on the evaluations. 15. The system of claim 14 , wherein the signal level evaluation of the text comprises evaluating a similarity of the recording of phone sequences of the text using a phone sequence determined from the ITS component and an SR phone sequence of the recording. | 0.642659 |
8,429,183 | 1 | 4 | 1. A search engine server comprising: processing circuitry; memory coupled to the processing circuitry; and network circuitry, the processing circuitry, memory, and network circuitry are operable to: receive an international search string; determine the language of the international search string via correlation with a conjugate terms database; retrieve a conjugate target language term from the conjugate terms database; in response to determining that international terms support is enabled, facilitate searching of websites having international language support using the conjugate target language term; in response to determining that international terms support is disabled, facilitate searching of websites having international language support using the international search string; and deliver a search results page via the network circuitry to a web browser associated with a client device, wherein the search results page comprises links of a few search results that link to a few websites. | 1. A search engine server comprising: processing circuitry; memory coupled to the processing circuitry; and network circuitry, the processing circuitry, memory, and network circuitry are operable to: receive an international search string; determine the language of the international search string via correlation with a conjugate terms database; retrieve a conjugate target language term from the conjugate terms database; in response to determining that international terms support is enabled, facilitate searching of websites having international language support using the conjugate target language term; in response to determining that international terms support is disabled, facilitate searching of websites having international language support using the international search string; and deliver a search results page via the network circuitry to a web browser associated with a client device, wherein the search results page comprises links of a few search results that link to a few websites. 4. The search engine server of claim 1 , wherein the target language is English. | 0.882353 |
8,521,675 | 13 | 14 | 13. A computer-implemented system of integrated automatic support and assistance, comprising: a user profile knowledge base in communication with an Al inference or semantic based engine, the user profile knowledge base storing a plurality of user information; a semantic enhanced search engine in communication with the Al inference or semantic based engine, the semantic enhanced search engine disposed to accept user queries from the Al or semantic based inference engine and to restructure the user queries into semantic components; wherein, the Al inference or semantic based engine is disposed to perform a method of integrated automatic support and assistance, the method comprising: identifying a user, wherein identifying the user includes retrieving models representing a system operated by the user; receiving a query or statement from the user through the Al inference or semantic based engine, the query or statement being related to a question about or a problem with at least one component on the system; determining a set of response time expectations based upon the received query or statement; relaying the set of response time expectations to the user; receiving feedback from the user based on the relaying; determining a user satisfaction value from the feedback; storing the user satisfaction value in the user profile for subsequent queries; determining if the received query or statement is a machine translatable query or statement; restructuring machine translatable terms of the received query or statement into semantic components based upon the retrieved models; determining a set of candidate knowledge bases both internal and external to the assistance providing system related to the semantic components; submitting the machine translatable query or statement to each knowledge base of the set of candidate knowledge bases; receiving a set of responses from each knowledge base of the set of knowledge bases in response to the submitting; formatting the set of responses; submitting the formatted set of responses to the user through the Al inference or semantic based engine; determining if a response of the submitted formatted set of responses is accepted by the user; applying updated weights within the formatted set of responses; and storing the updated weights for future queries. | 13. A computer-implemented system of integrated automatic support and assistance, comprising: a user profile knowledge base in communication with an Al inference or semantic based engine, the user profile knowledge base storing a plurality of user information; a semantic enhanced search engine in communication with the Al inference or semantic based engine, the semantic enhanced search engine disposed to accept user queries from the Al or semantic based inference engine and to restructure the user queries into semantic components; wherein, the Al inference or semantic based engine is disposed to perform a method of integrated automatic support and assistance, the method comprising: identifying a user, wherein identifying the user includes retrieving models representing a system operated by the user; receiving a query or statement from the user through the Al inference or semantic based engine, the query or statement being related to a question about or a problem with at least one component on the system; determining a set of response time expectations based upon the received query or statement; relaying the set of response time expectations to the user; receiving feedback from the user based on the relaying; determining a user satisfaction value from the feedback; storing the user satisfaction value in the user profile for subsequent queries; determining if the received query or statement is a machine translatable query or statement; restructuring machine translatable terms of the received query or statement into semantic components based upon the retrieved models; determining a set of candidate knowledge bases both internal and external to the assistance providing system related to the semantic components; submitting the machine translatable query or statement to each knowledge base of the set of candidate knowledge bases; receiving a set of responses from each knowledge base of the set of knowledge bases in response to the submitting; formatting the set of responses; submitting the formatted set of responses to the user through the Al inference or semantic based engine; determining if a response of the submitted formatted set of responses is accepted by the user; applying updated weights within the formatted set of responses; and storing the updated weights for future queries. 14. The system of claim 13 , wherein identifying the user further includes retrieving a client identification from the system, querying the user profile knowledge base with the client identification to determine a set of attributes associated with the user profile, and retrieving the models based on those attributes. | 0.718584 |
9,106,759 | 3 | 4 | 3. The method of claim 2 further comprising: recording a voice annotation about the slide show; and storing the recorded voice annotation in a database. | 3. The method of claim 2 further comprising: recording a voice annotation about the slide show; and storing the recorded voice annotation in a database. 4. The method of claim 3 further comprising performing a keyword search against the database. | 0.5 |
9,208,515 | 2 | 4 | 2. The computer implemented method of claim 1 , wherein selecting the subset of the plurality of element variants includes receiving layout information associated with the plurality of element variants. | 2. The computer implemented method of claim 1 , wherein selecting the subset of the plurality of element variants includes receiving layout information associated with the plurality of element variants. 4. The computer implemented method of claim 2 , wherein the layout information includes presentation information associated with the plurality of element variants. | 0.5 |
9,130,997 | 1 | 4 | 1. A computer-implemented method comprising: maintaining, in an online system, a set of feature loops, wherein a feature loop comprises an expression capable of being processed by a computer processor to map a set of input values to an output value, the expression evaluating to a value describing one or more entities in the online system, wherein evaluating the feature loop comprises aggregating values of the expression across a plurality of user actions; receiving information describing a modification to the set of feature loops, wherein the modification to the set of feature loops is performed while the online system is executing; responsive to the set of feature loops being modified, evaluating feature loops of the set of modified feature loops for a subsequent user action; and responding to the subsequent user action based on the values of feature loops from the set of modified feature loops. | 1. A computer-implemented method comprising: maintaining, in an online system, a set of feature loops, wherein a feature loop comprises an expression capable of being processed by a computer processor to map a set of input values to an output value, the expression evaluating to a value describing one or more entities in the online system, wherein evaluating the feature loop comprises aggregating values of the expression across a plurality of user actions; receiving information describing a modification to the set of feature loops, wherein the modification to the set of feature loops is performed while the online system is executing; responsive to the set of feature loops being modified, evaluating feature loops of the set of modified feature loops for a subsequent user action; and responding to the subsequent user action based on the values of feature loops from the set of modified feature loops. 4. The computer-implemented method of claim 1 , wherein an expression associated with a feature loop is a feature expression obtained by composing a plurality of other feature expressions using operators, each of the plurality of other feature expressions representing a value associated with an entity represented in the online system. | 0.718593 |
9,110,874 | 1 | 16 | 1. A document conversion apparatus for converting a format of a structured document using a template, the document conversion apparatus comprising: a computer processor; and a memory that stores at least one computer program executed by the computer processor, the at least one computer program comprising program code that, when executed by the computer processor, implements: a first determining unit configured to determine whether a binary format is specified as an output format of the structured document in the template; a command acquiring unit configured to acquire a processing command for the structured document from the template used for converting the format of the structured document in a case where the first determining unit determines that the binary format is specified as the output format of the structured document; a second determining unit configured to, in a case where the processing command acquired by the command acquiring unit is a command for outputting a part of the structured document, determine whether an output format of the part of the structured document is specified in the template; and a writing unit configured to, in a case where the output format of the part of the structured document is specified in the template, perform binary conversion associated beforehand with the output format on the part of the structured document and write a result of the binary conversion in a file for storing output data, and in a case where the output format of the part of the structured document is not specified in the template, write the part of the structured document in the file. | 1. A document conversion apparatus for converting a format of a structured document using a template, the document conversion apparatus comprising: a computer processor; and a memory that stores at least one computer program executed by the computer processor, the at least one computer program comprising program code that, when executed by the computer processor, implements: a first determining unit configured to determine whether a binary format is specified as an output format of the structured document in the template; a command acquiring unit configured to acquire a processing command for the structured document from the template used for converting the format of the structured document in a case where the first determining unit determines that the binary format is specified as the output format of the structured document; a second determining unit configured to, in a case where the processing command acquired by the command acquiring unit is a command for outputting a part of the structured document, determine whether an output format of the part of the structured document is specified in the template; and a writing unit configured to, in a case where the output format of the part of the structured document is specified in the template, perform binary conversion associated beforehand with the output format on the part of the structured document and write a result of the binary conversion in a file for storing output data, and in a case where the output format of the part of the structured document is not specified in the template, write the part of the structured document in the file. 16. The document conversion apparatus of claim 1 , wherein the writing unit is configured to hold information of a list in which a plurality of types of output formats and binary conversion names for expressing data of the output formats in a binary format are registered, specify a binary conversion name corresponding to the output format of the part of the structured document specified in the template by referring to the information of the list, perform binary conversion having the specified binary conversion name on the part of the structured document, and write a result of the binary conversion in the file. | 0.618193 |
8,180,630 | 9 | 10 | 9. An automated dictionary system, useful in association with a personal appliance including at least one dictionary which contains entries, the automated dictionary system comprising: a retriever configured to retrieve a text message containing words, wherein the text message is received by the personal appliance; a message parser configured to parse the words of the text message; a dictionary comparer configured to compare the parsed words to the entries of the at least one dictionary, wherein the dictionary comparer is further configured to identify new words of the parsed words which are not found within the at least one dictionary; a statistical analyzer configured to generate statistical information for the parsed words; a phrase group identifier configured to identify phrases from the parsed words by identifying phrase markers, wherein the phrase markers include at least one of italicized word groups, quoted word groups, bolded word groups, capitalized word groups, word groups containing more than one new word; said phrase group identifier further configured to apply semantic rules to identify phrases from the parsed words by identifying word groups that include joining words; and a word storage moderator configured to store the new words within at least one of the at least one dictionary, wherein the storing the new words enables recall of the new words for generating a candidate word list; further comprising a profanity interrupter configured to identify profanities within the parsed words by comparing the parsed words to a profanity word list, modifying the profanities by replacing at least some of the profanities with a place marker, displaying the modified profanities to a user in a candidate list, requesting feedback from the user, receiving user feedback wherein the feedback includes selection and de-selection of the profanities, wherein de-selection of the profanities may be at least one of explicit and implicit, and if the feedback includes selection of the profanities then displaying the profanities to the user and storing the profanities, else, if the feedback includes de-selection of the profanities then removing the profanities from the candidate list. | 9. An automated dictionary system, useful in association with a personal appliance including at least one dictionary which contains entries, the automated dictionary system comprising: a retriever configured to retrieve a text message containing words, wherein the text message is received by the personal appliance; a message parser configured to parse the words of the text message; a dictionary comparer configured to compare the parsed words to the entries of the at least one dictionary, wherein the dictionary comparer is further configured to identify new words of the parsed words which are not found within the at least one dictionary; a statistical analyzer configured to generate statistical information for the parsed words; a phrase group identifier configured to identify phrases from the parsed words by identifying phrase markers, wherein the phrase markers include at least one of italicized word groups, quoted word groups, bolded word groups, capitalized word groups, word groups containing more than one new word; said phrase group identifier further configured to apply semantic rules to identify phrases from the parsed words by identifying word groups that include joining words; and a word storage moderator configured to store the new words within at least one of the at least one dictionary, wherein the storing the new words enables recall of the new words for generating a candidate word list; further comprising a profanity interrupter configured to identify profanities within the parsed words by comparing the parsed words to a profanity word list, modifying the profanities by replacing at least some of the profanities with a place marker, displaying the modified profanities to a user in a candidate list, requesting feedback from the user, receiving user feedback wherein the feedback includes selection and de-selection of the profanities, wherein de-selection of the profanities may be at least one of explicit and implicit, and if the feedback includes selection of the profanities then displaying the profanities to the user and storing the profanities, else, if the feedback includes de-selection of the profanities then removing the profanities from the candidate list. 10. The automated dictionary system of claim 9 , further comprising a linker configured to link the words of the identified phrases. | 0.62069 |
9,141,853 | 15 | 16 | 15. The method of claim 14 , wherein updating the token weight information comprises updating a token weight for each token within the example prior block or the example post block. | 15. The method of claim 14 , wherein updating the token weight information comprises updating a token weight for each token within the example prior block or the example post block. 16. The method of claim 15 , wherein training the extraction field template further comprises: updating the block weight information based on the token weight information. | 0.5 |
8,099,281 | 17 | 24 | 17. At least one machine readable memory, having stored thereon a computer program having a plurality of code sections executable by at least one machine for causing the at least one machine to perform a computer-implemented method for constructing a test for use in disambiguating a homograph during a computer-based text-to-speech event, the method comprising steps of: using at least one processor to construct a decision tree for determining a pronunciation label for the homograph in an input word string, the decision tree comprising at least first and second nodes, the first node being a parent of the second node, wherein the at least one processor is configured to construct the decision tree at least in part by: accessing a first set of training samples, each of the training samples comprising a word string that contains the homograph and a pronunciation label indicating a correct pronunciation of the homograph in the word string; applying a plurality of decision rules to the first set of training samples, each of the plurality of decision rules partitioning the first set of training samples into at least two subsets of the first set of training samples; for each one of the plurality of decision rules, computing a corresponding measure of impurity indicative of an extent to which each of the at least two subsets formed by applying the one of the plurality of decision rules contains training samples associated with different pronunciation labels, wherein the one of the plurality of decision rules, when applied to word strings in the first set of training samples, determines whether at least one selected word indicator is present in the word strings, and wherein at least one training sample in the first set of training samples is retained for computing the measure of impurity corresponding to the one of the plurality of decision rules even if the at least one selected word indicator is absent in the word string of the at least one training sample; and selecting, for the first node of the decision tree, a decision rule from the plurality of decision rules based at least in part on the measures of impurity computed for the plurality of decision rules. | 17. At least one machine readable memory, having stored thereon a computer program having a plurality of code sections executable by at least one machine for causing the at least one machine to perform a computer-implemented method for constructing a test for use in disambiguating a homograph during a computer-based text-to-speech event, the method comprising steps of: using at least one processor to construct a decision tree for determining a pronunciation label for the homograph in an input word string, the decision tree comprising at least first and second nodes, the first node being a parent of the second node, wherein the at least one processor is configured to construct the decision tree at least in part by: accessing a first set of training samples, each of the training samples comprising a word string that contains the homograph and a pronunciation label indicating a correct pronunciation of the homograph in the word string; applying a plurality of decision rules to the first set of training samples, each of the plurality of decision rules partitioning the first set of training samples into at least two subsets of the first set of training samples; for each one of the plurality of decision rules, computing a corresponding measure of impurity indicative of an extent to which each of the at least two subsets formed by applying the one of the plurality of decision rules contains training samples associated with different pronunciation labels, wherein the one of the plurality of decision rules, when applied to word strings in the first set of training samples, determines whether at least one selected word indicator is present in the word strings, and wherein at least one training sample in the first set of training samples is retained for computing the measure of impurity corresponding to the one of the plurality of decision rules even if the at least one selected word indicator is absent in the word string of the at least one training sample; and selecting, for the first node of the decision tree, a decision rule from the plurality of decision rules based at least in part on the measures of impurity computed for the plurality of decision rules. 24. The at least one machine readable memory of claim 17 , wherein the plurality of decision rules is a first plurality of decision rules and the selected decision rule is a first decision rule that partitions the first set of training samples into at least second and third sets of training samples, and wherein the at least one processor is further configured to construct the decision tree at least in part by: applying a second plurality of decision rules to the second set of training samples, each of the second plurality of decision rules partitioning the second set of training samples into at least two subsets of the second set of training samples; for each one of the second plurality of decision rules, computing a corresponding measure of impurity indicative of an extent to which each of the at least two subsets formed by applying the one of the second plurality of decision rules contains training samples associated with different pronunciation labels; and selecting, for the second node of the decision tree, a second decision rule from the second plurality of decision rules based at least in part on the measures of impurity computed for the second plurality of decision rules. | 0.5 |
9,483,519 | 18 | 19 | 18. The computer program product of claim 17 , wherein the prioritizing is performed based on user specified priorities assigned to each of the author profiles in the set of author profiles, wherein at least two of the author profiles have non-zero priorities. | 18. The computer program product of claim 17 , wherein the prioritizing is performed based on user specified priorities assigned to each of the author profiles in the set of author profiles, wherein at least two of the author profiles have non-zero priorities. 19. The computer program product of claim 18 , wherein the user specified priorities include a user specified priority to remove portions of content associated with a specific author profile in the set of author profiles, from further use in the processing operation of the NLP system. | 0.5 |
9,747,347 | 18 | 21 | 18. The system of claim 15 , wherein the system is further configured to: retrieve a user relationship map of a user; determine other users that are more than one hop away from the user in the user relationship map; retrieve content by the other users as the extended content; determine quality of the extended content; and combine more extended content than engaging content to the combined list of content if the quality of the extended content is high. | 18. The system of claim 15 , wherein the system is further configured to: retrieve a user relationship map of a user; determine other users that are more than one hop away from the user in the user relationship map; retrieve content by the other users as the extended content; determine quality of the extended content; and combine more extended content than engaging content to the combined list of content if the quality of the extended content is high. 21. The system of claim 18 , wherein the system is further configured to: combine approximately a same amount of engaging content and extended content to the combined list of content if the quality of the extended content is not high. | 0.5 |
10,013,656 | 13 | 23 | 13. A system for generating one or more prediction models for a workflow comprised of a plurality of activities, comprising: a memory; and at least one hardware device, coupled to the memory, operative to implement the following steps: extracting one or more input features from input data from a plurality of previous executions of said plurality of activities and extracting one or more output features from output data from said plurality of previous executions of said plurality of activities, wherein said plurality of activities execute in one or more computing devices; automatically learning, using at least one processing device, a plurality of prediction functions from one or more input features and one or more output features of said workflow, wherein each of said prediction functions predicts at least one of said output features of at least one of said plurality of activities of said workflow based on one or more of said input features of said at least one activity of said workflow; selecting, using said at least one processing device, one of said plurality of prediction functions for each of said plurality of activities in said workflow based on a particular goal and a succession of said plurality of activities according to a definition of said workflow to generate a selected subset of prediction functions; combining, using said at least one processing device, said selected subset of said plurality of prediction functions to generate said one or more prediction models based on the succession of said plurality of activities according to the definition of said workflow, wherein each of said one or more prediction models predicts a final output feature of said workflow based on one or more of said input features extracted from one or more initial inputs of said workflow; and selecting an instantiation of said workflow for a given input and said particular goal by evaluating a plurality of said one or more prediction models. | 13. A system for generating one or more prediction models for a workflow comprised of a plurality of activities, comprising: a memory; and at least one hardware device, coupled to the memory, operative to implement the following steps: extracting one or more input features from input data from a plurality of previous executions of said plurality of activities and extracting one or more output features from output data from said plurality of previous executions of said plurality of activities, wherein said plurality of activities execute in one or more computing devices; automatically learning, using at least one processing device, a plurality of prediction functions from one or more input features and one or more output features of said workflow, wherein each of said prediction functions predicts at least one of said output features of at least one of said plurality of activities of said workflow based on one or more of said input features of said at least one activity of said workflow; selecting, using said at least one processing device, one of said plurality of prediction functions for each of said plurality of activities in said workflow based on a particular goal and a succession of said plurality of activities according to a definition of said workflow to generate a selected subset of prediction functions; combining, using said at least one processing device, said selected subset of said plurality of prediction functions to generate said one or more prediction models based on the succession of said plurality of activities according to the definition of said workflow, wherein each of said one or more prediction models predicts a final output feature of said workflow based on one or more of said input features extracted from one or more initial inputs of said workflow; and selecting an instantiation of said workflow for a given input and said particular goal by evaluating a plurality of said one or more prediction models. 23. The system of claim 13 , wherein at least one parameter of one or more of a program and of one or more execution engines related to said workflow is unspecified, and wherein a value for said at least one unspecified parameter is selected to instantiate the workflow for said given input and said particular goal. | 0.58961 |
7,493,347 | 4 | 6 | 4. The method of claim 1 , further comprising providing the query expression with at least one condition and at least one parameter. | 4. The method of claim 1 , further comprising providing the query expression with at least one condition and at least one parameter. 6. The method of claim 4 , further comprising selecting a parameter type from the group consisting of Extended Binary Coded Decimal Interchange Code (EBCDIC), alphanumeric, character, number, decimal, and null. | 0.5 |
9,438,741 | 1 | 12 | 1. A method for assigning a spoken tag in a telecom web platform, wherein the method comprises: receiving a spoken tag from a querying user; comparing the spoken tag to a set of one or more template tags, said comparing carried out by a distinct software module executing on a hardware processor; if the spoken tag is a match to a template tag, assigning the spoken tag and updating frequency of the spoken tag in the set of one or more template tags, said assigning carried out by a distinct software module executing on a hardware processor; if the spoken tag is not a match to a template tag, searching for a nearest match, and if the nearest match is within a pre-determined proximity threshold, assigning the spoken tag and updating frequency of the spoken tag in the set of one or more template tags with user confirmation, said assigning carried out by a distinct software module executing on a hardware processor; if the spoken tag is not a match to a template tag and if the nearest match is not within the pre-determined proximity threshold, assigning the spoken tag and registering the spoken tag as a new tag, said assigning carried out by a distinct software module executing on a hardware processor; and extracting one or more user attributes from the spoken tag and assigning one or more additional tags associated with the user's location, based on background noise in the spoken tag; wherein at least one of the foregoing operations is carried out by a computer device. | 1. A method for assigning a spoken tag in a telecom web platform, wherein the method comprises: receiving a spoken tag from a querying user; comparing the spoken tag to a set of one or more template tags, said comparing carried out by a distinct software module executing on a hardware processor; if the spoken tag is a match to a template tag, assigning the spoken tag and updating frequency of the spoken tag in the set of one or more template tags, said assigning carried out by a distinct software module executing on a hardware processor; if the spoken tag is not a match to a template tag, searching for a nearest match, and if the nearest match is within a pre-determined proximity threshold, assigning the spoken tag and updating frequency of the spoken tag in the set of one or more template tags with user confirmation, said assigning carried out by a distinct software module executing on a hardware processor; if the spoken tag is not a match to a template tag and if the nearest match is not within the pre-determined proximity threshold, assigning the spoken tag and registering the spoken tag as a new tag, said assigning carried out by a distinct software module executing on a hardware processor; and extracting one or more user attributes from the spoken tag and assigning one or more additional tags associated with the user's location, based on background noise in the spoken tag; wherein at least one of the foregoing operations is carried out by a computer device. 12. The method of claim 1 , further comprising providing a system, wherein the system comprises one or more distinct software modules, each of the one or more distinct software modules being embodied on a tangible computer-readable recordable storage medium, and wherein the one or more distinct software modules comprise a template generator module, a analyzer module, a browser module, a tag retriever module and a social network analysis module executing on a hardware processor. | 0.5 |
9,501,741 | 13 | 21 | 13. An electronic device, comprising: one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: registering, by a processor, a service for use in conjunction with an active ontology by specifying at least one of: one or more active processing elements that the service can accept; and one or more active processing elements that the service cannot accept; filtering, by the active ontology, at least one request for services to the service in accordance with the one or more active processing elements specified by the service; wherein: the active ontology is configured to perform natural language processing on user input, the natural language processing performed in response to input facts relating to events collected from a user's environment, and the active ontology comprises a plurality of active processing elements configured to match specific types of facts. | 13. An electronic device, comprising: one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: registering, by a processor, a service for use in conjunction with an active ontology by specifying at least one of: one or more active processing elements that the service can accept; and one or more active processing elements that the service cannot accept; filtering, by the active ontology, at least one request for services to the service in accordance with the one or more active processing elements specified by the service; wherein: the active ontology is configured to perform natural language processing on user input, the natural language processing performed in response to input facts relating to events collected from a user's environment, and the active ontology comprises a plurality of active processing elements configured to match specific types of facts. 21. The electronic device of claim 13 , wherein the service is invoked by the automated assistant to accomplish one or more tasks. | 0.809384 |
8,630,860 | 1 | 3 | 1. A computer-implemented method for executing a voice search, the computer-implemented method comprising: receiving a spoken query; converting the spoken query into a first text query using a speech recognition process, the speech recognition process using a language model that assigns a score to respective text strings associated with the first text query, the score of each respective text string being used to compute a probability of correct conversion of the spoken query to the text query; identifying acoustic features of a voice signal corresponding to the spoken query, the identified acoustic features including at least one of pitch, frequency, or volume associated with the voice signal; classifying the spoken query into at least one voice cluster based on the identified acoustic features of the voice signal, the voice cluster having a respective language model and a respective text cluster, the text cluster including a corpus of text that has been determined to be relevant or commonly used with users having the identified acoustic features; re-assigning scores to the respective text strings based on evaluating the respective text strings with the respective language model of the at least one voice cluster; identifying a second text query based on the re-assigned scores; receiving search results from an information retrieval system based on the second text query, each respective search result having a ranking indicating a measure of importance relative to other search results; and modifying rankings of the search results based on evaluating the search results with the respective text cluster of the voice cluster. | 1. A computer-implemented method for executing a voice search, the computer-implemented method comprising: receiving a spoken query; converting the spoken query into a first text query using a speech recognition process, the speech recognition process using a language model that assigns a score to respective text strings associated with the first text query, the score of each respective text string being used to compute a probability of correct conversion of the spoken query to the text query; identifying acoustic features of a voice signal corresponding to the spoken query, the identified acoustic features including at least one of pitch, frequency, or volume associated with the voice signal; classifying the spoken query into at least one voice cluster based on the identified acoustic features of the voice signal, the voice cluster having a respective language model and a respective text cluster, the text cluster including a corpus of text that has been determined to be relevant or commonly used with users having the identified acoustic features; re-assigning scores to the respective text strings based on evaluating the respective text strings with the respective language model of the at least one voice cluster; identifying a second text query based on the re-assigned scores; receiving search results from an information retrieval system based on the second text query, each respective search result having a ranking indicating a measure of importance relative to other search results; and modifying rankings of the search results based on evaluating the search results with the respective text cluster of the voice cluster. 3. The computer-implemented method of claim 1 , further comprising: accessing utterances from a collection of utterances; automatically separating utterances into groups of utterances based on identified acoustic voice features and a predetermined measure of similarity among acoustic voice features, wherein a given group of utterances represents a set of speakers having similar acoustic voice features; and for each group of utterances, creating a statistical language model specific to a respective group of utterances. | 0.5 |
7,734,094 | 15 | 16 | 15. The computer-readable medium of claim 11 , having computer-executable instructions for causing a computer to perform the method comprising: identify the possible incorrect recognition within at least part of the initial recognition result using a classifier confidence process. | 15. The computer-readable medium of claim 11 , having computer-executable instructions for causing a computer to perform the method comprising: identify the possible incorrect recognition within at least part of the initial recognition result using a classifier confidence process. 16. The computer-readable medium of claim 15 , having computer-executable instructions for causing a computer to perform the method comprising: use the self-consistency process and the classifier confidence process to down weigh the possible incorrect recognition. | 0.5 |
8,321,277 | 1 | 7 | 1. A method for improved voice ordering from a product catalog using a product information management (PIM) component, the method comprising: receiving, from a speech recognition component, one or more words corresponding to a voice input; searching, by at least one processor, the PIM component to identify at least one matching item and/or category in the product catalog based, at least in part, on the one or more received words and at least one item attribute associated with at least one item and/or at least one category attribute associated with at least one category in the PIM component; and outputting coded results to a voice synthesis component in response to the search, wherein the coded results indicate whether the search resulted in the identification of at least one matching item and/or category in the PIM component. | 1. A method for improved voice ordering from a product catalog using a product information management (PIM) component, the method comprising: receiving, from a speech recognition component, one or more words corresponding to a voice input; searching, by at least one processor, the PIM component to identify at least one matching item and/or category in the product catalog based, at least in part, on the one or more received words and at least one item attribute associated with at least one item and/or at least one category attribute associated with at least one category in the PIM component; and outputting coded results to a voice synthesis component in response to the search, wherein the coded results indicate whether the search resulted in the identification of at least one matching item and/or category in the PIM component. 7. The method of claim 1 , wherein the coded results indicate multiple matching items were identified, wherein the method further comprises: determining if there are one or more matching categories corresponding to the matching items; instructing the voice synthesis component to generate a request for additional voice input from the user in response to determining there are no matching categories corresponding to the matching items; instructing the voice synthesis component to generate a request for subcategory and/or item attributes in response to determining that there is a single matching category corresponding to the matching items; and instructing the voice synthesis component to generate a request for confirmation of a suitable category in response to determining that there are multiple categories corresponding to the matching items. | 0.5 |
6,078,885 | 21 | 22 | 21. A system for allowing an end-user of a text-to-speech system or a speech recognition system to verbally update a phonetic dictionary, comprising: a memory device storing the phonetic dictionary; a processor in communication with said memory device, the processor configured to receive a recorded verbal pronunciation of at least one word, as spoken by the end-user, generate a phonetic transcription of the at least one word based on the verbal pronunciation, augment the phonetic transcription with syllable stress markers based on the verbal pronunciation, and enter the phonetic transcription into the dictionary. | 21. A system for allowing an end-user of a text-to-speech system or a speech recognition system to verbally update a phonetic dictionary, comprising: a memory device storing the phonetic dictionary; a processor in communication with said memory device, the processor configured to receive a recorded verbal pronunciation of at least one word, as spoken by the end-user, generate a phonetic transcription of the at least one word based on the verbal pronunciation, augment the phonetic transcription with syllable stress markers based on the verbal pronunciation, and enter the phonetic transcription into the dictionary. 22. The system of claim 21, wherein the processor is further configured to receive an orthography of the at least one word whose pronunciation is to be recorded. | 0.679283 |
7,908,559 | 2 | 3 | 2. The method of claim 1 further comprising causing display of a second search identifier that provides an indication of the second search query included in the second search input, the second search identifier being different than the first search identifier and being displayed concurrently with the second list of search results and the first search identifier. | 2. The method of claim 1 further comprising causing display of a second search identifier that provides an indication of the second search query included in the second search input, the second search identifier being different than the first search identifier and being displayed concurrently with the second list of search results and the first search identifier. 3. The method of claim 2 wherein causing display of the second search identifier that provides an indication of the second search query included in the second search input comprises causing display of the second search identifier in a list displayed in a side interface area of a browser, the side interface area being displayed concurrently with a search results interface area of the browser that includes the second list of search results, and the first search identifier being displayed with the second search identifier in the list displayed in the side interface area of the browser. | 0.89527 |
9,728,101 | 13 | 16 | 13. A system for assessing and improving a user's life skills and self-efficacy for life stage readiness, the computer system comprising: at least one storage device for storing code data in a plurality of databases including: a life skills baseline score database for storing a numeric scoring system for scoring life skill competencies, the scoring system including a baseline score for each of a plurality of preselected life skill competencies and a composite baseline score for the plurality of preselected life skill competencies for each of a plurality of preselected life stage transitions, a life skills measurement database for storing data about the user's symptoms and other evidence of the user's mental and emotional health and life skill competencies of the user, and a reverse engineering diagnoses database for storing data of a plurality of human syndromes and disorders and other evidence of a human's emotional and mental health associated with each of such syndromes and disorders; and at least one processor in communication with the at least one storage device wherein the at least one storage device has stored thereon at least one program for controlling the processor for processing the code data to: collect from the user via a user access device over a communications network and store in the life skills measurement database in communication with the processor code data about the user's symptoms and other evidence of the user's emotional and mental health and life skills; assess the user's readiness for a life stage transition based upon the collected user symptoms and other evidence wherein such assessing includes, in at least one interactive session with the user via the user access device over the communications network, measuring a plurality of life skill competencies wherein the measuring of a plurality of life skill competencies includes generating quantitative scores based upon the numeric scoring system of the user's self-image, self-management skills, risk/reward predisposition, interpersonal skills, and existence or non-existence of one or more syndromes and disorders; generate a plurality of potential differential diagnoses by comparing the user collected symptoms and other evidence of the user's mental and emotional health with the symptoms and other evidence of mental and emotional health associated with the human syndromes and disorders stored in the reverse engineering diagnosis database; rank the plurality of potential diagnoses from most likely to least likely; wherein the assessing of the user's readiness for a life stage transition includes: determining a composite score of the scores of the measured life skill competencies; and comparing the composite score to the respective baseline composite score stored in the life skills baseline score database for the life stage transition, which baseline composite score is predictive of the user's readiness or unreadiness for success in the life stage transition; upon determining that the user's measured composite score is greater than the baseline composite score, output to the user the measured composite score indicative of the user's readiness for the life stage transaction. | 13. A system for assessing and improving a user's life skills and self-efficacy for life stage readiness, the computer system comprising: at least one storage device for storing code data in a plurality of databases including: a life skills baseline score database for storing a numeric scoring system for scoring life skill competencies, the scoring system including a baseline score for each of a plurality of preselected life skill competencies and a composite baseline score for the plurality of preselected life skill competencies for each of a plurality of preselected life stage transitions, a life skills measurement database for storing data about the user's symptoms and other evidence of the user's mental and emotional health and life skill competencies of the user, and a reverse engineering diagnoses database for storing data of a plurality of human syndromes and disorders and other evidence of a human's emotional and mental health associated with each of such syndromes and disorders; and at least one processor in communication with the at least one storage device wherein the at least one storage device has stored thereon at least one program for controlling the processor for processing the code data to: collect from the user via a user access device over a communications network and store in the life skills measurement database in communication with the processor code data about the user's symptoms and other evidence of the user's emotional and mental health and life skills; assess the user's readiness for a life stage transition based upon the collected user symptoms and other evidence wherein such assessing includes, in at least one interactive session with the user via the user access device over the communications network, measuring a plurality of life skill competencies wherein the measuring of a plurality of life skill competencies includes generating quantitative scores based upon the numeric scoring system of the user's self-image, self-management skills, risk/reward predisposition, interpersonal skills, and existence or non-existence of one or more syndromes and disorders; generate a plurality of potential differential diagnoses by comparing the user collected symptoms and other evidence of the user's mental and emotional health with the symptoms and other evidence of mental and emotional health associated with the human syndromes and disorders stored in the reverse engineering diagnosis database; rank the plurality of potential diagnoses from most likely to least likely; wherein the assessing of the user's readiness for a life stage transition includes: determining a composite score of the scores of the measured life skill competencies; and comparing the composite score to the respective baseline composite score stored in the life skills baseline score database for the life stage transition, which baseline composite score is predictive of the user's readiness or unreadiness for success in the life stage transition; upon determining that the user's measured composite score is greater than the baseline composite score, output to the user the measured composite score indicative of the user's readiness for the life stage transaction. 16. The system of claim 13 , wherein ranking comprises: ranking and prioritizing the plurality of generated potential differential diagnoses by a plurality of inclusionary/inclusionary features wherein such features include the presence or absence of a traumatic event. | 0.947868 |
7,805,443 | 1 | 3 | 1. A method of configuring a database through a database configuration system, the database configuration system having a computing device, the method comprising: a) determining at least two configurations of a database system, each configuration containing one or more tables, indices, and/or views; b) sampling a first configuration and a second configuration from the at least two configurations; c) determining a representative workload containing at least one query executable against the database system; d) sampling a sample workload from at least a portion of the representative workload; e) estimating a cost of executing the sample workload based on the first configuration and the second configuration; f) determining a probability of correct selection of the first configuration and the second configuration; g) determining a probability of correct selection of the sample workload based at least in part on the probability of correct selection of the first configuration and the second configuration and a sensitivity parameter that represents an estimated difference in cost between the first configuration and the second configuration; h) updating the sample workload when the probability of correct selection of the sample workload does not exceed a target probability threshold; and i) when the probability of correct selection of the sample workload exceeds the target probability threshold, configuring the data store based on a best configuration of the first configuration and the second configuration based on the estimated cost. | 1. A method of configuring a database through a database configuration system, the database configuration system having a computing device, the method comprising: a) determining at least two configurations of a database system, each configuration containing one or more tables, indices, and/or views; b) sampling a first configuration and a second configuration from the at least two configurations; c) determining a representative workload containing at least one query executable against the database system; d) sampling a sample workload from at least a portion of the representative workload; e) estimating a cost of executing the sample workload based on the first configuration and the second configuration; f) determining a probability of correct selection of the first configuration and the second configuration; g) determining a probability of correct selection of the sample workload based at least in part on the probability of correct selection of the first configuration and the second configuration and a sensitivity parameter that represents an estimated difference in cost between the first configuration and the second configuration; h) updating the sample workload when the probability of correct selection of the sample workload does not exceed a target probability threshold; and i) when the probability of correct selection of the sample workload exceeds the target probability threshold, configuring the data store based on a best configuration of the first configuration and the second configuration based on the estimated cost. 3. The method of claim 1 , wherein estimating a cost of executing includes estimating a first cost of executing the sample workload based on the first configuration and estimating a second cost of executing for the sample workload based on the second configuration. | 0.703579 |
8,629,940 | 18 | 20 | 18. A media system comprising, comprising: a first remote control configured to transmit a first remote control communication signal that is received by a media device, where the transmitted first remote control communication signal includes a first identifier that identifies the first remote control; a second remote control configured to transmit a second remote control communication signal that is received by the media device, where the transmitted second remote control communication signal includes a second identifier that identifies the second remote control; and the media device, comprising: a transport content stream interface configured to receive a transport channel from a head end facility operated by a media provider, wherein the transport channel includes a plurality of programs multiplexed together, and wherein the plurality of multiplexed programs include a program of interest defined by at least a video portion, a native language audio portion and a foreign language audio portion, wherein the native language audio portion and the foreign language audio portion each correspond to the video portion; a remote control signal detector configured to detect the first remote control communication signal when transmitted from the first remote control and to detect the second remote control communication signal when transmitted from the second remote control; and a processor system communicatively coupled to the transport content stream interface and the remote control signal detector, and wherein the processor system is configured to: determine a native language preference based upon the first identifier in the received first remote control communication signal transmitted by the first remote control; determine a foreign language preference based upon the second identifier in the received second remote control communication signal transmitted by the second remote control; communicate the video portion and the native language audio portion to a media presentation device for presentation to a user of the remote control in response to receiving the first remote control communication signal; and communicate the video portion and the foreign language audio portion to the media presentation device for presentation to the user of the remote control in response to receiving the second remote control communication signal. | 18. A media system comprising, comprising: a first remote control configured to transmit a first remote control communication signal that is received by a media device, where the transmitted first remote control communication signal includes a first identifier that identifies the first remote control; a second remote control configured to transmit a second remote control communication signal that is received by the media device, where the transmitted second remote control communication signal includes a second identifier that identifies the second remote control; and the media device, comprising: a transport content stream interface configured to receive a transport channel from a head end facility operated by a media provider, wherein the transport channel includes a plurality of programs multiplexed together, and wherein the plurality of multiplexed programs include a program of interest defined by at least a video portion, a native language audio portion and a foreign language audio portion, wherein the native language audio portion and the foreign language audio portion each correspond to the video portion; a remote control signal detector configured to detect the first remote control communication signal when transmitted from the first remote control and to detect the second remote control communication signal when transmitted from the second remote control; and a processor system communicatively coupled to the transport content stream interface and the remote control signal detector, and wherein the processor system is configured to: determine a native language preference based upon the first identifier in the received first remote control communication signal transmitted by the first remote control; determine a foreign language preference based upon the second identifier in the received second remote control communication signal transmitted by the second remote control; communicate the video portion and the native language audio portion to a media presentation device for presentation to a user of the remote control in response to receiving the first remote control communication signal; and communicate the video portion and the foreign language audio portion to the media presentation device for presentation to the user of the remote control in response to receiving the second remote control communication signal. 20. The media system of claim 18 , further comprising: a presentation device interface communicatively coupled to the media presentation device with a display and at least one speaker, wherein a media device operation preferences database resides in a memory, and wherein the media device operation preferences database includes at least a first database identifier that corresponds to the first identifier of the first remote control, a first preference that specifies the language preference as the native language preference, a second database identifier that corresponds to the second identifier of the second remote control, a second preference that specifies the language preference as the foreign language preference. | 0.711324 |
9,804,687 | 1 | 10 | 1. A digital television comprising: a display unit configured to display a keypad including a plurality of key buttons which are assigned with different alphabet characters, respectively, and a text window; and a controller configured to: receive a first signal selecting a first key button of the plurality of key buttons, display a first alphabet character assigned with the first key button in the text window, and display a first sub key button assigned with a second alphabet character on a region adjacent to the first key button of the keypad, in response to the first signal, the first sub key button partially overlapping a second key button neighboring to the first key button, receive a second signal selecting the first sub key button, and display the second alphabet character next to the first alphabet character in the text window, and display a second sub key button assigned with a third alphabet character on the same region adjacent to the first key button of the keypad, in response to the second signal, the second sub key button partially overlapping the same second key button neighboring to the first key button, wherein the second alphabet character is predicted as a next character of the first alphabet character, and wherein the third alphabet character is predicted as a next character of the first and second alphabet characters. | 1. A digital television comprising: a display unit configured to display a keypad including a plurality of key buttons which are assigned with different alphabet characters, respectively, and a text window; and a controller configured to: receive a first signal selecting a first key button of the plurality of key buttons, display a first alphabet character assigned with the first key button in the text window, and display a first sub key button assigned with a second alphabet character on a region adjacent to the first key button of the keypad, in response to the first signal, the first sub key button partially overlapping a second key button neighboring to the first key button, receive a second signal selecting the first sub key button, and display the second alphabet character next to the first alphabet character in the text window, and display a second sub key button assigned with a third alphabet character on the same region adjacent to the first key button of the keypad, in response to the second signal, the second sub key button partially overlapping the same second key button neighboring to the first key button, wherein the second alphabet character is predicted as a next character of the first alphabet character, and wherein the third alphabet character is predicted as a next character of the first and second alphabet characters. 10. The digital television of claim 1 , wherein the controller is configured to concurrently display both the second sub key button assigned with the third alphabet character and a fourth key button assigned with the same third alphabet character. | 0.563604 |
9,652,496 | 4 | 6 | 4. The method of claim 1 , further comprising: determining that the dynamic scan operator occurs in a subtree rooted at a particular operator; and in response to determining that the dynamic scan operator occurs in a subtree rooted at the particular operator, pushing the partition selector operator to a child operator of the particular operator. | 4. The method of claim 1 , further comprising: determining that the dynamic scan operator occurs in a subtree rooted at a particular operator; and in response to determining that the dynamic scan operator occurs in a subtree rooted at the particular operator, pushing the partition selector operator to a child operator of the particular operator. 6. The method of claim 4 , wherein the particular operator is a join operator that computes pairs of first tuples of a first table and second tuples of the table that have matching values. | 0.871233 |
9,306,965 | 1 | 11 | 1. A cybersecurity system for processing events to produce scores, alerts, and mitigation actions, the system comprising: a plurality of sensors, each of the plurality of sensors being configured to: receive sensor data from a network, process the sensor data to form events, and transmit the events; a distributed analytic platform, the distributed analytic platform configured to: receive the events from the plurality of sensors, process the events to form analytic workflows and distributed analytic platform messages, each of the distributed analytic platform messages associated with at least one of an alert, an update to a first analytic model, and cyber behavioral information, each of the analytic workflows: associated with one or more logical segments, and including at least one of the first analytic model, a second analytic model, a rule, a data transformation, and a data aggregation, and transmit the analytic workflows and distributed analytic platform messages; a plurality of scoring engines, each of the plurality of scoring engines being configured to: receive the analytic workflows from the distributed analytic platform, receive the events from at least one of the plurality of sensors, process the received events using the analytic workflows to produce scoring engine messages, and transmit the scoring engine messages; and a real time analytic engine, the real time analytic engine configured to: receive the analytic workflows from the distributed analytic platform, receive analytic workflow and event processing rules, receive the scoring engine messages from the plurality of scoring engines, receive the distributed analytic platform messages from the distributed analytic platform, and process the scoring engine messages and the distributed analytic platform messages using the analytic workflows from the distributed analytic platform and the analytic workflow and event processing rules to form a threat intelligence message, wherein the threat intelligence message comprises at least one of: a broadcast message, the real time analytic engine configured to transmit the broadcast message, a mitigation message, the real time analytic engine configured to transmit the mitigation message to a control plane engine for taking a mitigation action associated with a first logical segment of the one or more logical segments when the processing by the real time analytic engine indicates the mitigation action limits the impact of anomalous activity, and a model update message, the real time analytic engine configured to transmit the model update message for updating one or more analytic workflows when the processing by the real time analytic engine indicates the model update message improves at least one of a detection rate of the anomalous activity and a reduction in a false positive rate, each of the one or more logical segments associating: at least one of the first analytic model, the second analytic model, a third analytic model, a set of analytic models, and an analytic workflow, one or more sources of inputs about activity within the logical segment, and a set of actions for mitigating an impact of the anomalous activity occurring within the logical segment. | 1. A cybersecurity system for processing events to produce scores, alerts, and mitigation actions, the system comprising: a plurality of sensors, each of the plurality of sensors being configured to: receive sensor data from a network, process the sensor data to form events, and transmit the events; a distributed analytic platform, the distributed analytic platform configured to: receive the events from the plurality of sensors, process the events to form analytic workflows and distributed analytic platform messages, each of the distributed analytic platform messages associated with at least one of an alert, an update to a first analytic model, and cyber behavioral information, each of the analytic workflows: associated with one or more logical segments, and including at least one of the first analytic model, a second analytic model, a rule, a data transformation, and a data aggregation, and transmit the analytic workflows and distributed analytic platform messages; a plurality of scoring engines, each of the plurality of scoring engines being configured to: receive the analytic workflows from the distributed analytic platform, receive the events from at least one of the plurality of sensors, process the received events using the analytic workflows to produce scoring engine messages, and transmit the scoring engine messages; and a real time analytic engine, the real time analytic engine configured to: receive the analytic workflows from the distributed analytic platform, receive analytic workflow and event processing rules, receive the scoring engine messages from the plurality of scoring engines, receive the distributed analytic platform messages from the distributed analytic platform, and process the scoring engine messages and the distributed analytic platform messages using the analytic workflows from the distributed analytic platform and the analytic workflow and event processing rules to form a threat intelligence message, wherein the threat intelligence message comprises at least one of: a broadcast message, the real time analytic engine configured to transmit the broadcast message, a mitigation message, the real time analytic engine configured to transmit the mitigation message to a control plane engine for taking a mitigation action associated with a first logical segment of the one or more logical segments when the processing by the real time analytic engine indicates the mitigation action limits the impact of anomalous activity, and a model update message, the real time analytic engine configured to transmit the model update message for updating one or more analytic workflows when the processing by the real time analytic engine indicates the model update message improves at least one of a detection rate of the anomalous activity and a reduction in a false positive rate, each of the one or more logical segments associating: at least one of the first analytic model, the second analytic model, a third analytic model, a set of analytic models, and an analytic workflow, one or more sources of inputs about activity within the logical segment, and a set of actions for mitigating an impact of the anomalous activity occurring within the logical segment. 11. The system of claim 1 , wherein the analytic workflows comprise a Model Interchange Format document, wherein the Model Interchange Format document supports: a composition of analytic models; a segmentation of analytic models; an ensemble of analytic models; a composition of analytic models with rules; a composition of analytic models with pre-processing and post-processing stages, wherein the preprocessing and post-processing stages includes data transformations and data aggregations; and the analytic workflows, each of the analytic workflows further comprising compositions of at least one of the analytic models, the rules, the data transformations, the data aggregations, the segmentations, and the ensembles. | 0.748432 |
9,208,219 | 1 | 3 | 1. A non-transitory storage medium having stored instructions which, when executed by a processor, cause the processor to perform actions with regard to a first dataset having a plurality of first dataset elements and which is operably accessible to the processor, each of the first dataset elements corresponding to a different document and each of the documents having one or more characteristics, the actions comprising: creating a n-tuple vector for each of a selected number of the first dataset element of the plurality of first dataset elements wherein each component of the n-tuple vector correlates to a characteristic of the relevant first dataset element; creating an m-tuple vector for each of two or more of the n-tuple vectors, wherein each of the m-tuple vectors includes as its components (a) the norm of its corresponding n-tuple vector, (b) the component sum of its corresponding n-tuple vector, and (c) a set of random projections of its corresponding n-tuple vector; selecting one of the dataset elements to be a target; selecting the m-tuple vector which corresponds to the target and at least one other of the m-tuple vectors as elements of a first candidate set; bisectionally performing a series of one-dimensional range searches starting with the first candidate set to create a second candidate set comprising one or more of the m-tuple vectors of the first candidate set; determining for each of the n-tuple vectors which corresponds to one of the m-tuple vectors of the second candidate set its distance from the target's n-tuple vector; and creating a second dataset comprising each of the first dataset elements which has a corresponding n-tuple vector which is within a selected distance from the target's n-tuple vector, wherein the actions further comprise selecting one of the one-dimensional searches to be based upon the norm of the target's m-tuple vector, wherein the one-dimensional search that is based upon the norm of the target's m-tuple vector includes setting a threshold related to a factor multiplied by the norm of the target's m-tuple vector, and wherein the factor is determined based upon the selected distance from the target's n-tuple vector, the norm of the target's n-tuple vector, and the maximum element in the target's n-tuple vector. | 1. A non-transitory storage medium having stored instructions which, when executed by a processor, cause the processor to perform actions with regard to a first dataset having a plurality of first dataset elements and which is operably accessible to the processor, each of the first dataset elements corresponding to a different document and each of the documents having one or more characteristics, the actions comprising: creating a n-tuple vector for each of a selected number of the first dataset element of the plurality of first dataset elements wherein each component of the n-tuple vector correlates to a characteristic of the relevant first dataset element; creating an m-tuple vector for each of two or more of the n-tuple vectors, wherein each of the m-tuple vectors includes as its components (a) the norm of its corresponding n-tuple vector, (b) the component sum of its corresponding n-tuple vector, and (c) a set of random projections of its corresponding n-tuple vector; selecting one of the dataset elements to be a target; selecting the m-tuple vector which corresponds to the target and at least one other of the m-tuple vectors as elements of a first candidate set; bisectionally performing a series of one-dimensional range searches starting with the first candidate set to create a second candidate set comprising one or more of the m-tuple vectors of the first candidate set; determining for each of the n-tuple vectors which corresponds to one of the m-tuple vectors of the second candidate set its distance from the target's n-tuple vector; and creating a second dataset comprising each of the first dataset elements which has a corresponding n-tuple vector which is within a selected distance from the target's n-tuple vector, wherein the actions further comprise selecting one of the one-dimensional searches to be based upon the norm of the target's m-tuple vector, wherein the one-dimensional search that is based upon the norm of the target's m-tuple vector includes setting a threshold related to a factor multiplied by the norm of the target's m-tuple vector, and wherein the factor is determined based upon the selected distance from the target's n-tuple vector, the norm of the target's n-tuple vector, and the maximum element in the target's n-tuple vector. 3. The non-transitory storage medium of claim 1 , wherein at least some of the documents comprise one or more English language characters and each of the n-tuple vectors comprises sixty-two components. | 0.582988 |
7,518,052 | 1 | 12 | 1. A computer-readable medium having computer-executable instructions for retrieving musical information from a database of musical themes, said computer-executable instructions comprising: inputting a musical query from a user, said query comprising a sequence of musical notes; characterizing the melody of the musical query based on a digital representation of the pitch of each note, in such a way that identical pitches within the sequence have the same digital representations, different pitches have different digital representations, and the pitch of the very first note in sequence is represented as a zero; characterizing the rhythm of the musical query based on a digital representation of the duration of each note; designating the characterized melody and rhythm of the musical query as a normalized representation of the musical query; comparing the normalized representation of the musical query to musical themes resident in the database of musical themes to identify one or more themes in the database that match the musical query, wherein each of the musical themes resident in the database comprise a sequence of musical notes characterized as a normalized representation in the same manner as the musical query; and reporting the matching musical themes found in the database to the user. | 1. A computer-readable medium having computer-executable instructions for retrieving musical information from a database of musical themes, said computer-executable instructions comprising: inputting a musical query from a user, said query comprising a sequence of musical notes; characterizing the melody of the musical query based on a digital representation of the pitch of each note, in such a way that identical pitches within the sequence have the same digital representations, different pitches have different digital representations, and the pitch of the very first note in sequence is represented as a zero; characterizing the rhythm of the musical query based on a digital representation of the duration of each note; designating the characterized melody and rhythm of the musical query as a normalized representation of the musical query; comparing the normalized representation of the musical query to musical themes resident in the database of musical themes to identify one or more themes in the database that match the musical query, wherein each of the musical themes resident in the database comprise a sequence of musical notes characterized as a normalized representation in the same manner as the musical query; and reporting the matching musical themes found in the database to the user. 12. The computer-readable medium of claim 1 , wherein each of the musical themes resident in the database further comprises the actual pitch of the first note of the musical theme and the true musical duration of the shortest note in the musical theme, and wherein the instruction for reporting the matching musical themes found in the database to the user, comprises an instruction that uses the actual pitch of the first note and the true musical duration of the shortest note of each matching musical theme for playing back the theme in the correct tempo and key directly from its normalized format, without having to access a separate file comprising a playable version of the musical theme. | 0.64577 |
5,438,180 | 1 | 6 | 1. A cooking oven having means defining an oven cavity, heating means for heating said oven cavity to defined heating temperatures and a control means for receiving user input selections and for establishing a time and temperature heating profile of said oven cavity and for controlling said heating means according to said heating profile, said control means comprising: input selection means for receiving user input selections; logic means responsive to said input means for establishing a time and temperature heating profile of said oven and for controlling said heating means according to said heating profile; and said input selection means including heating function selection means for receiving a user selection of a heating function from among a plurality of heating functions and timing function selection means for receiving user selection of at least one timing function from among a plurality of timing functions, .wherein said heating functions include a function for cooking of food in said oven cavity and a cleaning function for pyrolytic cleaning of said oven cavity, wherein said heating function selection means is substantially independent of said timing function selection means so that a user may select substantially any one of said timing functions with any one of said heating functions. | 1. A cooking oven having means defining an oven cavity, heating means for heating said oven cavity to defined heating temperatures and a control means for receiving user input selections and for establishing a time and temperature heating profile of said oven cavity and for controlling said heating means according to said heating profile, said control means comprising: input selection means for receiving user input selections; logic means responsive to said input means for establishing a time and temperature heating profile of said oven and for controlling said heating means according to said heating profile; and said input selection means including heating function selection means for receiving a user selection of a heating function from among a plurality of heating functions and timing function selection means for receiving user selection of at least one timing function from among a plurality of timing functions, .wherein said heating functions include a function for cooking of food in said oven cavity and a cleaning function for pyrolytic cleaning of said oven cavity, wherein said heating function selection means is substantially independent of said timing function selection means so that a user may select substantially any one of said timing functions with any one of said heating functions. 6. The cooking oven of claim 1 wherein said timing functions include selectable start time of the selected heating function, selectable stop time of the selected heating function and selectable time duration of the selected heating function. | 0.655714 |
7,945,581 | 52 | 53 | 52. The system of claim 46 , further comprising a query builder module operably connected to the query server and being adapted to facilitate a client in generating the query source code using the query-based language. | 52. The system of claim 46 , further comprising a query builder module operably connected to the query server and being adapted to facilitate a client in generating the query source code using the query-based language. 53. The system of claim 52 , wherein the query builder module includes a graphical user interface. | 0.708333 |
9,857,947 | 1 | 5 | 1. A computer-implemented method, comprising: generating, by a client device, a user interface display within an application context of an application; receiving, by the client device, a metadata representation that defines a layout of controls on a dialog, wherein the metadata representation comprises logic metadata identifying logic executable on the dialog; providing, from the application to the dialog, an input parameter through a dialog application programming interface (API) associated with the dialog, the input parameter orresponding to the application context; generating, by the client device, the dialog based on the metadata representation, wherein the dialog comprises the controls in accordance with the defined layout and includes dialog content and data bound to the dialog based on the input parameter provided through the dialog API; rendering, by the client device, the dialog within the application context such that the dialog overlays at least a portion of the user interface display; receiving, by the client device, a user input through the dialog rendered within the application context; generating an output parameter by executing the logic based on the user input; and providing, from the dialog to the application, the output parameter through the dialog API. | 1. A computer-implemented method, comprising: generating, by a client device, a user interface display within an application context of an application; receiving, by the client device, a metadata representation that defines a layout of controls on a dialog, wherein the metadata representation comprises logic metadata identifying logic executable on the dialog; providing, from the application to the dialog, an input parameter through a dialog application programming interface (API) associated with the dialog, the input parameter orresponding to the application context; generating, by the client device, the dialog based on the metadata representation, wherein the dialog comprises the controls in accordance with the defined layout and includes dialog content and data bound to the dialog based on the input parameter provided through the dialog API; rendering, by the client device, the dialog within the application context such that the dialog overlays at least a portion of the user interface display; receiving, by the client device, a user input through the dialog rendered within the application context; generating an output parameter by executing the logic based on the user input; and providing, from the dialog to the application, the output parameter through the dialog API. 5. The computer-implemented method of claim 1 , wherein receiving a metadata representation comprises: receiving, by the client device, the metadata representation from a computing system that is remote the client device. | 0.598182 |
8,515,986 | 12 | 14 | 12. A method for associating user queries with answers, comprising: providing a processor and a memory containing computer executable instructions; and executing, by the processor, the computer executable instructions to provide a method comprising: identifying an attribute having an attribute value for one or more corresponding entities; extracting queries from a query logfile, the extracted queries containing the identified attribute and at least one corresponding entity; generating one or more query formats by generalizing the entities in the extracted queries; receiving an input to remove a plurality of the generated query formats; forming a list of answered queries by substituting the generalized entities in the one or more query formats with the one or more entities corresponding to the identified attribute, each answered query corresponding to an answer associated with the entity and the attribute in the query; receiving a query corresponding to an answered query; and displaying the attribute value corresponding to the answered query. | 12. A method for associating user queries with answers, comprising: providing a processor and a memory containing computer executable instructions; and executing, by the processor, the computer executable instructions to provide a method comprising: identifying an attribute having an attribute value for one or more corresponding entities; extracting queries from a query logfile, the extracted queries containing the identified attribute and at least one corresponding entity; generating one or more query formats by generalizing the entities in the extracted queries; receiving an input to remove a plurality of the generated query formats; forming a list of answered queries by substituting the generalized entities in the one or more query formats with the one or more entities corresponding to the identified attribute, each answered query corresponding to an answer associated with the entity and the attribute in the query; receiving a query corresponding to an answered query; and displaying the attribute value corresponding to the answered query. 14. The method of claim 12 , further comprising matching the received query with an answered query. | 0.75 |
8,935,607 | 8 | 10 | 8. A method of displaying a webpage, comprising: receiving, by a website server from a client, a request to browse a webpage and information indicative of a screen resolution adopted by the client; selecting, by the website server, a font size, wherein the selecting of the font size comprises: comparing the screen resolution with a first resolution threshold; in the event that the screen resolution exceeds the first resolution threshold: comparing the screen resolution with a second resolution threshold; in the event that the screen resolution exceeds the second resolution threshold, selecting a first font size as the font size; and in the event that the screen resolution does not exceed the second resolution threshold, selecting the font size according to the screen resolution adopted by the client and a predetermined correlation between screen resolutions and font sizes; and in the event that the screen resolution does not exceed the first resolution threshold, selecting a second font size as the font size; generating, by the website server, the webpage in a scale corresponding to the screen resolution adopted by the client and the selected font size; and sending, by the website server, the webpage to the client. | 8. A method of displaying a webpage, comprising: receiving, by a website server from a client, a request to browse a webpage and information indicative of a screen resolution adopted by the client; selecting, by the website server, a font size, wherein the selecting of the font size comprises: comparing the screen resolution with a first resolution threshold; in the event that the screen resolution exceeds the first resolution threshold: comparing the screen resolution with a second resolution threshold; in the event that the screen resolution exceeds the second resolution threshold, selecting a first font size as the font size; and in the event that the screen resolution does not exceed the second resolution threshold, selecting the font size according to the screen resolution adopted by the client and a predetermined correlation between screen resolutions and font sizes; and in the event that the screen resolution does not exceed the first resolution threshold, selecting a second font size as the font size; generating, by the website server, the webpage in a scale corresponding to the screen resolution adopted by the client and the selected font size; and sending, by the website server, the webpage to the client. 10. The method of claim 8 , further comprising storing, by the website server, the predetermined correlation between screen resolutions and font sizes in a cascading stylesheet (CSS). | 0.646718 |
8,705,897 | 11 | 13 | 11. An apparatus for presenting a collection of digital images comprising: an electronic controller configured to retrieve a plurality of collections of digital image files, each collection consolidating digital image files into groups based on metadata before receipt of an image display request, wherein the metadata includes at least data indicative of user interaction with the digital image files in the plurality of collections subsequent to initially acquiring the digital image files, and wherein the metadata is based on a frequency of access of the digital image files by the user; the electronic controller configured to display iconic representations of the digital images files by display of the collections in a visual metaphor, wherein the visual metaphor displays the iconic representations for different collections at different sizes and positions relative to one another, and wherein the different sizes of the collections in the visual metaphor are based on the frequency of access; and the electronic controller being responsive to user input by opening a digital image file selected by a user. | 11. An apparatus for presenting a collection of digital images comprising: an electronic controller configured to retrieve a plurality of collections of digital image files, each collection consolidating digital image files into groups based on metadata before receipt of an image display request, wherein the metadata includes at least data indicative of user interaction with the digital image files in the plurality of collections subsequent to initially acquiring the digital image files, and wherein the metadata is based on a frequency of access of the digital image files by the user; the electronic controller configured to display iconic representations of the digital images files by display of the collections in a visual metaphor, wherein the visual metaphor displays the iconic representations for different collections at different sizes and positions relative to one another, and wherein the different sizes of the collections in the visual metaphor are based on the frequency of access; and the electronic controller being responsive to user input by opening a digital image file selected by a user. 13. The apparatus for presenting a collection of digital images of claim 11 wherein the electronic controller is configured to interactively display the collections of iconic representations of digital image files on a map. | 0.628333 |
8,862,573 | 12 | 13 | 12. The method of claim 11 , further including receiving a selection of a hyperlink, and generating a display of the at least one secondary document. | 12. The method of claim 11 , further including receiving a selection of a hyperlink, and generating a display of the at least one secondary document. 13. The method of claim 12 , further including determining whether the matching text function tags of reference document and the secondary document are for the same or similar word. | 0.5 |
7,739,115 | 44 | 57 | 44. A method of improving agent performance, the method comprising at least the following: identifying at least one interaction handled by at least one agent, which interaction is deficient in at least one aspect, the at least one interaction being recorded as a video recording; obtaining a voice record of at least a portion of the at least one interaction; obtaining a further voice record of at least a portion of at least a further pre-recorded interaction or a plurality of pre-recorded interactions, wherein the plurality of pre-recorded interactions are stored in a library or data store containing exemplary interactions by the at least one agent made available for future reference, in which the at least one aspect is determined by generating a score using confidence level thresholds of an at least one automatic speech recognition component such that the confidence level thresholds are assigned to each of the plurality of panels and evaluating the score against a static or a varying standard of the least one automatic speech recognition component; and transmitting data representing at least the portions of the voice record and the further pre-recorded voice record or plurality of pre-recorded interactions to the at least one agent. | 44. A method of improving agent performance, the method comprising at least the following: identifying at least one interaction handled by at least one agent, which interaction is deficient in at least one aspect, the at least one interaction being recorded as a video recording; obtaining a voice record of at least a portion of the at least one interaction; obtaining a further voice record of at least a portion of at least a further pre-recorded interaction or a plurality of pre-recorded interactions, wherein the plurality of pre-recorded interactions are stored in a library or data store containing exemplary interactions by the at least one agent made available for future reference, in which the at least one aspect is determined by generating a score using confidence level thresholds of an at least one automatic speech recognition component such that the confidence level thresholds are assigned to each of the plurality of panels and evaluating the score against a static or a varying standard of the least one automatic speech recognition component; and transmitting data representing at least the portions of the voice record and the further pre-recorded voice record or plurality of pre-recorded interactions to the at least one agent. 57. The method of claim 44 , further comprising transmitting to the at least one agent data representing at least a portion of a pre-defined script with which the at least one agent failed to comply. | 0.704748 |
8,174,559 | 9 | 18 | 9. An apparatus, comprising: a signal compressor configured to compress a video sequence to generate a compressed video data and compressed audio data and associate the compressed audio and video data with time alignment information indicative of a time of generation of the compressed audio and video data; and a transmission component configured to transmit the compressed audio and video data and the time alignment information. | 9. An apparatus, comprising: a signal compressor configured to compress a video sequence to generate a compressed video data and compressed audio data and associate the compressed audio and video data with time alignment information indicative of a time of generation of the compressed audio and video data; and a transmission component configured to transmit the compressed audio and video data and the time alignment information. 18. An apparatus as in claim 9 , wherein the compressed audio and video data are transmitted at aligned times. | 0.786822 |
7,885,916 | 10 | 12 | 10. A method for providing real-time validation of text input fields in a Web page comprising: receiving a user-entered character in a text field displayed in a Web page; immediately validating the user-entered character against a validation expression contained within a validation-enhanced text input element associated with the text field, wherein the validation expression defines a set of acceptable characters and character positions for the text field; and when the user-entered character is determined invalid, visually highlighting the user-entered character. | 10. A method for providing real-time validation of text input fields in a Web page comprising: receiving a user-entered character in a text field displayed in a Web page; immediately validating the user-entered character against a validation expression contained within a validation-enhanced text input element associated with the text field, wherein the validation expression defines a set of acceptable characters and character positions for the text field; and when the user-entered character is determined invalid, visually highlighting the user-entered character. 12. The method of claim 10 , wherein the validating step further comprises: expanding the validation expression; comparing the received user-entered character against the expanded validation expression; and determining a validity of the received user-entered character based on a result of the comparing step. | 0.5 |
9,830,563 | 18 | 19 | 18. A system for managing legal obligations for data associated with a matter, comprising: at least one processor; a derivation module executing on the at least one processor and configured to determine at least one legal obligation with respect to the matter based at least in part on utilizing an enterprise map that comprises relationships between objects that represent data in an enterprise; a workflow module executing on the at least one processor and configured to generate a workflow for performing the at least one legal obligation, the workflow providing instructions to personnel responsible for data management of one or more affected systems containing the data stored on digital storage media, the instructions being provided in a context of actions to be performed on the one or more affected systems; a conflicts module executing on the at least one processor and configured to perform a conflicts check of legal obligations across all matters to determine one or more conflicts in legal obligations for the personnel; a cross-check module executing on the at least one processor and configured to, in response to receiving a criteria that specifies at least one of: an affected system of interest and a matter of interest: determine matters associated with the criteria and perform a cross-check of correlations between legal obligations across the matters associated with the criteria to determine an overlap between a first legal obligation and a second legal obligation for the personnel for a matter in the matters associated with the criteria; and a portal module executing on the at least one processor and configured to provide the instructions to the personnel via an information portal which provides a visual interface that displays in a single location all legal obligations to be performed by the personnel including the at least one legal obligation, all workflows for the personnel including the workflow, an indication of the one or more conflicts in legal obligations for the personnel, an indication of the overlap between a first legal obligation and a second legal obligation for the personnel for the matter, and one or more retention schedules for the one or more affected systems in a single location for the personnel, wherein the indication of the overlap between the first legal obligation and a second legal obligation for the personnel for the matter includes an indication that the first legal obligation remains in effect for the personnel for the matter after removal of the second legal obligation, and wherein the information portal further provides an ability for the personnel to reroute conflicted legal obligations indicated by the information portal for review. | 18. A system for managing legal obligations for data associated with a matter, comprising: at least one processor; a derivation module executing on the at least one processor and configured to determine at least one legal obligation with respect to the matter based at least in part on utilizing an enterprise map that comprises relationships between objects that represent data in an enterprise; a workflow module executing on the at least one processor and configured to generate a workflow for performing the at least one legal obligation, the workflow providing instructions to personnel responsible for data management of one or more affected systems containing the data stored on digital storage media, the instructions being provided in a context of actions to be performed on the one or more affected systems; a conflicts module executing on the at least one processor and configured to perform a conflicts check of legal obligations across all matters to determine one or more conflicts in legal obligations for the personnel; a cross-check module executing on the at least one processor and configured to, in response to receiving a criteria that specifies at least one of: an affected system of interest and a matter of interest: determine matters associated with the criteria and perform a cross-check of correlations between legal obligations across the matters associated with the criteria to determine an overlap between a first legal obligation and a second legal obligation for the personnel for a matter in the matters associated with the criteria; and a portal module executing on the at least one processor and configured to provide the instructions to the personnel via an information portal which provides a visual interface that displays in a single location all legal obligations to be performed by the personnel including the at least one legal obligation, all workflows for the personnel including the workflow, an indication of the one or more conflicts in legal obligations for the personnel, an indication of the overlap between a first legal obligation and a second legal obligation for the personnel for the matter, and one or more retention schedules for the one or more affected systems in a single location for the personnel, wherein the indication of the overlap between the first legal obligation and a second legal obligation for the personnel for the matter includes an indication that the first legal obligation remains in effect for the personnel for the matter after removal of the second legal obligation, and wherein the information portal further provides an ability for the personnel to reroute conflicted legal obligations indicated by the information portal for review. 19. The system of claim 18 further comprising a notification module executing on the at least one processor and configured to track completion of the workflow and provide notification accordingly. | 0.5 |
4,460,975 | 38 | 40 | 38. The process of claim 24 wherein the user selects to change commands in the processor memory and wherein the second prompting stimulus indicates that a choice of the part of the format to be changed is to be made, the second prompting stimulus is presented in combination with a menu of command choices including page format, title, body, footnotes and line-totals. | 38. The process of claim 24 wherein the user selects to change commands in the processor memory and wherein the second prompting stimulus indicates that a choice of the part of the format to be changed is to be made, the second prompting stimulus is presented in combination with a menu of command choices including page format, title, body, footnotes and line-totals. 40. The process of claim 38 wherein the user selects to change the title and further comprising a third prompting stimulus indicating that a type of change to the title is to be made, the third prompting stimulus is presented in combination with a menu of command choices including modify, append, insert, delete, replace and locate. | 0.55 |
9,672,815 | 14 | 24 | 14. A computerized method of speech recognition, in an automatic speech recognition system wherein said system comprises at least a speech recognition engine, for real-time spotting of predetermined keywords in an audio stream, comprising the steps of: a) developing a keyword model for the predetermined keywords; b) dividing, by the speech recognition engine, the audio stream into a series of points in an acoustic space that spans all possible sounds created in a particular language; c) determining, by the speech recognition engine, a posterior probability that a first trajectory of each keyword model for the predetermined keywords in the acoustic space matches a second trajectory of a portion of the series of points in the acoustic space, wherein the posterior probability is determined utilizing the mathematical equation: P β‘ ( T i | x ) = P β‘ ( x | T i ) β k β’ P β‘ ( x | M k ) , wherein where P represents a probability, T i represents a model, x represents the acoustics, and M k represents monophone models over an audio space; d) comparing, by the speech recognition engine in real-time, the posterior probability to a predetermined threshold; and e) reporting a spotted keyword if the posterior probability is greater than the predetermined threshold, wherein the reporting comprises generating a report, via a microprocessor and software program, that is presented as a start and end time of the spotted keyword in the audio stream with the posterior probability that the keyword was found. | 14. A computerized method of speech recognition, in an automatic speech recognition system wherein said system comprises at least a speech recognition engine, for real-time spotting of predetermined keywords in an audio stream, comprising the steps of: a) developing a keyword model for the predetermined keywords; b) dividing, by the speech recognition engine, the audio stream into a series of points in an acoustic space that spans all possible sounds created in a particular language; c) determining, by the speech recognition engine, a posterior probability that a first trajectory of each keyword model for the predetermined keywords in the acoustic space matches a second trajectory of a portion of the series of points in the acoustic space, wherein the posterior probability is determined utilizing the mathematical equation: P β‘ ( T i | x ) = P β‘ ( x | T i ) β k β’ P β‘ ( x | M k ) , wherein where P represents a probability, T i represents a model, x represents the acoustics, and M k represents monophone models over an audio space; d) comparing, by the speech recognition engine in real-time, the posterior probability to a predetermined threshold; and e) reporting a spotted keyword if the posterior probability is greater than the predetermined threshold, wherein the reporting comprises generating a report, via a microprocessor and software program, that is presented as a start and end time of the spotted keyword in the audio stream with the posterior probability that the keyword was found. 24. The method of claim 14 , wherein step (a) comprises: a.1) creating a pronunciation dictionary that defines a sequence of phonemes for each of the predetermined keywords; a.2) creating an acoustic model that statistically models a relation between textual properties of the phonemes for each of the predetermined keywords and spoken properties of the phonemes for each of the predetermined keywords; and a.3) concatenating acoustic models for the sequence of phonemes for each of the predetermined keywords. | 0.5 |
7,840,546 | 51 | 55 | 51. A system for optimizing data queries for related records in a reliable fashion, having a first computing device communicatively coupled with a second computing device, and communicatively coupled to a first database that stores real-world entity data, having said second computing device communicatively coupled with said first computing device, and communicatively coupled to a second database that stores real-world entity data, a first end-user interface communicatively coupled to said first database, and a second end-user interface communicatively coupled to said second database, comprising: a hierarchical system of Consolidation Strings for said first database, wherein each Consolidation String in said hierarchical system represents one or more key pieces of information relating to a real-world entity stored in said first database, wherein the information represented in each Consolidation String is in a character format, wherein the hierarchical ranking of Consolidation String priorities are used to optimize database queries to find matching records for at least one entity of interest with substantial certainty, and wherein Inter-Node Consolidation is set up for said first database, acting as a first data-source node in the overall system, by periodically communicating its Consolidation Strings to a second data-source node; a hierarchical system of Consolidation Strings for said second database, wherein each Consolidation String in said hierarchical system represents one or more key pieces of information relating to a real-world entity stored in said second database, wherein the information represented in each Consolidation String is in a character format, wherein the hierarchical ranking of Consolidation String priorities are used to optimize database queries to find matching records for at least one entity of interest with substantial certainty, and wherein Inter-Node Consolidation is set up for said second database, acting as a second data-source node in the overall system, by periodically communicating its Consolidation Strings to said first data-source node; the capability of said first end-user interface to allow a first end-user to query said first data-source node, which in turn queries any associated Consolidated Strings associated with the query for the entity to identify related records contained in said second data-source node, wherein said first data-source node communicates consolidation information to said second data-source node, wherein said consolidation information is applied against a consolidation algorithm in said second data-source node, and wherein said consolidation algorithm looks for a pair of entity records with Consolidation Strings on the same priority level that are character-wise identical, and when such an entity match is found, said matching entity records are consolidated from an end-user's point of view; and the capability of said second end-user interface to allow a second end-user to query said second data-source node, which in turn queries any associated Consolidated Strings associated with the query for the entity to identify related records contained in said first data-source node, wherein said second data-source node communicates consolidation information to said first data-source node, wherein said consolidation information is applied against a consolidation algorithm in said first data-source node, and wherein said consolidation algorithm looks for a pair of entity records with Consolidation Strings on the same priority level that are character-wise identical, and when such an entity match is found, said matching entity records are consolidated from an end-user's point of view. | 51. A system for optimizing data queries for related records in a reliable fashion, having a first computing device communicatively coupled with a second computing device, and communicatively coupled to a first database that stores real-world entity data, having said second computing device communicatively coupled with said first computing device, and communicatively coupled to a second database that stores real-world entity data, a first end-user interface communicatively coupled to said first database, and a second end-user interface communicatively coupled to said second database, comprising: a hierarchical system of Consolidation Strings for said first database, wherein each Consolidation String in said hierarchical system represents one or more key pieces of information relating to a real-world entity stored in said first database, wherein the information represented in each Consolidation String is in a character format, wherein the hierarchical ranking of Consolidation String priorities are used to optimize database queries to find matching records for at least one entity of interest with substantial certainty, and wherein Inter-Node Consolidation is set up for said first database, acting as a first data-source node in the overall system, by periodically communicating its Consolidation Strings to a second data-source node; a hierarchical system of Consolidation Strings for said second database, wherein each Consolidation String in said hierarchical system represents one or more key pieces of information relating to a real-world entity stored in said second database, wherein the information represented in each Consolidation String is in a character format, wherein the hierarchical ranking of Consolidation String priorities are used to optimize database queries to find matching records for at least one entity of interest with substantial certainty, and wherein Inter-Node Consolidation is set up for said second database, acting as a second data-source node in the overall system, by periodically communicating its Consolidation Strings to said first data-source node; the capability of said first end-user interface to allow a first end-user to query said first data-source node, which in turn queries any associated Consolidated Strings associated with the query for the entity to identify related records contained in said second data-source node, wherein said first data-source node communicates consolidation information to said second data-source node, wherein said consolidation information is applied against a consolidation algorithm in said second data-source node, and wherein said consolidation algorithm looks for a pair of entity records with Consolidation Strings on the same priority level that are character-wise identical, and when such an entity match is found, said matching entity records are consolidated from an end-user's point of view; and the capability of said second end-user interface to allow a second end-user to query said second data-source node, which in turn queries any associated Consolidated Strings associated with the query for the entity to identify related records contained in said first data-source node, wherein said second data-source node communicates consolidation information to said first data-source node, wherein said consolidation information is applied against a consolidation algorithm in said first data-source node, and wherein said consolidation algorithm looks for a pair of entity records with Consolidation Strings on the same priority level that are character-wise identical, and when such an entity match is found, said matching entity records are consolidated from an end-user's point of view. 55. The system for optimizing data queries in claim 51 , wherein said system is configured for use in an application selected from the group consisting of law-enforcement, organizations, real estate, locations, firearms, and vehicles. | 0.758264 |
8,775,932 | 13 | 15 | 13. A color management system comprising: a non-transitory computer readable memory which stores a guided natural language interface, the guided natural language interface comprising a set of issue description templates, each of the issue description templates being configured for guiding a user in formulating a problem statement, the user-formulated problem statement characterizing, in natural language, a perceived problem related to color identified in an input document and color of the input document when rendered on an associated rendering device, and a set of at least two problem detectors communicatively linked to the interface; and a set of at least two problem correctors communicatively linked to the interface; the guided natural language interface further comprising a natural language rendering engine, executed by a processor, which is configured for receiving information input by at least one of the user and at least one of the problem detectors, and which instantiates one of the issue description templates in response to receiving the information input by the at least one of the user and the at least one problem detector, the natural language rendering engine configured for presenting the problem statement and accepting user input to refine the problem statement in accordance with options provided from the instantiated template, and communicating information based on the refined problem statement to at least one of the problem correctors; at least one of the problem detectors being configured for automatically identifying color-related problem when there is an expected difference in color between the input document and color of the input document when it is rendered using characteristics of an associated rendering device, to provide input to the guided natural language interface when a detector detects the color-related problem for the input document, the detector input specifying one of the set of issue description templates or being used for partially filling in one of the issue description templates based on the identified color-related problem; and each of the problem correctors being configured for correcting an expected problem related to color when the input document is rendered on the associated rendering device, based on the communicated information. | 13. A color management system comprising: a non-transitory computer readable memory which stores a guided natural language interface, the guided natural language interface comprising a set of issue description templates, each of the issue description templates being configured for guiding a user in formulating a problem statement, the user-formulated problem statement characterizing, in natural language, a perceived problem related to color identified in an input document and color of the input document when rendered on an associated rendering device, and a set of at least two problem detectors communicatively linked to the interface; and a set of at least two problem correctors communicatively linked to the interface; the guided natural language interface further comprising a natural language rendering engine, executed by a processor, which is configured for receiving information input by at least one of the user and at least one of the problem detectors, and which instantiates one of the issue description templates in response to receiving the information input by the at least one of the user and the at least one problem detector, the natural language rendering engine configured for presenting the problem statement and accepting user input to refine the problem statement in accordance with options provided from the instantiated template, and communicating information based on the refined problem statement to at least one of the problem correctors; at least one of the problem detectors being configured for automatically identifying color-related problem when there is an expected difference in color between the input document and color of the input document when it is rendered using characteristics of an associated rendering device, to provide input to the guided natural language interface when a detector detects the color-related problem for the input document, the detector input specifying one of the set of issue description templates or being used for partially filling in one of the issue description templates based on the identified color-related problem; and each of the problem correctors being configured for correcting an expected problem related to color when the input document is rendered on the associated rendering device, based on the communicated information. 15. The system of claim 13 , wherein the detectors include at least one of the group consisting of: a detector which automatically detects a mismatch in the rendering of a group of image objects which are of similar color in the image; a detector for automatically detecting an out of gamut color of an image object; a detector which automatically detects when a color profile is missing for an object; and a detector which automatically detects a difference between spot color definitions used for the image and corresponding spot color definitions used by a selected rendering device. | 0.5 |
10,068,132 | 1 | 7 | 1. A system comprising: a memory that stores instructions; and one or more processors configured by the instructions to perform operations comprising: accessing an image comprising a depiction of a page region; determining portions of the image depicting text within the page region; identifying a line segment depicted in the image, the line segment having a first part within one or more of the portions of the image depicting text and a second part outside of the portions of the image depicting text; identifying a color of the line segment, based on the second part of the line segment depicted in the image outside of the portions of the image depicting text; determining a difference value between the color of the line segment and a color of each element of the portions of the image depicting text; and identifying the text by performing optical character recognition on the portions of the image depicting text while ignoring elements within the portions of the image depicting text that have the color of the line segment. | 1. A system comprising: a memory that stores instructions; and one or more processors configured by the instructions to perform operations comprising: accessing an image comprising a depiction of a page region; determining portions of the image depicting text within the page region; identifying a line segment depicted in the image, the line segment having a first part within one or more of the portions of the image depicting text and a second part outside of the portions of the image depicting text; identifying a color of the line segment, based on the second part of the line segment depicted in the image outside of the portions of the image depicting text; determining a difference value between the color of the line segment and a color of each element of the portions of the image depicting text; and identifying the text by performing optical character recognition on the portions of the image depicting text while ignoring elements within the portions of the image depicting text that have the color of the line segment. 7. The system of claim 1 , wherein the determining of the portions of the image depicting text comprises: iteratively superimposing a grid over the image, parameters of the grid being different for each iteration; in each iteration, determining a degree of overlap between the grid and foreground items depicted in the image; and selecting the parameters of the grid corresponding to a lowest degree of overlap among the iterations. | 0.5 |
7,497,778 | 1 | 16 | 1. A method of conducting a word based lottery game having a plurality of players, comprising the steps of: for each game, the players wagering on an entry defined by a set of words; in a random draw process, randomly generating an outcome that is a concatenation of characters, the draw being such that each outcome can be assigned a probability of occurrence; defining a rule that confers the words in the player entry a win status based on the outcome of the draw producing characters that are used to form the respective words in the player entry; selecting winning entries based on the words in an entry that are conferred a win status; and assigning a prize for each winning entry as a function of a value assigned to each of the words in the player entry formed by the randomly drawn characters, the value based on the commonality of the characters that form the words in the player entry. | 1. A method of conducting a word based lottery game having a plurality of players, comprising the steps of: for each game, the players wagering on an entry defined by a set of words; in a random draw process, randomly generating an outcome that is a concatenation of characters, the draw being such that each outcome can be assigned a probability of occurrence; defining a rule that confers the words in the player entry a win status based on the outcome of the draw producing characters that are used to form the respective words in the player entry; selecting winning entries based on the words in an entry that are conferred a win status; and assigning a prize for each winning entry as a function of a value assigned to each of the words in the player entry formed by the randomly drawn characters, the value based on the commonality of the characters that form the words in the player entry. 16. The method of claim 1 , wherein prizes are assigned to subsets of words and entries are assigned to players so that the plurality of entries yields a certain return. | 0.629386 |
7,925,673 | 18 | 19 | 18. A system for providing an interactive knowledge based community solution, the community comprising multiple users, each of the multiple users belonging to a user type, the user types comprising participant, mentor, and subject matter expert (SME), the system comprising: (a) at least one database stored in a non-transitory data storage unit for storing a list of registered users having access to the system and a user profile associated with each user; (b) an access element for providing access to personalized portals for the registered users; (c) a computer-implemented mentor matching module for matching a participant user with a mentor user based on user profiles of the participant user and the mentor user; (d) a computer-implemented subject matter expert matching module for matching a participant user with at least one subject matter expert user based on user profiles of the participant user and the at least one subject matter user each including at least one of an industry identifier and an occupation identifier; (e) a computer-implemented interface module for at least one user to interact with at least one other user; and (f) a computer-implemented content module for providing each of participant user with personalized content that is selected on the basis of at least one of (i) a match between the participant user and a mentor user, and (ii) a match between the participant user and at least one subject matter expert user; wherein the mentor user differs from the at least one subject matter expert user. | 18. A system for providing an interactive knowledge based community solution, the community comprising multiple users, each of the multiple users belonging to a user type, the user types comprising participant, mentor, and subject matter expert (SME), the system comprising: (a) at least one database stored in a non-transitory data storage unit for storing a list of registered users having access to the system and a user profile associated with each user; (b) an access element for providing access to personalized portals for the registered users; (c) a computer-implemented mentor matching module for matching a participant user with a mentor user based on user profiles of the participant user and the mentor user; (d) a computer-implemented subject matter expert matching module for matching a participant user with at least one subject matter expert user based on user profiles of the participant user and the at least one subject matter user each including at least one of an industry identifier and an occupation identifier; (e) a computer-implemented interface module for at least one user to interact with at least one other user; and (f) a computer-implemented content module for providing each of participant user with personalized content that is selected on the basis of at least one of (i) a match between the participant user and a mentor user, and (ii) a match between the participant user and at least one subject matter expert user; wherein the mentor user differs from the at least one subject matter expert user. 19. The system of claim 18 , wherein the interface module enables inter-user communications including at least one of text-based chat communication, Voice Over Internet Protocol (VOIP) communication, and threaded discussion communication. | 0.740741 |
8,886,540 | 9 | 10 | 9. The method of claim 7 , wherein the updating of application results is performed automatically. | 9. The method of claim 7 , wherein the updating of application results is performed automatically. 10. The method of claim 9 , wherein the automatic update is performed after a predefined amount of time after the user alters the set of words. | 0.5 |
8,775,347 | 1 | 24 | 1. A method for reservoir development planning, comprising the steps of: receiving data relevant to reservoir development; processing the received data by using a computer-implemented Markov decision process-based model, wherein the using the computer-implemented Markov decision process-based model includes defining a plurality of stages, each stage representing a discrete step in time; defining a plurality of states in each stage, each state representing a potential state of the reservoir development plan, and determining a future state by using a probability that the reservoir development transitions from a current state in a current stage to the future state in a subsequent stage, the probability being determined by the current state of the reservoir development and an action to be taken in the current stage that causes the transition to the subsequent stage; and generating a reservoir development plan in response to processing the received data via the computer-implemented Markov decision process-based model. | 1. A method for reservoir development planning, comprising the steps of: receiving data relevant to reservoir development; processing the received data by using a computer-implemented Markov decision process-based model, wherein the using the computer-implemented Markov decision process-based model includes defining a plurality of stages, each stage representing a discrete step in time; defining a plurality of states in each stage, each state representing a potential state of the reservoir development plan, and determining a future state by using a probability that the reservoir development transitions from a current state in a current stage to the future state in a subsequent stage, the probability being determined by the current state of the reservoir development and an action to be taken in the current stage that causes the transition to the subsequent stage; and generating a reservoir development plan in response to processing the received data via the computer-implemented Markov decision process-based model. 24. The method of claim 1 , wherein the probability includes a plurality of transition probabilities for transitioning from the current state in the current stage to possible future states in the subsequent stage. | 0.705801 |
8,543,546 | 14 | 19 | 14. A computer program product for replicating IP address assignment changes in a distributed database having a plurality of nodes, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database; provisionally applying the semantic command to the first local version of the database before sending the semantic command to the master node; and reconciling the semantic command with the master version of the database, wherein reconciling the semantic command with the master version of the database includes determining whether the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node. | 14. A computer program product for replicating IP address assignment changes in a distributed database having a plurality of nodes, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for: receiving a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database; provisionally applying the semantic command to the first local version of the database before sending the semantic command to the master node; and reconciling the semantic command with the master version of the database, wherein reconciling the semantic command with the master version of the database includes determining whether the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node. 19. A computer program product as recited in claim 14 , wherein the provisional modification comprises modifying the first local version of the database before reconciling the modification with the master node. | 0.747596 |
8,051,405 | 13 | 18 | 13. A computer readable medium, including instructions stored thereon which when executed cause a computer to perform steps comprising: providing a developer interface that allows a software developer to specify a project or application input file as an input; providing a plurality of script generators, wherein at least one of the plurality of script generators is applied to the input file to generate an interim build script for the project or application; providing a plurality of generator customizers, wherein at least one of the plurality of script generators is the interim build script; and outputting the interim build script as a build script, as modified by the generator customizers, for subsequent use in building the project or application; wherein each of the plurality of script generators directly reads the input file to independently determine its applicability to the input file, and if the script generator is applicable the script generator then assists in generating the interim build script, otherwise the script generator abstains from the script generation, wherein the determining applicability of the script generator does not involve invoking the script generator; and wherein the applicability of each of the script generators is first determined, and the determined applicable script generators are invoked to assist in generating the interim build script. | 13. A computer readable medium, including instructions stored thereon which when executed cause a computer to perform steps comprising: providing a developer interface that allows a software developer to specify a project or application input file as an input; providing a plurality of script generators, wherein at least one of the plurality of script generators is applied to the input file to generate an interim build script for the project or application; providing a plurality of generator customizers, wherein at least one of the plurality of script generators is the interim build script; and outputting the interim build script as a build script, as modified by the generator customizers, for subsequent use in building the project or application; wherein each of the plurality of script generators directly reads the input file to independently determine its applicability to the input file, and if the script generator is applicable the script generator then assists in generating the interim build script, otherwise the script generator abstains from the script generation, wherein the determining applicability of the script generator does not involve invoking the script generator; and wherein the applicability of each of the script generators is first determined, and the determined applicable script generators are invoked to assist in generating the interim build script. 18. The computable readable medium of claim 13 , the steps further comprising further comprising: providing a line-based templating facility and editor that allows the software developer to create templates for use with the generators. | 0.577338 |
9,789,394 | 2 | 3 | 2. The method of claim 1 , further comprising: soliciting a calibration set of speech utterances from the plurality of participants; and based on the calibration set of speech utterances, creating a set of voice prints or templates to distinguish between each of the plurality of participants. | 2. The method of claim 1 , further comprising: soliciting a calibration set of speech utterances from the plurality of participants; and based on the calibration set of speech utterances, creating a set of voice prints or templates to distinguish between each of the plurality of participants. 3. The method of claim 2 , wherein said creating further comprises examining the calibration set of speech utterances for prosodic features. | 0.5 |
8,775,405 | 1 | 7 | 1. A method of presenting news content to a user with a computing system comprising: a) determining a first user geographic region associated with the user; b) automatically determining a target geographic region for a first event with the computing system by analyzing content for news stories relating to said first event; c) determining if said first event in said target geographic region is related to said first user geographic region; d) automatically selecting one or more local sources with the computing system to collect local content for stories associated with said first event; wherein said one or more local sources include news sources within or proximate to said target geographic region; e) presenting news stories to a user for said first user geographic region with the computing system within a graphical interface based on a news ranking determined for said news stories; wherein for said presenting step (e) said local content from said local sources is given a higher news ranking than content from other reference content sources by the computing system at least for stories that are associated with said first event. | 1. A method of presenting news content to a user with a computing system comprising: a) determining a first user geographic region associated with the user; b) automatically determining a target geographic region for a first event with the computing system by analyzing content for news stories relating to said first event; c) determining if said first event in said target geographic region is related to said first user geographic region; d) automatically selecting one or more local sources with the computing system to collect local content for stories associated with said first event; wherein said one or more local sources include news sources within or proximate to said target geographic region; e) presenting news stories to a user for said first user geographic region with the computing system within a graphical interface based on a news ranking determined for said news stories; wherein for said presenting step (e) said local content from said local sources is given a higher news ranking than content from other reference content sources by the computing system at least for stories that are associated with said first event. 7. The method of claim 1 wherein advertising is presented within said interface based on a state identified for said first event. | 0.724359 |
8,352,266 | 7 | 9 | 7. A method for generating a dynamic grammar file for use by a speech recognition engine to resolve unrecognized sound groups in a speech using concept to keywords mappings and sentence types, each sentence type having a plurality of associated grammar rules, the grammar rules being expressed in concepts, said method comprising the steps of: parsing the partially recognized speech using a natural language processor into a pre-determined sentence type and an associated ordered list of recognized words and place holders corresponding to the unrecognized sound groups; selecting a list of grammar rules associated with the sentence type from a plurality of grammar rules stored by a storage unit on a storage medium, each grammar rule of said list having a plurality of constituent concepts, each of said constituent concepts corresponding to one of the recognized words and the unrecognized sound groups; for each place holder corresponding to said unrecognized sound group, merging said corresponding constituent concepts in all said selected grammar rules into a list of concepts; generating the dynamic grammar rule from said ordered list by replacing each concept of said list of merged concepts with a list of keywords a list of candidate words using the concept to keywords mappings stored by the storage unit wherein each of the keywords mapped from the merged concept are expandable to a plurality of words conceptually related to each of the merged concepts and wherein the plurality of words are the list of candidate words; and providing the dynamic grammar rule to the speech recognition engine to enable the speech recognition engine to use the dynamic grammar rule to resolve the unrecognized sound groups in the partially recognized speech corresponding to the place holders. | 7. A method for generating a dynamic grammar file for use by a speech recognition engine to resolve unrecognized sound groups in a speech using concept to keywords mappings and sentence types, each sentence type having a plurality of associated grammar rules, the grammar rules being expressed in concepts, said method comprising the steps of: parsing the partially recognized speech using a natural language processor into a pre-determined sentence type and an associated ordered list of recognized words and place holders corresponding to the unrecognized sound groups; selecting a list of grammar rules associated with the sentence type from a plurality of grammar rules stored by a storage unit on a storage medium, each grammar rule of said list having a plurality of constituent concepts, each of said constituent concepts corresponding to one of the recognized words and the unrecognized sound groups; for each place holder corresponding to said unrecognized sound group, merging said corresponding constituent concepts in all said selected grammar rules into a list of concepts; generating the dynamic grammar rule from said ordered list by replacing each concept of said list of merged concepts with a list of keywords a list of candidate words using the concept to keywords mappings stored by the storage unit wherein each of the keywords mapped from the merged concept are expandable to a plurality of words conceptually related to each of the merged concepts and wherein the plurality of words are the list of candidate words; and providing the dynamic grammar rule to the speech recognition engine to enable the speech recognition engine to use the dynamic grammar rule to resolve the unrecognized sound groups in the partially recognized speech corresponding to the place holders. 9. The method according to claim 7 , wherein said concept to keywords mapping has a context attribute and the context designation assigned to said dynamic grammar rule corresponds to said context attribute. | 0.773128 |
7,856,375 | 40 | 43 | 40. The method of claim 37 wherein said customized content includes alternative text phrasings of said separate descriptions, characteristics and/or identifications for said at least a first financial product and/or financial service. | 40. The method of claim 37 wherein said customized content includes alternative text phrasings of said separate descriptions, characteristics and/or identifications for said at least a first financial product and/or financial service. 43. The method of claim 40 wherein said alternative text phrasings are used in footnotes. | 0.741279 |
9,740,687 | 1 | 5 | 1. A method for building a user language model that indicates one or more natural languages for a user associated with a user identifier, comprising: receiving an indication of a set of one or more characteristics associated with the user identifier, wherein at least some of the received characteristics correspond to a specified likelihood that the user is facile with a particular language; combining the specified likelihoods to generate a baseline language prediction; receiving indications of one or more user actions, wherein each user action corresponds to a specified expectation that the user is facile with a particular language; and updating the baseline language prediction to form a current language prediction indicating one or more languages the user is facile with, the updating based on a modification of the baseline language prediction using the specified expectations; wherein, for a selected language of the one or more of the languages which the current language prediction indicates the user is facile with, the language model includes at least a first identifier indicating whether the user can read in the selected language and at least a second identifier, different from the first identifier, indicating whether the user can write in the selected language; and wherein the updating of the baseline language prediction comprises associating one or more user actions with a weight value based on an observed intensity or frequency of the user action. | 1. A method for building a user language model that indicates one or more natural languages for a user associated with a user identifier, comprising: receiving an indication of a set of one or more characteristics associated with the user identifier, wherein at least some of the received characteristics correspond to a specified likelihood that the user is facile with a particular language; combining the specified likelihoods to generate a baseline language prediction; receiving indications of one or more user actions, wherein each user action corresponds to a specified expectation that the user is facile with a particular language; and updating the baseline language prediction to form a current language prediction indicating one or more languages the user is facile with, the updating based on a modification of the baseline language prediction using the specified expectations; wherein, for a selected language of the one or more of the languages which the current language prediction indicates the user is facile with, the language model includes at least a first identifier indicating whether the user can read in the selected language and at least a second identifier, different from the first identifier, indicating whether the user can write in the selected language; and wherein the updating of the baseline language prediction comprises associating one or more user actions with a weight value based on an observed intensity or frequency of the user action. 5. The method of claim 1 , further comprising updating the current prediction based on one or more of: a change or addition to the characteristics associated with the user; detecting a further user action; a change in a value of one or more of the determined likelihoods corresponding to a characteristic associated with the user; and a change in a value of one or more of the determined expectations corresponding to one or more of the user actions. | 0.55 |
8,121,860 | 1 | 15 | 1. An expected outcome data system storing data representing a plurality of different expected outcomes of patient care and treatment for use in providing healthcare to a patient, comprising: an acquisition processor for acquiring data representing an expected outcome of treatment associated with a medical problem, for storage in a repository; at least one repository, electrically coupled to said acquisition processor, including data representing a plurality of different expected outcomes of treatment and an individual expected outcome of treatment has an expected outcome name and is characterized by expected outcome attributes and an individual expected outcome attribute has a plurality of attribute properties determining how an expected outcome attribute is represented, said expected outcome attributes including, a focus term indicating a topic of an expected outcome, an expected outcome likelihood term indicating an assessment of likelihood of the associated corresponding expected outcome, and a client term indicating at least one target person for care; said attribute properties including, a format attribute property indicating a format constraint of said expected outcome attribute and determining formatting or presentation of said expected outcome attribute, and a content attribute property indicating a content constraint of said expected outcome attribute and determining modification of said expected outcome attribute; and a retrieval processor, electrically coupled to said repository, for retrieving data representing at least one expected outcome from said repository and communication of said expected outcome attributes to a destination system for processing data representing an expected outcome in response to said attribute properties. | 1. An expected outcome data system storing data representing a plurality of different expected outcomes of patient care and treatment for use in providing healthcare to a patient, comprising: an acquisition processor for acquiring data representing an expected outcome of treatment associated with a medical problem, for storage in a repository; at least one repository, electrically coupled to said acquisition processor, including data representing a plurality of different expected outcomes of treatment and an individual expected outcome of treatment has an expected outcome name and is characterized by expected outcome attributes and an individual expected outcome attribute has a plurality of attribute properties determining how an expected outcome attribute is represented, said expected outcome attributes including, a focus term indicating a topic of an expected outcome, an expected outcome likelihood term indicating an assessment of likelihood of the associated corresponding expected outcome, and a client term indicating at least one target person for care; said attribute properties including, a format attribute property indicating a format constraint of said expected outcome attribute and determining formatting or presentation of said expected outcome attribute, and a content attribute property indicating a content constraint of said expected outcome attribute and determining modification of said expected outcome attribute; and a retrieval processor, electrically coupled to said repository, for retrieving data representing at least one expected outcome from said repository and communication of said expected outcome attributes to a destination system for processing data representing an expected outcome in response to said attribute properties. 15. A system according to claim 1 , wherein said expected outcome attributes include an indication of review action needed in treatment of a medical condition. | 0.790789 |
9,477,720 | 1 | 4 | 1. A computer-implemented method, comprising: receiving, at a computing device, a search query from a first user, the first user associated with a computer-implemented social graph that includes a plurality of members socially connected to the first user through the computer-implemented social graph; receiving, at the computing device, search results responsive to the search query, the search results each associated with a respective electronic document stored in one or more computer-readable storage media; determining that a particular electronic document is associated with a plurality of endorsements; identifying a subset of members of the plurality of members socially connected to the first user through the computer-implemented social graph, each member of the subset of members respectively associated with an endorsement of the plurality of endorsements; identifying an affinity of each member of the subset of the members with respect to the particular electronic document; selecting a subset of the plurality of endorsements based on the affinity of each member of the subset of the members with respect to the particular electronic document; and transmitting instructions to display the search results to the first user, the instructions comprising instructions to display one or more endorsement annotations associated with the subset of the plurality of endorsements proximate to the search result associated with the particular electronic document, the one or more endorsement annotations each including a text snippet describing the endorsement associated with the endorsement annotation, the text snippet including i) an identification of the respective member of the subset of members, ii) text indicating a service used by the respective member of the subset of members to generate the endorsement, and iii) a web-based link associated with the endorsement to direct the first user to the content of the endorsement within the service, wherein the text indicating the service used by the respective member of the subset of members to generate the endorsement is distinct from the web-based link. | 1. A computer-implemented method, comprising: receiving, at a computing device, a search query from a first user, the first user associated with a computer-implemented social graph that includes a plurality of members socially connected to the first user through the computer-implemented social graph; receiving, at the computing device, search results responsive to the search query, the search results each associated with a respective electronic document stored in one or more computer-readable storage media; determining that a particular electronic document is associated with a plurality of endorsements; identifying a subset of members of the plurality of members socially connected to the first user through the computer-implemented social graph, each member of the subset of members respectively associated with an endorsement of the plurality of endorsements; identifying an affinity of each member of the subset of the members with respect to the particular electronic document; selecting a subset of the plurality of endorsements based on the affinity of each member of the subset of the members with respect to the particular electronic document; and transmitting instructions to display the search results to the first user, the instructions comprising instructions to display one or more endorsement annotations associated with the subset of the plurality of endorsements proximate to the search result associated with the particular electronic document, the one or more endorsement annotations each including a text snippet describing the endorsement associated with the endorsement annotation, the text snippet including i) an identification of the respective member of the subset of members, ii) text indicating a service used by the respective member of the subset of members to generate the endorsement, and iii) a web-based link associated with the endorsement to direct the first user to the content of the endorsement within the service, wherein the text indicating the service used by the respective member of the subset of members to generate the endorsement is distinct from the web-based link. 4. The method of claim 1 , wherein the search results comprise web search results. | 0.921154 |
8,200,617 | 1 | 2 | 1. A method for automatically mapping a pattern of a location identifier of an object to a semantic type using metadata associated with the object, the method, comprising: determining the location identifier for the object; wherein, the metadata corresponds to the semantic type with which the object or content embodied therein has a semantic relationship; extracting the pattern from the location identifier of the object; storing the pattern in a database embodied in a machine-readable storage medium as being mapped to the semantic type; wherein, the pattern corresponds to the semantic type with which the object or the content embodied therein has a semantic relationship; wherein, the metadata has an associated weighting; and wherein, the pattern extracted from the location identifier has a trustworthiness rating that corresponds to the associated weighting of the metadata. | 1. A method for automatically mapping a pattern of a location identifier of an object to a semantic type using metadata associated with the object, the method, comprising: determining the location identifier for the object; wherein, the metadata corresponds to the semantic type with which the object or content embodied therein has a semantic relationship; extracting the pattern from the location identifier of the object; storing the pattern in a database embodied in a machine-readable storage medium as being mapped to the semantic type; wherein, the pattern corresponds to the semantic type with which the object or the content embodied therein has a semantic relationship; wherein, the metadata has an associated weighting; and wherein, the pattern extracted from the location identifier has a trustworthiness rating that corresponds to the associated weighting of the metadata. 2. The method of claim 1 , further comprising, retrieving the pattern from the database; wherein, the pattern is used to search for other location identifiers also having the pattern for locating other objects or other objects having content embodied therein, that have the semantic relationship to the semantic type. | 0.521148 |
8,018,441 | 3 | 4 | 3. The character input method of claim 1 , further comprising: determining whether a key region indicated according to distance and direction of the drag event is the same as one of the key regions where the characters of the key region where the press event occurs are displayed; highlighting the indicated key region if it is determined that the key region is the same as one of the key regions; and if the release event occurs in the highlighted key region, outputting a character of the key region where the release event occurs onto, a predetermined input editor window of the touch screen. | 3. The character input method of claim 1 , further comprising: determining whether a key region indicated according to distance and direction of the drag event is the same as one of the key regions where the characters of the key region where the press event occurs are displayed; highlighting the indicated key region if it is determined that the key region is the same as one of the key regions; and if the release event occurs in the highlighted key region, outputting a character of the key region where the release event occurs onto, a predetermined input editor window of the touch screen. 4. The character input method of claim 3 , further comprising, each time one of the key regions where the characters of the key region where the press event occurs are displayed is highlighted, outputting the character of the highlighted key region onto the input editor window. | 0.674473 |
4,771,401 | 63 | 64 | 63. A digital data processing apparatus for electronic spelling correction, said apparatus comprising A. input means for accepting a signal representative of a suspect linguistic expression, B. database storage means for storing signals representative of a set of valid linguistic expressions, C. means for converting at least one said valid linguistic expression to a linguistically salient word skeleton, and for converting said suspect linguistic expression, or a modified form thereof, to a linguistically salient word skeleton, said converting means comprising i. means for eliminating from the word skeleton produced thereby a selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that selected set, and ii. means for replacing with a different linguistic symbol another selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that other selected set, D. means for comparing said suspect expression skeleton with at least one said valid expression skeleton, and E. means for responding to a match from said comparison of word skeletons to generate a signal representative of a valid linguistic expression corresponding to a matching skeleton. | 63. A digital data processing apparatus for electronic spelling correction, said apparatus comprising A. input means for accepting a signal representative of a suspect linguistic expression, B. database storage means for storing signals representative of a set of valid linguistic expressions, C. means for converting at least one said valid linguistic expression to a linguistically salient word skeleton, and for converting said suspect linguistic expression, or a modified form thereof, to a linguistically salient word skeleton, said converting means comprising i. means for eliminating from the word skeleton produced thereby a selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that selected set, and ii. means for replacing with a different linguistic symbol another selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that other selected set, D. means for comparing said suspect expression skeleton with at least one said valid expression skeleton, and E. means for responding to a match from said comparison of word skeletons to generate a signal representative of a valid linguistic expression corresponding to a matching skeleton. 64. An apparatus according to claim 63 comprising target modification means for A. selectively modifying said suspect word skeleton by replacing one set of one or more skeleton symbols with a different set of such symbols, B. comparing said modified suspect skeleton with a linguistically salient word skeleton of at least one said database linguistic expression, and C. selectively repeating said modifying step and said comparing step in response to the continued absence of a match of skeletons. | 0.5 |
9,053,422 | 1 | 8 | 1. A computer implemented method for meeting an economic challenge, the method comprising: identifying an economic challenge; inputting a specification of the challenge into a computer through a user interface operable therewith, wherein the inputting includes inputting a structured document having a field for an economic output, a nation of interest and starting conditions for the challenge; receiving the specification from the user interface by a reasoner processor; searching a library by the reasoner processor for locating data and at least one model applicable to the challenge; developing an ontology data set from the located data and developing an ontology model set from the at least one located model by the reasoner processor, wherein the developing comprises a forward and backward chaining reasoner process which draws from the ontology model set and the ontology data set; storing the ontology data set and the ontology model set in a database; developing a selected data set and at least one selected model of the specification by the reasoner processor accessing the database for identifying a solution to the challenge; tagging the selected data set and the at least one selected model for providing information therefor; executing the at least one selected model using the selected data set by an execution engine of the processor for providing results data responsive to the field for an economic output, the nation of interest and the starting conditions for the challenge; storing the results data resulting data from the at least one executed selected model in a results database; representing the results data and relationships therebetween in a visual ontology; transferring the results data from the results database to a visualization engine of the processor for providing visual images of the results data resulting from the structured document of the specification; and selecting at least one visualized image of the results data by the reasoner processor for describing the challenge in a manner for meeting the challenge. | 1. A computer implemented method for meeting an economic challenge, the method comprising: identifying an economic challenge; inputting a specification of the challenge into a computer through a user interface operable therewith, wherein the inputting includes inputting a structured document having a field for an economic output, a nation of interest and starting conditions for the challenge; receiving the specification from the user interface by a reasoner processor; searching a library by the reasoner processor for locating data and at least one model applicable to the challenge; developing an ontology data set from the located data and developing an ontology model set from the at least one located model by the reasoner processor, wherein the developing comprises a forward and backward chaining reasoner process which draws from the ontology model set and the ontology data set; storing the ontology data set and the ontology model set in a database; developing a selected data set and at least one selected model of the specification by the reasoner processor accessing the database for identifying a solution to the challenge; tagging the selected data set and the at least one selected model for providing information therefor; executing the at least one selected model using the selected data set by an execution engine of the processor for providing results data responsive to the field for an economic output, the nation of interest and the starting conditions for the challenge; storing the results data resulting data from the at least one executed selected model in a results database; representing the results data and relationships therebetween in a visual ontology; transferring the results data from the results database to a visualization engine of the processor for providing visual images of the results data resulting from the structured document of the specification; and selecting at least one visualized image of the results data by the reasoner processor for describing the challenge in a manner for meeting the challenge. 8. The method according to claim 1 , wherein the tagging of the at least one selected model comprises providing input contents and format, output and a confidence function. | 0.756374 |
9,223,831 | 16 | 17 | 16. The computer program product of claim 15 , further comprising a mobile application running on a user's mobile electronic computing device configured for the user to search for and view the profiles of mobile applications stored on the review analytics database. | 16. The computer program product of claim 15 , further comprising a mobile application running on a user's mobile electronic computing device configured for the user to search for and view the profiles of mobile applications stored on the review analytics database. 17. The computer program product of claim 16 , wherein the analytical summaries viewed by the user on their mobile electronic computing device comprises one or more of: a) a list of two or more quotes from the reviewers and displaying how many reviewers made a similar comment about the application; b) a list of two or more quotes from the reviewers that the central processing unit has determined are the most positive and most negative comments about the application; and, c) a list of features extracted from the reviews and displaying the average score of each feature as calculated by the central processing unit, wherein said features comprise enjoy ability, graphics and user interface quality, ease of use and performance, and price. | 0.5 |
9,089,563 | 1 | 6 | 1. A method for treating an apraxia of speech in a child, said method comprises: (a) determining that the child has an apraxia of speech comprising nonverbal development; (b) determining that the child has a cognitive development of at least 18-24 months; (c) administering a therapeutically effective dose of a dopamine agonist to the child, said dopamine agonist efficaciously affecting the apraxia effecting verbal development and wherein the dopamine agonist comprises a methylphenidate; whereby there is verbal development and the apraxia of speech is diminished. | 1. A method for treating an apraxia of speech in a child, said method comprises: (a) determining that the child has an apraxia of speech comprising nonverbal development; (b) determining that the child has a cognitive development of at least 18-24 months; (c) administering a therapeutically effective dose of a dopamine agonist to the child, said dopamine agonist efficaciously affecting the apraxia effecting verbal development and wherein the dopamine agonist comprises a methylphenidate; whereby there is verbal development and the apraxia of speech is diminished. 6. The method of claim 1 , wherein verbal development prior to step (c) comprises limited verbal development consisting of several words or syllables. | 0.5 |
9,997,069 | 3 | 4 | 3. The method of claim 1 , wherein the turn for navigation is a right turn, wherein playing the non-verbal prompt comprises: playing a first set of non-verbal tones on a set of left speakers in the plurality of stereo speakers; and after playing the first set of tones, playing a second set of non-verbal tones on a set of right speakers in the plurality of stereo speakers. | 3. The method of claim 1 , wherein the turn for navigation is a right turn, wherein playing the non-verbal prompt comprises: playing a first set of non-verbal tones on a set of left speakers in the plurality of stereo speakers; and after playing the first set of tones, playing a second set of non-verbal tones on a set of right speakers in the plurality of stereo speakers. 4. The method of claim 3 , wherein the first and second sets of tones are different sets of tones. | 0.519608 |
8,549,489 | 1 | 22 | 1. A method of computer programming for a target programming language, wherein the computer programming includes at least one programming command, the method comprising: providing, by a processor, a predefined command having a defined word, wherein the predefined command is expressed as a predefined command sentence comprising at least a portion of a programming command and a structure other than a syntax of the target programming language, wherein the target programming language is a lower level language and the structure is part of a structured high-level language comprising natural language elements with abstraction from the target programming language; providing, by the processor, an entry component corresponding to the word in the predefined command, the entry component provided consistent with the definition of the word independent of the target programming language and being modifiable in response to a user input; receiving, by the processor, data relating to an input value for the entry component; converting, by the processor, the predefined command and the input value for the entry component into a completed programming command in the high-level language; and expressing, by the processor, the completed programming command to the user as a completed command sentence, wherein the completed command sentence comprises the structured high-level language comprising natural language elements with abstraction from the target programming language. | 1. A method of computer programming for a target programming language, wherein the computer programming includes at least one programming command, the method comprising: providing, by a processor, a predefined command having a defined word, wherein the predefined command is expressed as a predefined command sentence comprising at least a portion of a programming command and a structure other than a syntax of the target programming language, wherein the target programming language is a lower level language and the structure is part of a structured high-level language comprising natural language elements with abstraction from the target programming language; providing, by the processor, an entry component corresponding to the word in the predefined command, the entry component provided consistent with the definition of the word independent of the target programming language and being modifiable in response to a user input; receiving, by the processor, data relating to an input value for the entry component; converting, by the processor, the predefined command and the input value for the entry component into a completed programming command in the high-level language; and expressing, by the processor, the completed programming command to the user as a completed command sentence, wherein the completed command sentence comprises the structured high-level language comprising natural language elements with abstraction from the target programming language. 22. The method of claim 1 , further comprising defining the predefined command. | 0.891781 |
8,984,387 | 1 | 11 | 1. A method comprising: enabling a set of users to interact with a system over a network, wherein a first user and a plurality of second users belong to the set of users; generating, for the first user, within the system, content for one or more application displays to be displayed to the first user; receiving, by the system, from each user from the plurality of second users, a corresponding specification of interest in being notified about interactions of the first user; in response to receiving first text that was input by the first user, the system performing the steps of: adding the first text to sharable content, wherein the sharable content includes at least a portion of content from the one or more application displays that were generated for the first user; and causing display of first information, in a respective application display of each user from the plurality of second users, based, at least in part, on the corresponding specification of interest of each user of the plurality of second users, wherein the first information includes an access identifier that provides access to the sharable content; receiving, from a particular second user of the plurality of second users, a specification of interest in being notified about interactions of another user, wherein the other user is a different user than the first user and the particular second user; in response to receiving particular text that was input by the other user, the system causing display of another information in the respective application display of the particular second user, based, at least in part, on the specification of interest in being notified about interactions of the other user, wherein the other information includes at least a portion of the particular text; and wherein the other information is concurrently displayed with the first information in the respective application display of the particular second user. | 1. A method comprising: enabling a set of users to interact with a system over a network, wherein a first user and a plurality of second users belong to the set of users; generating, for the first user, within the system, content for one or more application displays to be displayed to the first user; receiving, by the system, from each user from the plurality of second users, a corresponding specification of interest in being notified about interactions of the first user; in response to receiving first text that was input by the first user, the system performing the steps of: adding the first text to sharable content, wherein the sharable content includes at least a portion of content from the one or more application displays that were generated for the first user; and causing display of first information, in a respective application display of each user from the plurality of second users, based, at least in part, on the corresponding specification of interest of each user of the plurality of second users, wherein the first information includes an access identifier that provides access to the sharable content; receiving, from a particular second user of the plurality of second users, a specification of interest in being notified about interactions of another user, wherein the other user is a different user than the first user and the particular second user; in response to receiving particular text that was input by the other user, the system causing display of another information in the respective application display of the particular second user, based, at least in part, on the specification of interest in being notified about interactions of the other user, wherein the other information includes at least a portion of the particular text; and wherein the other information is concurrently displayed with the first information in the respective application display of the particular second user. 11. The method of claim 1 wherein content of the first information that was displayed to one of the plurality of second users differs from content of the first information that was displayed to at least one other of the plurality of second users. | 0.7607 |
9,009,192 | 1 | 11 | 1. A method implemented by a data processing apparatus, the method comprising: identifying multiple candidate entities that are associated with a first web resource, each candidate entity being a word or a phrase; obtaining a first entity graph representing relationships between entities associated with resources in a collection of resources, wherein the first entity graph includes multiple nodes, each node representing a different entity associated with a respective resource in the collection of resources, each entity being a word or a phrase, wherein the first entity graph includes edges connecting pairs of nodes, and wherein each of the edges represents that two nodes connected by an edge represent two entities that are frequently associated with a same resource in the collection of resources; filtering the first entity graph to remove nodes that do not represent any of the candidate entities associated with the first web resource; generating, from the filtered first entity graph, a second entity graph for the first resource, including removing nodes from the filtered first entity graph that are not connected by an edge to at least one other node in the filtered first entity graph; identifying candidate entities that are represented by respective nodes in the second entity graph as being central entities for the first resource; generating respective search queries for each of the identified central entities; obtaining search results responsive to the search queries from a search engine; selecting a web resource referenced by a particular search result of the obtained search results as relevant additional content for the first web resource; and associating the relevant additional content with the first web resource for presentation to a user requesting content from the first web resource. | 1. A method implemented by a data processing apparatus, the method comprising: identifying multiple candidate entities that are associated with a first web resource, each candidate entity being a word or a phrase; obtaining a first entity graph representing relationships between entities associated with resources in a collection of resources, wherein the first entity graph includes multiple nodes, each node representing a different entity associated with a respective resource in the collection of resources, each entity being a word or a phrase, wherein the first entity graph includes edges connecting pairs of nodes, and wherein each of the edges represents that two nodes connected by an edge represent two entities that are frequently associated with a same resource in the collection of resources; filtering the first entity graph to remove nodes that do not represent any of the candidate entities associated with the first web resource; generating, from the filtered first entity graph, a second entity graph for the first resource, including removing nodes from the filtered first entity graph that are not connected by an edge to at least one other node in the filtered first entity graph; identifying candidate entities that are represented by respective nodes in the second entity graph as being central entities for the first resource; generating respective search queries for each of the identified central entities; obtaining search results responsive to the search queries from a search engine; selecting a web resource referenced by a particular search result of the obtained search results as relevant additional content for the first web resource; and associating the relevant additional content with the first web resource for presentation to a user requesting content from the first web resource. 11. The method of claim 1 , wherein identifying multiple candidate entities that are associated with a first web resource comprises identifying entities occurring in the resource, entities occurring in metadata associated with the resource, or entities occurring in a title or a URL of the resource. | 0.783019 |
9,202,467 | 53 | 54 | 53. The method of claim 47 , wherein the method further comprises: responsive to another voice command: determining that the another voice command is equally associable with the first and second grammars; selecting one of the first and second display windows; and displaying data in the selected one of the first and second display windows. | 53. The method of claim 47 , wherein the method further comprises: responsive to another voice command: determining that the another voice command is equally associable with the first and second grammars; selecting one of the first and second display windows; and displaying data in the selected one of the first and second display windows. 54. The method of claim 53 , wherein the selecting is in accordance with a user input. | 0.695035 |
7,716,593 | 1 | 12 | 1. A method for displaying electronic mail messages in a conversation grouping, comprising: receiving a plurality of electronic mail messages having a common subject; associating each of the plurality of electronic mail messages having common subject with at least one conversation grouping; when at least one of the plurality of electronic mail messages associated with the at least one conversation grouping has not been read or has been flagged for follow up, designating the at least one of the plurality of electronic mail messages associated with the at least one conversation grouping that has not been read or that has been flagged for follow up for display in a conversation grouping record under a conversation grouping heading; in the conversation grouping record displayed in a user interface, automatically displaying the conversation grouping heading on a first line in the conversation grouping record, displaying all the designated electronic mail messages that have not been read or that have been flagged for follow up in successive lines in the conversation grouping record beneath the conversation grouping heading; determining whether at least one other of the plurality of electronic mail messages associated with the at least one conversation grouping has been read or has not been flagged for follow up; and when at least one other of the plurality of electronic mail messages associated with the at least one conversation grouping has been read and has not been flagged for follow up, displaying an indicator comprising a button, adjacent to the conversation grouping record for expanding and collapsing additional messages which have already been read and have not been flagged for follow up which are associated with the conversation grouping record but are not displayed. | 1. A method for displaying electronic mail messages in a conversation grouping, comprising: receiving a plurality of electronic mail messages having a common subject; associating each of the plurality of electronic mail messages having common subject with at least one conversation grouping; when at least one of the plurality of electronic mail messages associated with the at least one conversation grouping has not been read or has been flagged for follow up, designating the at least one of the plurality of electronic mail messages associated with the at least one conversation grouping that has not been read or that has been flagged for follow up for display in a conversation grouping record under a conversation grouping heading; in the conversation grouping record displayed in a user interface, automatically displaying the conversation grouping heading on a first line in the conversation grouping record, displaying all the designated electronic mail messages that have not been read or that have been flagged for follow up in successive lines in the conversation grouping record beneath the conversation grouping heading; determining whether at least one other of the plurality of electronic mail messages associated with the at least one conversation grouping has been read or has not been flagged for follow up; and when at least one other of the plurality of electronic mail messages associated with the at least one conversation grouping has been read and has not been flagged for follow up, displaying an indicator comprising a button, adjacent to the conversation grouping record for expanding and collapsing additional messages which have already been read and have not been flagged for follow up which are associated with the conversation grouping record but are not displayed. 12. The method of claim 1 , whereby displaying the conversation grouping heading on a first line in the conversation grouping record includes displaying the conversation grouping heading only once per a given conversation grouping. | 0.669054 |
8,484,554 | 9 | 11 | 9. A non-transitory computer-readable storage medium for use with an electronic device, the computer-readable storage medium having instructions stored thereon which are configured to cause the electronic device to perform at least: providing an XML template defining at least one column of a Gantt chart and including a non-XML code instruction including functionality to add a row; inserting the definition of the at least one column and the non-XML code instruction to add the row into an XML basic layout; calling a method to perform the non-XML code instruction to add the row to the Gantt chart, the row representing a first task to be included in the Gantt chart; generating XML coding for adding the row representing the first task to the Gantt chart based on the received non-XML code instruction and the called method; adding the XML coding for adding the row to a ROW-XML document, the ROW-XML document including control data; and removing the control data from the ROW-XML document to produce an XML output document. | 9. A non-transitory computer-readable storage medium for use with an electronic device, the computer-readable storage medium having instructions stored thereon which are configured to cause the electronic device to perform at least: providing an XML template defining at least one column of a Gantt chart and including a non-XML code instruction including functionality to add a row; inserting the definition of the at least one column and the non-XML code instruction to add the row into an XML basic layout; calling a method to perform the non-XML code instruction to add the row to the Gantt chart, the row representing a first task to be included in the Gantt chart; generating XML coding for adding the row representing the first task to the Gantt chart based on the received non-XML code instruction and the called method; adding the XML coding for adding the row to a ROW-XML document, the ROW-XML document including control data; and removing the control data from the ROW-XML document to produce an XML output document. 11. The computer-readable storage medium of claim 9 , wherein the instructions are further configured to cause the electronic device to modify existing lines of XML code in the ROW-XML document based on the non-XML code instruction including functionality to add the row to the Gantt chart. | 0.5 |
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