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8,959,103 | 20 | 21 | 20. The system of claim 19 , wherein adjusting the click count for the query term reordering rule comprises incrementing the click count for the query term reordering rule, and wherein the operations comprise assigning a score to the query term reordering rule based on the click count and a skip count. | 20. The system of claim 19 , wherein adjusting the click count for the query term reordering rule comprises incrementing the click count for the query term reordering rule, and wherein the operations comprise assigning a score to the query term reordering rule based on the click count and a skip count. 21. The system of claim 20 , wherein the score assigned to the query term reordering rule is based on a ratio of (i) the click count to (ii) the click count and the skip count. | 0.77261 |
8,286,126 | 19 | 20 | 19. A non-transitory computer readable medium having computer executable code thereon, said medium comprising an application program comprising: imperative code providing a set of instructions setting forth logic to provide operations occurring as a flow of the application program progresses; and declarative code associated with a selected portion of said imperative code, said declarative code associated with a predetermined state other than an initial state of said application program and allowing direct navigation to said predetermined state, wherein navigating to said predetermined state is permitted only if a condition precedent has been met. | 19. A non-transitory computer readable medium having computer executable code thereon, said medium comprising an application program comprising: imperative code providing a set of instructions setting forth logic to provide operations occurring as a flow of the application program progresses; and declarative code associated with a selected portion of said imperative code, said declarative code associated with a predetermined state other than an initial state of said application program and allowing direct navigation to said predetermined state, wherein navigating to said predetermined state is permitted only if a condition precedent has been met. 20. The medium of claim 19 wherein the condition precedent comprises one or more of verifying a user identity; verifying user information, determining a user account, querying for user data, and accessing a database. | 0.5 |
8,306,909 | 8 | 9 | 8. A method of determining a collections treatment type, said method comprising: selecting, by a computer processor, a score band based on a credit score associated with a debtor; determining, by the computer processor, a collections score based on raw credit data and a first scoring expression of a plurality of different scoring expressions, wherein said first scoring expression is associated with said score band, wherein said first scoring expression utilizes a first variable, and wherein a second scoring expression associated with a second score band utilizes a second variable; and determining, by the computer processor, said collections treatment type based on said collections score. | 8. A method of determining a collections treatment type, said method comprising: selecting, by a computer processor, a score band based on a credit score associated with a debtor; determining, by the computer processor, a collections score based on raw credit data and a first scoring expression of a plurality of different scoring expressions, wherein said first scoring expression is associated with said score band, wherein said first scoring expression utilizes a first variable, and wherein a second scoring expression associated with a second score band utilizes a second variable; and determining, by the computer processor, said collections treatment type based on said collections score. 9. The method of claim 8 further comprising: initiating a treatment action based on said collections treatment type, wherein said treatment action is associated with said debtor. | 0.702341 |
9,396,177 | 15 | 16 | 15. The method of claim 14 , wherein the step of comparing the elastic graph for the first text document to the elastic graph for the second text document comprises: determining that a matching metric for the comparison exceeds a threshold. | 15. The method of claim 14 , wherein the step of comparing the elastic graph for the first text document to the elastic graph for the second text document comprises: determining that a matching metric for the comparison exceeds a threshold. 16. The method of claim 15 , wherein the threshold is based on the customization library. | 0.5 |
9,911,043 | 10 | 12 | 10. A non-transitory computer-readable storage medium storing instructions, which when executed by a computer system, perform operations for analyzing a scene depicted in an input stream of video frames captured by a video camera, the instructions comprising instructions to: receive at least two sequences, each sequence of the at least two sequences corresponding to a segment of a trajectory taken by a respective object through the scene; determine, via one or more processors, whether the objects interact based on a spatio-temporal proximity of the objects; and if the objects interact: map each sequence of the at least two sequences to a sequence cluster, retrieve, from an ngram trie, a learned joint probability indicating a likelihood of a given sequence cluster pair from a plurality of sequence cluster pairs occurring in the scene, the ngram trie including a plurality of nodes, the (liven sequence cluster pair being represented jointly by a first node in a first layer of the ngram trie and a second node in a second layer of the ngram trie, the first node and the second node representing sequence clusters in the (liven sequence cluster pair, and determine a rareness value for each sequence cluster pair of the plurality of sequence cluster pairs based on learned joint probabilities of sequence cluster pairs and a frequency of a most frequently observed sequence cluster pair, the rareness value based on R ij = 1 - f ij f max , where f ij is a frequency with which sequence cluster pair {C i , C j } has been observed and f max is the frequency of the most frequently observed sequence cluster pair; determine, using a statistical anomaly model, an anomaly temperature for the rareness value, wherein the anomaly temperature indicates a frequency of occurrence of the rareness value; and upon determination that one or more reporting criteria are met based at least on the anomaly temperature, report the interaction. | 10. A non-transitory computer-readable storage medium storing instructions, which when executed by a computer system, perform operations for analyzing a scene depicted in an input stream of video frames captured by a video camera, the instructions comprising instructions to: receive at least two sequences, each sequence of the at least two sequences corresponding to a segment of a trajectory taken by a respective object through the scene; determine, via one or more processors, whether the objects interact based on a spatio-temporal proximity of the objects; and if the objects interact: map each sequence of the at least two sequences to a sequence cluster, retrieve, from an ngram trie, a learned joint probability indicating a likelihood of a given sequence cluster pair from a plurality of sequence cluster pairs occurring in the scene, the ngram trie including a plurality of nodes, the (liven sequence cluster pair being represented jointly by a first node in a first layer of the ngram trie and a second node in a second layer of the ngram trie, the first node and the second node representing sequence clusters in the (liven sequence cluster pair, and determine a rareness value for each sequence cluster pair of the plurality of sequence cluster pairs based on learned joint probabilities of sequence cluster pairs and a frequency of a most frequently observed sequence cluster pair, the rareness value based on R ij = 1 - f ij f max , where f ij is a frequency with which sequence cluster pair {C i , C j } has been observed and f max is the frequency of the most frequently observed sequence cluster pair; determine, using a statistical anomaly model, an anomaly temperature for the rareness value, wherein the anomaly temperature indicates a frequency of occurrence of the rareness value; and upon determination that one or more reporting criteria are met based at least on the anomaly temperature, report the interaction. 12. The computer-readable storage medium of claim 10 , wherein the sequence clusters are clusters of an adaptive resonance theory (ART) network, and wherein the ART network is updated based on observed sequences. | 0.815972 |
8,543,911 | 18 | 19 | 18. The non-transitory machine readable medium of claim 16 , wherein the second sorting criteria is further based on a reading flow of one of the two consecutive primitive areas. | 18. The non-transitory machine readable medium of claim 16 , wherein the second sorting criteria is further based on a reading flow of one of the two consecutive primitive areas. 19. The non-transitory machine readable medium of claim 18 , wherein one of the two consecutive primitive areas is a layout area that comprises character glyphs. | 0.63242 |
9,652,787 | 1 | 2 | 1. A system comprising: one or more processors of a machine; a first machine-readable medium storing a plurality of generative grammar models; and a second machine-readable medium storing instructions that, when executed by the one or more processors, cause the machine to perform operations comprising: receiving a request to generate a message; selecting a generative grammar model from the plurality of generative grammar models in response to receiving the request, the generative grammar model defining a message structure for the requested message, the message structure including a plurality of lexical slots, the generative grammar model specifying: a corpus of source data to populate each lexical slot in the plurality of lexical slots; and a grammatical constraint for each lexical slot-in the plurality of lexical slots; generating the message using the generative grammar model; verifying that the message adheres to a messaging standard of a social network platform; and causing the message to be published to one or more users through publication on the social network platform. | 1. A system comprising: one or more processors of a machine; a first machine-readable medium storing a plurality of generative grammar models; and a second machine-readable medium storing instructions that, when executed by the one or more processors, cause the machine to perform operations comprising: receiving a request to generate a message; selecting a generative grammar model from the plurality of generative grammar models in response to receiving the request, the generative grammar model defining a message structure for the requested message, the message structure including a plurality of lexical slots, the generative grammar model specifying: a corpus of source data to populate each lexical slot in the plurality of lexical slots; and a grammatical constraint for each lexical slot-in the plurality of lexical slots; generating the message using the generative grammar model; verifying that the message adheres to a messaging standard of a social network platform; and causing the message to be published to one or more users through publication on the social network platform. 2. The system of claim 1 , wherein each of the plurality of lexical slots includes a blank in the message structure to be populated with information from the corresponding corpus of source data. | 0.749354 |
8,224,832 | 16 | 23 | 16. An automated data processing system for monitoring data for changes, comprising: a monitored document, which is subject to change and includes one or more logical entities; an updatable reference of the monitored document at a given time, the updatable reference including the logical entities of the monitored document and all of the material to be monitored in the monitored document; a memory configured to store one or more criteria and the updatable reference; and at least one processor configured to: identify one or more differences between the monitored document and the updatable reference; determine that one or more of the identified differences does not represent drift, where drift is a change in position within the document of a logical entity that has not itself been changed; determine if the one or more criteria is satisfied in an identified difference between the monitored document and the updatable reference, the identified difference having been determined not to represent drift; provide notification if at least one of the one or more criteria is satisfied; and update the updatable reference to include any differences between the monitored document and the updatable reference. | 16. An automated data processing system for monitoring data for changes, comprising: a monitored document, which is subject to change and includes one or more logical entities; an updatable reference of the monitored document at a given time, the updatable reference including the logical entities of the monitored document and all of the material to be monitored in the monitored document; a memory configured to store one or more criteria and the updatable reference; and at least one processor configured to: identify one or more differences between the monitored document and the updatable reference; determine that one or more of the identified differences does not represent drift, where drift is a change in position within the document of a logical entity that has not itself been changed; determine if the one or more criteria is satisfied in an identified difference between the monitored document and the updatable reference, the identified difference having been determined not to represent drift; provide notification if at least one of the one or more criteria is satisfied; and update the updatable reference to include any differences between the monitored document and the updatable reference. 23. The system of claim 16 , wherein the at least one processor is configured to provide an output document constructed from an updatable reference document and including material representing one or more of: a complete reconstruction of the monitored document with all changes thereto after the given time; additions to the monitored document after the given time; deletions to the monitored document after the given time; and modifications of the monitored document after the given time. | 0.5 |
8,032,825 | 1 | 4 | 1. A method of dynamically creating a multimodal markup document, the method comprising: selecting a multimodal markup template, the multimodal markup template comprising visual markup and voice markup, the visual markup and voice markup operating to synchronize voice interactions specified by the voice markup and visual interactions specified by the visual markup, the multimodal markup template comprising identifications to dynamic content modules capable of creating dynamic content for insertion in the template; identifying in dependence upon the multimodal markup template a dynamic content module; instantiating the dynamic content module; executing a dynamic content creation function in the instantiated dynamic content module; receiving dynamic content from the dynamic content creation function; and including the dynamic content in the multimodal markup template. | 1. A method of dynamically creating a multimodal markup document, the method comprising: selecting a multimodal markup template, the multimodal markup template comprising visual markup and voice markup, the visual markup and voice markup operating to synchronize voice interactions specified by the voice markup and visual interactions specified by the visual markup, the multimodal markup template comprising identifications to dynamic content modules capable of creating dynamic content for insertion in the template; identifying in dependence upon the multimodal markup template a dynamic content module; instantiating the dynamic content module; executing a dynamic content creation function in the instantiated dynamic content module; receiving dynamic content from the dynamic content creation function; and including the dynamic content in the multimodal markup template. 4. The method of claim 1 wherein the dynamic content further comprises XHTML+Voice content. | 0.805556 |
7,693,720 | 1 | 27 | 1. A mobile system responsive to a user generated natural language speech utterance, comprising: a speech unit connected to a computer device on a vehicle, wherein the speech unit receives a natural language speech utterance from a user and converts the received natural language speech utterance into an electronic signal; and a natural language speech processing system connected to the computer device on the vehicle, wherein the natural language speech processing system receives, processes, and responds to the electronic signal using data received from a plurality of domain agents, wherein the natural language speech processing system includes: a speech recognition engine that recognizes at least one of words or phrases from the electronic signal using at least the data received from the plurality of domain agents, wherein the data used by the speech recognition engine includes a plurality of dictionary and phrase entries that are dynamically updated based on at least a history of a current dialog and one or more prior dialogs associated with the user; a parser that interprets the recognized words or phrases, wherein the parser uses at least the data received from the plurality of domain agents to interpret the recognized words or phrases, wherein the parser interprets the recognized words or phrases by: determining a context for the natural language speech utterance; selecting at least one of the plurality of domain agents based on the determined context; and transforming the recognized words or phrases into at least one of a question or a command, wherein the at least one question or command is formulated in a grammar that the selected domain agent uses to process the formulated question or command; and an agent architecture that communicatively couples services of each of an agent manager, a system agent, the plurality of domain agents, and an agent library that includes one or more utilities that can be used by the system agent and the plurality of domain agents, wherein the selected domain agent uses the communicatively coupled services to create a response to the formulated question or command and format the response for presentation to the user. | 1. A mobile system responsive to a user generated natural language speech utterance, comprising: a speech unit connected to a computer device on a vehicle, wherein the speech unit receives a natural language speech utterance from a user and converts the received natural language speech utterance into an electronic signal; and a natural language speech processing system connected to the computer device on the vehicle, wherein the natural language speech processing system receives, processes, and responds to the electronic signal using data received from a plurality of domain agents, wherein the natural language speech processing system includes: a speech recognition engine that recognizes at least one of words or phrases from the electronic signal using at least the data received from the plurality of domain agents, wherein the data used by the speech recognition engine includes a plurality of dictionary and phrase entries that are dynamically updated based on at least a history of a current dialog and one or more prior dialogs associated with the user; a parser that interprets the recognized words or phrases, wherein the parser uses at least the data received from the plurality of domain agents to interpret the recognized words or phrases, wherein the parser interprets the recognized words or phrases by: determining a context for the natural language speech utterance; selecting at least one of the plurality of domain agents based on the determined context; and transforming the recognized words or phrases into at least one of a question or a command, wherein the at least one question or command is formulated in a grammar that the selected domain agent uses to process the formulated question or command; and an agent architecture that communicatively couples services of each of an agent manager, a system agent, the plurality of domain agents, and an agent library that includes one or more utilities that can be used by the system agent and the plurality of domain agents, wherein the selected domain agent uses the communicatively coupled services to create a response to the formulated question or command and format the response for presentation to the user. 27. The mobile system according to claim 1 , wherein the one or more utilities included in the agent library include at least one of a text and string handling, function, a network communications function, a database lookup and management function, a fuzzy and probabilistic evaluation function, or a text to speech formatting function. | 0.742331 |
10,142,441 | 1 | 7 | 1. A method performed by a data processing apparatus, the method comprising: receiving a search query from a user, the user having a plurality of social affinity groups, each social affinity group identifying a group of users and the user as a proper subset of users of a network; receiving search results responsive to the search query, each search result referencing a corresponding resource that is determined to be responsive to the search query; identifying search results referencing resources that each have an association with one or more of the social affinity groups, where each association corresponds to one of a plurality of association types, each of the plurality of association types specifying one of a plurality of user actions performed by one or more different users of the one or more social affinity groups, the user actions including a user creation of an associated resource and a user endorsement of an associated resource; selecting one of the identified search results for annotation, wherein the selection is based in part on a pre-determined priority hierarchy of association types that specifies a different priority for each user action specified by an association type, and the selected search result has an association that corresponds to an association type with a highest priority among association types of the associations of the identified search results; annotating the selected search result, the annotation describing the association of one of the social affinity groups with the resource the selected search result references, and further identifying the social affinity group, the annotation comprising: determining a number of users that are members of the one of the social affinity groups; for each of a plurality of annotation terms, wherein each annotation term describes a relative threshold of a number of users that are members of the one of the social affinity groups, determining a target threshold for the annotation term, and wherein the target threshold for each annotation term is different from the target threshold for each other annotation term; determining, for each annotation term of the plurality of annotation terms, a threshold value based, at least in part, on the number of users that are members of the one of the social affinity groups and the target threshold for the annotation term; comparing the number of users that are members of the one of the social affinity groups to the threshold values; and applying, as the annotation, the annotation term having a target threshold that is i) less than the number of users that are members of the one of the social affinity groups and ii) that is greater than each other target threshold this is less than the number of users that are members of the one of the social affinity groups; presenting the annotated search result to the user. | 1. A method performed by a data processing apparatus, the method comprising: receiving a search query from a user, the user having a plurality of social affinity groups, each social affinity group identifying a group of users and the user as a proper subset of users of a network; receiving search results responsive to the search query, each search result referencing a corresponding resource that is determined to be responsive to the search query; identifying search results referencing resources that each have an association with one or more of the social affinity groups, where each association corresponds to one of a plurality of association types, each of the plurality of association types specifying one of a plurality of user actions performed by one or more different users of the one or more social affinity groups, the user actions including a user creation of an associated resource and a user endorsement of an associated resource; selecting one of the identified search results for annotation, wherein the selection is based in part on a pre-determined priority hierarchy of association types that specifies a different priority for each user action specified by an association type, and the selected search result has an association that corresponds to an association type with a highest priority among association types of the associations of the identified search results; annotating the selected search result, the annotation describing the association of one of the social affinity groups with the resource the selected search result references, and further identifying the social affinity group, the annotation comprising: determining a number of users that are members of the one of the social affinity groups; for each of a plurality of annotation terms, wherein each annotation term describes a relative threshold of a number of users that are members of the one of the social affinity groups, determining a target threshold for the annotation term, and wherein the target threshold for each annotation term is different from the target threshold for each other annotation term; determining, for each annotation term of the plurality of annotation terms, a threshold value based, at least in part, on the number of users that are members of the one of the social affinity groups and the target threshold for the annotation term; comparing the number of users that are members of the one of the social affinity groups to the threshold values; and applying, as the annotation, the annotation term having a target threshold that is i) less than the number of users that are members of the one of the social affinity groups and ii) that is greater than each other target threshold this is less than the number of users that are members of the one of the social affinity groups; presenting the annotated search result to the user. 7. The method of claim 1 wherein the annotated search result comprises a hyperlink to a user profile of a member of the social affinity group. | 0.876736 |
8,625,154 | 10 | 11 | 10. The apparatus of claim 1 , wherein the characteristic information further includes target coordinates corresponding to the plurality of characteristics. | 10. The apparatus of claim 1 , wherein the characteristic information further includes target coordinates corresponding to the plurality of characteristics. 11. The apparatus of claim 10 , wherein the candidate image provider module comprises: an adjustment module which adjusts preference colors constituting original images to colors corresponding to the target coordinates using an image conversion function; and a provider module which provides the plurality of candidate images comprised of the adjusted preference colors. | 0.5 |
7,574,652 | 2 | 4 | 2. A method according to claim 1 , wherein step (b) is performed upon each selection in step (a), and step (c) comprises the sub-steps of: (ca) initializing said resulting list of representative data examples for said target data component to said list generated in step (b) corresponding to a first selected data source component; and where at least one subsequent said data source component was selected in step (a), (cb) concatenating each example of said resulting list with a corresponding example in a list generated for said subsequent data source component. | 2. A method according to claim 1 , wherein step (b) is performed upon each selection in step (a), and step (c) comprises the sub-steps of: (ca) initializing said resulting list of representative data examples for said target data component to said list generated in step (b) corresponding to a first selected data source component; and where at least one subsequent said data source component was selected in step (a), (cb) concatenating each example of said resulting list with a corresponding example in a list generated for said subsequent data source component. 4. A method according to claim 2 wherein generation of said target data component is specified using the W3C Extensible Stylesheet Language Transformation Recommendation. | 0.547872 |
8,996,571 | 1 | 4 | 1. A text search apparatus comprising: a memory comprising: a document storage for storing document data that includes multiple categories of character string data, the multiple categories of character string data including at least one forward-matching-search target category that is a target of a forward matching search; and an index information storage for storing N-gram index information that includes the multiple categories of character string data, wherein a beginning mark is added before a beginning character of character string data contained in the at least one forward-matching-search target category, and no beginning mark is added before a beginning character of character string data contained in any remaining category of the multiple categories, the beginning mark indicating the beginning of the character string data; and a processor that is operable to function as: an acquirer which acquires a search keyword; an incremental searcher which adds the beginning mark before a beginning character of the acquired search keyword, generates N-gram data based on the search keyword having the beginning mark added, and performs, based on the N-gram index information, the forward matching search on the character string data contained in the at least one forward-matching-search target category; a main searcher which generates N-gram data based on the acquired search keyword without adding the beginning mark before a beginning character of the acquired search keyword, and performs, based on the N-gram index information, a partial matching search on character string data contained in the multiple categories; and an outputter which outputs a result of the forward matching search and a result of the partial matching search; wherein the document data is dictionary data that includes an entry-word data category and a commentary data category, and the at least one forward-matching-search target category contains the entry-word data category. | 1. A text search apparatus comprising: a memory comprising: a document storage for storing document data that includes multiple categories of character string data, the multiple categories of character string data including at least one forward-matching-search target category that is a target of a forward matching search; and an index information storage for storing N-gram index information that includes the multiple categories of character string data, wherein a beginning mark is added before a beginning character of character string data contained in the at least one forward-matching-search target category, and no beginning mark is added before a beginning character of character string data contained in any remaining category of the multiple categories, the beginning mark indicating the beginning of the character string data; and a processor that is operable to function as: an acquirer which acquires a search keyword; an incremental searcher which adds the beginning mark before a beginning character of the acquired search keyword, generates N-gram data based on the search keyword having the beginning mark added, and performs, based on the N-gram index information, the forward matching search on the character string data contained in the at least one forward-matching-search target category; a main searcher which generates N-gram data based on the acquired search keyword without adding the beginning mark before a beginning character of the acquired search keyword, and performs, based on the N-gram index information, a partial matching search on character string data contained in the multiple categories; and an outputter which outputs a result of the forward matching search and a result of the partial matching search; wherein the document data is dictionary data that includes an entry-word data category and a commentary data category, and the at least one forward-matching-search target category contains the entry-word data category. 4. The text search apparatus according to claim 1 , wherein when outputting the search results, the processor determines an output order for outputting character string data retrieved by the search using an output-order calculating method, and outputs the search results in accordance with the determined output order. | 0.5 |
8,037,051 | 1 | 2 | 1. A method of searching for media objects associated with a search term, the method being executed by a computer system and comprising: receiving a first search term from a user; performing a first search of Internet data, wherein said first search identifies web pages related to said first search term; analyzing, via the computer system, at least one positional relationship between terms within an individual one of said web pages to determine additional search terms relating to said first search term; scoring, via the computer system, the at least one positional relationship between terms, wherein said first search term and said additional search terms are the terms within the individual one of said web pages, and the scoring is based upon a distance between said first search term and said additional search terms within the individual one of said web pages; and performing a second search for media objects relating to said additional search terms. | 1. A method of searching for media objects associated with a search term, the method being executed by a computer system and comprising: receiving a first search term from a user; performing a first search of Internet data, wherein said first search identifies web pages related to said first search term; analyzing, via the computer system, at least one positional relationship between terms within an individual one of said web pages to determine additional search terms relating to said first search term; scoring, via the computer system, the at least one positional relationship between terms, wherein said first search term and said additional search terms are the terms within the individual one of said web pages, and the scoring is based upon a distance between said first search term and said additional search terms within the individual one of said web pages; and performing a second search for media objects relating to said additional search terms. 2. The method of claim 1 , further comprising displaying a link to said identified web pages and a link to said media objects to said user. | 0.626344 |
9,159,324 | 1 | 4 | 1. A method for identifying a speaker with a mobile device, the method comprising: capturing, via a microphone on the mobile device, audio data comprising a speech signal; inferring, via the mobile device, a context of a user of the mobile device; identifying, via the mobile device, a social graph based at least partly on the inferred context, the social graph comprising a list of potential speakers; and identifying, via the mobile device, a speaker determined to have vocally contributed to the speech signal, the speaker identification based at least partly on the identified social graph. | 1. A method for identifying a speaker with a mobile device, the method comprising: capturing, via a microphone on the mobile device, audio data comprising a speech signal; inferring, via the mobile device, a context of a user of the mobile device; identifying, via the mobile device, a social graph based at least partly on the inferred context, the social graph comprising a list of potential speakers; and identifying, via the mobile device, a speaker determined to have vocally contributed to the speech signal, the speaker identification based at least partly on the identified social graph. 4. The method of claim 1 , wherein inferring the context of the user is based at least partly on an environment of the user. | 0.83727 |
8,938,408 | 1 | 2 | 1. A method for performing search, the method comprising: receiving, by a hardware processor, at least a portion of browsing log of a user, the browsing log comprising at least a plurality of web pages viewed by the user; extracting one or more web page features from the browsing log, wherein the features include at least web address features of the web pages viewed by the user; generating, by the hardware processor, one or more web page classifiers based on the extracted features of the browsing log, wherein different classifiers are related to different search goals of the user, and wherein generating the one or more classifiers includes performing a pairwise classification of at least web address features of the browsing log; segmenting, by the hardware processor, the browsing log using the one or more classifiers into a plurality of separate logical browsing sessions related to different search goals of the user, wherein segmenting the browsing log includes analyzing at least one or more pairs of web pages viewed by the user and determining a probability of whether each of the web address features in each pair relate to a same or different search goal of the user; and performing, by the hardware processor, an Internet search based at least in part on a search query of the user and information about one of the logical browsing sessions. | 1. A method for performing search, the method comprising: receiving, by a hardware processor, at least a portion of browsing log of a user, the browsing log comprising at least a plurality of web pages viewed by the user; extracting one or more web page features from the browsing log, wherein the features include at least web address features of the web pages viewed by the user; generating, by the hardware processor, one or more web page classifiers based on the extracted features of the browsing log, wherein different classifiers are related to different search goals of the user, and wherein generating the one or more classifiers includes performing a pairwise classification of at least web address features of the browsing log; segmenting, by the hardware processor, the browsing log using the one or more classifiers into a plurality of separate logical browsing sessions related to different search goals of the user, wherein segmenting the browsing log includes analyzing at least one or more pairs of web pages viewed by the user and determining a probability of whether each of the web address features in each pair relate to a same or different search goal of the user; and performing, by the hardware processor, an Internet search based at least in part on a search query of the user and information about one of the logical browsing sessions. 2. The method of claim 1 , wherein the pairwise classification comprises: generating a learning set of classifiers based on the pairs of Web address features. | 0.874603 |
9,734,109 | 5 | 6 | 5. The MCSIT data translator of claim 1 , wherein: the word monitor port is provided in an information processing (IP) core, the IP core comprises a plurality of input channels, each of the input channels configured to receive words from a corresponding one of the controllable components, and the word monitor port is configured to generate the channel ID based on which of the input channels is active when the word is received. | 5. The MCSIT data translator of claim 1 , wherein: the word monitor port is provided in an information processing (IP) core, the IP core comprises a plurality of input channels, each of the input channels configured to receive words from a corresponding one of the controllable components, and the word monitor port is configured to generate the channel ID based on which of the input channels is active when the word is received. 6. The MCSIT data translator of claim 5 , wherein: the IP core is configured to operate at a first frequency and the channel ID tagger is configured to operate at a second frequency, the word monitor port is configured to provide the words, corresponding channel IDs and corresponding word types at the first frequency, and the MCSIT data translator further comprises a clock synchronizer configured to receive the words, the channel IDs and the word types at the first frequency, to synchronize the words, the channel IDs and the word types to the second frequency, and to pass the words, the channel IDs and the word types at the second frequency to the channel ID tagger. | 0.5 |
9,239,824 | 40 | 49 | 40. An apparatus, comprising: a processor, configured to receive an indication of initiation of a search, of a stored interactive dictionary database, by a user; and an integrated input and display device to display an electronic screen overlay including a plurality of polysemous symbols to the user, the electronic screen overlay further being usable for searching the interactive dictionary database, the processor being further configured to receive an indication of input of text into the electronic screen overlay usable for searching, and determine whether or not at least one entry in the interactive dictionary database includes a previously stored at least one word, sentence, phoneme, message, letter, number, morpheme, command and phrase matching the input text, and the display being further configured to display, upon the processor determining that one or more entries in the interactive dictionary database includes a term corresponding to the text of a previously stored at least one word, sentence, phoneme, message, letter, number, morpheme, command and/or phrase that matches the input text, a definition of the determined one or more identified entries in the interactive dictionary database, the definition including a sequence of symbols including at least one of the plurality of polysemous symbols of the electronic screen overlay, at least a subset of the plurality of polysemous symbol sequences being assignable by a user at least one of an active and an inactive status, wherein when an inactive status is assigned to one of the plurality of polysemous symbol sequences, a corresponding sequence of previously selectable symbols of the keyboard is rendered unselectable by the user. | 40. An apparatus, comprising: a processor, configured to receive an indication of initiation of a search, of a stored interactive dictionary database, by a user; and an integrated input and display device to display an electronic screen overlay including a plurality of polysemous symbols to the user, the electronic screen overlay further being usable for searching the interactive dictionary database, the processor being further configured to receive an indication of input of text into the electronic screen overlay usable for searching, and determine whether or not at least one entry in the interactive dictionary database includes a previously stored at least one word, sentence, phoneme, message, letter, number, morpheme, command and phrase matching the input text, and the display being further configured to display, upon the processor determining that one or more entries in the interactive dictionary database includes a term corresponding to the text of a previously stored at least one word, sentence, phoneme, message, letter, number, morpheme, command and/or phrase that matches the input text, a definition of the determined one or more identified entries in the interactive dictionary database, the definition including a sequence of symbols including at least one of the plurality of polysemous symbols of the electronic screen overlay, at least a subset of the plurality of polysemous symbol sequences being assignable by a user at least one of an active and an inactive status, wherein when an inactive status is assigned to one of the plurality of polysemous symbol sequences, a corresponding sequence of previously selectable symbols of the keyboard is rendered unselectable by the user. 49. The apparatus of claim 40 , wherein the interactive dictionary database includes a plurality of rationales, each respectively relating each of the plurality of symbol sequences to their associated at least one of words, sentences, phonemes, messages, letters, numbers, morphemes, commands and phrases. | 0.5 |
9,819,765 | 7 | 8 | 7. The method of claim 1 , wherein the one or more suggestions are a first set of suggestions, and the method further comprises: obtaining a second set of suggestions from a message compose window; and presenting the first and second sets of suggestions in a window. | 7. The method of claim 1 , wherein the one or more suggestions are a first set of suggestions, and the method further comprises: obtaining a second set of suggestions from a message compose window; and presenting the first and second sets of suggestions in a window. 8. The method of claim 7 , wherein the first and second sets of suggestions are presented as separate lists. | 0.5 |
7,606,797 | 14 | 16 | 14. A computer system for extracting attribute values from formatted data, the computer system comprising a physical computing device with a processor and a memory, said physical computing device being programmed to execute the following steps: maintaining an attribute repository containing information concerning a plurality of attributes, wherein an attribute comprises an entity to which is assigned one from a finite group of values, and wherein the information concerning each attribute comprises at least one matching attribute name and at least one matching value for that attribute; parsing formatted data and creating a plurality of elements, each element representing a segment of the data, comprising a canonical representation of the data, independent of the data format, said canonical representation comprising a sequence at least of text elements, each text element representing a contiguous unit of text, wherein said canonical representation excludes non-substantive content; scanning the elements of the plurality for occurrences of attribute values; ranking, by a computer, each element based on how many distinct attributes occur in that element; for each of a plurality of attributes, ranking, by a computer, each matching value for that attribute based on the highest ranking of an element in which that value occurs, and on an occurrence of that value in the same element as an occurrence of a matching name of that attribute; for each of a plurality of values occurring that occur in the formatted data, inferring, by a computer, occurrence in the formatted data of the attribute for which that value has the highest ranking, and assigning that value to that attribute; and preparing a summary of the data, using at least one attribute inferred to occur in the data and an assigned value of said at least one attribute. | 14. A computer system for extracting attribute values from formatted data, the computer system comprising a physical computing device with a processor and a memory, said physical computing device being programmed to execute the following steps: maintaining an attribute repository containing information concerning a plurality of attributes, wherein an attribute comprises an entity to which is assigned one from a finite group of values, and wherein the information concerning each attribute comprises at least one matching attribute name and at least one matching value for that attribute; parsing formatted data and creating a plurality of elements, each element representing a segment of the data, comprising a canonical representation of the data, independent of the data format, said canonical representation comprising a sequence at least of text elements, each text element representing a contiguous unit of text, wherein said canonical representation excludes non-substantive content; scanning the elements of the plurality for occurrences of attribute values; ranking, by a computer, each element based on how many distinct attributes occur in that element; for each of a plurality of attributes, ranking, by a computer, each matching value for that attribute based on the highest ranking of an element in which that value occurs, and on an occurrence of that value in the same element as an occurrence of a matching name of that attribute; for each of a plurality of values occurring that occur in the formatted data, inferring, by a computer, occurrence in the formatted data of the attribute for which that value has the highest ranking, and assigning that value to that attribute; and preparing a summary of the data, using at least one attribute inferred to occur in the data and an assigned value of said at least one attribute. 16. The computer system of claim 14 , wherein inferring occurrence of specific attributes in the formatted data and assigning most appropriate occurring values to the specific attributes is based at least upon at least one maintained datum concerning attributes from a group of data concerning attributes consisting of: a set of matching values for each of a plurality of attributes; a set of matching names for each of a plurality of attributes; and a number of matching values for each of a plurality of attributes. | 0.620968 |
7,725,830 | 1 | 4 | 1. A system for assembling a narration from one or more digital display media components, comprising: an input device, the input device operable to allow a user to select the one or more digital display media components and regions thereof; an output device, the output device operable to display the one or more digital display media components; a storage device, the storage device operable to record narration relating to the one or more digital display media components and simultaneously to record manual user indications of one or more locations in each of the digital display media components; and a digital multimedia production process, the digital multimedia production process operable to automatically perform cinematic display manipulations to form a digital multimedia production in accordance with the recorded narration and selected digital display media components and regions thereof, the automatically performed cinematic display manipulations including; analyzing the user's indications of the digital display media components and regions; determining cinematic rules corresponding to the user's indications with the digital display media components and regions; applying the cinematic rules to the digital display media components and regions; and performing cinematic image manipulation between the digital display media components or regions based on the applied cinematic rules. | 1. A system for assembling a narration from one or more digital display media components, comprising: an input device, the input device operable to allow a user to select the one or more digital display media components and regions thereof; an output device, the output device operable to display the one or more digital display media components; a storage device, the storage device operable to record narration relating to the one or more digital display media components and simultaneously to record manual user indications of one or more locations in each of the digital display media components; and a digital multimedia production process, the digital multimedia production process operable to automatically perform cinematic display manipulations to form a digital multimedia production in accordance with the recorded narration and selected digital display media components and regions thereof, the automatically performed cinematic display manipulations including; analyzing the user's indications of the digital display media components and regions; determining cinematic rules corresponding to the user's indications with the digital display media components and regions; applying the cinematic rules to the digital display media components and regions; and performing cinematic image manipulation between the digital display media components or regions based on the applied cinematic rules. 4. The system of claim 1 , the output device further operable to prompt the user to verbally narrate the one or more digital display media components while optionally indicating corresponding regions in the digital display media components. | 0.5 |
7,676,787 | 14 | 15 | 14. The architecture of claim 10 , wherein the designer host interface coordinates utility tasks to the designer and the user interface component. | 14. The architecture of claim 10 , wherein the designer host interface coordinates utility tasks to the designer and the user interface component. 15. The architecture of claim 14 , wherein the utility tasks include at least one of editing, parsing of source code of a text file, compiling, code generating, memory management or disk transfers. | 0.5 |
8,869,019 | 1 | 6 | 1. A method executed by a computing device, comprising: parsing a set of one or more web pages of a website; generating a first plurality of n-grams based on at least content that is included on the set of one or more web pages, wherein n is at least two; determining a relevancy value for each of the first plurality of n-grams; generating a second plurality of n-grams based on at least removing any of the first plurality of n-grams whose corresponding relevancy value is below a relevancy value threshold; for each one of the second plurality of n-grams, determining whether that one of the second plurality of n-grams is similar to another one of the second plurality of n-grams, generating a third plurality of n-grams based on at least removing any of those second plurality of n-grams that have been determined as being similar to another one of the second plurality of n-grams; for at least one of the third plurality of n-grams, determining whether there is at least one of the set of web pages of the website that that is directed at content regarding that n-gram; and responsive to determining that there is not at least one of the set of web pages of the website that is directed at content regarding the at least one of the third plurality of n-grams, performing the following: automatically creating a web page with content directed at the at least one of the third plurality of n-grams, wherein automatically creating the web page includes, using a same template of the website for the created web page, inserting content into the created web page with existing content of the website that is related to the at least one of the third plurality of n-grams, and adding a title for the created web page based on the at least one of the third plurality of n-grams; providing the created web page in a graphical editor for a user to review the created web page; and creating a set of one or more links to the reviewed and created web page on one or more of the set of web pages of the website so that the created web page is not an orphan web page. | 1. A method executed by a computing device, comprising: parsing a set of one or more web pages of a website; generating a first plurality of n-grams based on at least content that is included on the set of one or more web pages, wherein n is at least two; determining a relevancy value for each of the first plurality of n-grams; generating a second plurality of n-grams based on at least removing any of the first plurality of n-grams whose corresponding relevancy value is below a relevancy value threshold; for each one of the second plurality of n-grams, determining whether that one of the second plurality of n-grams is similar to another one of the second plurality of n-grams, generating a third plurality of n-grams based on at least removing any of those second plurality of n-grams that have been determined as being similar to another one of the second plurality of n-grams; for at least one of the third plurality of n-grams, determining whether there is at least one of the set of web pages of the website that that is directed at content regarding that n-gram; and responsive to determining that there is not at least one of the set of web pages of the website that is directed at content regarding the at least one of the third plurality of n-grams, performing the following: automatically creating a web page with content directed at the at least one of the third plurality of n-grams, wherein automatically creating the web page includes, using a same template of the website for the created web page, inserting content into the created web page with existing content of the website that is related to the at least one of the third plurality of n-grams, and adding a title for the created web page based on the at least one of the third plurality of n-grams; providing the created web page in a graphical editor for a user to review the created web page; and creating a set of one or more links to the reviewed and created web page on one or more of the set of web pages of the website so that the created web page is not an orphan web page. 6. The method of claim 1 , wherein determining whether there is at least one of the set of web pages of the website that that is directed at content regarding that n-gram includes analyzing the parsed set of web pages of the website including, determining whether that n-gram is included in a URL of one of the parsed set of web pages; determining whether that n-gram is included in a title of one of the parsed set of web pages; and determining whether that n-gram is included with a frequency over a threshold of a web page. | 0.704826 |
9,141,253 | 11 | 14 | 11. A non-transitory computer-readable storage medium including instructions that, when executed by a processing unit, cause the processing unit to provide help content related to a software application to a user, by performing the steps of: receiving textual input related to a first software application from a first user and comprising help content; receiving first contextual information associated with the first user and related to the first software application; storing, via a processor, the textual input and the first contextual information in a first discussion element; transmitting the first discussion element to a server machine for processing; receiving second contextual information associated with the first user and related to the first software application; transmitting the second contextual information to the server machine; receiving a plurality of discussion elements from the server machine based on the second contextual information, wherein each discussion element included in the plurality of discussion elements stores textual input related to the first software application and contextual information having a measure of correlation to the second contextual information; and causing the textual input stored in at least one discussion element included in the plurality of discussion elements to be displayed to the first user based on a relevance score associated with the at least one discussion element, wherein the relevance score is based on the measure of correlation between the second contextual information and the contextual information stored in the at least one discussion element. | 11. A non-transitory computer-readable storage medium including instructions that, when executed by a processing unit, cause the processing unit to provide help content related to a software application to a user, by performing the steps of: receiving textual input related to a first software application from a first user and comprising help content; receiving first contextual information associated with the first user and related to the first software application; storing, via a processor, the textual input and the first contextual information in a first discussion element; transmitting the first discussion element to a server machine for processing; receiving second contextual information associated with the first user and related to the first software application; transmitting the second contextual information to the server machine; receiving a plurality of discussion elements from the server machine based on the second contextual information, wherein each discussion element included in the plurality of discussion elements stores textual input related to the first software application and contextual information having a measure of correlation to the second contextual information; and causing the textual input stored in at least one discussion element included in the plurality of discussion elements to be displayed to the first user based on a relevance score associated with the at least one discussion element, wherein the relevance score is based on the measure of correlation between the second contextual information and the contextual information stored in the at least one discussion element. 14. The non-transitory computer-readable storage medium of claim 11 , further comprising storing at least one of an application screenshot and a user design file in the first discussion element. | 0.81903 |
9,342,628 | 13 | 15 | 13. A non-transitory, computer storage medium comprising data embedded therein to cause a computer system to generate one or more attribute prioritized configuration answers to one or more attribute-based configuration queries, wherein the data comprises code that is executable by a processor of the computer system to configure the computer system into a machine for: receiving one or more attribute-based configuration queries from a client system; processing the one or more attribute-based configuration queries, configuration rules, and attribute based preference algorithm using a combined configuration rules-attributes model and a configuration-rules processing engine to calculate valid configuration answers in accordance with the combined configuration rules-attributes model, wherein a plurality of the configuration rules define relationships between parts of the product and a plurality of attributes represent details about the parts; predetermining values of one or more combinations of attributes associated with respective configuration answers; storing the predetermined values; retrieving the stored predetermined values associated with a particular valid configuration answer if the particular valid configuration is an answer to one or more of the attribute-based configuration queries; receiving a selection of at least one of the one or more product attributes to be prioritized; prioritizing the valid configuration answers by one or more of the plurality of attributes in the combined configuration rules-attributes model; and providing at least a subset of the valid configuration answers over a communications network to the client system to enable an application program of the client server to present at least the subset of the valid configuration answers, wherein the provided valid configuration answers are prioritized by one or more of the plurality of attributes. | 13. A non-transitory, computer storage medium comprising data embedded therein to cause a computer system to generate one or more attribute prioritized configuration answers to one or more attribute-based configuration queries, wherein the data comprises code that is executable by a processor of the computer system to configure the computer system into a machine for: receiving one or more attribute-based configuration queries from a client system; processing the one or more attribute-based configuration queries, configuration rules, and attribute based preference algorithm using a combined configuration rules-attributes model and a configuration-rules processing engine to calculate valid configuration answers in accordance with the combined configuration rules-attributes model, wherein a plurality of the configuration rules define relationships between parts of the product and a plurality of attributes represent details about the parts; predetermining values of one or more combinations of attributes associated with respective configuration answers; storing the predetermined values; retrieving the stored predetermined values associated with a particular valid configuration answer if the particular valid configuration is an answer to one or more of the attribute-based configuration queries; receiving a selection of at least one of the one or more product attributes to be prioritized; prioritizing the valid configuration answers by one or more of the plurality of attributes in the combined configuration rules-attributes model; and providing at least a subset of the valid configuration answers over a communications network to the client system to enable an application program of the client server to present at least the subset of the valid configuration answers, wherein the provided valid configuration answers are prioritized by one or more of the plurality of attributes. 15. The non-transitory computer storage medium of claim 13 wherein the code for providing at least a subset of the valid configuration answers to the client system further comprises code for providing a predetermined number of attribute-prioritized valid configuration answers to a user. | 0.681111 |
9,737,759 | 7 | 9 | 7. The method of claim 1 , wherein said searching for an exercise quantity value and an exercise quantity unit comprises performing a fuzzy logic search of said parsed text for a textual number or a numeric value, and upon finding said textual number or numeric value, performing a further fuzzy logic search of said parsed text for a match of a quantity unit term directly following said textual number or numeric quantity and, if found, assigning said textual number or numeric quantity to said exercise quantity value and assigning said quantity unit term to said exercise quantity unit. | 7. The method of claim 1 , wherein said searching for an exercise quantity value and an exercise quantity unit comprises performing a fuzzy logic search of said parsed text for a textual number or a numeric value, and upon finding said textual number or numeric value, performing a further fuzzy logic search of said parsed text for a match of a quantity unit term directly following said textual number or numeric quantity and, if found, assigning said textual number or numeric quantity to said exercise quantity value and assigning said quantity unit term to said exercise quantity unit. 9. The method of claim 7 , wherein upon not finding said written number or numeric quantity, performing a further fuzzy logic search of said parsed text for a match of a quantity unit term, and, if found, assigning said quantity unit term to said exercise quantity unit, and, if not found, searching a user data history for said user for a most recently tracked exercise quantity unit for said exercise to be tracked, and setting the exercise quantity unit for said exercise to be tracked to be the most recently tracked exercise quantity unit. | 0.5 |
7,844,607 | 2 | 3 | 2. The system of claim 1 , wherein the annotation system provides an annotation creating interface allowing a user to create an annotation for a query component selected from the query building interface. | 2. The system of claim 1 , wherein the annotation system provides an annotation creating interface allowing a user to create an annotation for a query component selected from the query building interface. 3. The system of claim 2 , wherein the annotation creating interface is accessible from the query building interface. | 0.847258 |
8,032,550 | 11 | 13 | 11. A system comprising: data storage to store a main search index; and a main server coupled to the main search index to receive a search request including a keyword, hash the keyword with a plurality of hash functions to obtain a sequence of hash values, perform a search based on the main search index and a sequence of hash values, and return a search result to include identifiers of documents that contain the keyword. | 11. A system comprising: data storage to store a main search index; and a main server coupled to the main search index to receive a search request including a keyword, hash the keyword with a plurality of hash functions to obtain a sequence of hash values, perform a search based on the main search index and a sequence of hash values, and return a search result to include identifiers of documents that contain the keyword. 13. The system of claim 11 , wherein each search index is indexed by a corresponding hash value in the sequence, and the last hash value points to an entry of the last search index that provides a reference to the identifiers of documents that contain the keyword. | 0.652632 |
8,359,285 | 4 | 5 | 4. The system of claim 1 , wherein the logic that identifies at least one item review relevant to the user submitted query further comprises logic that performs natural language processing on the user submitted query and the item reviews associated with the items. | 4. The system of claim 1 , wherein the logic that identifies at least one item review relevant to the user submitted query further comprises logic that performs natural language processing on the user submitted query and the item reviews associated with the items. 5. The method of claim 4 , wherein the logic that performs natural language processing further comprises logic that performs sentiment analysis to identify at least one item review expressing sentiment substantially similar to the user submitted query. | 0.5 |
8,605,996 | 7 | 11 | 7. One or more memory devices storing computer-executable instructions that, when executed on one or more processors, performs acts comprising: selecting at least two source domains, each source domain including a trained classifier associated therewith, the at least two source domains being used to assist in training a target classifier associated with a target domain; selecting common identifiers from each trained classifier in each of the at least two source domains, the common identifiers having sentiment predictive capability of opinion data across multiple domains; importing the common identifiers from each trained classifier to the target classifier; and categorizing the opinion data with the target classifier within the target domain using the common identifiers. | 7. One or more memory devices storing computer-executable instructions that, when executed on one or more processors, performs acts comprising: selecting at least two source domains, each source domain including a trained classifier associated therewith, the at least two source domains being used to assist in training a target classifier associated with a target domain; selecting common identifiers from each trained classifier in each of the at least two source domains, the common identifiers having sentiment predictive capability of opinion data across multiple domains; importing the common identifiers from each trained classifier to the target classifier; and categorizing the opinion data with the target classifier within the target domain using the common identifiers. 11. The one or more memory devices as recited in claim 7 , wherein the acts further comprise selecting additional common identifiers from at least one other source domain and importing the additional common identifiers to the target classifier. | 0.689567 |
9,361,386 | 10 | 13 | 10. An apparatus comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: receive an input question for generation of an answer to the input question; generate a set of candidate answers for the input question based on an analysis of a corpus of information, wherein each candidate answer in the set of candidate answers corresponds to an evidence passage supporting the candidate answer as answering the input question; determine, based on the set of candidate answers, whether clarification of the input question is required; identify, in response to a determination that clarification of the input question is required, a differentiating factor in evidence passages of at least two candidate answers in the set of candidate answers; send, in response to a determination that clarification of the input question is required, a request for user input to clarify the input question, wherein the request for user input is generated based on the identified differentiating factor; receive user input from the computing device in response to the request; and select at least one candidate answer in the set of candidate answers as an answer for the input question based on the user input wherein identifying a differentiating factor in evidence passages of at least two candidate answers in the set of candidate answers comprises: identifying a plurality of differentiating factors between evidence passages of the at least two candidate answers; and selecting a subset of differentiating factors from the plurality of differentiating factors based on an evaluation of which differentiating factors in the plurality of differentiating factors clarify the input question. | 10. An apparatus comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to: receive an input question for generation of an answer to the input question; generate a set of candidate answers for the input question based on an analysis of a corpus of information, wherein each candidate answer in the set of candidate answers corresponds to an evidence passage supporting the candidate answer as answering the input question; determine, based on the set of candidate answers, whether clarification of the input question is required; identify, in response to a determination that clarification of the input question is required, a differentiating factor in evidence passages of at least two candidate answers in the set of candidate answers; send, in response to a determination that clarification of the input question is required, a request for user input to clarify the input question, wherein the request for user input is generated based on the identified differentiating factor; receive user input from the computing device in response to the request; and select at least one candidate answer in the set of candidate answers as an answer for the input question based on the user input wherein identifying a differentiating factor in evidence passages of at least two candidate answers in the set of candidate answers comprises: identifying a plurality of differentiating factors between evidence passages of the at least two candidate answers; and selecting a subset of differentiating factors from the plurality of differentiating factors based on an evaluation of which differentiating factors in the plurality of differentiating factors clarify the input question. 13. The apparatus of claim 10 , wherein the request for user input comprises a clarification question that is directed to the differentiating factor and a free-form text entry field into which a user may input a textual answer to the clarification question. | 0.671355 |
8,850,306 | 15 | 20 | 15. An article of manufacture comprising a storage medium containing instructions that when executed cause a system to: present an enhanced repeating section content control with formatted content in a document, wherein the enhanced repeating section content control placed around at least one of a: paragraph, a row, and a table in a document part, and is operative to insert a cloned copy of the enhanced repeating section content control into the document part in response to receiving a control directive at the enhanced repeating section content control; receive control directives to modify the formatted content; and synchronize changes to the formatted content between the enhanced repeating section content control and a custom extensible markup language (XML) part associated with the document. | 15. An article of manufacture comprising a storage medium containing instructions that when executed cause a system to: present an enhanced repeating section content control with formatted content in a document, wherein the enhanced repeating section content control placed around at least one of a: paragraph, a row, and a table in a document part, and is operative to insert a cloned copy of the enhanced repeating section content control into the document part in response to receiving a control directive at the enhanced repeating section content control; receive control directives to modify the formatted content; and synchronize changes to the formatted content between the enhanced repeating section content control and a custom extensible markup language (XML) part associated with the document. 20. The article of manufacture of claim 15 , further comprising instructions that when executed cause the system to: serialize XML elements of the formatted content to form a string of XML elements; remove reserved XML characters from the string of XML elements; and store text from the XML elements in the XML part. | 0.583113 |
9,158,768 | 1 | 7 | 1. A system comprising: one or more processors; a dictionary generator module, implemented using the one or more processors, configured to generate dictionary information that corresponds to a first user, the dictionary information includes a first list of compatible query operators and a description of compatible data types that correspond to each operator in the first list of compatible query operators; a query receiver module, implemented using the one or more processors, configured to receive, from the first user, a search query to search for document information in a database, the database includes an inverted index; a query verification module, implemented using the one or more processors, configured to determine that terms of the search query from the first user are in accordance with the dictionary information that corresponds to the first user; a query processing module, implemented using the one or more processors, configured to apply the search query to the inverted index in the database to identify the document information; and an presentation module, implemented using the one or more processors, configured to send the document information to the first user. | 1. A system comprising: one or more processors; a dictionary generator module, implemented using the one or more processors, configured to generate dictionary information that corresponds to a first user, the dictionary information includes a first list of compatible query operators and a description of compatible data types that correspond to each operator in the first list of compatible query operators; a query receiver module, implemented using the one or more processors, configured to receive, from the first user, a search query to search for document information in a database, the database includes an inverted index; a query verification module, implemented using the one or more processors, configured to determine that terms of the search query from the first user are in accordance with the dictionary information that corresponds to the first user; a query processing module, implemented using the one or more processors, configured to apply the search query to the inverted index in the database to identify the document information; and an presentation module, implemented using the one or more processors, configured to send the document information to the first user. 7. The system of claim 1 , wherein the query verification module is configured to determine that an operator in the search query is included in the first list of compatible query operators. | 0.829114 |
9,852,731 | 15 | 19 | 15. One or more non-transitory computer-readable storage media storing computer-executable instructions for causing a computing device to: while the computing device is in a low-power state: receive audio input from a user at the computing device; and determine that the audio input comprises a wake phrase; transition the computing device from the low-power state to an active state if the audio input comprises the wake phrase; while the computing device is in the low-power state or the active state: attempt to verify the user based at least in part on a first portion of the audio input comprising the wake phrase; and while the computing device is in the active state: interpret a second portion of the audio input not comprising the wake phrase as a command to launch an application on the computing device; and launch the application at the computing device when the command is a user agnostic command or not launch the application when the command is not a user agnostic command, wherein a user agnostic command comprises a command that does not require identifying information or personal data of the user. | 15. One or more non-transitory computer-readable storage media storing computer-executable instructions for causing a computing device to: while the computing device is in a low-power state: receive audio input from a user at the computing device; and determine that the audio input comprises a wake phrase; transition the computing device from the low-power state to an active state if the audio input comprises the wake phrase; while the computing device is in the low-power state or the active state: attempt to verify the user based at least in part on a first portion of the audio input comprising the wake phrase; and while the computing device is in the active state: interpret a second portion of the audio input not comprising the wake phrase as a command to launch an application on the computing device; and launch the application at the computing device when the command is a user agnostic command or not launch the application when the command is not a user agnostic command, wherein a user agnostic command comprises a command that does not require identifying information or personal data of the user. 19. The one or more computer-readable storage media of claim 15 , further comprising computer-executable instructions for causing the computing device to: interpret a second audio input comprising the wake phrase as a second command to be executed by the computing device; and perform the second command at the computing device. | 0.600973 |
8,738,552 | 17 | 20 | 17. A non-transitory computer readable medium having stored therein instructions that, upon execution, cause one or more computer processors to: receive, by one or more computer processors via a communications network, data indicative of an insurance claim; identify, by the one or more computer processors, one or more terms and phrases within the data indicative of the insurance claim; compare, by the one or more computer processors, the identified one or more terms and phrases of the data indicative of the insurance claim to an index of synonym groups stored within a database, wherein each synonym group is associated with a concept and each synonym group comprises one or more terms or phrases that are associated with the concept; identify, by the one or more computer processors, one or more concepts associated with the insurance claim based on said comparison; generate, by the one or more computer processors, a score associated with the insurance claim based on said comparison and said identified one or more concepts; and compare said score with a threshold to determine whether performance of one or more additional tasks relating to the insurance claim is required. | 17. A non-transitory computer readable medium having stored therein instructions that, upon execution, cause one or more computer processors to: receive, by one or more computer processors via a communications network, data indicative of an insurance claim; identify, by the one or more computer processors, one or more terms and phrases within the data indicative of the insurance claim; compare, by the one or more computer processors, the identified one or more terms and phrases of the data indicative of the insurance claim to an index of synonym groups stored within a database, wherein each synonym group is associated with a concept and each synonym group comprises one or more terms or phrases that are associated with the concept; identify, by the one or more computer processors, one or more concepts associated with the insurance claim based on said comparison; generate, by the one or more computer processors, a score associated with the insurance claim based on said comparison and said identified one or more concepts; and compare said score with a threshold to determine whether performance of one or more additional tasks relating to the insurance claim is required. 20. The non-transitory computer readable medium of claim 17 , wherein the one or more additional tasks comprise generating reports including the generated score and routing the insurance claim to one or more of a litigation department, a collection specialist, a subrogation specialist, and a case manager. | 0.673077 |
9,111,549 | 11 | 12 | 11. The method according to claim 10 , wherein the step of detecting a first dominating frequency and a second dominating frequency in the input signal involves deriving a first notch gradient and a second notch gradient from the input signal. | 11. The method according to claim 10 , wherein the step of detecting a first dominating frequency and a second dominating frequency in the input signal involves deriving a first notch gradient and a second notch gradient from the input signal. 12. The method according to claim 11 , wherein the step of determining the presence of a fixed relationship between the first dominating frequency and the second dominating frequency in the input signal involves combining the first notch gradient and the second notch gradient into a combined gradient and using the combined gradient for shifting the first frequency range of the input signal to the second frequency range of the input signal. | 0.5 |
8,589,162 | 1 | 9 | 1. A method for speech recognition, the method comprising: for an expected input string comprising a plurality of expected string segments comprising a first expected string segment and a second expected string segment, receiving a first speech segment for the first expected string segment and a second speech segment for the second expected string segment, wherein the first speech segment is different from the second speech segment; performing speech recognition separately on the first speech segment and the second speech segment, wherein said performing speech recognition comprises generating a first segment n-best list and a second segment n-best list, the first segment n-best list comprising n highest confidence score results of said speech recognition on the first speech segment and the second segment n-best list comprising n highest confidence score results of said speech recognition on the second speech segment, where n comprises at least one integer; generating a global n-best list corresponding to said expected input string, wherein the global n-best list comprises a plurality of results each generated at least in part by combining a result from said first segment n-best list with a result from said second segment n-best list; and determining a final global speech recognition result corresponding to said expected input string, wherein said determining said final global speech recognition result comprises pruning results of said global n-best list utilizing a pruning criterion. | 1. A method for speech recognition, the method comprising: for an expected input string comprising a plurality of expected string segments comprising a first expected string segment and a second expected string segment, receiving a first speech segment for the first expected string segment and a second speech segment for the second expected string segment, wherein the first speech segment is different from the second speech segment; performing speech recognition separately on the first speech segment and the second speech segment, wherein said performing speech recognition comprises generating a first segment n-best list and a second segment n-best list, the first segment n-best list comprising n highest confidence score results of said speech recognition on the first speech segment and the second segment n-best list comprising n highest confidence score results of said speech recognition on the second speech segment, where n comprises at least one integer; generating a global n-best list corresponding to said expected input string, wherein the global n-best list comprises a plurality of results each generated at least in part by combining a result from said first segment n-best list with a result from said second segment n-best list; and determining a final global speech recognition result corresponding to said expected input string, wherein said determining said final global speech recognition result comprises pruning results of said global n-best list utilizing a pruning criterion. 9. The method according to claim 1 , further comprising: prompting a speaker to repeat a speech segment in response to a determination that speech recognition performed on said speech segment fails to meet a predetermined accuracy threshold. | 0.755081 |
7,831,529 | 1 | 2 | 1. An automated communications system, comprising: a notification manager that receives one or more items and processes the one or more items via learning algorithms to direct the one or more items to a user; a language component that provides at least one user interface that receives one or more user inputs to at least one of control, adjust and tune at least one value of at least one attribute of the one or more items representing user preferences regarding computing a priority score for directing the one or more items to the user, wherein the at least one user interface facilitates a plurality of definitions, selections and controls that provide indications of the user preferences, wherein the at least one user interface allows the user to adjust a value of the priority score based on adjusting the at least one value of the at least one attribute; and a preference component that receives the user preferences as output from the language component to influence automated learning processes that direct delivery of the one or more items to the user. | 1. An automated communications system, comprising: a notification manager that receives one or more items and processes the one or more items via learning algorithms to direct the one or more items to a user; a language component that provides at least one user interface that receives one or more user inputs to at least one of control, adjust and tune at least one value of at least one attribute of the one or more items representing user preferences regarding computing a priority score for directing the one or more items to the user, wherein the at least one user interface facilitates a plurality of definitions, selections and controls that provide indications of the user preferences, wherein the at least one user interface allows the user to adjust a value of the priority score based on adjusting the at least one value of the at least one attribute; and a preference component that receives the user preferences as output from the language component to influence automated learning processes that direct delivery of the one or more items to the user. 2. The system of claim 1 , the one or more items include at least one selected from the group consisting of a message, a notification, a voice message, web information, an e-mail, pager information, an image, an audio file, a video, an alert, and content provided from a web service. | 0.518707 |
9,930,167 | 1 | 3 | 1. A mobile device for improving identification of multimedia content for inclusion in a messaging conversation, comprising: a memory; and a processor, coupled to the memory, to: provide, for display, a messaging application user interface of a messaging application, the messaging application being for one or more of instant messages, short messaging service (SMS) messages, enhanced messaging service (EMS) messages, or multimedia message service (MMS) messages, and the messaging application user interface comprising a text entry box, a submit button, and a messaging conversation display region; receive, in the text entry box, a text input; determine, using the messaging application, that the text input includes a search function indicator; replace, based on determining that the text input includes the search function indicator, the submit button with a search button; invoke, based on receiving a selection of the search button, a search application provided by the mobile device; provide one or more search terms, determined from the text input, to the invoked search application; identify, after providing the one or more search terms, one or more search results based on the search application using a particular search engine to search the Internet, the particular search engine being previously selected by a user of the mobile device; provide, for display, a menu of the one or more search results in the messaging application user interface, the one or more search results including a particular search result for the multimedia content; receive information identifying a selection of the particular search result from the menu of the one or more search results; incorporate, based on the information identifying the selection of the particular search result, the multimedia content, of the particular search result, into a portion of the text input received in the text entry box of the messaging application user interface; and replace the search button with the submit button in the messaging application user interface. | 1. A mobile device for improving identification of multimedia content for inclusion in a messaging conversation, comprising: a memory; and a processor, coupled to the memory, to: provide, for display, a messaging application user interface of a messaging application, the messaging application being for one or more of instant messages, short messaging service (SMS) messages, enhanced messaging service (EMS) messages, or multimedia message service (MMS) messages, and the messaging application user interface comprising a text entry box, a submit button, and a messaging conversation display region; receive, in the text entry box, a text input; determine, using the messaging application, that the text input includes a search function indicator; replace, based on determining that the text input includes the search function indicator, the submit button with a search button; invoke, based on receiving a selection of the search button, a search application provided by the mobile device; provide one or more search terms, determined from the text input, to the invoked search application; identify, after providing the one or more search terms, one or more search results based on the search application using a particular search engine to search the Internet, the particular search engine being previously selected by a user of the mobile device; provide, for display, a menu of the one or more search results in the messaging application user interface, the one or more search results including a particular search result for the multimedia content; receive information identifying a selection of the particular search result from the menu of the one or more search results; incorporate, based on the information identifying the selection of the particular search result, the multimedia content, of the particular search result, into a portion of the text input received in the text entry box of the messaging application user interface; and replace the search button with the submit button in the messaging application user interface. 3. The mobile device of claim 1 , wherein the processor is further to: determine that the search function indicator was received by parsing the text input to identify the search function indicator or by identifying the text input as a selection of a search key. | 0.688544 |
9,424,841 | 16 | 20 | 16. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving, by a computing device, audio data that corresponds to an utterance; determining that the utterance likely includes a particular, predefined hotword; in response to determining that the utterance likely includes the particular, predefined hotword, determining score that reflects a loudness of the audio data; determining a duration of a delay period, wherein the duration of the delay period is inversely proportional to the loudness of the audio data; activating a mode in which the computing device temporarily listens, for the duration of the delay period, for a predetermined audio signal that indicates that another computing device is commencing speech recognition processing on the audio data; after the duration of the delay period has elapsed without hearing the predetermined audio signal from another computing device, deactivating the mode and transmitting the predetermined audio signal that indicates that the computing device is commencing speech recognition processing on the audio data; and after transmitting the predetermined audio signal, processing at least a portion of the audio data using an automated speech recognizer on the computing device. | 16. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving, by a computing device, audio data that corresponds to an utterance; determining that the utterance likely includes a particular, predefined hotword; in response to determining that the utterance likely includes the particular, predefined hotword, determining score that reflects a loudness of the audio data; determining a duration of a delay period, wherein the duration of the delay period is inversely proportional to the loudness of the audio data; activating a mode in which the computing device temporarily listens, for the duration of the delay period, for a predetermined audio signal that indicates that another computing device is commencing speech recognition processing on the audio data; after the duration of the delay period has elapsed without hearing the predetermined audio signal from another computing device, deactivating the mode and transmitting the predetermined audio signal that indicates that the computing device is commencing speech recognition processing on the audio data; and after transmitting the predetermined audio signal, processing at least a portion of the audio data using an automated speech recognizer on the computing device. 20. The medium of claim 16 , wherein the predetermined audio signal is received by another computing device and indicates to the other computing device to not commence speech recognition processing on the audio data. | 0.915294 |
10,049,380 | 11 | 13 | 11. A non-transitory computer readable medium storing instructions causing a processor to: receive, for each of a plurality of publications, a set of comments provided for the publication; receive training data that specifies controversial features; for each comment included in each set of comments, identify i) at least one controversial feature included in the comment, or ii) at least one non-controversial feature included in the comment, the identification being based on the training data; generate a controversy classifier that i) accepts, as input, a particular set of comments for a particular publication and ii) produces, as output and for each comment in the particular set of comments, data indicating a measure of controversy for the comment; receive and store a second set of comments about a second publication; extract features associated with the second set of comments; using the extracted features and the classifier, classify each of the second set of comments as controversial or non-controversial; based on a percentage of comments classified as controversial, determine whether the second publication is controversial; and provide an indication that the second publication is determined to be controversial or non-controversial. | 11. A non-transitory computer readable medium storing instructions causing a processor to: receive, for each of a plurality of publications, a set of comments provided for the publication; receive training data that specifies controversial features; for each comment included in each set of comments, identify i) at least one controversial feature included in the comment, or ii) at least one non-controversial feature included in the comment, the identification being based on the training data; generate a controversy classifier that i) accepts, as input, a particular set of comments for a particular publication and ii) produces, as output and for each comment in the particular set of comments, data indicating a measure of controversy for the comment; receive and store a second set of comments about a second publication; extract features associated with the second set of comments; using the extracted features and the classifier, classify each of the second set of comments as controversial or non-controversial; based on a percentage of comments classified as controversial, determine whether the second publication is controversial; and provide an indication that the second publication is determined to be controversial or non-controversial. 13. The non-transitory computer readable medium of claim 11 , wherein at least a portion of the plurality of comments were provided by distinct entities. | 0.661504 |
7,742,922 | 29 | 36 | 29. A computing system comprising: a memory configured to store instructions; and a processor configured to execute the instructions to: receive voiced utterances from a user; convert said voiced utterances into data; identify from said data, information including: (i) a query term to be searched for of a plurality of query terms to be searched for, (ii) a search engine identifier of a plurality of search engines identifiers representing a search engine of a plurality of search engines; modify said query term to be searched for of a plurality of query terms to be searched for by replacing any spaces in said query term to be searched for of a plurality of query terms to be searched for with a query term separator compatible with said search engine of a plurality of search engines, creating a modified query term to be searched for; construct a uniform resource locator that includes said modified query term to be searched for, such that said constructed uniform resource locator represents a valid request to said search engine of a plurality of search engines to perform a search; open said constructed uniform resource locator, via a uniform resource locator transmission method. | 29. A computing system comprising: a memory configured to store instructions; and a processor configured to execute the instructions to: receive voiced utterances from a user; convert said voiced utterances into data; identify from said data, information including: (i) a query term to be searched for of a plurality of query terms to be searched for, (ii) a search engine identifier of a plurality of search engines identifiers representing a search engine of a plurality of search engines; modify said query term to be searched for of a plurality of query terms to be searched for by replacing any spaces in said query term to be searched for of a plurality of query terms to be searched for with a query term separator compatible with said search engine of a plurality of search engines, creating a modified query term to be searched for; construct a uniform resource locator that includes said modified query term to be searched for, such that said constructed uniform resource locator represents a valid request to said search engine of a plurality of search engines to perform a search; open said constructed uniform resource locator, via a uniform resource locator transmission method. 36. The apparatus of claim 29 , wherein the computing system is a device that retrieves, stores and plays audio. | 0.5 |
9,652,496 | 13 | 16 | 13. A system comprising: one or more first computers and one or more first storage devices storing instructions that are operable, when executed by the one or more first computers, to cause the one or more first computers to implement a select operator node that is operable to request, from a first table, one or more tuples having respective values according to a predicate expression in a query; one or more second computers and one or more second storage devices storing instructions that are operable, when executed by the one or more second computers, to cause the one or more second computers to implement a partition selector node that is operable to determine, from the predicate expression in the query according to a partition selection function, one or more partitions of a table that may include tuples having respective values that satisfy the predicate expression and provides respective identifiers for the one or more partitions to a dynamic scanner node; one or more third computers and one or more third storage devices storing instructions that are operable, when executed by the one or more third computers, to cause the one or more third computers to implement a dynamic scanner node that is operable to receive, from the partition selector node, respective identifiers of the one or more partitions, obtains tuples of the one or more partitions from storage, and provides the one or more obtained tuples to the select operator node; and one or more fourth computers and one or more fourth storage devices storing instructions that are operable, when executed by the one or more fourth computers, to cause the one or more fourth computers to implement a master node that is operable to generate, using a representation of a query plan for the query, a modified query plan for the query that comprises a plurality of operators that, when executed by one or more computing nodes, cause the one or more computing nodes to compute a result for the query, wherein the modified query plan includes a select operator that represents the select operator node, a partition selector operator that represents the partition selector node, and a dynamic scan operator that represents the dynamic scanner node; and wherein the master node is operable to generate the modified query plan by determining a location in the query plan for the partition selector operator by performing operations comprising: determining, for each operator of a subset of operators in the query plan, whether the dynamic scan operator occurs in a subtree of the query plan that is rooted at the respective operator of the subset of operators; determining, using results of the determinations of whether the dynamic scan operator occurs in a subtree of the query plan that is rooted at the respective operator of the subset of operators, a first operator in the query plan that is i) a parent operator of the partition selector operator and the dynamic scan operator or ii) a child operator of the partition selector operator; and determining, using the first operator, the location in the query plan for the partition selector operator. | 13. A system comprising: one or more first computers and one or more first storage devices storing instructions that are operable, when executed by the one or more first computers, to cause the one or more first computers to implement a select operator node that is operable to request, from a first table, one or more tuples having respective values according to a predicate expression in a query; one or more second computers and one or more second storage devices storing instructions that are operable, when executed by the one or more second computers, to cause the one or more second computers to implement a partition selector node that is operable to determine, from the predicate expression in the query according to a partition selection function, one or more partitions of a table that may include tuples having respective values that satisfy the predicate expression and provides respective identifiers for the one or more partitions to a dynamic scanner node; one or more third computers and one or more third storage devices storing instructions that are operable, when executed by the one or more third computers, to cause the one or more third computers to implement a dynamic scanner node that is operable to receive, from the partition selector node, respective identifiers of the one or more partitions, obtains tuples of the one or more partitions from storage, and provides the one or more obtained tuples to the select operator node; and one or more fourth computers and one or more fourth storage devices storing instructions that are operable, when executed by the one or more fourth computers, to cause the one or more fourth computers to implement a master node that is operable to generate, using a representation of a query plan for the query, a modified query plan for the query that comprises a plurality of operators that, when executed by one or more computing nodes, cause the one or more computing nodes to compute a result for the query, wherein the modified query plan includes a select operator that represents the select operator node, a partition selector operator that represents the partition selector node, and a dynamic scan operator that represents the dynamic scanner node; and wherein the master node is operable to generate the modified query plan by determining a location in the query plan for the partition selector operator by performing operations comprising: determining, for each operator of a subset of operators in the query plan, whether the dynamic scan operator occurs in a subtree of the query plan that is rooted at the respective operator of the subset of operators; determining, using results of the determinations of whether the dynamic scan operator occurs in a subtree of the query plan that is rooted at the respective operator of the subset of operators, a first operator in the query plan that is i) a parent operator of the partition selector operator and the dynamic scan operator or ii) a child operator of the partition selector operator; and determining, using the first operator, the location in the query plan for the partition selector operator. 16. The system of claim 13 , wherein: the table is a multilevel partitioned table, the predicate expression references a first partitioning key of the table, the query includes a second predicate expression on a second partitioning key of the table, and the partition selector node determines, by providing the predicate expression and the second predicate expression as input to the partition selection function, one or more partitions of the table that may include tuples having respective values that satisfy the predicate expression and the second predicate expression. | 0.5 |
9,043,338 | 23 | 26 | 23. The system of claim 16 , wherein determining a rank score for each of the two or more distinct book content items comprises: representing the two or more distinct book content items as a graph in computer memory, where each of the distinct book content items is represented as a distinct node in the graph and where an edge exists in the graph between each pair of distinct nodes that represent distinct book content items that both include a similar image; and determining a rank score for each of the two or more distinct book content items based on the edges between the distinct nodes. | 23. The system of claim 16 , wherein determining a rank score for each of the two or more distinct book content items comprises: representing the two or more distinct book content items as a graph in computer memory, where each of the distinct book content items is represented as a distinct node in the graph and where an edge exists in the graph between each pair of distinct nodes that represent distinct book content items that both include a similar image; and determining a rank score for each of the two or more distinct book content items based on the edges between the distinct nodes. 26. The system of claim 23 , wherein the graph is a weighted graph including a plurality of distinct nodes, each distinct node representing a corresponding distinct book content item in the plurality of distinct book content items, each edge in the weighted graph being weighted based on a relative importance of the distinct node from which the edge originates. | 0.5 |
7,599,957 | 1 | 2 | 1. A surveillance and sensor application system comprising a metadata database adaptor embodiment as computer executable instructions on a memory of a computing device comprising: at least two applications, including at least one of a surveillance application or a sensor network application, wherein the applications produce metadata messages of varying formats; at least two metadata databases storing the metadata messages of varying formats, and at least two metadata database adaptors associated with the metadata databases and adapting the metadata messages of varying formats according to the needs of their respective databases; an adaptor interface, embodiment as computer executable instructions on a memory of a computing device and executed by a processor, connecting with one or more applications and receiving metadata messages from the applications, wherein the metadata messages describe surveillance data obtained by a surveillance device, wherein the surveillance device monitors a security site to obtain the surveillance data; a metadata database interface connecting with a metadata database device; and one or more functional modules adapting metadata messages of varying formats according to needs of the metadata database, wherein at least one of the functional modules employs a metadata data model template that allows a user to define a data definition that is used to map user defined data with the metadata data model template and form XML data schema so that template mapping knowledge can then be applied for fast XML data schema to non-XML database schema generation without translation processing, wherein at least one of the functional modules utilizes metadata data model template to operate the metadata database device to generate the non-XML database schema; and wherein at least on of the functional modules employs an application domain template that allows the user to define a query definition that can then be processed with a mapping of the application domain template to translate a query of a first query language to a database query of a second query language. | 1. A surveillance and sensor application system comprising a metadata database adaptor embodiment as computer executable instructions on a memory of a computing device comprising: at least two applications, including at least one of a surveillance application or a sensor network application, wherein the applications produce metadata messages of varying formats; at least two metadata databases storing the metadata messages of varying formats, and at least two metadata database adaptors associated with the metadata databases and adapting the metadata messages of varying formats according to the needs of their respective databases; an adaptor interface, embodiment as computer executable instructions on a memory of a computing device and executed by a processor, connecting with one or more applications and receiving metadata messages from the applications, wherein the metadata messages describe surveillance data obtained by a surveillance device, wherein the surveillance device monitors a security site to obtain the surveillance data; a metadata database interface connecting with a metadata database device; and one or more functional modules adapting metadata messages of varying formats according to needs of the metadata database, wherein at least one of the functional modules employs a metadata data model template that allows a user to define a data definition that is used to map user defined data with the metadata data model template and form XML data schema so that template mapping knowledge can then be applied for fast XML data schema to non-XML database schema generation without translation processing, wherein at least one of the functional modules utilizes metadata data model template to operate the metadata database device to generate the non-XML database schema; and wherein at least on of the functional modules employs an application domain template that allows the user to define a query definition that can then be processed with a mapping of the application domain template to translate a query of a first query language to a database query of a second query language. 2. The system of claim 1 , wherein the at least two metadata database adaptors include a regular metadata database adaptor and a master metadata database adaptor, wherein the regular metadata database adaptor contains a collection template manager module that manages collection, creation, modification, and deletion in its respective metadata database, and posts collection registration to the master metadata database adaptor. | 0.510297 |
9,535,945 | 1 | 3 | 1. A system comprising: network communications circuitry, configured to: receive a search query from a client device, over a network; communicate an entity search result to the client device over the network; search engine circuitry communicatively coupled to the network communications circuitry, the search engine circuitry comprising a processor, the processor configured to: execute the search query on an entity search database, wherein the entity search database comprises a plurality of entity circuitries, wherein individual ones of the entity circuitries comprises a single root object for a single person entity, a single place entity, or a single thing entity that is different from other individual ones of the entity circuitries; identify an entity indicator in the search query, according to the execution of the search query on the entity search database; identify the entity search result, according to the entity indicator; identify an additional query part besides the entity indicator in the search query, according to the execution of the search query on the entity search database; execute a non-entity query using the additional query part on a non-entity search database with respect to the entity search result, wherein the non-entity search database comprises multiple root objects for a single person entity, a single place entity, or a single thing entity; identify one or more non-entity search results, according to the execution of the non-entity query; alter a display of the entity search result to include the one or more non-entity search results; and emphasize the one or more non-entity search results in the entity search result. | 1. A system comprising: network communications circuitry, configured to: receive a search query from a client device, over a network; communicate an entity search result to the client device over the network; search engine circuitry communicatively coupled to the network communications circuitry, the search engine circuitry comprising a processor, the processor configured to: execute the search query on an entity search database, wherein the entity search database comprises a plurality of entity circuitries, wherein individual ones of the entity circuitries comprises a single root object for a single person entity, a single place entity, or a single thing entity that is different from other individual ones of the entity circuitries; identify an entity indicator in the search query, according to the execution of the search query on the entity search database; identify the entity search result, according to the entity indicator; identify an additional query part besides the entity indicator in the search query, according to the execution of the search query on the entity search database; execute a non-entity query using the additional query part on a non-entity search database with respect to the entity search result, wherein the non-entity search database comprises multiple root objects for a single person entity, a single place entity, or a single thing entity; identify one or more non-entity search results, according to the execution of the non-entity query; alter a display of the entity search result to include the one or more non-entity search results; and emphasize the one or more non-entity search results in the entity search result. 3. The system of claim 1 , wherein the processor is further configured to interpret the search query as a question, and wherein the one or more non-entity search results are one or more answers to the question. | 0.743902 |
9,213,961 | 23 | 24 | 23. The system of claim 18 , wherein the means for receiving the input of the one or more key terms comprises an interface means comprising interactive user controls for inputting the key terms. | 23. The system of claim 18 , wherein the means for receiving the input of the one or more key terms comprises an interface means comprising interactive user controls for inputting the key terms. 24. The system of claim 23 , wherein the interactive user controls are graphical user interface controls displayed to the user on a computer screen. | 0.5 |
9,092,276 | 11 | 14 | 11. A system for handling a user request for invoking a computer service comprising: a computer processor; a computer-readable, memory storage device; and one or more computer program instructions embodied by the computer-readable, memory storage device, for causing the computer processor upon execution to perform operations comprising: performing a first natural language (NL) analysis on one or more computer service user programming documents, wherein API user documents describe in structured natural language one or more structured Application Programming Interfaces (APIs) with one or more API elements, and wherein each API element corresponds to a parameter or argument to use or invoke the computer service; extracting the one or more API elements from a user programming document according to the first NL analysis; performing a second NL analysis on an unstructured request from a client to use or invoke the computer service, the unstructured request comprising natural language containing one or more request components; matching the one or more request components to the one or more API elements; constructing a structured API call using the matching request components for API elements; and performing one or more operations selected from the group consisting of submitting the constructed structured API call to the computer service on behalf of the client, returning the constructed structured API call to the requesting client, and returning a result from an invoked corresponding computer service to the requesting client. | 11. A system for handling a user request for invoking a computer service comprising: a computer processor; a computer-readable, memory storage device; and one or more computer program instructions embodied by the computer-readable, memory storage device, for causing the computer processor upon execution to perform operations comprising: performing a first natural language (NL) analysis on one or more computer service user programming documents, wherein API user documents describe in structured natural language one or more structured Application Programming Interfaces (APIs) with one or more API elements, and wherein each API element corresponds to a parameter or argument to use or invoke the computer service; extracting the one or more API elements from a user programming document according to the first NL analysis; performing a second NL analysis on an unstructured request from a client to use or invoke the computer service, the unstructured request comprising natural language containing one or more request components; matching the one or more request components to the one or more API elements; constructing a structured API call using the matching request components for API elements; and performing one or more operations selected from the group consisting of submitting the constructed structured API call to the computer service on behalf of the client, returning the constructed structured API call to the requesting client, and returning a result from an invoked corresponding computer service to the requesting client. 14. The system as set forth in claim 11 wherein the computer program instructions further comprise computer program instruction for, responsive to detecting by a computer that a plurality of APIs match the request components, brokering for a structured API by a computer by eliminating one or more matching structured APIs to disqualify one or more APIs according to one or more additional criteria selected from the group consisting of a user profile, a user history of operations, and a context associated with the unstructured request. | 0.550918 |
9,164,982 | 1 | 4 | 1. A method for automatically generating text to present information associated with at least one product to a customer, the method comprising: using at least one processor to perform: accessing a template that specifies at least one list of sales points associated with one or more characteristics of the at least one product, wherein the at least one list of sales points comprises a plurality of groups of sales points comprising at least a first group of sales points associated with a first category of product characteristics and a second group of sales points associated with a second category of product characteristics, and wherein the template further specifies first language for presenting sales points associated with the first category and second language for presenting sales points associated with the second category, wherein the first language is different from the second language, wherein each sales point in the at least one list of sales points comprises two or more words; identifying, in the at least one list of sales points, a first sales point indicative of the customer's preferences; identifying additional language to be presented with the first sales point by determining a group of sales points in the plurality of groups of sales points to which the first sales point belongs; determining a format for the determined group of sales points at least in part by determining, based on a characteristic of the determined group of sales points, whether the determined group of sales points should be formatted as an enumerated list forming at least part of a single sentence or as at least a part of a single textual sentence; and automatically generating output text including the determined group of sales points including the first sales point, and the additional language identified to be presented with the first sales point, the determined group of sales points being formatted according to the determined format. | 1. A method for automatically generating text to present information associated with at least one product to a customer, the method comprising: using at least one processor to perform: accessing a template that specifies at least one list of sales points associated with one or more characteristics of the at least one product, wherein the at least one list of sales points comprises a plurality of groups of sales points comprising at least a first group of sales points associated with a first category of product characteristics and a second group of sales points associated with a second category of product characteristics, and wherein the template further specifies first language for presenting sales points associated with the first category and second language for presenting sales points associated with the second category, wherein the first language is different from the second language, wherein each sales point in the at least one list of sales points comprises two or more words; identifying, in the at least one list of sales points, a first sales point indicative of the customer's preferences; identifying additional language to be presented with the first sales point by determining a group of sales points in the plurality of groups of sales points to which the first sales point belongs; determining a format for the determined group of sales points at least in part by determining, based on a characteristic of the determined group of sales points, whether the determined group of sales points should be formatted as an enumerated list forming at least part of a single sentence or as at least a part of a single textual sentence; and automatically generating output text including the determined group of sales points including the first sales point, and the additional language identified to be presented with the first sales point, the determined group of sales points being formatted according to the determined format. 4. The method of claim 1 , the method further comprising identifying, in the at least one list of sales points, a second sales point indicative of the customer's preferences, wherein the second sales point is in a different group of sales points from the first sales point, wherein identifying additional language to be presented with the first sales point comprises identifying linking text for linking sales points in different groups, and wherein automatically generating the output text comprises generating the output text such that the linking text appears between the first sales point and the second sales point in the generated output text. | 0.725929 |
7,869,996 | 17 | 20 | 17. An apparatus comprising: first partial audio stream generation means for generating a first partial audio stream representing first speech of a speaker; first relative time means for associating with the first partial audio stream a first time relative to a reference point in a dictation stream, of which the first partial audio stream is a part; second partial audio stream generation means for generating a second partial audio stream representing second speech of the speaker; second relative time means for associating with the second partial audio stream a second time relative to the reference point in the dictation stream, of which the second partial audio stream is a part, wherein the first and second partial audio streams are not contiguous in time relative to the reference point; and a consumer comprising: first reception means for receiving the first partial audio stream; first writing means for writing the first partial audio stream into an effective dictation stream at a position based on the first time; second reception means for receiving the second partial audio stream; second writing means for writing the second partial audio stream into the effective dictation stream at a position based on the second time; and consumption means for consuming at least part of the effective dictation to produce output before completion of writing the second partial audio stream. | 17. An apparatus comprising: first partial audio stream generation means for generating a first partial audio stream representing first speech of a speaker; first relative time means for associating with the first partial audio stream a first time relative to a reference point in a dictation stream, of which the first partial audio stream is a part; second partial audio stream generation means for generating a second partial audio stream representing second speech of the speaker; second relative time means for associating with the second partial audio stream a second time relative to the reference point in the dictation stream, of which the second partial audio stream is a part, wherein the first and second partial audio streams are not contiguous in time relative to the reference point; and a consumer comprising: first reception means for receiving the first partial audio stream; first writing means for writing the first partial audio stream into an effective dictation stream at a position based on the first time; second reception means for receiving the second partial audio stream; second writing means for writing the second partial audio stream into the effective dictation stream at a position based on the second time; and consumption means for consuming at least part of the effective dictation to produce output before completion of writing the second partial audio stream. 20. The apparatus of claim 17 , wherein the first reception means comprising means for beginning to receive the first partial audio stream before generating the first partial audio stream is completed. | 0.530374 |
9,984,377 | 9 | 10 | 9. A server system for converting visual content information in an image into audio content and providing the audio content for presentation, the server system comprising: one or more network interfaces configured to provide access to a network; one or more servers, coupled to the one or more network interfaces, the one or more servers to execute instructions to: transmit first content via the network to a first end-user device to facilitate a user interface presented by an application of the first end-user device to prompt input comprising an image; process a first transmission received from the first end-user device via a network by the server system, the first transmission (a) comprising an image, the image comprising visual content information and provided as input via the user interface, and (b) corresponding to a request from an advertiser; responsive to the request from the advertiser, generate, audio content based at least in part on the image included in the visual content information at least in party by: analyzing the visual content information to extract meaningful words from the visual content information; identifying one or more limits associated with the audio content; generating a summarized text for the audio content (a) based on the meaningful words extracted from the visual content information, (b) using natural language processing to link the meaningful words based on a heuristic model and a database of words commonly used in similar content, and (c) based at least in part on the one or more limits associated with the audio content, wherein the linking of the meaningful words based on the heuristic model and the database of words commonly used in similar content generates grammatically correct text; and converting the summarized text into speech to generate the audio content and storing the audio content in an audio file; transmit via the network, the audio file storing the audio content for presentation via a second end-user device; and process a second transmission received consequent to a selection of the audio content, via the second end user device, that initiates a real-time communication connection for a call from the second end user device to the advertiser upon selection of the audio content; determine whether the call from the second end user device has been connected to the advertiser via the audio content; and responsive to determining that the call from the second end user device has been connected to the advertiser via the audio content, generating a record entry in a connection record data structure indicating that the call from the second end user device was connected to the advertiser via the audio content; and one or more storage media coupled to the one or more servers to retain the instructions. | 9. A server system for converting visual content information in an image into audio content and providing the audio content for presentation, the server system comprising: one or more network interfaces configured to provide access to a network; one or more servers, coupled to the one or more network interfaces, the one or more servers to execute instructions to: transmit first content via the network to a first end-user device to facilitate a user interface presented by an application of the first end-user device to prompt input comprising an image; process a first transmission received from the first end-user device via a network by the server system, the first transmission (a) comprising an image, the image comprising visual content information and provided as input via the user interface, and (b) corresponding to a request from an advertiser; responsive to the request from the advertiser, generate, audio content based at least in part on the image included in the visual content information at least in party by: analyzing the visual content information to extract meaningful words from the visual content information; identifying one or more limits associated with the audio content; generating a summarized text for the audio content (a) based on the meaningful words extracted from the visual content information, (b) using natural language processing to link the meaningful words based on a heuristic model and a database of words commonly used in similar content, and (c) based at least in part on the one or more limits associated with the audio content, wherein the linking of the meaningful words based on the heuristic model and the database of words commonly used in similar content generates grammatically correct text; and converting the summarized text into speech to generate the audio content and storing the audio content in an audio file; transmit via the network, the audio file storing the audio content for presentation via a second end-user device; and process a second transmission received consequent to a selection of the audio content, via the second end user device, that initiates a real-time communication connection for a call from the second end user device to the advertiser upon selection of the audio content; determine whether the call from the second end user device has been connected to the advertiser via the audio content; and responsive to determining that the call from the second end user device has been connected to the advertiser via the audio content, generating a record entry in a connection record data structure indicating that the call from the second end user device was connected to the advertiser via the audio content; and one or more storage media coupled to the one or more servers to retain the instructions. 10. The server system of claim 9 , wherein the one or more servers are further configured to execute instructions to: receive a call from the user via the audio content, connect the call received from the user to the advertiser, and record information regarding the connecting of the call received from the user to the advertiser. | 0.5 |
8,688,694 | 9 | 10 | 9. A graphical user interface on a computer display, wherein the graphical user interface is generated by a processor of a computer through executing one or more programs stored in a memory of the computer, the graphical user interface comprising: a first virtual channel icon corresponding to a first virtual channel, wherein the first virtual channel includes a first set of search result links and each search result link is associated with a respective document that includes a first set of chunks satisfying a first set of user-specified search keywords associated with the first virtual channel; and a second virtual channel icon corresponding to a second virtual channel, wherein the second virtual channel includes a second set of search result links and each search result link is associated with a respective document that includes a second set of chunks satisfying a second set of user-specified search keywords associated with the second virtual channel, wherein a first content provider provides the respective documents associated with the first and second sets of search result links and there is at least one difference between the first set of search keywords and the second set of search keywords and there is at least one search result link shared by the first virtual channel and the second virtual channel, wherein: in response to a user selection of the first virtual channel icon, the first set of search result links including the at least one shared search result link is displayed in a first region of a window on the computer display; and in response to a user selection of the at least one shared search result link in the first region, the first set of chunks within the respective document are displayed in a second region of the window while simultaneously displaying the first set of search result links in the first region on the computer display, wherein each chunk includes at least one of the first set of search keywords that is highlighted in the second region; in response to a user selection of the second virtual channel icon, the second set of search result links including the at least one shared search result link is displayed in the first region on the computer display in replacement of the first set of search result links; and in response to a user selection of the at least one shared search result link in the first region, the second set of chunks within the respective document are displayed in the second region while simultaneously displaying the second set of search result links in the first region on the computer display, wherein each chunk includes at least one of the second set of search keywords that is highlighted in the second region, and there is at least one difference between the first set of chunks and the second set of chunks. | 9. A graphical user interface on a computer display, wherein the graphical user interface is generated by a processor of a computer through executing one or more programs stored in a memory of the computer, the graphical user interface comprising: a first virtual channel icon corresponding to a first virtual channel, wherein the first virtual channel includes a first set of search result links and each search result link is associated with a respective document that includes a first set of chunks satisfying a first set of user-specified search keywords associated with the first virtual channel; and a second virtual channel icon corresponding to a second virtual channel, wherein the second virtual channel includes a second set of search result links and each search result link is associated with a respective document that includes a second set of chunks satisfying a second set of user-specified search keywords associated with the second virtual channel, wherein a first content provider provides the respective documents associated with the first and second sets of search result links and there is at least one difference between the first set of search keywords and the second set of search keywords and there is at least one search result link shared by the first virtual channel and the second virtual channel, wherein: in response to a user selection of the first virtual channel icon, the first set of search result links including the at least one shared search result link is displayed in a first region of a window on the computer display; and in response to a user selection of the at least one shared search result link in the first region, the first set of chunks within the respective document are displayed in a second region of the window while simultaneously displaying the first set of search result links in the first region on the computer display, wherein each chunk includes at least one of the first set of search keywords that is highlighted in the second region; in response to a user selection of the second virtual channel icon, the second set of search result links including the at least one shared search result link is displayed in the first region on the computer display in replacement of the first set of search result links; and in response to a user selection of the at least one shared search result link in the first region, the second set of chunks within the respective document are displayed in the second region while simultaneously displaying the second set of search result links in the first region on the computer display, wherein each chunk includes at least one of the second set of search keywords that is highlighted in the second region, and there is at least one difference between the first set of chunks and the second set of chunks. 10. The graphical user interface of claim 9 , wherein a search box and a search button are displayed in the window while the first set of search result links is displayed in the first region, wherein: in response to a user entry of a third set of search keywords into the search box and a user selection of the search button, a third set of search result links are displayed in the first region on the computer display, wherein the third set of search result links is a subset of the first set of search result links; and in response to a user selection of one of the third set of search result links, a third set of chunks within the respective document are displayed in the second region while simultaneously displaying the third set of search result links in the first region on the computer display, wherein each chunk includes at least one of the third set of search keywords that is highlighted in the second region. | 0.5 |
9,299,345 | 1 | 6 | 1. A method comprising: identifying, via a processor communicating with Internet resources, common task independent web-sentences based on frequently occurring phrases across multiple websites from a web domain stored in a data store; selectively removing the common task independent web-sentences from the web domain data, to yield filtered web domain data comprising domain-specific data; identifying, via the processor, predicate/argument pairs from the filtered web domain data; replacing, via the processor, the predicate/argument pairs with predicate/argument tokens; generating, via the processor, conversational utterances by merging the predicate/argument tokens with manually written conversational templates while preserving a relative frequency of the manually written conversational templates, to yield generated conversational utterances; and generating, via the processor, a web data language model using the generated conversational utterances, and providing it as an initial language model for deployment of an automated speech recognition system. | 1. A method comprising: identifying, via a processor communicating with Internet resources, common task independent web-sentences based on frequently occurring phrases across multiple websites from a web domain stored in a data store; selectively removing the common task independent web-sentences from the web domain data, to yield filtered web domain data comprising domain-specific data; identifying, via the processor, predicate/argument pairs from the filtered web domain data; replacing, via the processor, the predicate/argument pairs with predicate/argument tokens; generating, via the processor, conversational utterances by merging the predicate/argument tokens with manually written conversational templates while preserving a relative frequency of the manually written conversational templates, to yield generated conversational utterances; and generating, via the processor, a web data language model using the generated conversational utterances, and providing it as an initial language model for deployment of an automated speech recognition system. 6. The method of claim 1 , wherein the manually written conversational templates can be learned from a library of utterances from spoken dialogue systems. | 0.681818 |
8,701,032 | 1 | 17 | 1. A method comprising: outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys; receiving, by the computing device, an indication of a gesture detected at a presence-sensitive input device, a first portion of the gesture to select a first key of the plurality of keys and a second portion of the gesture to select a second key of the plurality of keys; determining, by the computing device and based at least in part on the first key, a word-level token comprising a single string of a plurality of predicted characters; determining, by the computing device, that the word-level token represents a candidate word included in a lexicon; determining, by the computing device and in response to determining that the word-level token represents the candidate word in the lexicon, a phrase-level token based at least in part on the word-level token and the second key, wherein the phrase-level token comprises a plurality of character strings; and outputting for display, by the computing device and based at least in part on the plurality of character strings, a candidate phrase comprising the candidate word in the lexicon and a second character string, wherein the second character string begins with a character associated with the second key. | 1. A method comprising: outputting, by a computing device and for display, a graphical keyboard comprising a plurality of keys; receiving, by the computing device, an indication of a gesture detected at a presence-sensitive input device, a first portion of the gesture to select a first key of the plurality of keys and a second portion of the gesture to select a second key of the plurality of keys; determining, by the computing device and based at least in part on the first key, a word-level token comprising a single string of a plurality of predicted characters; determining, by the computing device, that the word-level token represents a candidate word included in a lexicon; determining, by the computing device and in response to determining that the word-level token represents the candidate word in the lexicon, a phrase-level token based at least in part on the word-level token and the second key, wherein the phrase-level token comprises a plurality of character strings; and outputting for display, by the computing device and based at least in part on the plurality of character strings, a candidate phrase comprising the candidate word in the lexicon and a second character string, wherein the second character string begins with a character associated with the second key. 17. The method of claim 1 , wherein determining the phrase-level token further comprises determining that the phrase-level token includes at least one delimiter character, the at least one delimiter character being positioned between a first character string and a second character string of the plurality of character strings. | 0.797398 |
4,443,199 | 17 | 18 | 17. The teaching aid of claim 16, wherein the additional coloured alphabet tiles are provided for sound variations of the same consonant letter. | 17. The teaching aid of claim 16, wherein the additional coloured alphabet tiles are provided for sound variations of the same consonant letter. 18. The teaching aid of claim 17, wherein displaceable tiles are provided in individually distinct colours to represent variations in vowel sounds of particular combinations of letters according to spelling combinations. | 0.5 |
8,150,866 | 1 | 6 | 1. A process for creating re-usable queries over complex data, the process comprising: defining a re-usable object-oriented query language with object-oriented classes treated as logical properties, wherein each logical property is defined by one or more specified classes of at least one complex data item; relating inheritance, used to form new class with the specified classes, to the logical properties along with a plurality of virtual method calls that execute all applicable method implementations in at least one of the specified classes; and dispatching on the logical properties to choose at least one most specific implementation of an operation, wherein a most specific implementation is in a class where no subclasses define a same method, wherein the dispatching on the logical properties further includes: defining a named predicate p as predicate p(T 1 x 1 , . . . , T n x n ) {formula} for each one of the applicable method implementations, wherein the named predicate p has variables x 1 , . . . , x n so as to restrict a range of a relation, which contains tuples (x 1 , . . . , x n ) where each x i has a type T i ; and testing a receiver against each relevant type and choosing the applicable method implementations, wherein testing a type of the receiver is achieved by invoking a named constructor for each class defining a method of a relevant signature, regardless of static types; implementing queries by translating actual or possibly recursive object-oriented queries to pure Datalog using for each method and constructor of each class, a first special variable that holds a value that is a member of the class, and for each method that is not a predicate, a second special variable that holds a result of a method; and at least one of: mapping each constructor to a named characteristic predicate of its class, which tests whether a value belongs to the class, by taking a logical conjunction of characteristic predicates of all superclasses and a property specified in the constructor; mapping instance of tests and cast expressions to calls of such characteristic predicates; and mapping expressions including nested method calls to a conjunction of predicate calls, with a new named variable denoting an intermediate result of each method call. | 1. A process for creating re-usable queries over complex data, the process comprising: defining a re-usable object-oriented query language with object-oriented classes treated as logical properties, wherein each logical property is defined by one or more specified classes of at least one complex data item; relating inheritance, used to form new class with the specified classes, to the logical properties along with a plurality of virtual method calls that execute all applicable method implementations in at least one of the specified classes; and dispatching on the logical properties to choose at least one most specific implementation of an operation, wherein a most specific implementation is in a class where no subclasses define a same method, wherein the dispatching on the logical properties further includes: defining a named predicate p as predicate p(T 1 x 1 , . . . , T n x n ) {formula} for each one of the applicable method implementations, wherein the named predicate p has variables x 1 , . . . , x n so as to restrict a range of a relation, which contains tuples (x 1 , . . . , x n ) where each x i has a type T i ; and testing a receiver against each relevant type and choosing the applicable method implementations, wherein testing a type of the receiver is achieved by invoking a named constructor for each class defining a method of a relevant signature, regardless of static types; implementing queries by translating actual or possibly recursive object-oriented queries to pure Datalog using for each method and constructor of each class, a first special variable that holds a value that is a member of the class, and for each method that is not a predicate, a second special variable that holds a result of a method; and at least one of: mapping each constructor to a named characteristic predicate of its class, which tests whether a value belongs to the class, by taking a logical conjunction of characteristic predicates of all superclasses and a property specified in the constructor; mapping instance of tests and cast expressions to calls of such characteristic predicates; and mapping expressions including nested method calls to a conjunction of predicate calls, with a new named variable denoting an intermediate result of each method call. 6. The process as set forth in claim 1 , wherein an object-oriented query language is in any form depending on a domain of object-oriented query language use, including at least one of: a textual form; a graphical form; a query-by-example user interface; and embedded in a more general programming language. | 0.614322 |
8,010,338 | 9 | 10 | 9. The method of claim 8 , further comprising: determining whether a dictionary associated with the first language is currently supported; and retrieving the dictionary from a remote resource if the dictionary is not currently supported. | 9. The method of claim 8 , further comprising: determining whether a dictionary associated with the first language is currently supported; and retrieving the dictionary from a remote resource if the dictionary is not currently supported. 10. The method of claim 9 , where retrieving the dictionary from the remote resource includes downloading the dictionary from a service provider via the network. | 0.5 |
9,892,200 | 11 | 16 | 11. A system, comprising: at least one processor; and memory including instructions that, when executed by the at least one processor, cause the system to perform operations comprising: determining a location of a first user; presenting a first user interface for selecting a criterion to localize search results; responsive to receiving a selection of alter egos of the first user as the criterion, presenting a second user interface for selecting an alter ego from a plurality of available alter egos to determine search results relevant to the alter ego when the alter ego is located at the location of the first user, wherein one or more of the plurality of available alter egos are associated with a second user that is different from the first user; responsive to receiving a selection of the second user as the alter ego, presenting a third user interface for selecting a user interest from a plurality of available user interests to determine search results relevant to the user interest; responsive to receiving a selection of a first user interest as the user interest, generating and transmitting a search query based on the location of the first user, the alter ego, and the first user interest; and in response to receiving first search results relevant to the search query, presenting a fourth user interface for interacting with the first search results. | 11. A system, comprising: at least one processor; and memory including instructions that, when executed by the at least one processor, cause the system to perform operations comprising: determining a location of a first user; presenting a first user interface for selecting a criterion to localize search results; responsive to receiving a selection of alter egos of the first user as the criterion, presenting a second user interface for selecting an alter ego from a plurality of available alter egos to determine search results relevant to the alter ego when the alter ego is located at the location of the first user, wherein one or more of the plurality of available alter egos are associated with a second user that is different from the first user; responsive to receiving a selection of the second user as the alter ego, presenting a third user interface for selecting a user interest from a plurality of available user interests to determine search results relevant to the user interest; responsive to receiving a selection of a first user interest as the user interest, generating and transmitting a search query based on the location of the first user, the alter ego, and the first user interest; and in response to receiving first search results relevant to the search query, presenting a fourth user interface for interacting with the first search results. 16. The system of claim 11 , wherein the alter ego is a group to which the second user belongs. | 0.667832 |
8,317,613 | 16 | 21 | 16. A processor-implemented method for social interactive content development of a plurality of art assets for an interactive video game, comprising: determining proximity relationships amongst the plurality of art assets, each of the art assets being defined for display during execution of the interactive video game; monitoring access to the plurality of art assets; initiating a communication in response to triggering a predefined access threshold set for a specific art asset based on a proximity relationship of the specific art asset to a proximate art asset; wherein the method is executed by a processor. | 16. A processor-implemented method for social interactive content development of a plurality of art assets for an interactive video game, comprising: determining proximity relationships amongst the plurality of art assets, each of the art assets being defined for display during execution of the interactive video game; monitoring access to the plurality of art assets; initiating a communication in response to triggering a predefined access threshold set for a specific art asset based on a proximity relationship of the specific art asset to a proximate art asset; wherein the method is executed by a processor. 21. The method of claim 16 , wherein the communication comprises a real-time communication link, the real-time communication link defined between a user triggering the predefined access threshold set for the specific content asset and a user triggering a predefined access threshold set for the proximate content asset. | 0.727816 |
8,903,719 | 1 | 4 | 1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, facilitate a method of providing context-sensitive writing assistance, the method comprising: determining a context of a textual communication that a user is composing, wherein the context comprises a specific recipient to which the textual communication is addressed; selecting one or more dictionaries from a plurality of dictionaries, wherein the one or more dictionaries include words that are consistent with a communication style used in previous textual communications addressed to the specific recipient or written by the specific recipient; and providing, by way of the computing device, writing assistance that utilizes the one or more dictionaries, thereby tuning the writing assistance to match the communication style, wherein the writing assistance comprises a text slang to proper English conversion function that is activated only when a text-slang dictionary is not one of the one or more dictionaries, wherein the writing assistance is provided while the textual communication is being composed. | 1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, facilitate a method of providing context-sensitive writing assistance, the method comprising: determining a context of a textual communication that a user is composing, wherein the context comprises a specific recipient to which the textual communication is addressed; selecting one or more dictionaries from a plurality of dictionaries, wherein the one or more dictionaries include words that are consistent with a communication style used in previous textual communications addressed to the specific recipient or written by the specific recipient; and providing, by way of the computing device, writing assistance that utilizes the one or more dictionaries, thereby tuning the writing assistance to match the communication style, wherein the writing assistance comprises a text slang to proper English conversion function that is activated only when a text-slang dictionary is not one of the one or more dictionaries, wherein the writing assistance is provided while the textual communication is being composed. 4. The media of claim 1 , wherein the writing assistance is one or more of spell check and auto-complete. | 0.837461 |
9,239,832 | 15 | 20 | 15. A non-transitory computer-readable storage medium embodying instructions that, when executed by a processing device, cause the processing device to: display, by the processing device, a first label associated with an element in a first language among a plurality of languages on a user interface of a computing device, wherein the first label is part of an application of the computing device; in response to a selection of the first label by a user, display, by the processing device, a list of the plurality of languages on the user interface of the computing device; reset, by the processing device, a value of a language environment variable in view of a second language among the plurality of languages selected by the user, wherein the language environment variable is set as the value specific to the user and is indicative of a location of a plurality of translations to the application of the computing device; convert, by the processing device, the first label associated with the element in the first language on the user interface to a second label associated with the element in the selected second language among the plurality of languages on the user interface during a runtime of the computing device; and display, by the processing device, the second label associated with the element in the second language on the user interface during the runtime of the computing device. | 15. A non-transitory computer-readable storage medium embodying instructions that, when executed by a processing device, cause the processing device to: display, by the processing device, a first label associated with an element in a first language among a plurality of languages on a user interface of a computing device, wherein the first label is part of an application of the computing device; in response to a selection of the first label by a user, display, by the processing device, a list of the plurality of languages on the user interface of the computing device; reset, by the processing device, a value of a language environment variable in view of a second language among the plurality of languages selected by the user, wherein the language environment variable is set as the value specific to the user and is indicative of a location of a plurality of translations to the application of the computing device; convert, by the processing device, the first label associated with the element in the first language on the user interface to a second label associated with the element in the selected second language among the plurality of languages on the user interface during a runtime of the computing device; and display, by the processing device, the second label associated with the element in the second language on the user interface during the runtime of the computing device. 20. The non-transitory computer-readable storage medium of claim 15 wherein a search for translation among the plurality of translations is enabled upon the reset of the value of language environment variable to a second language. | 0.5 |
7,917,363 | 2 | 3 | 2. A process as claimed in claim 1 , wherein said probabilities are probabilities of confusing words of said input phrase and words of said grammar. | 2. A process as claimed in claim 1 , wherein said probabilities are probabilities of confusing words of said input phrase and words of said grammar. 3. A process as claimed in claim 2 , wherein said probabilities of confusing are determined on the basis of phonetic similarities of words of said input phrase and words of said grammar. | 0.5 |
8,001,469 | 1 | 16 | 1. A method comprising: receiving a task flow that describes operations of a dialog system that provides synthesized speech responses to spoken user input by a caller; generating a script that is a formal description of the task flow; automatically generating a graphical user interface (GUI) from the script, the GUI consisting of templates for control of the dialog system, generation of context-dependent synthesized speech prompts, and real-time collection and annotating of dialog data during a live dialog between only the dialog system and the caller to the dialog system, the GUI comprising a first portion for input of caller provided information, a second portion comprising an output control panel for control of the synthesized speech prompts by a human operator, a third portion providing status of a current task within the task flow, and a fourth portion providing an graphical representation of the task flow; and detecting the presence of an abnormality in speech processing during the task flow and automatically switching control to the human operator to allow direct interaction with the caller to correct the abnormality. | 1. A method comprising: receiving a task flow that describes operations of a dialog system that provides synthesized speech responses to spoken user input by a caller; generating a script that is a formal description of the task flow; automatically generating a graphical user interface (GUI) from the script, the GUI consisting of templates for control of the dialog system, generation of context-dependent synthesized speech prompts, and real-time collection and annotating of dialog data during a live dialog between only the dialog system and the caller to the dialog system, the GUI comprising a first portion for input of caller provided information, a second portion comprising an output control panel for control of the synthesized speech prompts by a human operator, a third portion providing status of a current task within the task flow, and a fourth portion providing an graphical representation of the task flow; and detecting the presence of an abnormality in speech processing during the task flow and automatically switching control to the human operator to allow direct interaction with the caller to correct the abnormality. 16. The method of claim 1 , wherein the formal description includes states corresponding to each of the tasks. | 0.776423 |
8,200,584 | 1 | 13 | 1. A computer-implemented web-based system for advertising and promoting career opportunities, said system including a server computer communicatively coupled to at least one other computer, said server computer including multimedia transmission means, and said server computer providing to said at least one other computer, a computer displayable holistic multimedia overview of the career opportunity and life in the business location so that a job seeker may make an informed decision, said holistic multimedia overview comprising a menu of a plurality of user-selectable sections, in viewing order, said sections presenting multimedia, including streaming video, graphics and text concerning a service area topic and a career topic, the service area topic including multimedia relating to a geographic service area for the career opportunity, local schools, local businesses and local lifestyle attractions, including recreation, entertainment and shopping attractions, and the career topic including multimedia relating to facilities, and streaming video, photographs and testimonials of professionals associated with the business and in the service area and interviews with said professionals said system further comprising a subsystem for creating a posting for a career opportunity, said subsystem including a computer-executable interactive module adapted to request input of multimedia for the job posting, said multimedia including content concerning a geographic service area for the career, photographs of and information about service area leaders and information about service area organizations, said interactive module being further adapted to create the job posting using inputted multimedia, said interactive module being further adapted for network access. | 1. A computer-implemented web-based system for advertising and promoting career opportunities, said system including a server computer communicatively coupled to at least one other computer, said server computer including multimedia transmission means, and said server computer providing to said at least one other computer, a computer displayable holistic multimedia overview of the career opportunity and life in the business location so that a job seeker may make an informed decision, said holistic multimedia overview comprising a menu of a plurality of user-selectable sections, in viewing order, said sections presenting multimedia, including streaming video, graphics and text concerning a service area topic and a career topic, the service area topic including multimedia relating to a geographic service area for the career opportunity, local schools, local businesses and local lifestyle attractions, including recreation, entertainment and shopping attractions, and the career topic including multimedia relating to facilities, and streaming video, photographs and testimonials of professionals associated with the business and in the service area and interviews with said professionals said system further comprising a subsystem for creating a posting for a career opportunity, said subsystem including a computer-executable interactive module adapted to request input of multimedia for the job posting, said multimedia including content concerning a geographic service area for the career, photographs of and information about service area leaders and information about service area organizations, said interactive module being further adapted to create the job posting using inputted multimedia, said interactive module being further adapted for network access. 13. A system according to claim 1 , said information including content relating to personnel relevant to the career opportunity. | 0.947541 |
9,953,055 | 1 | 5 | 1. A method of optimizing content selection infrastructure, comprising: retrieving, by an entity engine executing on one or more processors of a data processing system, a search query report that includes 1) a plurality of queries corresponding to selected content items of a content campaign, and 2) a performance metric for each of the plurality of queries determined based on a performance of the selected content items of the content campaign; determining, by the entity engine using a database, an entity for each query of the plurality of queries, the entity having a unique identifier indicating a classification based on a domain, a type and a property that establishes a relationship to at least one other entity stored in the database; generating, by a cluster engine executing on the data processing system, using a clustering technique applied to the unique identifier indicating the classification of the entity for each query of the plurality of queries, a first subset of the plurality of queries and a second subset of the plurality of queries, wherein the plurality of queries are separated into the first subset and the second subset based on the classification indicated by the unique identifier of the entity for each query of the plurality of queries; generating, by the cluster engine based on the performance metric for each of the plurality of queries, a first performance metric for the first subset and a second performance metric for the second subset, the first performance metric different from the second performance metric; providing, for display via an interface, the first performance metric and the second performance metric; receiving, by the data processing system, based on the first performance metric, a selection of a semantic criterion associated with the first subset generated based on the classification indicated by the unique identifier of the entity for each query of the plurality of queries; and updating, by the data processing system, the content campaign to include the semantic criterion. | 1. A method of optimizing content selection infrastructure, comprising: retrieving, by an entity engine executing on one or more processors of a data processing system, a search query report that includes 1) a plurality of queries corresponding to selected content items of a content campaign, and 2) a performance metric for each of the plurality of queries determined based on a performance of the selected content items of the content campaign; determining, by the entity engine using a database, an entity for each query of the plurality of queries, the entity having a unique identifier indicating a classification based on a domain, a type and a property that establishes a relationship to at least one other entity stored in the database; generating, by a cluster engine executing on the data processing system, using a clustering technique applied to the unique identifier indicating the classification of the entity for each query of the plurality of queries, a first subset of the plurality of queries and a second subset of the plurality of queries, wherein the plurality of queries are separated into the first subset and the second subset based on the classification indicated by the unique identifier of the entity for each query of the plurality of queries; generating, by the cluster engine based on the performance metric for each of the plurality of queries, a first performance metric for the first subset and a second performance metric for the second subset, the first performance metric different from the second performance metric; providing, for display via an interface, the first performance metric and the second performance metric; receiving, by the data processing system, based on the first performance metric, a selection of a semantic criterion associated with the first subset generated based on the classification indicated by the unique identifier of the entity for each query of the plurality of queries; and updating, by the data processing system, the content campaign to include the semantic criterion. 5. The method of claim 1 , wherein queries of the first subset overlap with queries from of the second subset. | 0.845938 |
10,157,426 | 27 | 31 | 27. The method of claim 26 , the prioritization data comprising: ranking data, wherein each question or topic is assigned a ranking or score; and categorization data, wherein each question or topic is assigned a category from a plurality of categories. | 27. The method of claim 26 , the prioritization data comprising: ranking data, wherein each question or topic is assigned a ranking or score; and categorization data, wherein each question or topic is assigned a category from a plurality of categories. 31. The method of claim 27 , wherein the ranking data and the categorization data are not presented to the user through the interview screen. | 0.815927 |
8,595,687 | 25 | 27 | 25. The system of claim 23 , wherein said processor is configured to cause said new text editor to associate with a text editor feature. | 25. The system of claim 23 , wherein said processor is configured to cause said new text editor to associate with a text editor feature. 27. The system of claim 25 , wherein said processor is configured to cause said new text editor to customize said text editor feature for said text edit view. | 0.5 |
9,075,462 | 1 | 5 | 1. A computer-implemented method comprising: detecting a contact with a touch input device of an electronic device, wherein the touch input device is configured to receive touch input from one or more fingers and determine an electrical resistance associated with each of the one or more fingers providing the touch input; identifying at least one finger of the one or more fingers associated with the detected contact based on the determined electrical resistance, wherein each finger is identified based on a characteristic electric resistance corresponding to the respective finger as determined by the touch input device; determining a finger-specific command associated with the contact from the at least one identified finger, wherein the finger-specific command is determined based at least in part on each finger identified based on the characteristic electric resistance; and performing the determined finger-specific command. | 1. A computer-implemented method comprising: detecting a contact with a touch input device of an electronic device, wherein the touch input device is configured to receive touch input from one or more fingers and determine an electrical resistance associated with each of the one or more fingers providing the touch input; identifying at least one finger of the one or more fingers associated with the detected contact based on the determined electrical resistance, wherein each finger is identified based on a characteristic electric resistance corresponding to the respective finger as determined by the touch input device; determining a finger-specific command associated with the contact from the at least one identified finger, wherein the finger-specific command is determined based at least in part on each finger identified based on the characteristic electric resistance; and performing the determined finger-specific command. 5. The method of claim 1 , further comprising detecting a gesture and wherein the finger-specific command is determined based on the gesture and the at least one identified finger. | 0.694915 |
5,455,599 | 1 | 10 | 1. An object-oriented graphic system, comprising: (a) a processor; (b) a storage under the control of and attached to the processor; (c) one or more graphic devices under the control of and attached to the processor; (d) a grafport object in the storage of the processor; (e) a graphic device object in the storage of the processor for managing one of the one or more graphic devices; (f) a graphic object in the storage of the processor for managing graphic processing; and (g) means for connecting the graphic device object to the grafport object to output graphic information on the one of the one or more graphic devices under the control of the graphic object. | 1. An object-oriented graphic system, comprising: (a) a processor; (b) a storage under the control of and attached to the processor; (c) one or more graphic devices under the control of and attached to the processor; (d) a grafport object in the storage of the processor; (e) a graphic device object in the storage of the processor for managing one of the one or more graphic devices; (f) a graphic object in the storage of the processor for managing graphic processing; and (g) means for connecting the graphic device object to the grafport object to output graphic information on the one of the one or more graphic devices under the control of the graphic object. 10. A system as recited in claim 1, wherein the geometric object includes geometry for the graphic information. | 0.585821 |
7,685,104 | 1 | 3 | 1. A method for managing execution of a query against data of a database, comprising: receiving a current query against the data of the database, the current query including a plurality of query conditions; for the plurality of query conditions: determining whether any previously generated dynamic bitmap index can be re-used for the query, the previously generated dynamic bitmap index having been previously generated to satisfy a previous query executed against the data of the database, wherein a first and a second query condition of the plurality of query conditions are connected by an operator and wherein the dynamic bitmap index is a combination, according to the operator, of (i) a first dynamic bitmap index generated for a query condition related to the first query condition and (ii) a second dynamic bitmap index generated for a query condition related to the second query condition; and retrieving the previously generated dynamic bitmap index; and determining a query result for the current query using only the retrieved previously generated dynamic bitmap index; and if no previously generated dynamic bitmap index can be re-used, for the plurality of query conditions: generating a dynamic bitmap index for a combination of at least two query conditions of the plurality of query conditions connected by at least one operator; and storing the generated dynamic bitmap index for retrieval in execution of a subsequent query having a subsequent related query condition. | 1. A method for managing execution of a query against data of a database, comprising: receiving a current query against the data of the database, the current query including a plurality of query conditions; for the plurality of query conditions: determining whether any previously generated dynamic bitmap index can be re-used for the query, the previously generated dynamic bitmap index having been previously generated to satisfy a previous query executed against the data of the database, wherein a first and a second query condition of the plurality of query conditions are connected by an operator and wherein the dynamic bitmap index is a combination, according to the operator, of (i) a first dynamic bitmap index generated for a query condition related to the first query condition and (ii) a second dynamic bitmap index generated for a query condition related to the second query condition; and retrieving the previously generated dynamic bitmap index; and determining a query result for the current query using only the retrieved previously generated dynamic bitmap index; and if no previously generated dynamic bitmap index can be re-used, for the plurality of query conditions: generating a dynamic bitmap index for a combination of at least two query conditions of the plurality of query conditions connected by at least one operator; and storing the generated dynamic bitmap index for retrieval in execution of a subsequent query having a subsequent related query condition. 3. The method of claim 1 , wherein the current query is an SQL query having a WHERE clause, and wherein each query condition of the plurality of query conditions is a predicate of the WHERE clause. | 0.84164 |
7,752,073 | 10 | 17 | 10. An Internet advertising system for receiving advertisement information from advertisers for publication through a multi-node hierarchical content-based system, the Internet advertising system comprising: an interactive database server that sends a multi-level representation of at least a portion of the hierarchy of content nodes to a plurality of advertiser user systems to facilitate selection of one or more of the nodes, the hierarchy of content nodes providing a categorization of information and each content node being associated with one or more web pages, and receives advertisement listing information from a plurality of advertiser user systems connecting to the Internet advertising system over the Internet, the advertisement listing information comprising an advertisement title and URL, a selection of one or more nodes with which the advertisement listing information is to be associated, and a bid amount for each node selected; a database that stores the advertisement listings; and a network file server that delivers web page content and advertisement listings to a plurality of end users requesting one or more pages associated with one or more nodes in the multi-node hierarchical system, the content and advertisement listings delivered being based on the node associated with the page by an end user. | 10. An Internet advertising system for receiving advertisement information from advertisers for publication through a multi-node hierarchical content-based system, the Internet advertising system comprising: an interactive database server that sends a multi-level representation of at least a portion of the hierarchy of content nodes to a plurality of advertiser user systems to facilitate selection of one or more of the nodes, the hierarchy of content nodes providing a categorization of information and each content node being associated with one or more web pages, and receives advertisement listing information from a plurality of advertiser user systems connecting to the Internet advertising system over the Internet, the advertisement listing information comprising an advertisement title and URL, a selection of one or more nodes with which the advertisement listing information is to be associated, and a bid amount for each node selected; a database that stores the advertisement listings; and a network file server that delivers web page content and advertisement listings to a plurality of end users requesting one or more pages associated with one or more nodes in the multi-node hierarchical system, the content and advertisement listings delivered being based on the node associated with the page by an end user. 17. The Internet advertising system of claim 10 further comprising: a payment processor that collects payment for publishing the advertisement listings on the individual nodes of the Internet advertising system based on the bid amounts. | 0.712895 |
9,230,540 | 5 | 6 | 5. The method of claim 1 , wherein: a first member of the set is associated with a second member of the set with which the first member is acoustically-confusable and that, when substituted for the first member in a recognition result, changes a meaning of the recognition result; and the determining whether the first recognition result includes a member of the set and whether the at least one alternative recognition result includes any of the at least one other member comprises determining whether the first recognition result includes the first member and whether the at least one alternative recognition result includes the second member. | 5. The method of claim 1 , wherein: a first member of the set is associated with a second member of the set with which the first member is acoustically-confusable and that, when substituted for the first member in a recognition result, changes a meaning of the recognition result; and the determining whether the first recognition result includes a member of the set and whether the at least one alternative recognition result includes any of the at least one other member comprises determining whether the first recognition result includes the first member and whether the at least one alternative recognition result includes the second member. 6. The method of claim 5 , wherein the second member of the set, when substituted for the first member in a recognition result, changes a medical meaning of the recognition result. | 0.5 |
8,682,647 | 1 | 3 | 1. A computer implemented method of providing a natural language answer to a natural language question, the method comprising: receiving, over a computer network, a query comprising a grammatical question; submitting the query to a lookup engine; receiving initial search results from the lookup engine, the initial search results comprising a plurality of documents; identifying, in the plurality of documents, a plurality of candidate sentences; calculating a frequency of a plurality of n-grams appearing in the plurality of candidate sentences, wherein n ranges at least from 1 to 2; calculating, for each candidate sentence, a measure of commonality between the candidate sentence and the query; assigning, to each candidate sentence, a score, wherein the score comprises (1) the frequency of a plurality of n-grams appearing in the candidate sentence, and (2) the measure of commonality between the candidate sentence and the query; sorting the candidate sentences according to score, whereby a rating of candidate sentences is produced; and sending, over a computer network, a reply to the query, the reply comprising at least a top candidate sentence from the rating of candidate sentences. | 1. A computer implemented method of providing a natural language answer to a natural language question, the method comprising: receiving, over a computer network, a query comprising a grammatical question; submitting the query to a lookup engine; receiving initial search results from the lookup engine, the initial search results comprising a plurality of documents; identifying, in the plurality of documents, a plurality of candidate sentences; calculating a frequency of a plurality of n-grams appearing in the plurality of candidate sentences, wherein n ranges at least from 1 to 2; calculating, for each candidate sentence, a measure of commonality between the candidate sentence and the query; assigning, to each candidate sentence, a score, wherein the score comprises (1) the frequency of a plurality of n-grams appearing in the candidate sentence, and (2) the measure of commonality between the candidate sentence and the query; sorting the candidate sentences according to score, whereby a rating of candidate sentences is produced; and sending, over a computer network, a reply to the query, the reply comprising at least a top candidate sentence from the rating of candidate sentences. 3. The method of claim 1 , wherein each score comprises a product of (1) the frequency of a plurality of n-grams appearing in the candidate sentence, and (2) the measure of commonality between the candidate sentence and the query. | 0.603448 |
10,068,024 | 1 | 11 | 1. A method for generating data to provide situational awareness or decision-making assistance to a user in relation to a physical environment, the method comprising, with a computer system: processing input data comprising at least data associated with the physical environment; and when a need for situational awareness or decision-making assistance is detected based on the input data, generating response data, the response data derived from multimodal data from a plurality of electronic data streams comprising audio, visual and textual information, the data streams received from a plurality of data sources, wherein generating the response data comprises: determining a characteristic of the need for situational awareness or decision-making assistance; extracting semantic information from the audio, visual and textual information; correlating the extracted semantic information in accordance with the characteristic; selecting a subset of the audio, visual and textual information based on the correlation of the extracted semantic information with the characteristic; and outputting at least a portion of the selected subset as the response data. | 1. A method for generating data to provide situational awareness or decision-making assistance to a user in relation to a physical environment, the method comprising, with a computer system: processing input data comprising at least data associated with the physical environment; and when a need for situational awareness or decision-making assistance is detected based on the input data, generating response data, the response data derived from multimodal data from a plurality of electronic data streams comprising audio, visual and textual information, the data streams received from a plurality of data sources, wherein generating the response data comprises: determining a characteristic of the need for situational awareness or decision-making assistance; extracting semantic information from the audio, visual and textual information; correlating the extracted semantic information in accordance with the characteristic; selecting a subset of the audio, visual and textual information based on the correlation of the extracted semantic information with the characteristic; and outputting at least a portion of the selected subset as the response data. 11. The method of claim 1 , comprising: extracting one or more concepts from the audio, visual and textual information, the one or more concepts comprising at least one of objects, actions, scenes and emotions; indexing the extracted concepts; and generating the response data using the indexed concepts. | 0.63981 |
8,582,807 | 11 | 19 | 11. A system to classify camera images, comprising a. means for generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); b. means for capturing correspondences of faces by face tracking; c. means for applying a stochastic update rule for each face image determined as Ω - γ t [ λ ( Ω - Ω 0 ) + ( F ( X t , Ω ) - y t ~ ) ∂ ∂ Ω F ( X , θ ) ] , where y t ~ = 1 T ( X t ) ∑ Z ∈ T ( X t ) F ( Z , Ω ) , γ t is the step size, term λ(Ω−Ω 0 ) represents weight decay, and a baseline neural network function is represented by y=F(X,Ω 0 ), and d. means for applying incremental learning to the CNNs and enforcing correspondence constraint such that CNN outputs are consistent and stable for one person. | 11. A system to classify camera images, comprising a. means for generating a baseline gender model and an age estimation model using one or more convolutional neural networks (CNNs); b. means for capturing correspondences of faces by face tracking; c. means for applying a stochastic update rule for each face image determined as Ω - γ t [ λ ( Ω - Ω 0 ) + ( F ( X t , Ω ) - y t ~ ) ∂ ∂ Ω F ( X , θ ) ] , where y t ~ = 1 T ( X t ) ∑ Z ∈ T ( X t ) F ( Z , Ω ) , γ t is the step size, term λ(Ω−Ω 0 ) represents weight decay, and a baseline neural network function is represented by y=F(X,Ω 0 ), and d. means for applying incremental learning to the CNNs and enforcing correspondence constraint such that CNN outputs are consistent and stable for one person. 19. The system of claim 11 , comprising means for updating the baseline models using data collected online to avoid model drift. | 0.773852 |
8,863,128 | 1 | 4 | 1. A computer-implemented method for optimizing a task graph that delineates a plurality of tasks to be evaluated in a parallel processing environment, the method comprising: generating a first task aggregation topology associated with the task graph that divides the plurality of tasks into a first collection of sets, wherein each set in the first collection of sets includes one or more tasks from the plurality of tasks, each task of the plurality of tasks belongs to only one set included in the first collection of sets, and the first task aggregation topology comprises a bit mask that indicates two or more tasks of the plurality of tasks that are included in a first set in the first collection of sets; compiling the plurality of tasks according to the first task aggregation topology to generate units of work to be executed in the parallel processing environment, wherein the two or more tasks included in the first set are compiled to generate a single unit of work that is executed by a first processing engine included in the parallel processing environment; collecting statistics associated with executing the units of work in the parallel processing environment; and determining whether the first task aggregation topology is more efficient in execution than any previously-defined task aggregation topology based on the statistics; and if the task aggregation topology is more efficient in execution than any previously-defined task aggregation topology, then selecting the first task aggregation topology as the most optimal task aggregation topology, or if the first task aggregation topology is not more efficient in execution than any previously-defined task aggregation topology, then selecting a second task aggregation topology as the most optimal task aggregation topology. | 1. A computer-implemented method for optimizing a task graph that delineates a plurality of tasks to be evaluated in a parallel processing environment, the method comprising: generating a first task aggregation topology associated with the task graph that divides the plurality of tasks into a first collection of sets, wherein each set in the first collection of sets includes one or more tasks from the plurality of tasks, each task of the plurality of tasks belongs to only one set included in the first collection of sets, and the first task aggregation topology comprises a bit mask that indicates two or more tasks of the plurality of tasks that are included in a first set in the first collection of sets; compiling the plurality of tasks according to the first task aggregation topology to generate units of work to be executed in the parallel processing environment, wherein the two or more tasks included in the first set are compiled to generate a single unit of work that is executed by a first processing engine included in the parallel processing environment; collecting statistics associated with executing the units of work in the parallel processing environment; and determining whether the first task aggregation topology is more efficient in execution than any previously-defined task aggregation topology based on the statistics; and if the task aggregation topology is more efficient in execution than any previously-defined task aggregation topology, then selecting the first task aggregation topology as the most optimal task aggregation topology, or if the first task aggregation topology is not more efficient in execution than any previously-defined task aggregation topology, then selecting a second task aggregation topology as the most optimal task aggregation topology. 4. The method of claim 1 , wherein the execution statistics include a total amount of memory consumed when executing the units of work in the parallel processing environment. | 0.806236 |
9,737,759 | 14 | 16 | 14. The non-transitory computer readable media of claim 13 , wherein upon an exercise match not being found in said user population history, processing said parsed cleaned text using a search string modifying algorithm to create a modified text string; performing a fuzzy search on an exercise database for exercise results relevant to said modified text string; scoring said exercise results to create an exercise text match score; and selecting as said exercise to be tracked an exercise having the top score. | 14. The non-transitory computer readable media of claim 13 , wherein upon an exercise match not being found in said user population history, processing said parsed cleaned text using a search string modifying algorithm to create a modified text string; performing a fuzzy search on an exercise database for exercise results relevant to said modified text string; scoring said exercise results to create an exercise text match score; and selecting as said exercise to be tracked an exercise having the top score. 16. The non-transitory computer readable media of claim 14 , wherein said search string modifying algorithm creates said modified search string by performing one or more of: (i) removing, or replacing with spaces, connecting dashes between words, if any, (ii) removing an apostrophe followed by a letter “s” and removing an apostrophe only, if any, and (iii) inserting a space between connected words and numbers that have no space, if any. | 0.617391 |
9,141,605 | 2 | 3 | 2. The method of claim 1 , wherein the method further comprises: after said matching is performed for one matched element of the matched elements, said processor determining that at least one condition is indicated for the one matched element; responsive to determining that at least one condition is indicated for the one matched element, said processor fulfilling each condition of the at least one condition for the one matched element, wherein the at least one condition is selected from the group consisting of specificity, proximity, both specificity and proximity, both specificity and completeness, and both proximity and completeness, wherein fulfilling specificity for the one matched element comprises identifying an activity associated with the at least one matched element, wherein fulfilling completeness for the one matched element comprises obtaining additional information associated with the at least one matched element, and wherein fulfilling proximity for the one matched element comprises identifying proximity relationships for the one matched element. | 2. The method of claim 1 , wherein the method further comprises: after said matching is performed for one matched element of the matched elements, said processor determining that at least one condition is indicated for the one matched element; responsive to determining that at least one condition is indicated for the one matched element, said processor fulfilling each condition of the at least one condition for the one matched element, wherein the at least one condition is selected from the group consisting of specificity, proximity, both specificity and proximity, both specificity and completeness, and both proximity and completeness, wherein fulfilling specificity for the one matched element comprises identifying an activity associated with the at least one matched element, wherein fulfilling completeness for the one matched element comprises obtaining additional information associated with the at least one matched element, and wherein fulfilling proximity for the one matched element comprises identifying proximity relationships for the one matched element. 3. The method of claim 2 , wherein the at least one condition consists of specificity. | 0.59434 |
8,055,635 | 3 | 4 | 3. The method of claim 1 , wherein the query result includes data verification objects associated with the data records in the query result and the received query. | 3. The method of claim 1 , wherein the query result includes data verification objects associated with the data records in the query result and the received query. 4. The method of claim 3 , wherein the query result further includes those of the index segments which are accessed during the executing of the received query. | 0.5 |
9,177,049 | 10 | 11 | 10. The system of claim 9 ; wherein the assertion group object is adapted to generate a cumulative score of information objects moved through the assertion gates for visualizing the level of evidence of the assertion. | 10. The system of claim 9 ; wherein the assertion group object is adapted to generate a cumulative score of information objects moved through the assertion gates for visualizing the level of evidence of the assertion. 11. The system of claim 10 , wherein the cumulative score accounts for information objects moved through the nested assertion gates for visualizing the level of evidence of the assertion. | 0.5 |
10,025,858 | 10 | 13 | 10. A method for ordering a set of Web pages satisfying query criteria comprising: for each Web page in a set of Web pages satisfying query criteria, assigning a page ranking value based at least in part upon a browsing-time factor; ordering the Web pages in the set in accordance with the assigned page ranking values; and presenting the Web pages in order within a search Web page in which the query criteria was entered, wherein the browsing-time factor is determined based upon a behavioral event of a user at the plurality of Web pages gathered by a behavioral capture engine, an elapsed time taken by the user before the user returns to the search provider gathered by a return-to-engine timer, and a cumulative score calculated from a first set of scores and a second set of scores, wherein the first set of scores correspond to types of behavioral actions performed by the user at an associated browsed Web page gathered by the behavioral capture engine, and wherein the second set of scores correspond to the elapsed time spent by the at the associated browsed Web page and the elapsed time taken by the user to return to the search provider from the associated browsed Web page gathered by the return-to-engine timer, wherein the browsing-time factor disregards input from a computing device in response to a fixed number of accesses which have occurred from the computing device per a predetermined time period, wherein the browsing time factor is adjusted responsive to an adjustment event, wherein the browsing-time factor is adjusted by detecting a negative adjustment event relating to the browsed Web page, and unfavorably adjusting the browsing-time factor responsive to the negative adjustment event, and wherein the negative adjustment event indicates the user adding the browsed web page to a list of web pages blocked by a firewall. | 10. A method for ordering a set of Web pages satisfying query criteria comprising: for each Web page in a set of Web pages satisfying query criteria, assigning a page ranking value based at least in part upon a browsing-time factor; ordering the Web pages in the set in accordance with the assigned page ranking values; and presenting the Web pages in order within a search Web page in which the query criteria was entered, wherein the browsing-time factor is determined based upon a behavioral event of a user at the plurality of Web pages gathered by a behavioral capture engine, an elapsed time taken by the user before the user returns to the search provider gathered by a return-to-engine timer, and a cumulative score calculated from a first set of scores and a second set of scores, wherein the first set of scores correspond to types of behavioral actions performed by the user at an associated browsed Web page gathered by the behavioral capture engine, and wherein the second set of scores correspond to the elapsed time spent by the at the associated browsed Web page and the elapsed time taken by the user to return to the search provider from the associated browsed Web page gathered by the return-to-engine timer, wherein the browsing-time factor disregards input from a computing device in response to a fixed number of accesses which have occurred from the computing device per a predetermined time period, wherein the browsing time factor is adjusted responsive to an adjustment event, wherein the browsing-time factor is adjusted by detecting a negative adjustment event relating to the browsed Web page, and unfavorably adjusting the browsing-time factor responsive to the negative adjustment event, and wherein the negative adjustment event indicates the user adding the browsed web page to a list of web pages blocked by a firewall. 13. The method of claim 10 , wherein the negative adjustment event comprises at least one event selected from a group consisting of not viewing, by the user, an entirety of the browsed Web page, accessing, by the user, other ones of the Web pages, and entering, by the at least one user, similar criteria to the query criteria a next time the search provider is used by the user. | 0.536675 |
9,324,104 | 1 | 16 | 1. A computer-based recommendation system for generating recommendations of unique items, the recommendation system comprising: one or more computer readable storage devices configured to store: a plurality of computer executable instructions; an items information database containing data relating to a plurality of unique items; one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the computer system to: receive an input from a user that comprises user-expressed preferences associated with the plurality of unique items; calculate a customization score for each unique item in the plurality of unique items, the customization score representing an estimated preference impact based on at least one customization attribute that may affect the user's preference for the unique item; calculate a condition score for each unique item in the plurality of unique items, the condition score representing an estimated preference impact based on at least one condition attribute that may affect the user's preference for the unique item; generate a dissimilarity penalty for each unique item in the plurality of unique items by combining the customization score and the condition score, the dissimilarity penalty at least partially generated based on a magnitude of dissimilarity between the unique item and the user-expressed preferences; and generate a recommendation of unique items by ranking at least a portion of the plurality of the unique items based at least partially on the calculated dissimilarity penalties. | 1. A computer-based recommendation system for generating recommendations of unique items, the recommendation system comprising: one or more computer readable storage devices configured to store: a plurality of computer executable instructions; an items information database containing data relating to a plurality of unique items; one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the computer system to: receive an input from a user that comprises user-expressed preferences associated with the plurality of unique items; calculate a customization score for each unique item in the plurality of unique items, the customization score representing an estimated preference impact based on at least one customization attribute that may affect the user's preference for the unique item; calculate a condition score for each unique item in the plurality of unique items, the condition score representing an estimated preference impact based on at least one condition attribute that may affect the user's preference for the unique item; generate a dissimilarity penalty for each unique item in the plurality of unique items by combining the customization score and the condition score, the dissimilarity penalty at least partially generated based on a magnitude of dissimilarity between the unique item and the user-expressed preferences; and generate a recommendation of unique items by ranking at least a portion of the plurality of the unique items based at least partially on the calculated dissimilarity penalties. 16. The computer-based recommendation system of claim 1 , wherein the one or more hardware computer processors are further configured to execute the plurality of computer executable instructions in order to cause the computer system to: calculate a probability score for each unique item in the plurality of unique items, the probability score representing an estimated probability that a user will be interested in the unique item based on the user-expressed preferences; and wherein the dissimilarity penalty for each unique item is at least partially generated based on combining that unique item's probability score, customization score and condition score. | 0.5 |
7,917,489 | 1 | 7 | 1. A method for displaying information to a user comprising: receiving a search query at a search engine, wherein said search query includes a set of search terms; generating, by the search engine, a set of search results based on the search terms in the search query; extracting a set of keywords from at least a portion of the set of search results; heuristically identifying at least one of said keywords from the set of keywords as a name entity, wherein said name entity is not a term in said set of search terms; determining name entity information to be presented to a user; wherein determining name entity information includes obtaining information related to said name entity from a source other than the search results; constructing at the search engine a search results page that includes both a listing of said set of search results and said name entity information; and sending the search results page to a user as a response to the search query, wherein heuristically identifying at least one of said keywords from the set of keywords includes determining if the at least one of said keywords appears in at least a threshold percentage of search results, wherein the method steps are performed by one or more computing devices. | 1. A method for displaying information to a user comprising: receiving a search query at a search engine, wherein said search query includes a set of search terms; generating, by the search engine, a set of search results based on the search terms in the search query; extracting a set of keywords from at least a portion of the set of search results; heuristically identifying at least one of said keywords from the set of keywords as a name entity, wherein said name entity is not a term in said set of search terms; determining name entity information to be presented to a user; wherein determining name entity information includes obtaining information related to said name entity from a source other than the search results; constructing at the search engine a search results page that includes both a listing of said set of search results and said name entity information; and sending the search results page to a user as a response to the search query, wherein heuristically identifying at least one of said keywords from the set of keywords includes determining if the at least one of said keywords appears in at least a threshold percentage of search results, wherein the method steps are performed by one or more computing devices. 7. The method of claim 1 , wherein extracting a set of keywords from at least a portion of the set of search results includes extracting the set of keywords from a top portion of search results in said set of search results. | 0.704485 |
4,881,197 | 1 | 9 | 1. In a data processing system for composing documents, said data processing system including means for entering data and commands relating to a document to be composed, data processor means for processing said data and for executing commands, and a plurality of output means for presenting the document, a method for composing a document comprising multiple lines of alphanumeric characters, said document having portions in which there is need for a plurality of distinct, data presentation characteristic defining formats, each format defining a geometric and topological structural arrangement of alphanumeric textural data, said method for composing a document comprising the steps of: a. associating a first abstract format name with a first format upon entry of said first abstract name via said means for entering; b. defining by an operator a first set of data presentation characteristics for a first output means for at least a first portion of the document and associating said first set of data presentation characteristics with said first abstract format name during an abstract format name characteristic specification by an operator; c. defining by an operator a second set of data presentation characteristics, which are independent from said first set of data presentation characteristics for a second output means for at least a first portion of the document, without affecting the data presentation characteristics defined for said first output means, and associating said second set of data presentation characteristics with said first abstract format name during said abstract name characteristic specification; d. associating with every line in the document an abstract format name which is linked to a data presentation characteristic defining format; e. using said abstract format name characteristic specification to display the document during composition in a form substantially the same as the final format display; and f. responding to the entry of said first abstract format name during document production by formatting the lines in the document on the first output means to have said first set of data presentation characteristics associated with said first abstract format name and formatting the lines in the document on the second output means to have said second set of data presentation characteristics associated with said first abstract format name. | 1. In a data processing system for composing documents, said data processing system including means for entering data and commands relating to a document to be composed, data processor means for processing said data and for executing commands, and a plurality of output means for presenting the document, a method for composing a document comprising multiple lines of alphanumeric characters, said document having portions in which there is need for a plurality of distinct, data presentation characteristic defining formats, each format defining a geometric and topological structural arrangement of alphanumeric textural data, said method for composing a document comprising the steps of: a. associating a first abstract format name with a first format upon entry of said first abstract name via said means for entering; b. defining by an operator a first set of data presentation characteristics for a first output means for at least a first portion of the document and associating said first set of data presentation characteristics with said first abstract format name during an abstract format name characteristic specification by an operator; c. defining by an operator a second set of data presentation characteristics, which are independent from said first set of data presentation characteristics for a second output means for at least a first portion of the document, without affecting the data presentation characteristics defined for said first output means, and associating said second set of data presentation characteristics with said first abstract format name during said abstract name characteristic specification; d. associating with every line in the document an abstract format name which is linked to a data presentation characteristic defining format; e. using said abstract format name characteristic specification to display the document during composition in a form substantially the same as the final format display; and f. responding to the entry of said first abstract format name during document production by formatting the lines in the document on the first output means to have said first set of data presentation characteristics associated with said first abstract format name and formatting the lines in the document on the second output means to have said second set of data presentation characteristics associated with said first abstract format name. 9. A method according to claim 1, wherein the first abstract format name simultaneously defines the format for at least said first portion of said document on a first CRT, a second, extended function CRT, a page printer, and a line printer. | 0.816514 |
8,103,873 | 8 | 9 | 8. The method as recited in claim 7 , further comprising quarantining the communication if the comparison returns a positive result. | 8. The method as recited in claim 7 , further comprising quarantining the communication if the comparison returns a positive result. 9. The method as recited in claim 8 , wherein quarantining the communication includes archiving the communication. | 0.632258 |
9,405,741 | 5 | 13 | 5. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, obtaining first input data regarding a first user utterance by a user; obtaining a characteristic of the user; performing speech processing on the first audio data to generate first speech processing results, the first speech processing results including contextual information indicating a context to which the first utterance relates; determining a first response using the first speech processing results, wherein the first response comprises a name of a content item; generating a profanity score for the name using an output filter model, the name, and the contextual information; identifying a sensitivity threshold for users having the characteristic; determining the profanity score for the name exceeds the sensitivity threshold; generating a first output using the first response, wherein (i) a portion of the first output corresponding to the name of the content item is modified or (ii) the name of the content item is modified before generating the first output; and transmitting the first output to a client device. | 5. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, obtaining first input data regarding a first user utterance by a user; obtaining a characteristic of the user; performing speech processing on the first audio data to generate first speech processing results, the first speech processing results including contextual information indicating a context to which the first utterance relates; determining a first response using the first speech processing results, wherein the first response comprises a name of a content item; generating a profanity score for the name using an output filter model, the name, and the contextual information; identifying a sensitivity threshold for users having the characteristic; determining the profanity score for the name exceeds the sensitivity threshold; generating a first output using the first response, wherein (i) a portion of the first output corresponding to the name of the content item is modified or (ii) the name of the content item is modified before generating the first output; and transmitting the first output to a client device. 13. The computer-implemented method of claim 5 , wherein the first output comprises one or more of text or audio data. | 0.832861 |
8,407,057 | 13 | 14 | 13. The computer program product according to claim 12 , wherein said first program instructions further comprise instructions to determine whether or not said unique command phrase exists in said conversational system and, if said unique command phrase is determined not to exist in said conversational system, said first program instructions further comprise instructions to create said unique command phrase. | 13. The computer program product according to claim 12 , wherein said first program instructions further comprise instructions to determine whether or not said unique command phrase exists in said conversational system and, if said unique command phrase is determined not to exist in said conversational system, said first program instructions further comprise instructions to create said unique command phrase. 14. The computer program product according to claim 13 , wherein said second program instructions further comprise instructions to observe said one or more action command sequences, and to build said command list for execution of said one or more action command sequences in response to utterance of said new command phrase. | 0.5 |
8,402,427 | 28 | 30 | 28. The apparatus of claim 27 , further comprising means for employing the web application generator to select the input tag from a prescribed group of input tags. | 28. The apparatus of claim 27 , further comprising means for employing the web application generator to select the input tag from a prescribed group of input tags. 30. The apparatus of claim 28 , further comprising means for employing the web application generator to search for the attribute within the input tag. | 0.814815 |
9,740,687 | 1 | 8 | 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. 8. The method of claim 1 , wherein the baseline prediction or current prediction comprises a probability distribution across multiple languages. | 0.856 |
8,527,508 | 11 | 12 | 11. The input assistance method according to claim 7 further comprising: referring to stored number of times a user selects an input candidate having a specified priority in a display order; and notifying a number of times an input candidate having the specified priority is selected is equal to or more than a threshold. | 11. The input assistance method according to claim 7 further comprising: referring to stored number of times a user selects an input candidate having a specified priority in a display order; and notifying a number of times an input candidate having the specified priority is selected is equal to or more than a threshold. 12. The input assistance method according to claim 11 , wherein the specified priority is a high priority. | 0.5 |
9,208,214 | 1 | 6 | 1. A method, implemented by an information handling system, comprising: identifying an expansion clause within a Structured Query Language (SQL) statement, wherein the SQL statement identifies a relational database table; comparing one or more column attributes associated with the identified relational database table to one or more attributes included in the identified expansion clause; selecting one or more columns included in the relational database table based on the comparison; generating a plurality of SQL column selection statements, with each of the generated SQL column selection statements corresponding to a different one of the selected one or more columns; and including the generated SQL column selection statements in the SQL statement. | 1. A method, implemented by an information handling system, comprising: identifying an expansion clause within a Structured Query Language (SQL) statement, wherein the SQL statement identifies a relational database table; comparing one or more column attributes associated with the identified relational database table to one or more attributes included in the identified expansion clause; selecting one or more columns included in the relational database table based on the comparison; generating a plurality of SQL column selection statements, with each of the generated SQL column selection statements corresponding to a different one of the selected one or more columns; and including the generated SQL column selection statements in the SQL statement. 6. The method of claim 1 wherein the identifying, comparing, selecting, generating, and including are performed by an expansion clause processor that is built into a relational database management system (DBMS), and wherein the method further comprises: executing the generated SQL column selection statements included in the SQL statement by the DBMS, wherein the executing results in a set of database results. | 0.68062 |
9,535,891 | 10 | 11 | 10. The system according to claim 1 , wherein the asynchronous request includes information about the most recently received output text string at the text viewer. | 10. The system according to claim 1 , wherein the asynchronous request includes information about the most recently received output text string at the text viewer. 11. The system according to claim 10 , wherein the information includes an index position of a last character of the most recently received output text string at the text viewer. | 0.5 |
9,443,287 | 3 | 5 | 3. The image processing method according to claim 1 , wherein: the second image is an image showing a result of classifying multiple types of object images contained in the first image, and the method further comprises: providing the multiple first and second dictionaries produced by the dictionary learning that uses a first training image relevant to the first image and multiple vector data as a second training image showing the types of the respective object images; performing, on each of the multiple first dictionaries, a process to approximate a partial image extracted from the first image by the linear combination of the elements of the first dictionary so as to produce a linear combination coefficient and thereby acquiring the multiple linear combination coefficients, and then selecting the specific linear combination coefficient from the multiple linear combination coefficients; producing a classification vector by using the linear combination of the specific linear combination coefficient and the elements of the specific dictionary and determining the type of the object image in the partial image by using the classification vector; performing, on each of the partial images plurally extracted from the entire first image, the selection of the specific linear combination coefficient and the determination of the type of the object image using the classification vector and the multiple vector data; and producing the second image depending on the type of the object image determined in each of the partial images. | 3. The image processing method according to claim 1 , wherein: the second image is an image showing a result of classifying multiple types of object images contained in the first image, and the method further comprises: providing the multiple first and second dictionaries produced by the dictionary learning that uses a first training image relevant to the first image and multiple vector data as a second training image showing the types of the respective object images; performing, on each of the multiple first dictionaries, a process to approximate a partial image extracted from the first image by the linear combination of the elements of the first dictionary so as to produce a linear combination coefficient and thereby acquiring the multiple linear combination coefficients, and then selecting the specific linear combination coefficient from the multiple linear combination coefficients; producing a classification vector by using the linear combination of the specific linear combination coefficient and the elements of the specific dictionary and determining the type of the object image in the partial image by using the classification vector; performing, on each of the partial images plurally extracted from the entire first image, the selection of the specific linear combination coefficient and the determination of the type of the object image using the classification vector and the multiple vector data; and producing the second image depending on the type of the object image determined in each of the partial images. 5. The image processing method according to claim 3 , further comprising: extracting multiple training partial images from the first training image; producing an AC component that is acquired by subtracting, from pixel values distributed in each of the multiple training partial images, an average of the pixel values; converting the AC component of each of the multiple training partial images into a vector to produce an AC vector; performing, on each of the multiple training partial images, a process to combine the AC vector with the vector data showing the type of the object image of the training partial image from which the AC vector is produced so as to produce a training vector and thereby producing multiple training vectors; clustering the multiple training vectors to produce multiple clusters each containing the training vectors similar to one another; performing, on each of the multiple clusters, a process to produce a dictionary matrix from the cluster by using a dictionary learning algorithm to produce multiple dictionary matrices; and producing the first and second dictionaries from each of the multiple dictionary matrices. | 0.5 |
9,838,259 | 17 | 20 | 17. An application traffic manager apparatus comprising memory comprising programmed instructions stored in the memory and one or more processors configured to be capable of executing the programmed instructions stored in the memory to: determine when a DNS request to resolve a hostname comprises a domain name with a value indicating a type of internet protocol version; truncate the internet protocol version value from the DNS request when the domain name and the internet protocol version value is present and prior to querying at least one of a plurality of servers for an internet protocol address associated with the DNS request; receive the internet protocol address from the at least one of a plurality of servers; determine when a format of the received internet protocol address conforms to one or more policies; and perform one or more actions based on the determination of the conformance of the received internet protocol address. | 17. An application traffic manager apparatus comprising memory comprising programmed instructions stored in the memory and one or more processors configured to be capable of executing the programmed instructions stored in the memory to: determine when a DNS request to resolve a hostname comprises a domain name with a value indicating a type of internet protocol version; truncate the internet protocol version value from the DNS request when the domain name and the internet protocol version value is present and prior to querying at least one of a plurality of servers for an internet protocol address associated with the DNS request; receive the internet protocol address from the at least one of a plurality of servers; determine when a format of the received internet protocol address conforms to one or more policies; and perform one or more actions based on the determination of the conformance of the received internet protocol address. 20. The device as set forth in claim 17 wherein the one or more processors are further configured to be capable of executing the programmed instructions stored in the memory wherein for the determining if the format of the received internet protocol address conforms to the one or more policies further comprises process the received response to perform one or more actions based on one or more rules when the internet protocol address is determined to be non-conforming to the one or more policies. | 0.605845 |
7,856,472 | 71 | 124 | 71. The computer program product of claim 70 , wherein the first wherein the first messages are associated with a first online forum. | 71. The computer program product of claim 70 , wherein the first wherein the first messages are associated with a first online forum. 124. The computer program product of claim 71 , wherein the computer program product is configured such that the first online forum includes at least one of a message board and a newsgroup. | 0.597872 |
8,682,304 | 1 | 13 | 1. A method of providing voicemail to a mobile telephone, in which a caller initiates a voice call to the mobile telephone, but that call is diverted to a voicemail server, with the caller then leaving a voice message on the voicemail server, the method comprising the steps of: when a recording time of the voice message exceeds a maximum time, sending a standard notification to the mobile telephone indicating that an end-user of the mobile telephone has a new voicemail to listen to; when the recording time of the voice message is less than a maximum time: converting the voice message to an audio file format; sending or streaming the audio file to a voice to text transcription system comprising at least one computer adapted to play back the voice message to an operator to enable the operator to transcribe the voice message into the computer to generate a transcribed text message; including a unique identification in the transcribed text message that links the text message to the voice message held at the voicemail server; sending the transcribed text message to the mobile phone; and providing the voice message held at the server to the mobile telephone when the end-user of the mobile telephone selects or uses the unique identification. | 1. A method of providing voicemail to a mobile telephone, in which a caller initiates a voice call to the mobile telephone, but that call is diverted to a voicemail server, with the caller then leaving a voice message on the voicemail server, the method comprising the steps of: when a recording time of the voice message exceeds a maximum time, sending a standard notification to the mobile telephone indicating that an end-user of the mobile telephone has a new voicemail to listen to; when the recording time of the voice message is less than a maximum time: converting the voice message to an audio file format; sending or streaming the audio file to a voice to text transcription system comprising at least one computer adapted to play back the voice message to an operator to enable the operator to transcribe the voice message into the computer to generate a transcribed text message; including a unique identification in the transcribed text message that links the text message to the voice message held at the voicemail server; sending the transcribed text message to the mobile phone; and providing the voice message held at the server to the mobile telephone when the end-user of the mobile telephone selects or uses the unique identification. 13. The method of claim 1 in which the text message is a SMS or MMS text message. | 0.855357 |
8,515,888 | 7 | 8 | 7. The method of claim 1 wherein the interactive link includes an affiliate code. | 7. The method of claim 1 wherein the interactive link includes an affiliate code. 8. The method of claim 7 wherein the affiliate code is used by the resource to identify an account. | 0.5 |
9,606,716 | 1 | 11 | 1. A method comprising: identifying, on a touchscreen display, a drag area in a user interface of a first mobile application in response to a drag command from a user of a mobile device; identifying an entity from a graph-based data store based on recognition performed on content in the drag area; receiving a drop location associated with a second mobile application, the second mobile application differing from the first mobile application; determining an action to be performed in the second mobile application based on the drop location; and performing the action in the second mobile application using the entity. | 1. A method comprising: identifying, on a touchscreen display, a drag area in a user interface of a first mobile application in response to a drag command from a user of a mobile device; identifying an entity from a graph-based data store based on recognition performed on content in the drag area; receiving a drop location associated with a second mobile application, the second mobile application differing from the first mobile application; determining an action to be performed in the second mobile application based on the drop location; and performing the action in the second mobile application using the entity. 11. The method of claim 1 , wherein the drag area includes an image and the entity is recognized in the image. | 0.89 |
10,157,344 | 9 | 10 | 9. The system of claim 8 , wherein the operations for calculating the edge strength between the selected entity and the second entity further comprise: determining an amount of navigation between the selected entity and the second entity. | 9. The system of claim 8 , wherein the operations for calculating the edge strength between the selected entity and the second entity further comprise: determining an amount of navigation between the selected entity and the second entity. 10. The system of claim 9 , wherein the operations for determining the amount of navigation between the selected entity and the second entity include: determining user session boundaries for determining related navigation history. | 0.5 |
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