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15. 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 a first speech utterance beginning with a hotword followed by a particular phrase, the particular phrase not currently designated as a hotword; in response to receiving the first speech utterance beginning with the hotword, triggering semantic interpretation on the particular phrase following the hotword; designating the particular phrase as a new hotword based on the sematic interpretation determining that the particular phrase satisfies one or more predetermined criteria associated with designating voice commands as hotwords; and after designating the particular phrase as a new hotword and while the computing device is in a sleep state, receiving a second speech utterance beginning with the particular phrase, the particular phrase when designated as the new hotword causing the computing device to transition out of the sleep state and process the second speech utterance as a voice command. | 15. 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 a first speech utterance beginning with a hotword followed by a particular phrase, the particular phrase not currently designated as a hotword; in response to receiving the first speech utterance beginning with the hotword, triggering semantic interpretation on the particular phrase following the hotword; designating the particular phrase as a new hotword based on the sematic interpretation determining that the particular phrase satisfies one or more predetermined criteria associated with designating voice commands as hotwords; and after designating the particular phrase as a new hotword and while the computing device is in a sleep state, receiving a second speech utterance beginning with the particular phrase, the particular phrase when designated as the new hotword causing the computing device to transition out of the sleep state and process the second speech utterance as a voice command. 20. The computer-readable medium of claim 15 , wherein determining that the particular phrase satisfies one or more predetermined criteria associated with designating voice commands as hotwords comprises: determining a score of phonetic suitability of the particular phrase in a previously-uttered voice command by the user; and comparing the score of phonetic suitability to a predetermined threshold to determine a likelihood that an automated speech recognition system correctly transcribes the particular phrase in future utterances. | 0.5 |
1. A method for adding a voice soundtrack and/or subtitles to a visual presentation, said method allowing speech text and/or subtitles to be inputted and linked with individual screen objects in said presentation to provide verbal and visual descriptions, explanations and elaborations of said screen objects that are timewise-coordinated with visual animations of said screen objects during said presentation said presentation being produced by a computer system comprising hardware and software elements; the hardware elements including a processor, a display means and a speaker, the software elements comprising a speech synthesizer/speech engine, text-to-speech voices, a database platform and a software presentation application, said method including the following steps: identifying screen objects within a visual presentation on the display means to which speech text and/or subtitles are to be linked, said screen objects comprising shapes and/or text paragraphs where said shapes are non-textual elements, said screen objects having associated visual animation effects, selected from the group consisting of sequential animation effects and interactive animation effects, wherein the screen object is called “-sequentially-animated-” and “-interactively-animated-”, respectively, and tabulating said screen objects; inputting speech text elements to be synthesized into speech and read by text-to-speech voices and/or inputting display text elements to be displayed as subtitles, and tabulating the speech text elements and/or display text elements, said tabulation including tabulating said speech text elements and/or display text elements together as speech items in a speech items table; linking said speech items to said screen objects (link 1), wherein the speech and display text elements of said speech items describe, explain and elaborate the screen objects to which the speech items are linked; identifying two or more voice roles, said voice role being a set of voice characteristics comprising gender, age, language, and character type, and tabulating the voice roles in a voice roles table wherein said voice roles are associated with text-to-speech voices available to the computer; grouping similar screen objects to be associated with the same voice role together (link 2), the collection of said groupings being denoted “-voice shape types-”, and tabulating the voice shape types in a voice shape types table; classifying said voice shape types according to said voice roles by a voice scheme comprising links (link 3), and tabulating the voice scheme in a voice scheme table; creating sound media effects and/or subtitle animation effects to be associated with said screen objects, said sound media effects being generated by the synthesizing and text-to-speech reading of the speech text elements of the speech items linked by link 1 to said screen objects, the voice role used in reading said speech text element being determined by first determining the voice shape type that is linked to said screen object by link 2, and then determining the voice role that is linked to said voice shape type by link 3, said voice role being associated with a particular text-to-speech voice available to the computer which is used to read said speech text element, and said subtitle animation effects being created from the display text elements of said linked speech items; positioning said sound media effects and/or subtitle animation effects associated with sequentially-animated screen objects in juxtaposition with said sequential animation effects in the slide animation sequence, and positioning said sound media effects and/or subtitle animation effects associated with interactively-animated screen objects in juxtaposition with said interactive animation effects, the result being that said sound media effects and subtitle animation effects are timewise-coordinated with the visual animation effects of said screen objects in the presentation wherein as the presentation or slide show plays, the verbal and visual descriptions, explanations and elaborations of said screen objects provided by the speech items occur in timewise coordination with the visual animations of said screen objects, wherein the method further comprises relinking a speech item from one screen object to another screen object. | 1. A method for adding a voice soundtrack and/or subtitles to a visual presentation, said method allowing speech text and/or subtitles to be inputted and linked with individual screen objects in said presentation to provide verbal and visual descriptions, explanations and elaborations of said screen objects that are timewise-coordinated with visual animations of said screen objects during said presentation said presentation being produced by a computer system comprising hardware and software elements; the hardware elements including a processor, a display means and a speaker, the software elements comprising a speech synthesizer/speech engine, text-to-speech voices, a database platform and a software presentation application, said method including the following steps: identifying screen objects within a visual presentation on the display means to which speech text and/or subtitles are to be linked, said screen objects comprising shapes and/or text paragraphs where said shapes are non-textual elements, said screen objects having associated visual animation effects, selected from the group consisting of sequential animation effects and interactive animation effects, wherein the screen object is called “-sequentially-animated-” and “-interactively-animated-”, respectively, and tabulating said screen objects; inputting speech text elements to be synthesized into speech and read by text-to-speech voices and/or inputting display text elements to be displayed as subtitles, and tabulating the speech text elements and/or display text elements, said tabulation including tabulating said speech text elements and/or display text elements together as speech items in a speech items table; linking said speech items to said screen objects (link 1), wherein the speech and display text elements of said speech items describe, explain and elaborate the screen objects to which the speech items are linked; identifying two or more voice roles, said voice role being a set of voice characteristics comprising gender, age, language, and character type, and tabulating the voice roles in a voice roles table wherein said voice roles are associated with text-to-speech voices available to the computer; grouping similar screen objects to be associated with the same voice role together (link 2), the collection of said groupings being denoted “-voice shape types-”, and tabulating the voice shape types in a voice shape types table; classifying said voice shape types according to said voice roles by a voice scheme comprising links (link 3), and tabulating the voice scheme in a voice scheme table; creating sound media effects and/or subtitle animation effects to be associated with said screen objects, said sound media effects being generated by the synthesizing and text-to-speech reading of the speech text elements of the speech items linked by link 1 to said screen objects, the voice role used in reading said speech text element being determined by first determining the voice shape type that is linked to said screen object by link 2, and then determining the voice role that is linked to said voice shape type by link 3, said voice role being associated with a particular text-to-speech voice available to the computer which is used to read said speech text element, and said subtitle animation effects being created from the display text elements of said linked speech items; positioning said sound media effects and/or subtitle animation effects associated with sequentially-animated screen objects in juxtaposition with said sequential animation effects in the slide animation sequence, and positioning said sound media effects and/or subtitle animation effects associated with interactively-animated screen objects in juxtaposition with said interactive animation effects, the result being that said sound media effects and subtitle animation effects are timewise-coordinated with the visual animation effects of said screen objects in the presentation wherein as the presentation or slide show plays, the verbal and visual descriptions, explanations and elaborations of said screen objects provided by the speech items occur in timewise coordination with the visual animations of said screen objects, wherein the method further comprises relinking a speech item from one screen object to another screen object. 5. The method of claim 1 wherein said text paragraphs are selected from the group consisting of text in text placeholders, and text in text boxes. | 0.84751 |
7. The computer-implemented method of claim 1 , further comprising: generating an identifier based on the like-pronunciation group; and associating the identifier with the substitute pronunciation. | 7. The computer-implemented method of claim 1 , further comprising: generating an identifier based on the like-pronunciation group; and associating the identifier with the substitute pronunciation. 10. The computer-implemented method of claim 7 , further comprising: identifying a mapping between the substitute pronunciation and an actual pronunciation for the one or more corresponding phones of the actual phonetic transcription; associating the mapping with the identifier; and storing the association and the mapping in the confusion matrix. | 0.960485 |
1. A priorities system, comprising: a classifier configured to assign priorities to one or more messages according to one or more degrees of classification; a component that determines expected loss to a user of non-review of one or more messages based on at least determining likelihood that the user will review the one or more messages at a future time; and a message subsystem associated with the classifier to process the one or more messages according to the assigned priorities. | 1. A priorities system, comprising: a classifier configured to assign priorities to one or more messages according to one or more degrees of classification; a component that determines expected loss to a user of non-review of one or more messages based on at least determining likelihood that the user will review the one or more messages at a future time; and a message subsystem associated with the classifier to process the one or more messages according to the assigned priorities. 3. The system of claim 1 , wherein the message subsystem is at least one of an e-mail program, a routing system, and an alerting system. | 0.578571 |
14. A computer-implemented method for revising an initial query execution plan for a query in a database management system on the computer, comprising: using the computer to perform the following: computing a direct acyclic graph for the query; defining a power hints language where expressions in the power hints language are tree patterns in the acyclic graph annotated with constraints; constraining the query using a power hints language expression that is appended to the query and contains a predicate; enumerating each of the possible query execution plans in the direct acyclic graph; filtering out the possible query execution plans that do not match the power hints language expression; and finding a matching query execution plan have a lowest estimated cost to determine a revised query execution plan, which is a revision of the initial query execution plan for the query. | 14. A computer-implemented method for revising an initial query execution plan for a query in a database management system on the computer, comprising: using the computer to perform the following: computing a direct acyclic graph for the query; defining a power hints language where expressions in the power hints language are tree patterns in the acyclic graph annotated with constraints; constraining the query using a power hints language expression that is appended to the query and contains a predicate; enumerating each of the possible query execution plans in the direct acyclic graph; filtering out the possible query execution plans that do not match the power hints language expression; and finding a matching query execution plan have a lowest estimated cost to determine a revised query execution plan, which is a revision of the initial query execution plan for the query. 18. The method of claim 14 , further comprising: presenting the revised query execution plan to a user in a graphical manner on a flexible query hints user interface; determining whether the user is satisfied with the revised query execution plan; if the user is not satisfied, then allowing the user to create another power hints language expression to further constrain the query; and continuing the process of presenting the revised query execution plan to the user, determining whether the user is satisfied, and, if not, creating another power hints language expression until the user is satisfied. | 0.594239 |
15. A computer-readable memory device with instructions stored thereon for generating speech employing compressed concatenation cost data, the instructions comprising: determining, based on a matrix of concatenation costs, feature vectors for speech segments, wherein the matrix of concatenation costs is constructed along a preceding speech segment and a following speech segment for each segment applying distance weighting to one of: the speech segments and at least two consecutive speech segments, wherein the distance weighting is based on feature vectors associated with the speech segments or is based on feature vectors associated with the at least two consecutive speech segments clustering the speech segments into M preceding segment and N following segment groups such that an average distance between speech segments within each group is minimized; selecting a representative speech segment for each group; generating a compressed concatenation cost matrix such that a concatenation cost between the speech segments and the at least two consecutive speech segments is approximated by a concatenation cost between a representative segment associated with the speech segments and another representative speech segment associated with the at least two consecutive speech segments; and pre-saving the compressed concatenation cost matrix for real time computations in synthesizing speech. | 15. A computer-readable memory device with instructions stored thereon for generating speech employing compressed concatenation cost data, the instructions comprising: determining, based on a matrix of concatenation costs, feature vectors for speech segments, wherein the matrix of concatenation costs is constructed along a preceding speech segment and a following speech segment for each segment applying distance weighting to one of: the speech segments and at least two consecutive speech segments, wherein the distance weighting is based on feature vectors associated with the speech segments or is based on feature vectors associated with the at least two consecutive speech segments clustering the speech segments into M preceding segment and N following segment groups such that an average distance between speech segments within each group is minimized; selecting a representative speech segment for each group; generating a compressed concatenation cost matrix such that a concatenation cost between the speech segments and the at least two consecutive speech segments is approximated by a concatenation cost between a representative segment associated with the speech segments and another representative speech segment associated with the at least two consecutive speech segments; and pre-saving the compressed concatenation cost matrix for real time computations in synthesizing speech. 17. The computer-readable memory device of claim 15 , wherein the instructions further comprise: determining M and N based on at least one from a set of: a total number of speech segments, distances between the speech segments, and a desired reduction in concatenation cost data. | 0.526834 |
14. An information processing method comprising: retrieving first experience information of a person, the first experience information indicating a future experience of the person and including information related to non-geographical experience scene; retrieving second experience information of other people, the second experience information indicating future experiences of other people and including information related to non-geographical experience scene; and extracting, from among the other people, those people who have a commonality with the person based on the information including the non-geographical experience scene of the first experience information and the information including the non-geographical experience scene of the second experience information. | 14. An information processing method comprising: retrieving first experience information of a person, the first experience information indicating a future experience of the person and including information related to non-geographical experience scene; retrieving second experience information of other people, the second experience information indicating future experiences of other people and including information related to non-geographical experience scene; and extracting, from among the other people, those people who have a commonality with the person based on the information including the non-geographical experience scene of the first experience information and the information including the non-geographical experience scene of the second experience information. 18. The information processing method according to claim 14 , further comprising: generating a display indicating a relationship of the second experience information of the extracted people. | 0.701852 |
15. A method for deploying, on a server comprising a processor, a policy structure having a policy version in response to a policy deployment command specifying as a target parameter at least one client of a client set, respective clients supporting at least one policy version of the policy structure, the method comprising: executing on the processor instructions configured to: identify at least one client specified by the target parameter of the policy deployment command and supporting the policy version of the policy structure; upon identifying at least one unsupported policy object that is included in the policy version, where the unsupported policy object is applicable to the identified client and is not supported by the identified client, exclude the at least one unsupported policy object from the policy structure; and deploy the policy structure excluding the at least one unsupported policy object to at least one identified client. | 15. A method for deploying, on a server comprising a processor, a policy structure having a policy version in response to a policy deployment command specifying as a target parameter at least one client of a client set, respective clients supporting at least one policy version of the policy structure, the method comprising: executing on the processor instructions configured to: identify at least one client specified by the target parameter of the policy deployment command and supporting the policy version of the policy structure; upon identifying at least one unsupported policy object that is included in the policy version, where the unsupported policy object is applicable to the identified client and is not supported by the identified client, exclude the at least one unsupported policy object from the policy structure; and deploy the policy structure excluding the at least one unsupported policy object to at least one identified client. 20. The method of claim 15 , deploying the policy structure to the at least one client comprising: upon receiving on the client the policy structure from the server: storing on the client the policy structure received from the server; determining, by the client, whether the policy version value of the policy structure is supported by the client; and upon determining that the client supports the policy version value of the policy structure, implementing on the client the policy structure. | 0.744862 |
1. A computer-implemented method for analyzing media content, the method comprising: accessing demographics information of a plurality of users to identify a subset of the plurality of users; accessing outcome measure information of the subset of the plurality of users, the outcome measure information relating to a plurality of media content, the plurality of media content comprising a first media content and a second media content; calculating a first outcome measure for the first media content, the first outcome measure based on the outcome measure information; calculating a second outcome measure for the second media content, the second outcome measure based on the outcome measure information; accessing respective character models of one or more characters depicted in the first media content; accessing respective character models of one or more characters depicted in the second media content; determining, for the first media content: a first attribute value of a first attribute of the one or more characters depicted in the first media content, the determination based on the respective character models and in accordance with a first capture function; and a second attribute value of a second attribute of the one or more characters depicted in the first media content, the determination based on the respective character models and in accordance with a second capture function; determining, for the second media content: a third attribute value of the first attribute of the one or more characters depicted in the second media content, the determination based on the respective character models and in accordance with the first capture function; and a fourth attribute value of the second attribute of the one or more characters depicted in the second media content, the determination based on the respective character models and in accordance with the second capture function; and performing a regression using the first attribute value, the second attribute value, the third attribute value, the fourth attribute value, the first outcome measure, and the second outcome measure to determine at least one attribute of significance. | 1. A computer-implemented method for analyzing media content, the method comprising: accessing demographics information of a plurality of users to identify a subset of the plurality of users; accessing outcome measure information of the subset of the plurality of users, the outcome measure information relating to a plurality of media content, the plurality of media content comprising a first media content and a second media content; calculating a first outcome measure for the first media content, the first outcome measure based on the outcome measure information; calculating a second outcome measure for the second media content, the second outcome measure based on the outcome measure information; accessing respective character models of one or more characters depicted in the first media content; accessing respective character models of one or more characters depicted in the second media content; determining, for the first media content: a first attribute value of a first attribute of the one or more characters depicted in the first media content, the determination based on the respective character models and in accordance with a first capture function; and a second attribute value of a second attribute of the one or more characters depicted in the first media content, the determination based on the respective character models and in accordance with a second capture function; determining, for the second media content: a third attribute value of the first attribute of the one or more characters depicted in the second media content, the determination based on the respective character models and in accordance with the first capture function; and a fourth attribute value of the second attribute of the one or more characters depicted in the second media content, the determination based on the respective character models and in accordance with the second capture function; and performing a regression using the first attribute value, the second attribute value, the third attribute value, the fourth attribute value, the first outcome measure, and the second outcome measure to determine at least one attribute of significance. 3. The computer-implemented method of claim 1 , wherein the outcome measure information comprises video playback completion data for the first media content and the second media content and wherein the first attribute is different from the second attribute. | 0.894089 |
12. A non-transitory computer-readable storage medium storing executable computer program instructions for contextual personalized search comprising instructions for performing the steps comprising: accessing a knowledge base comprising a hierarchy of nodes, each node associated with a concept, each concept being an instance of a category, wherein one or more documents are mapped to each of the nodes of the knowledge base; receiving an input query for a search for one or more of the documents mapped to the nodes, the input query comprising a plurality of components; mapping at least some of the components of the search query into the knowledge base, each of the at least some of the components mapped to at least one of the nodes of the knowledge base having a concept that matches the component as a query concept; matching the query concepts to documents mapped to the knowledge base that match the query concepts, the matching performed by: traversing the hierarchy of the knowledge base to match nodes of each of the query concepts across other nodes in the hierarchy of the knowledge base to a plurality of target nodes, at least one of the query concepts being in a first category and being a) matched using transitivity from the first category through at least one second category to at least one of the target nodes in a third category, or being b) matched using transitive closure to a plurality of the target nodes in the first category; selecting, as matches for the input query, each of the documents mapped to one of the target nodes, the selected documents being target documents for the input query; scoring each of the target documents against each of the query concepts to provide a score for each of the target documents; and generating a search result for the input query, the search result comprising at least some of the target documents in ranked order based on the score for each target document. | 12. A non-transitory computer-readable storage medium storing executable computer program instructions for contextual personalized search comprising instructions for performing the steps comprising: accessing a knowledge base comprising a hierarchy of nodes, each node associated with a concept, each concept being an instance of a category, wherein one or more documents are mapped to each of the nodes of the knowledge base; receiving an input query for a search for one or more of the documents mapped to the nodes, the input query comprising a plurality of components; mapping at least some of the components of the search query into the knowledge base, each of the at least some of the components mapped to at least one of the nodes of the knowledge base having a concept that matches the component as a query concept; matching the query concepts to documents mapped to the knowledge base that match the query concepts, the matching performed by: traversing the hierarchy of the knowledge base to match nodes of each of the query concepts across other nodes in the hierarchy of the knowledge base to a plurality of target nodes, at least one of the query concepts being in a first category and being a) matched using transitivity from the first category through at least one second category to at least one of the target nodes in a third category, or being b) matched using transitive closure to a plurality of the target nodes in the first category; selecting, as matches for the input query, each of the documents mapped to one of the target nodes, the selected documents being target documents for the input query; scoring each of the target documents against each of the query concepts to provide a score for each of the target documents; and generating a search result for the input query, the search result comprising at least some of the target documents in ranked order based on the score for each target document. 20. The non-transitory computer-readable storage medium of claim 12 , further comprising mapping the one or more documents into a plurality of knowledge bases, the mapping comprising: identifying and searching for concepts referenced in a string of text in each of the one or more documents by matching expression patterns to the string; parsing the string into sub-strings based on the expression patterns; searching through the knowledge bases to find concepts based on the sub-strings; applying a rule set for parsing the string; and defining a string normalization function for mapping one string to another string, the string normalization function converting strings into common character representations for finding matches with concepts in the knowledge bases. | 0.5 |
1. A method comprising: retrieving, from one or more data stores, information associated with one or more nodes, a node comprising a user node or a concept node, each node being connected by edges to other nodes of a social graph; detecting that a first user is entering an input term, the first user being associated with a first user node of the social graph; providing predictive typeahead results as the first user enters the input term, the predictive typeahead results being based on the input term, each predictive typeahead result corresponding to at least one node of the social graph, each predictive typeahead result including at least one image associated with one of the at least one node. | 1. A method comprising: retrieving, from one or more data stores, information associated with one or more nodes, a node comprising a user node or a concept node, each node being connected by edges to other nodes of a social graph; detecting that a first user is entering an input term, the first user being associated with a first user node of the social graph; providing predictive typeahead results as the first user enters the input term, the predictive typeahead results being based on the input term, each predictive typeahead result corresponding to at least one node of the social graph, each predictive typeahead result including at least one image associated with one of the at least one node. 6. The method of claim 1 , wherein: at least one node in the social graph comprises a second user node associated with a second user, the social graph identifying a relationship between the first user and the second user; at least one node in the social graph comprises a concept node associated with a concept; and providing a predictive typeahead result corresponding to the at least one node comprises providing, based on a measure of affinity between the second user and the concept, a predictive typeahead result corresponding to the concept node. | 0.603663 |
8. The computer-implemented method of claim 1 , wherein utilizing both the query and the computing device's location to determine if an implicit local intent is present comprises accessing query log data compiled for a plurality of users. | 8. The computer-implemented method of claim 1 , wherein utilizing both the query and the computing device's location to determine if an implicit local intent is present comprises accessing query log data compiled for a plurality of users. 9. The computer-implemented method of claim 8 , wherein the query log data includes at least one of session data, session data with locations, query location data, and click data. | 0.946568 |
17. A decoding method comprising the steps of: maintaining a mapping that maps a plurality of encoding sequences, each of which includes at least one encoding symbol chosen from an encoding symbol set, to a plurality of decoding sequences, each of which includes at least one decoding symbol chosen from a decoding symbol set which is used by non-logographic languages; receiving encoding symbol or symbols into an input sequence; generating a plurality of encoding sequence combinations if the length of the input sequence is greater than one; selecting one of the encoding sequence combinations; mapping the selected encoding sequence combination into an output sequence according to the mapping; outputting the output sequence. | 17. A decoding method comprising the steps of: maintaining a mapping that maps a plurality of encoding sequences, each of which includes at least one encoding symbol chosen from an encoding symbol set, to a plurality of decoding sequences, each of which includes at least one decoding symbol chosen from a decoding symbol set which is used by non-logographic languages; receiving encoding symbol or symbols into an input sequence; generating a plurality of encoding sequence combinations if the length of the input sequence is greater than one; selecting one of the encoding sequence combinations; mapping the selected encoding sequence combination into an output sequence according to the mapping; outputting the output sequence. 18. The decoding method of claim 17 , wherein a portion of the mapping serving as a dictionary, wherein the dictionary including user acceptable correlationship between encoding sequences and decoding sequences. | 0.652429 |
15. A system, comprising: a memory unit for storing a computer program for ensuring that a composed message is being sent to an appropriate recipient; and a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising: detecting a message being composed by an author; identifying a recipient to receive said composed message; analyzing said composed message to identify the following characteristics: a topic, a greeting, a dialect, a conversation pattern and a language pattern, wherein said conversation pattern comprises one or more of the following: a conversation tone, use of abbreviations, formality of words and use of emotion words; obtaining a first profile storing information regarding characteristics of said recipient containing the following: a name, a language, a location, a gender, an age, an ethnicity, a social group, an expertise, interests, topic affinities for particular users, a language pattern, historical topics discussed, topic discussed in current conversation thread and a conversation pattern; generating a score based on a consistency between said characteristics of said analyzed message with said characteristics of said recipient obtained from said first profile; issuing a notification to said author to ensure that said recipient is a correct recipient to receive said composed message in response to said score being less than a threshold value; and allowing said composed message to be sent to said recipient without issuing said notification to said author in response to said score not being less than said threshold value. | 15. A system, comprising: a memory unit for storing a computer program for ensuring that a composed message is being sent to an appropriate recipient; and a processor coupled to the memory unit, wherein the processor is configured to execute the program instructions of the computer program comprising: detecting a message being composed by an author; identifying a recipient to receive said composed message; analyzing said composed message to identify the following characteristics: a topic, a greeting, a dialect, a conversation pattern and a language pattern, wherein said conversation pattern comprises one or more of the following: a conversation tone, use of abbreviations, formality of words and use of emotion words; obtaining a first profile storing information regarding characteristics of said recipient containing the following: a name, a language, a location, a gender, an age, an ethnicity, a social group, an expertise, interests, topic affinities for particular users, a language pattern, historical topics discussed, topic discussed in current conversation thread and a conversation pattern; generating a score based on a consistency between said characteristics of said analyzed message with said characteristics of said recipient obtained from said first profile; issuing a notification to said author to ensure that said recipient is a correct recipient to receive said composed message in response to said score being less than a threshold value; and allowing said composed message to be sent to said recipient without issuing said notification to said author in response to said score not being less than said threshold value. 18. The system as recited in claim 15 , wherein said first profile is populated with said characteristics of said recipient by monitoring messages composed by said recipient and extracting characteristics of said monitored messages comprising one or more of the following: said topic affinities for particular users, said language pattern, said historical topics discussed, said topic discussed in current conversation thread and said conversation pattern. | 0.562268 |
20. A computer program embodied on a non-transitory computer-readable medium, the program configured to cause at least one processor to: create instructions on how corresponding target application code is to be generated using a Resolution Notation Architecture (RNA), wherein a given RNA file categorically qualifies and defines how Data Notation Architecture (DNA) base pairs are resolved in the corresponding target application code; recursively resolve the RNA using recursive descent; and generate rendered code and markup files for a corresponding target application as a part of a Genetic layer to be executed by a computing system associated with the corresponding target application using the RNA to create precompiled RNA. | 20. A computer program embodied on a non-transitory computer-readable medium, the program configured to cause at least one processor to: create instructions on how corresponding target application code is to be generated using a Resolution Notation Architecture (RNA), wherein a given RNA file categorically qualifies and defines how Data Notation Architecture (DNA) base pairs are resolved in the corresponding target application code; recursively resolve the RNA using recursive descent; and generate rendered code and markup files for a corresponding target application as a part of a Genetic layer to be executed by a computing system associated with the corresponding target application using the RNA to create precompiled RNA. 25. The computer program of claim 20 , wherein the program is further configured to cause the at least one processor to: execute a categorical pre-qualifier, a categorical post-qualifier, or both; and use recursive descent to include the categorical pre-qualifier, the categorical post-qualifier, or both, in a given RNA file, wherein a categorical pre-qualifier is executed before resolution and a categorical post-qualifier is executed after resolution, and a given categorical qualifier refers to an attribute indicating whether certain fields are present. | 0.520885 |
2. A system in accordance with claim 1 wherein said limiting means comprises means for selecting the time interval from a third menu having predetermined time intervals. | 2. A system in accordance with claim 1 wherein said limiting means comprises means for selecting the time interval from a third menu having predetermined time intervals. 3. A system in accordance with claim 2 wherein said first menu, said second menu and said third menu each embody a plurality of interrelated templates providing auto-sequencing for selecting attributes and conditions defining temporal fluctuations of the historical market information according to attributes. | 0.926436 |
8. A method, comprising: obtaining a set of text, wherein the set of text includes user-generated content; determining, for the set of text, a numerical value for each of a plurality of objects, the numerical value indicating a likelihood that the corresponding one of the plurality of objects could have generated the set of text, the plurality of objects each representing a corresponding one of a plurality of entities; identifying one of the plurality of objects that, if the set of text were generated from one of the objects, is most likely to have generated the set of text based, at least in part, upon the numerical value that has been determined for each of the plurality of objects, wherein the identified one of the plurality of objects indicates the one of the plurality of entities that is most likely to be a primary subject of the set of text; associating the set of text with the identified one of the plurality of objects such that a plurality of sets of text associated with the identified one of the plurality of objects includes the set of text; and aggregating information from at least a portion of the plurality of sets of text. | 8. A method, comprising: obtaining a set of text, wherein the set of text includes user-generated content; determining, for the set of text, a numerical value for each of a plurality of objects, the numerical value indicating a likelihood that the corresponding one of the plurality of objects could have generated the set of text, the plurality of objects each representing a corresponding one of a plurality of entities; identifying one of the plurality of objects that, if the set of text were generated from one of the objects, is most likely to have generated the set of text based, at least in part, upon the numerical value that has been determined for each of the plurality of objects, wherein the identified one of the plurality of objects indicates the one of the plurality of entities that is most likely to be a primary subject of the set of text; associating the set of text with the identified one of the plurality of objects such that a plurality of sets of text associated with the identified one of the plurality of objects includes the set of text; and aggregating information from at least a portion of the plurality of sets of text. 15. The method as recited in claim 8 , further comprising: obtaining a training set, the training set including a plurality of text-object pairs, each of the plurality of text-object pairs including a set of text and an object that is a subject of the set of text; and ascertaining, for the set of text, values for a set of one or more parameters based, at least in part, upon the training set. | 0.5 |
15. A computer system for managing links in a Darwin Information Typing Architecture (DITA), comprising: a processor configured for selecting in a graphical user interface an information unit file comprising a plurality of topics; displaying in the graphical user interface the plurality of topics included in the selected information unit file; selecting a topic from the plurality of topics; selecting in the graphical user interface a relationship management file comprising a DITA map comprising a relationship table comprising a multiplicity of links each of the links relating one of the topics in the selected information unit file to another of the topics in the selected information unit file; displaying in the graphical user interface all links included in the selected relationship management file for the selected topic, wherein each link comprises a reference to and/or from a second topic; and adding a link to the relationship management file by iterating through each topic of the selected information unit file in the relationship table of the selected relationship management file and adding a corresponding reference to an appropriate cell of the relationship table. | 15. A computer system for managing links in a Darwin Information Typing Architecture (DITA), comprising: a processor configured for selecting in a graphical user interface an information unit file comprising a plurality of topics; displaying in the graphical user interface the plurality of topics included in the selected information unit file; selecting a topic from the plurality of topics; selecting in the graphical user interface a relationship management file comprising a DITA map comprising a relationship table comprising a multiplicity of links each of the links relating one of the topics in the selected information unit file to another of the topics in the selected information unit file; displaying in the graphical user interface all links included in the selected relationship management file for the selected topic, wherein each link comprises a reference to and/or from a second topic; and adding a link to the relationship management file by iterating through each topic of the selected information unit file in the relationship table of the selected relationship management file and adding a corresponding reference to an appropriate cell of the relationship table. 18. The computer system of claim 15 , wherein the graphical user interface displays a title for each of the plurality of topics. | 0.832661 |
1. An information processing device for associating first text information with first numerical information of a time series of a given indicator, comprising: a first phrase database for storing a first phrase, representing a change in first numerical information over a first time period, generated based on changes in said first numerical information, in association with the first time period and with the first numerical information; wherein, said first phrase indicates whether said first numerical information has risen, declined, or stably shifted according to one or more predetermined thresholds within the first time period; an associating portion for associating said first numerical information and first text information based on said first phrase; an outputting portion for outputting said first numerical information and said first text information for said first time period corresponding to said first phrase, associated by said associating portion; said associating portion comprises a first retrieving portion that retrieves said first text information using a first retrieval condition that includes said first phrase, wherein said first retrieving portion normalizes an instance of the first phrase with a superordinate concept or a subordinate concept with a predetermined synonym dictionary, and wherein said first retrieving portion retrieves said first text information including said normalized instance of the first phrase; said outputting portion outputs said retrieved first text information associated with said first numerical information in said first time period; said first phrase database stores said first phrase that indicates a change in said first numerical information in the first time period, and associated with the first numerical information, for each of a plurality of second numerical information including said first numerical information; wherein said associating portion comprises a central processing unit controlling: an extracting portion for extracting, from said retrieved first text information, a second phrase indicating a change in third numerical information; an index registration unit for registering the second phrase as first index information for each of a plurality of pieces of the retrieved first text information; a second phrase database for storing the registered first index information; a second retrieving portion for retrieving, from said second numerical information, a fourth numerical information associated with said first phrase that satisfies second retrieval conditions, using the second retrieval conditions including said second phrase; the second retrieving portion configured to retrieve a second time period corresponding to the first phrase matching said second retrieval conditions including said second phrase, in which the second phrase indicates the change in the third numerical information; wherein: said outputting portion further outputs by a command of the central processing unit, in association with said retrieved first text information, said fourth numerical information, retrieved by said second retrieving portion including said second time period. | 1. An information processing device for associating first text information with first numerical information of a time series of a given indicator, comprising: a first phrase database for storing a first phrase, representing a change in first numerical information over a first time period, generated based on changes in said first numerical information, in association with the first time period and with the first numerical information; wherein, said first phrase indicates whether said first numerical information has risen, declined, or stably shifted according to one or more predetermined thresholds within the first time period; an associating portion for associating said first numerical information and first text information based on said first phrase; an outputting portion for outputting said first numerical information and said first text information for said first time period corresponding to said first phrase, associated by said associating portion; said associating portion comprises a first retrieving portion that retrieves said first text information using a first retrieval condition that includes said first phrase, wherein said first retrieving portion normalizes an instance of the first phrase with a superordinate concept or a subordinate concept with a predetermined synonym dictionary, and wherein said first retrieving portion retrieves said first text information including said normalized instance of the first phrase; said outputting portion outputs said retrieved first text information associated with said first numerical information in said first time period; said first phrase database stores said first phrase that indicates a change in said first numerical information in the first time period, and associated with the first numerical information, for each of a plurality of second numerical information including said first numerical information; wherein said associating portion comprises a central processing unit controlling: an extracting portion for extracting, from said retrieved first text information, a second phrase indicating a change in third numerical information; an index registration unit for registering the second phrase as first index information for each of a plurality of pieces of the retrieved first text information; a second phrase database for storing the registered first index information; a second retrieving portion for retrieving, from said second numerical information, a fourth numerical information associated with said first phrase that satisfies second retrieval conditions, using the second retrieval conditions including said second phrase; the second retrieving portion configured to retrieve a second time period corresponding to the first phrase matching said second retrieval conditions including said second phrase, in which the second phrase indicates the change in the third numerical information; wherein: said outputting portion further outputs by a command of the central processing unit, in association with said retrieved first text information, said fourth numerical information, retrieved by said second retrieving portion including said second time period. 2. The information processing device as set forth in claim 1 , wherein: said outputting portion: outputs so as to display to a user said retrieved first text information retrieved by said first retrieving portion so that a location corresponding to said first retrieval conditions is identifiable; and outputs so as to display said fourth numerical information to the user when said location corresponding to said first retrieval conditions is selected by the user. | 0.5 |
19. The method of claim 18 wherein each digital word of said signature and said parametized signals is derived by comparing the average luminances of selected areas of a frame of said segment to the average luminance of at least one reference area, each of said selected areas providing a bit of said digital word. | 19. The method of claim 18 wherein each digital word of said signature and said parametized signals is derived by comparing the average luminances of selected areas of a frame of said segment to the average luminance of at least one reference area, each of said selected areas providing a bit of said digital word. 20. The method of claim 19 wherein said selected areas are asymmetrically spaced about the center of said frame. | 0.954479 |
6. The system of claim 5 , wherein the discovery protocols implement a “broadcast and listen” methodology. | 6. The system of claim 5 , wherein the discovery protocols implement a “broadcast and listen” methodology. 7. The system of claim 6 , wherein the discovery protocols are implemented for establishing a dynamic and spontaneous network between at least the first and second network device. | 0.945554 |
1. A method for generating a graph segment providing a gist or summary of an online social network conversation, the method comprising: generating, by a processor, a graph of the online social network conversation, wherein the graph of the online social network conversation comprises a plurality of nodes and each node connecting at least one other node by an edge, each node representing a message of the online social network conversation and each edge corresponding to an action by a participant in the online social network conversation; determining, by the processor, an edge weight for each edge; analyzing, by the processor, the graph of the online social network conversation, by the processor, using at least the edge weight of at least some of the edges; and generating, by the processor, a graph segment comprising a reduced number of nodes of the graph of the online social network conversation based on analyzing the graph of the online social network conversation and the graph segment providing a gist or summary comprising an abbreviated view of the online social network conversation based on the analysis, each node of the reduced number of nodes corresponding to its own respective node of the graph of the online social network conversation. | 1. A method for generating a graph segment providing a gist or summary of an online social network conversation, the method comprising: generating, by a processor, a graph of the online social network conversation, wherein the graph of the online social network conversation comprises a plurality of nodes and each node connecting at least one other node by an edge, each node representing a message of the online social network conversation and each edge corresponding to an action by a participant in the online social network conversation; determining, by the processor, an edge weight for each edge; analyzing, by the processor, the graph of the online social network conversation, by the processor, using at least the edge weight of at least some of the edges; and generating, by the processor, a graph segment comprising a reduced number of nodes of the graph of the online social network conversation based on analyzing the graph of the online social network conversation and the graph segment providing a gist or summary comprising an abbreviated view of the online social network conversation based on the analysis, each node of the reduced number of nodes corresponding to its own respective node of the graph of the online social network conversation. 12. The method of claim 1 , wherein analyzing the graph of the online social network conversation comprises determining a densest path or thread of the online social network conversation, the densest path or thread being the path or thread with a highest number of conversation activity or posts. | 0.837705 |
1. A computer-implemented method of providing visual access to comment markings that are supplied by a plurality of meeting participants, said method comprising: creating printed meeting documents using a printer having a print driver that automatically includes metadata in said printed meeting documents, each printed meeting document comprising a human-readable content marking related to a subject of a meeting attended by said plurality of meeting participants, a personal marking that identifies a corresponding meeting participant to whom said printed meeting documents is provided, and a storage address marking, said print driver automatically determining a location in said printed meeting documents for said human-readable content marking, said personal marking, and said storage address marking; providing one or more printed meeting documents to each of said plurality of meeting participants; at least one of said plurality of meeting participants, supplying one or more comment markings to said one or more printed meeting documents, thus forming one or more commented meeting documents; scanning, using a scanner, said one or more commented meeting documents, thus forming one or more commented meeting document images; storing said one or more commented meeting document images in a computer storage repository based on said storage address marking; and providing one or more users visual access to said one or more commented meeting document images, thus enabling said one or more users to view said one or more comment markings that are supplied by said at least one of said plurality of meeting participants, said one or more commented meeting document images further comprising said personal marking corresponding to said one or more comment markings allowing said one or more users to identify said one or more meeting participants who supply said one or more comment markings. | 1. A computer-implemented method of providing visual access to comment markings that are supplied by a plurality of meeting participants, said method comprising: creating printed meeting documents using a printer having a print driver that automatically includes metadata in said printed meeting documents, each printed meeting document comprising a human-readable content marking related to a subject of a meeting attended by said plurality of meeting participants, a personal marking that identifies a corresponding meeting participant to whom said printed meeting documents is provided, and a storage address marking, said print driver automatically determining a location in said printed meeting documents for said human-readable content marking, said personal marking, and said storage address marking; providing one or more printed meeting documents to each of said plurality of meeting participants; at least one of said plurality of meeting participants, supplying one or more comment markings to said one or more printed meeting documents, thus forming one or more commented meeting documents; scanning, using a scanner, said one or more commented meeting documents, thus forming one or more commented meeting document images; storing said one or more commented meeting document images in a computer storage repository based on said storage address marking; and providing one or more users visual access to said one or more commented meeting document images, thus enabling said one or more users to view said one or more comment markings that are supplied by said at least one of said plurality of meeting participants, said one or more commented meeting document images further comprising said personal marking corresponding to said one or more comment markings allowing said one or more users to identify said one or more meeting participants who supply said one or more comment markings. 12. The method of claim 1 , said meeting documents being printed based on meeting document information stored in said computer storage repository. | 0.512358 |
33. The system according to claim 30 , wherein a re-targeted advertisement is created for the user if the user made a purchase prior to a predetermined time at the Web site, but did not make a purchase subsequent to the predetermined time at the Web site. | 33. The system according to claim 30 , wherein a re-targeted advertisement is created for the user if the user made a purchase prior to a predetermined time at the Web site, but did not make a purchase subsequent to the predetermined time at the Web site. 34. The system according to claim 33 , wherein the re-targeted advertisement is a reminder message specifying the Web site. | 0.916925 |
1. A method for providing recommendations that take into account users' casual references to certain media assets during conversational communications by isolating a term in the conversational communications and determining relationships to that term through the use of a knowledge graph organized to store relationships between different pieces of information, comprising: receiving, via a user interface, a user communication; analyzing, via processing circuitry, the user communication based on a previously stored template from a database to determine a term of the user communication; transmitting a query based on the term to a knowledge graph having a plurality of nodes representing different pieces of information and a plurality of edges connecting the plurality of nodes representing relationships between the different pieces of information; identifying a first node representing a candidate component that is connected to a second node representing the term based on the knowledge graph; generating for display, via the user interface, a request causing user input directed to confirming whether the term is associated with the candidate component; in response to receiving the user input, modifying a strength of association represented by a weight allocated to an edge connecting the second node representing the term and the first node representing the candidate component in the knowledge graph; and generating a content recommendation associated with the candidate component based on the strength of association. | 1. A method for providing recommendations that take into account users' casual references to certain media assets during conversational communications by isolating a term in the conversational communications and determining relationships to that term through the use of a knowledge graph organized to store relationships between different pieces of information, comprising: receiving, via a user interface, a user communication; analyzing, via processing circuitry, the user communication based on a previously stored template from a database to determine a term of the user communication; transmitting a query based on the term to a knowledge graph having a plurality of nodes representing different pieces of information and a plurality of edges connecting the plurality of nodes representing relationships between the different pieces of information; identifying a first node representing a candidate component that is connected to a second node representing the term based on the knowledge graph; generating for display, via the user interface, a request causing user input directed to confirming whether the term is associated with the candidate component; in response to receiving the user input, modifying a strength of association represented by a weight allocated to an edge connecting the second node representing the term and the first node representing the candidate component in the knowledge graph; and generating a content recommendation associated with the candidate component based on the strength of association. 3. The method of claim 1 , wherein modifying the strength of association between the term and the candidate component further comprises: determining whether the user input confirms or denies that the term is associated with the candidate component; in response to determining that the user input confirms that the term is associated with the candidate component, increasing the strength of association between the term and the candidate component; and in response to determining that the user input denies that the term is associated with the candidate component, decreasing the strength of association between the term and the candidate component. | 0.566176 |
1. A computer program product tangibly embodied in a computer-readable storage device, medium, the computer program product comprising instructions that, when executed, cause a status management runtime component to perform operations in a business process comprising: receiving an indication of a first source status value of a first source status variable of an instance of a first child data object node; receiving an indication of a second source status value of a second source status variable of an instance of a second child data object node; and setting a target status value of a target status variable of an instance of a parent data object node based on the first source status value and the second source status value of the source status variable; wherein: the first child data object node and the second child data object node is than are child nodes of the parent data object node, the first child data object node is of a different node type than the second child data object node, the parent data object node corresponds to both a status management model for the parent data object node and a data model for the parent data object node, the first child data object node corresponds to both a status management model for the first child data object node and a data model for the first child data object node, the second child data object node corresponds to both a status management model for the second child data object node and a data model for the second child data object node, and each of the first and second source status variables and the target status variable is part of a process for providing a product, the process involving at least availability and approval checks. | 1. A computer program product tangibly embodied in a computer-readable storage device, medium, the computer program product comprising instructions that, when executed, cause a status management runtime component to perform operations in a business process comprising: receiving an indication of a first source status value of a first source status variable of an instance of a first child data object node; receiving an indication of a second source status value of a second source status variable of an instance of a second child data object node; and setting a target status value of a target status variable of an instance of a parent data object node based on the first source status value and the second source status value of the source status variable; wherein: the first child data object node and the second child data object node is than are child nodes of the parent data object node, the first child data object node is of a different node type than the second child data object node, the parent data object node corresponds to both a status management model for the parent data object node and a data model for the parent data object node, the first child data object node corresponds to both a status management model for the first child data object node and a data model for the first child data object node, the second child data object node corresponds to both a status management model for the second child data object node and a data model for the second child data object node, and each of the first and second source status variables and the target status variable is part of a process for providing a product, the process involving at least availability and approval checks. 3. The computer program product of claim 1 further comprising instructions that, when executed, cause a runtime processing component to send, to the status management runtime component, an indication of the first source status value of the first source status variable of the instance of the first child data object node, an indication of the second source status value of the second source status variable of the instance of the second child data object node, and an indication of the instance of the parent data object node. | 0.5 |
1. A computer-implemented method comprising: obtaining, for a sequence of strokes that represent a handwritten input, cut point data indicating one or more particular candidate cut points that are identified within the sequence of strokes; obtaining, for the one or more of the particular candidate cut points, feature data indicating one or more features of the particular candidate cut point; for each of the one or more particular candidate cut points, providing the feature data to a classifier that is trained to predict, based on one or more features of a candidate cut point, a likelihood of the candidate cut point being a correct cut point; for each of the one or more particular candidate cut points, receiving, from the classifier, data indicating the likelihood that the particular candidate cut point is a correct cut point; selecting a set of one or more of the particular candidate cut points whose respective likelihoods satisfy a threshold; and using the set of candidate cut points to segment the sequence of strokes. | 1. A computer-implemented method comprising: obtaining, for a sequence of strokes that represent a handwritten input, cut point data indicating one or more particular candidate cut points that are identified within the sequence of strokes; obtaining, for the one or more of the particular candidate cut points, feature data indicating one or more features of the particular candidate cut point; for each of the one or more particular candidate cut points, providing the feature data to a classifier that is trained to predict, based on one or more features of a candidate cut point, a likelihood of the candidate cut point being a correct cut point; for each of the one or more particular candidate cut points, receiving, from the classifier, data indicating the likelihood that the particular candidate cut point is a correct cut point; selecting a set of one or more of the particular candidate cut points whose respective likelihoods satisfy a threshold; and using the set of candidate cut points to segment the sequence of strokes. 5. The method of claim 1 , wherein a number of the set of the one or more particular candidate cut points whose respective likelihoods satisfy the threshold is less that a number of the one or more particular candidate cut points whose respective likelihood do not satisfy the threshold. | 0.587518 |
1. A communications method, comprising: receiving a conversational speech input from a first user; converting the received speech input to a text representation thereof using an automated processor; communicating the text representation and speech input remotely from the first user to a second user in real time, as part of a conversation; and automatically reproducing the speech input and displaying the text representation in real time to the second user through an automated interface device, wherein the speech input is received by a speech application executing on the automated processor, the speech application further comprising a text dialog interface, further comprising the step of transferring the text representation to the text dialog interface and communicating the text representation by the speech application from the text dial; wherein the text dialog interface is in a separate application executing on the automated processor and the speech application transfers the text representation to said text dialog interface; and wherein the speech application receives the speech input as dictation and commands, and sends at least one command derived from the speech input to said separate application. | 1. A communications method, comprising: receiving a conversational speech input from a first user; converting the received speech input to a text representation thereof using an automated processor; communicating the text representation and speech input remotely from the first user to a second user in real time, as part of a conversation; and automatically reproducing the speech input and displaying the text representation in real time to the second user through an automated interface device, wherein the speech input is received by a speech application executing on the automated processor, the speech application further comprising a text dialog interface, further comprising the step of transferring the text representation to the text dialog interface and communicating the text representation by the speech application from the text dial; wherein the text dialog interface is in a separate application executing on the automated processor and the speech application transfers the text representation to said text dialog interface; and wherein the speech application receives the speech input as dictation and commands, and sends at least one command derived from the speech input to said separate application. 7. The method according to claim 1 , wherein the reproduced speech input is at least partially synthesized based on the text representation. | 0.5971 |
20. A method for generating a transition signal as in claim 19, further comprising the step of evaluating said transition signal to detect peaks therein by time-sampling said transition signal using a predermined time interval and identifying as a peak level each maximum of said transition signal occurring in the middle of a said time interval to thereby locate transitions in said voice signal. | 20. A method for generating a transition signal as in claim 19, further comprising the step of evaluating said transition signal to detect peaks therein by time-sampling said transition signal using a predermined time interval and identifying as a peak level each maximum of said transition signal occurring in the middle of a said time interval to thereby locate transitions in said voice signal. 21. A method for generating a transition signal as in claim 20 wherein each said first difference level is the difference between the logarithm of said respective average power level and the logarithm of said respective power level, whereby the influence on said first difference levels of variations in emphasis from phoneme to phoneme of a particular speaker is minimized. | 0.900263 |
2. The machine of claim 1 further comprising instructions executable by the processor to supply an annotation prompt; and record an annotation about the segment of the image. | 2. The machine of claim 1 further comprising instructions executable by the processor to supply an annotation prompt; and record an annotation about the segment of the image. 13. The machine of claim 2 wherein the annotation prompt includes a comment control prompt to specify limitations associated with comments by others about the segment of the image. | 0.827114 |
1. A method for synchronizing an audio medical dictation and a manual transcription of the audio medical dictation, the method comprising: establishing a repetition frequency at which to query playback of the audio medical dictation; while the audio medical dictation is being played back and manually transcribed, repeatedly obtaining, at the established repetition frequency, a current time position of a corresponding currently played sound datum in the audio medical dictation, and a currently transcribed text datum in the manual transcription at the current time position; generating, via a computer executing stored program instructions, a corrected time position for the currently transcribed text datum by applying to the current time position a time correction value in accordance with a transcription delay; and generating at least one association datum indicative of a synchronization association between the corrected time position and the currently transcribed text datum. | 1. A method for synchronizing an audio medical dictation and a manual transcription of the audio medical dictation, the method comprising: establishing a repetition frequency at which to query playback of the audio medical dictation; while the audio medical dictation is being played back and manually transcribed, repeatedly obtaining, at the established repetition frequency, a current time position of a corresponding currently played sound datum in the audio medical dictation, and a currently transcribed text datum in the manual transcription at the current time position; generating, via a computer executing stored program instructions, a corrected time position for the currently transcribed text datum by applying to the current time position a time correction value in accordance with a transcription delay; and generating at least one association datum indicative of a synchronization association between the corrected time position and the currently transcribed text datum. 5. The method of claim 1 , further comprising: playing back the audio medical dictation after it is manually transcribed; and using the at least one association datum to show the manual transcription in synchronization with the playback of the audio medical dictation. | 0.565198 |
10. The system according to claim 9 wherein said domain specific model further comprises: a set of attribute type definitions, said attribute type definitions comprising an attribute type name, a set of attribute type values. | 10. The system according to claim 9 wherein said domain specific model further comprises: a set of attribute type definitions, said attribute type definitions comprising an attribute type name, a set of attribute type values. 12. The system according to claim 10 wherein said attribute type definitions are configured for representation of problem domain object classes and problem domain objects. | 0.889387 |
4. The device of claim 3 and wherein said merged page displayer comprises an animator to animate the display of conflicting said components by switching between said at least one states. | 4. The device of claim 3 and wherein said merged page displayer comprises an animator to animate the display of conflicting said components by switching between said at least one states. 6. The device of claim 4 and wherein said animator is integrated with dynamic layout processing. | 0.970448 |
1. A system for producing structured clinical information from patient records, comprising: a computerized patient record comprising at least one data source storing patient information, at least some of the patient information being unstructured, the patient information including clinical information related to a plurality of variables representing a state of the patient; a memory comprising a domain knowledge base containing domain-specific criteria relating the clinical information to values of the variables; and a processor configured to apply a data miner for extracting the clinical information from the data source using the domain-specific criteria, the data miner operable to create structured clinical information from the extracted clinical information including at least some of the unstructured patient information, the structured clinical information including the variables representing a state of the patient as a summary, the data miner operable to resolve discrepancies of different clinical information indicating different values of one of the variables. | 1. A system for producing structured clinical information from patient records, comprising: a computerized patient record comprising at least one data source storing patient information, at least some of the patient information being unstructured, the patient information including clinical information related to a plurality of variables representing a state of the patient; a memory comprising a domain knowledge base containing domain-specific criteria relating the clinical information to values of the variables; and a processor configured to apply a data miner for extracting the clinical information from the data source using the domain-specific criteria, the data miner operable to create structured clinical information from the extracted clinical information including at least some of the unstructured patient information, the structured clinical information including the variables representing a state of the patient as a summary, the data miner operable to resolve discrepancies of different clinical information indicating different values of one of the variables. 37. The system of claim 1 wherein the at least one data source comprises a health care provider patient record. | 0.606942 |
1. A method performed by a communications system including a communications server in communication with one or more communications devices for automatically optimizing a message text, the method comprising: receiving on the communications server a message text comprising a plurality of words or word phrases that combine together as non-overlapping parts of the message text; treating the non-overlapping words or word phrases of the message text as multiple independent variables that are reduced to a message vector having each of the multiple independent variables as components of the message vector; automatically creating on the communications server a plurality of lexical variants of the message text, wherein the lexical variants are created by replacing a word or word phrase for each of the multiple independent variables with one or more alternate words or word phrases based on one or more value-changing rules being applied to the received word or word phrase in the message text, the lexical variants for each of the multiple independent variables being reduced to a lexical vector such that the message vector is made up of variable-sized lexical vectors; sending each of the plurality of created lexical variants of the message text to the one or more communications devices; measuring a response rate for each sent lexical variant of the message text; identifying one or more lexical variants having the best performing measured response rates for each of the lexical vectors; automatically creating on the communications server syntactical variants of the identified best performing lexical variants by rearranging the lexical vectors within the message vector based on one or more position-changing rules; sending a plurality of the syntactical variants of the identified best performing lexical variants to the one or more communications devices, wherein only grammatically-correct syntactical variants are sent; measuring a response rate for each of the sent syntactical variants; and identifying a message text having the highest measured response rate for the sent syntactical variants. | 1. A method performed by a communications system including a communications server in communication with one or more communications devices for automatically optimizing a message text, the method comprising: receiving on the communications server a message text comprising a plurality of words or word phrases that combine together as non-overlapping parts of the message text; treating the non-overlapping words or word phrases of the message text as multiple independent variables that are reduced to a message vector having each of the multiple independent variables as components of the message vector; automatically creating on the communications server a plurality of lexical variants of the message text, wherein the lexical variants are created by replacing a word or word phrase for each of the multiple independent variables with one or more alternate words or word phrases based on one or more value-changing rules being applied to the received word or word phrase in the message text, the lexical variants for each of the multiple independent variables being reduced to a lexical vector such that the message vector is made up of variable-sized lexical vectors; sending each of the plurality of created lexical variants of the message text to the one or more communications devices; measuring a response rate for each sent lexical variant of the message text; identifying one or more lexical variants having the best performing measured response rates for each of the lexical vectors; automatically creating on the communications server syntactical variants of the identified best performing lexical variants by rearranging the lexical vectors within the message vector based on one or more position-changing rules; sending a plurality of the syntactical variants of the identified best performing lexical variants to the one or more communications devices, wherein only grammatically-correct syntactical variants are sent; measuring a response rate for each of the sent syntactical variants; and identifying a message text having the highest measured response rate for the sent syntactical variants. 2. The method of claim 1 , wherein only a subset of the created lexical variants of the message text is sent to the one or more communication devices and a D-optimal design is used to determine the subset. | 0.550704 |
14. The method of providing the game as in claim 13 further comprising enabling a character object exchange arranged such that characters exchange PGO's, PGO enhancements, and character enhancements whereby the required object is obtained by exchange. | 14. The method of providing the game as in claim 13 further comprising enabling a character object exchange arranged such that characters exchange PGO's, PGO enhancements, and character enhancements whereby the required object is obtained by exchange. 15. The method of providing the game as in claim 14 further comprising providing activities that provide a community inventory. | 0.937892 |
12. A method comprising: associating a first annotation, of a plurality of annotations, with a first portion of a collection of code and a second annotation, of the plurality of annotations, with a second portion of the collection of code, the first annotation being associated with a first task associated with an execution of the first portion of the collection of code, the second annotation being associated with a second task associated with an execution of the second portion of the collection of code, and associating the first annotation with the first portion of the collection of code and the second annotation with the second portion of the collection of code being performed by a device; obtain scripting language code that references the collection of code, obtaining the scripting language code being performed by the device; selecting, for each of the first task and the second task, one of a plurality of threads based on the plurality of annotations, selecting the one of the plurality of threads being performed by the device; determining, based on the first annotation identifying a first type of thread to which the first portion of the collection of code should be dispatched, to dispatch the first task to a first thread, of the plurality of threads, included in a scripting language environment, determining to dispatch the first task to the first thread being performed by the device; determining, based on the second annotation identifying a second type of thread to which the second portion of the collection of code should be dispatched, to dispatch the second task to a second thread, of the plurality of threads, included in a non-scripting language environment, determining to dispatch the second task to the second thread being performed by the device; dispatching the first task to the first thread and the second task to the second thread, the first task or the second task not being dispatched to one or more threads, of the plurality of threads, based on a third annotation, of the plurality of annotations, the third annotation specifying an identity of the one or more threads and indicating that the first task or the second task should not be dispatched to the identified one or more threads, and dispatching the first task and the second task being performed by the device; and causing an execution of the scripting language code, causing the execution of the scripting language code being performed by the device, and during the execution of the scripting language code, the first task being executed via the first thread in the scripting language environment and the second task being executed via the second thread in the non-scripting language environment. | 12. A method comprising: associating a first annotation, of a plurality of annotations, with a first portion of a collection of code and a second annotation, of the plurality of annotations, with a second portion of the collection of code, the first annotation being associated with a first task associated with an execution of the first portion of the collection of code, the second annotation being associated with a second task associated with an execution of the second portion of the collection of code, and associating the first annotation with the first portion of the collection of code and the second annotation with the second portion of the collection of code being performed by a device; obtain scripting language code that references the collection of code, obtaining the scripting language code being performed by the device; selecting, for each of the first task and the second task, one of a plurality of threads based on the plurality of annotations, selecting the one of the plurality of threads being performed by the device; determining, based on the first annotation identifying a first type of thread to which the first portion of the collection of code should be dispatched, to dispatch the first task to a first thread, of the plurality of threads, included in a scripting language environment, determining to dispatch the first task to the first thread being performed by the device; determining, based on the second annotation identifying a second type of thread to which the second portion of the collection of code should be dispatched, to dispatch the second task to a second thread, of the plurality of threads, included in a non-scripting language environment, determining to dispatch the second task to the second thread being performed by the device; dispatching the first task to the first thread and the second task to the second thread, the first task or the second task not being dispatched to one or more threads, of the plurality of threads, based on a third annotation, of the plurality of annotations, the third annotation specifying an identity of the one or more threads and indicating that the first task or the second task should not be dispatched to the identified one or more threads, and dispatching the first task and the second task being performed by the device; and causing an execution of the scripting language code, causing the execution of the scripting language code being performed by the device, and during the execution of the scripting language code, the first task being executed via the first thread in the scripting language environment and the second task being executed via the second thread in the non-scripting language environment. 14. The method of claim 12 , further comprising: providing a user interface; and receiving the first annotation and the second annotation via the user interface. | 0.524485 |
5. A system, comprising: at least one computing device; and a virtual private network (VPN) configuration manager executable in the at least one computing device, the VPN configuration manager comprising: logic that receives a service call requesting creation of a VPN which uses a client VPN gateway and a server VPN gateway, wherein the service call includes a description of the client VPN gateway; and logic that sends, in response to the service call, a generic configuration document, wherein contents of the generic configuration document are based at least on the description of the client VPN gateway. | 5. A system, comprising: at least one computing device; and a virtual private network (VPN) configuration manager executable in the at least one computing device, the VPN configuration manager comprising: logic that receives a service call requesting creation of a VPN which uses a client VPN gateway and a server VPN gateway, wherein the service call includes a description of the client VPN gateway; and logic that sends, in response to the service call, a generic configuration document, wherein contents of the generic configuration document are based at least on the description of the client VPN gateway. 11. The system of claim 5 , further comprising logic that creates the generic configuration document based at least on the description of the client VPN gateway. | 0.62585 |
2. An information retrieval system, comprising: a history storage apparatus for storing retrieval histories each having information including a group of retrieval items including at least an item of a retrieving person, a retrieval term comprised of at least one keyword, and a retrieval result; a history storage device for storing, when retrieval of documents is performed by a first person, a retrieval history regarding said retrieval into said history storage apparatus; an input device for inputting at least one of said retrieval terms by said first person and at least one of said group of retrieval items and said retrieval terms by a second person; a history retrieval device for retrieving from within said retrieval storage apparatus, a group of retrieval histories by at least said first retrieving person which have a keyword of said retrieval term similar to an inputted keyword of said retrieval term input by said second person, and said group of retrieval histories satisfy a designation of an element of an inputted retrieval item input by said second person; a similar term retrieval device for sequencing said group of retrieval histories detected by said history retrieval device based on a similarity of retrieval terms and presenting said sequenced group of retrieval histories; and a retrieval device for retrieving documents utilizing retrieval terms of a retrieval history designated by said second person from within said group of retrieval histories presented by said similar term retrieval device. | 2. An information retrieval system, comprising: a history storage apparatus for storing retrieval histories each having information including a group of retrieval items including at least an item of a retrieving person, a retrieval term comprised of at least one keyword, and a retrieval result; a history storage device for storing, when retrieval of documents is performed by a first person, a retrieval history regarding said retrieval into said history storage apparatus; an input device for inputting at least one of said retrieval terms by said first person and at least one of said group of retrieval items and said retrieval terms by a second person; a history retrieval device for retrieving from within said retrieval storage apparatus, a group of retrieval histories by at least said first retrieving person which have a keyword of said retrieval term similar to an inputted keyword of said retrieval term input by said second person, and said group of retrieval histories satisfy a designation of an element of an inputted retrieval item input by said second person; a similar term retrieval device for sequencing said group of retrieval histories detected by said history retrieval device based on a similarity of retrieval terms and presenting said sequenced group of retrieval histories; and a retrieval device for retrieving documents utilizing retrieval terms of a retrieval history designated by said second person from within said group of retrieval histories presented by said similar term retrieval device. 6. An information retrieval system as claimed in claim 2, wherein said history retrieval device produces a retrieval result of a current retrieval, by calculating a product set of a retrieval result of said first person in said retrieval history, and a retrieval result of a retrieval request by said second person, wherein said retrieval request by said second person is performed based upon at least one added keyword added by said second person. | 0.504908 |
1. A computer system comprising the following: one or more processors; system memory; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to perform the following: requesting a search for a first user; receiving one or more search results for the search, the search results having been generated and ranked using a search ranking model, the search results being displayed within a user interface to the first user according to each search result's determined ranking, each search result having an associated search result attribute; receiving a tuning input at the user interface from the first to create a tuning profile that adjusts the search ranking model, the tuning input indicating that the search result ranking model is to be adjusted for one or more specified search result attributes, the search result ranking model determining how each search result is ranked, wherein the search result ranking model divides the specified search result attributes into weights and scoring functions, and further divides the scoring functions into one or more of freshness, or magnitude, wherein the tuning profile corresponds to a specified search attribute; dynamically updating the displayed search results as the search result ranking model is tuned for the specified search result attributes, the dynamic updating including at least one of repositioning, adding or removing search results according to the determined ranking for each search result; and causing the tuning profile to be stored and applied to subsequent searches by one or more other users, including users other than the first user, to generate subsequent search results each having a subsequent search result attribute, such that the tuning profile ranks each search result according to the tuned search result ranking model and the specified search result attributes. | 1. A computer system comprising the following: one or more processors; system memory; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to perform the following: requesting a search for a first user; receiving one or more search results for the search, the search results having been generated and ranked using a search ranking model, the search results being displayed within a user interface to the first user according to each search result's determined ranking, each search result having an associated search result attribute; receiving a tuning input at the user interface from the first to create a tuning profile that adjusts the search ranking model, the tuning input indicating that the search result ranking model is to be adjusted for one or more specified search result attributes, the search result ranking model determining how each search result is ranked, wherein the search result ranking model divides the specified search result attributes into weights and scoring functions, and further divides the scoring functions into one or more of freshness, or magnitude, wherein the tuning profile corresponds to a specified search attribute; dynamically updating the displayed search results as the search result ranking model is tuned for the specified search result attributes, the dynamic updating including at least one of repositioning, adding or removing search results according to the determined ranking for each search result; and causing the tuning profile to be stored and applied to subsequent searches by one or more other users, including users other than the first user, to generate subsequent search results each having a subsequent search result attribute, such that the tuning profile ranks each search result according to the tuned search result ranking model and the specified search result attributes. 6. The computer system of claim 1 , wherein the user interface provides at least one of a dial or slider bar for tuning the specified search result attributes within the search result ranking model. | 0.564659 |
13. The method of one of claim 11 further comprising: simultaneously and instantaneously scanning multiple tags, where each tag refers to a specific activity. | 13. The method of one of claim 11 further comprising: simultaneously and instantaneously scanning multiple tags, where each tag refers to a specific activity. 14. The method of claim 13 further comprising: determining the respective activity to which a tag refers. | 0.920335 |
2. A system, comprising: one or more processors; and memory storing instructions that, if executed by the one or more processors, cause the system to: receive user input corresponding to operations on a document, the one or more operations causing a change to an overlay of the document, the overlay containing user annotations to the document; transmit an application programming interface call to upload the overlay for the document having an identifier specified in the application programming interface call; receive, from a document management and collaboration system, a second document identifier corresponding to a version of the document which corresponds to the overlay; receive a request for collaboration on the document; obtain the document and the overlay by transmitting a second application programming interface call that specifies the second document identifier; and transmit the obtained document and the overlay to one or more collaborators for collaboration. | 2. A system, comprising: one or more processors; and memory storing instructions that, if executed by the one or more processors, cause the system to: receive user input corresponding to operations on a document, the one or more operations causing a change to an overlay of the document, the overlay containing user annotations to the document; transmit an application programming interface call to upload the overlay for the document having an identifier specified in the application programming interface call; receive, from a document management and collaboration system, a second document identifier corresponding to a version of the document which corresponds to the overlay; receive a request for collaboration on the document; obtain the document and the overlay by transmitting a second application programming interface call that specifies the second document identifier; and transmit the obtained document and the overlay to one or more collaborators for collaboration. 11. The system of claim 2 , wherein the instructions further comprise instructions that, if executed by the one or more processors, cause the system to transmit another application programming interface call that specifies text and document coordinates corresponding to a location of the text in the document to be inserted into the document by the document management and collaboration system. | 0.565647 |
1. A computer-implemented method for performing an analysis of model metadata in a modeling environment, said method including: reading, by a computer-based system for performing said analysis of said model metadata in said modeling environment, a request from a client, wherein said request includes a model identifier and a presentation parameter; reading, by said computer-based system, a variable identifier, wherein said variable identifier is associated with said model identifier; reading, by said computer-based system, variable metadata, wherein said variable metadata is associated with said variable identifier; and, formatting, by said computer-based system, said variable identifier and said variable metadata in accordance with said presentation parameter to create model metadata. | 1. A computer-implemented method for performing an analysis of model metadata in a modeling environment, said method including: reading, by a computer-based system for performing said analysis of said model metadata in said modeling environment, a request from a client, wherein said request includes a model identifier and a presentation parameter; reading, by said computer-based system, a variable identifier, wherein said variable identifier is associated with said model identifier; reading, by said computer-based system, variable metadata, wherein said variable metadata is associated with said variable identifier; and, formatting, by said computer-based system, said variable identifier and said variable metadata in accordance with said presentation parameter to create model metadata. 15. The method of claim 1 , further including: reading performance data corresponding to said model identifier, wherein said performance data includes model scoring data, model execution data, and dataset generation data for said plurality of simulation models; and, determining averages for said performance data based on defined time intervals. | 0.626427 |
1. A method for retrieving information in a computer network system having at least one network server device and a user device, said user device and said network server having established a successful network session so that they are in processing communication with one another; said method comprising: displaying a target page on a screen connected to said user device, said target page including a plurality of first level link references for selection by any user where each first level link reference further includes subsequent level link references; providing a string of words; searching all reference links provided by said target page and all subsequent pages to identify only those references including said provided string of words. | 1. A method for retrieving information in a computer network system having at least one network server device and a user device, said user device and said network server having established a successful network session so that they are in processing communication with one another; said method comprising: displaying a target page on a screen connected to said user device, said target page including a plurality of first level link references for selection by any user where each first level link reference further includes subsequent level link references; providing a string of words; searching all reference links provided by said target page and all subsequent pages to identify only those references including said provided string of words. 13. The method of claim 1, further comprising the step of printing said search result. | 0.616633 |
1. A process for electronically generating a format for a computer printout according to commands of a user communicating with a processor, the processor having a memory and further communicating with a long-term memory, the long-term memory storing a set of generic default format commands, the process comprising the steps of: (a) reproducing the default format commands in the processor memory; (b) modifying the default format commands reproduced in the processor memory according to prompted user format commands to create a set of custom default format commands; (c) recording data in the processor memory; (d) converting the custom default format commands and data recorded in the processor memory into electrical impulses to direct a printer to represent the data according to the format specified by the commands. | 1. A process for electronically generating a format for a computer printout according to commands of a user communicating with a processor, the processor having a memory and further communicating with a long-term memory, the long-term memory storing a set of generic default format commands, the process comprising the steps of: (a) reproducing the default format commands in the processor memory; (b) modifying the default format commands reproduced in the processor memory according to prompted user format commands to create a set of custom default format commands; (c) recording data in the processor memory; (d) converting the custom default format commands and data recorded in the processor memory into electrical impulses to direct a printer to represent the data according to the format specified by the commands. 5. The process of claim 1 wherein the default format commands reproduced in the processor memory from the long-term memory are custom default format commands previously stored in the long-term memory. | 0.597561 |
8. One or more devices comprising: one or more processors; and one or more memories including a plurality of instructions that, when executed by the one or more processors, cause the one or more processors to: identify, based on a search query, search results, each search result, of the search results, being associated with a particular score; determine a particular country for the search results by: analyzing, at a first time, interface characteristics to identify the particular country, determining, based on analyzing the interface characteristics, that the particular country is not identified, analyzing, at a second time based on determining that analyzing the interface characteristics does not identify the particular country, Internet Protocol (IP) characteristics to identify the particular country, the second time occurring after the first time; determine, based on determining the particular country for the search results, if respective particular scores for a set of the search results are numerically adjustable; adjust, based on determining if the respective particular scores for the set of the search results are numerically adjustable, an ordering of at least one of the search results among other ones of the search results to create a list of search results when the at least one of the search results is associated with the particular country, a search result, of the set of search results, being ordered based on a shifting factor when the particular score, associated with the search result, is numerically adjustable and being ordered based on a weighting factor when the particular score is not numerically adjustable; and provide for presentation, based on the adjusted ordering, the list of search results. | 8. One or more devices comprising: one or more processors; and one or more memories including a plurality of instructions that, when executed by the one or more processors, cause the one or more processors to: identify, based on a search query, search results, each search result, of the search results, being associated with a particular score; determine a particular country for the search results by: analyzing, at a first time, interface characteristics to identify the particular country, determining, based on analyzing the interface characteristics, that the particular country is not identified, analyzing, at a second time based on determining that analyzing the interface characteristics does not identify the particular country, Internet Protocol (IP) characteristics to identify the particular country, the second time occurring after the first time; determine, based on determining the particular country for the search results, if respective particular scores for a set of the search results are numerically adjustable; adjust, based on determining if the respective particular scores for the set of the search results are numerically adjustable, an ordering of at least one of the search results among other ones of the search results to create a list of search results when the at least one of the search results is associated with the particular country, a search result, of the set of search results, being ordered based on a shifting factor when the particular score, associated with the search result, is numerically adjustable and being ordered based on a weighting factor when the particular score is not numerically adjustable; and provide for presentation, based on the adjusted ordering, the list of search results. 11. The one or more devices of claim 8 , where, when analyzing the IP characteristics, the one or more processors are further to: determine country information based on an IP address associated with an interface; and analyze the IP characteristics by analyzing the determined country information. | 0.547141 |
9. A non-transitory computer-readable storage medium having computer-executable instructions for creating at least one n-dimensional map, the computer-executable instructions, when executed by a computer having one or more processors, cause the computer to perform steps of: obtaining data from a plurality of data sources, said data containing information of a plurality of items each having one or more of an entity, a meaning, a place, a time, a word, a phrase, or a symbol; ascribing meaning to position or location within an n-dimensional space represented by a fixed point for each item within a space among n-dimensional spaces, wherein a fixed point for one item is different from a fixed point for another item; arranging said fixed point for one item relative to the fixed point for another item in corresponding space according to a set of predefined variable; creating, by utilizing a mapping unit, an n-dimensional map by correlating each of said fixed points defining corresponding location within the space; translating content associated with each item into its corresponding location within the n-dimensional map and storing said translated content as a set of coordinates with corresponding relationship to each other to perpetually correspond to one or more of said entity, meaning, place, time, word, phrase, or symbol; and comparing said translated content with a new set of data to determine differences or similarities between the translated content and the new set of data to provide a fused data on one or more output device with meaningful attributes, wherein said n-dimensional map is an EMPT (entity, meaning, place, and time) map created by correlating different types of data over the same entities, meanings, times, and places according to corresponding fixed points in the n-dimensional space in the form of a Cartesian or other type of coordinate representing greater than two (2) dimensions coordinate. | 9. A non-transitory computer-readable storage medium having computer-executable instructions for creating at least one n-dimensional map, the computer-executable instructions, when executed by a computer having one or more processors, cause the computer to perform steps of: obtaining data from a plurality of data sources, said data containing information of a plurality of items each having one or more of an entity, a meaning, a place, a time, a word, a phrase, or a symbol; ascribing meaning to position or location within an n-dimensional space represented by a fixed point for each item within a space among n-dimensional spaces, wherein a fixed point for one item is different from a fixed point for another item; arranging said fixed point for one item relative to the fixed point for another item in corresponding space according to a set of predefined variable; creating, by utilizing a mapping unit, an n-dimensional map by correlating each of said fixed points defining corresponding location within the space; translating content associated with each item into its corresponding location within the n-dimensional map and storing said translated content as a set of coordinates with corresponding relationship to each other to perpetually correspond to one or more of said entity, meaning, place, time, word, phrase, or symbol; and comparing said translated content with a new set of data to determine differences or similarities between the translated content and the new set of data to provide a fused data on one or more output device with meaningful attributes, wherein said n-dimensional map is an EMPT (entity, meaning, place, and time) map created by correlating different types of data over the same entities, meanings, times, and places according to corresponding fixed points in the n-dimensional space in the form of a Cartesian or other type of coordinate representing greater than two (2) dimensions coordinate. 10. The non-transitory computer-readable storage medium of claim 9 , wherein said computer-executable instructions, which, when executed by the computer, cause the computer to perform additional step of: creating said n-dimensional map by correlating different types of data over the same words, symbols, characters, or other data representative of meaning in a plurality of languages according to corresponding fixed points in the n-dimensional space in the form of a Cartesian coordinate or other type of coordinate representing greater than two (2) dimensions. | 0.5 |
8. The method of claim 1 , further comprising: upon determining that one of the applicable one or more document processing rules has failed, executing a workflow associated with the rule. | 8. The method of claim 1 , further comprising: upon determining that one of the applicable one or more document processing rules has failed, executing a workflow associated with the rule. 9. The method of claim 8 , wherein the workflow indicates that the document is to be forwarded to an administrator for manual online approval. | 0.971451 |
22. A Web-based method for accessing development components, which include an online video clip library and an online music clip library, and enabling online production of custom-integrated media products, said method comprising: receiving over a network a plurality of video and music clips from a plurality of content provider users; storing the plurality of video and music clips provided by said plurality of content provider users in a database and media content storage devices as libraries; indexing the database and media content storage devices that store the libraries of uploaded video and music clips; providing a plurality of producer users with interactive Web formatting screens, said Web formatting screens capable of allowing said producer users to select among said uploaded video and music clips; providing said plurality of producer users with an online mixer module, said mixer module capable of editing, mixing together, and playing said selected uploaded video and music clips, to thereby create video advertisement templates each comprising a static component and at least one placeholder, wherein said mixer module is further capable of allowing advertiser users to customize said video advertisement templates by uploading a list, such that advertiser users are able to automatically self-produce a set of different customized video advertisements based on an advertisement template, in which the at least one placeholder for each customized video advertisement contains a different item from the list, wherein said mixer module is further capable of arranging said video advertisement templates and customized video advertisements as respective XML files on a server, said XML files being accessible by a plurality of users using respective browser applications, such that upon updating an XML file representing a video advertisement template or a customized video advertisement, the updated video advertisement template or customized video advertisement is made accessible to users accessing the updated XML file and encoding and formatting video advertisements in particular formats. | 22. A Web-based method for accessing development components, which include an online video clip library and an online music clip library, and enabling online production of custom-integrated media products, said method comprising: receiving over a network a plurality of video and music clips from a plurality of content provider users; storing the plurality of video and music clips provided by said plurality of content provider users in a database and media content storage devices as libraries; indexing the database and media content storage devices that store the libraries of uploaded video and music clips; providing a plurality of producer users with interactive Web formatting screens, said Web formatting screens capable of allowing said producer users to select among said uploaded video and music clips; providing said plurality of producer users with an online mixer module, said mixer module capable of editing, mixing together, and playing said selected uploaded video and music clips, to thereby create video advertisement templates each comprising a static component and at least one placeholder, wherein said mixer module is further capable of allowing advertiser users to customize said video advertisement templates by uploading a list, such that advertiser users are able to automatically self-produce a set of different customized video advertisements based on an advertisement template, in which the at least one placeholder for each customized video advertisement contains a different item from the list, wherein said mixer module is further capable of arranging said video advertisement templates and customized video advertisements as respective XML files on a server, said XML files being accessible by a plurality of users using respective browser applications, such that upon updating an XML file representing a video advertisement template or a customized video advertisement, the updated video advertisement template or customized video advertisement is made accessible to users accessing the updated XML file and encoding and formatting video advertisements in particular formats. 28. The method of claim 22 , further comprising connecting with a Wizard to create an online broadcast advertising campaign. | 0.621053 |
16. A computer program product having a nontransitory computer-readable storage medium storing computer-executable code, the code comprising: an object classifier module configured to: receive information identifying a set of malicious groups associated with a social networking system, wherein a group is an entity represented in the social networking system that users can join, the malicious groups predetermined to be associated with a type of malicious activity, determine a measure of interactions of the user with the malicious group, select users associated with the malicious groups, wherein each user is selected based on the determined measure of interactions of the user with the malicious groups, and select a set of potentially malicious groups associated with the selected users; a keyword search module configured to: receive keywords associated with the type of malicious activity, and search for occurrences of the keywords in content received from users of the potentially malicious groups; the object classifier module, further configured to: determine a level of association of each potentially malicious group with the type of malicious activity based on the occurrences; and a group store configured to: store information describing the level of association of each potentially malicious group with the type of malicious activity. | 16. A computer program product having a nontransitory computer-readable storage medium storing computer-executable code, the code comprising: an object classifier module configured to: receive information identifying a set of malicious groups associated with a social networking system, wherein a group is an entity represented in the social networking system that users can join, the malicious groups predetermined to be associated with a type of malicious activity, determine a measure of interactions of the user with the malicious group, select users associated with the malicious groups, wherein each user is selected based on the determined measure of interactions of the user with the malicious groups, and select a set of potentially malicious groups associated with the selected users; a keyword search module configured to: receive keywords associated with the type of malicious activity, and search for occurrences of the keywords in content received from users of the potentially malicious groups; the object classifier module, further configured to: determine a level of association of each potentially malicious group with the type of malicious activity based on the occurrences; and a group store configured to: store information describing the level of association of each potentially malicious group with the type of malicious activity. 17. The computer program product of claim 16 , wherein an interaction of a user with a malicious object comprises a user establishing connections in the social networking system with other users associated with the malicious object. | 0.571833 |
2. The method of claim 1 , wherein the collecting further includes: distributing advertisements for a market research program in the virtual universe; and receiving, from users, consent allowing collection of the virtual universe data. | 2. The method of claim 1 , wherein the collecting further includes: distributing advertisements for a market research program in the virtual universe; and receiving, from users, consent allowing collection of the virtual universe data. 7. The method of claim 2 further comprising: presenting, by the one or more processors, a reward to the users for giving the consent, wherein the reward represents value in the virtual universe. | 0.955842 |
13. A computer-implemented method comprising: rendering for display, in a first computing device, at least one first user interface comprising a topic field configured to input a topic, a search field configured to input a search term, and a third party criteria selection mechanism configured to select a plurality of third party users; receiving the topic as a first input in the first computing device; receiving a user selection of a value of a percentage similarity to at least one profile associated with a user of the first computing device to identify a selection of the third party users based at least in part on the value of the percentage similarity; and sending the topic and the user selection of the value of the percentage similarity from the first computing device to a second computing device. | 13. A computer-implemented method comprising: rendering for display, in a first computing device, at least one first user interface comprising a topic field configured to input a topic, a search field configured to input a search term, and a third party criteria selection mechanism configured to select a plurality of third party users; receiving the topic as a first input in the first computing device; receiving a user selection of a value of a percentage similarity to at least one profile associated with a user of the first computing device to identify a selection of the third party users based at least in part on the value of the percentage similarity; and sending the topic and the user selection of the value of the percentage similarity from the first computing device to a second computing device. 14. The computer-implemented method of claim 13 , further comprising rendering for display, in the first computing device, at least one second user interface presenting a plurality of suggestions from the third party users associated with a plurality of third party profiles. | 0.631849 |
14. A system for providing the result of a task list query to a human task database, the system comprising: a memory; and at least one processor, the at least one processor performing: caching data from the database in a plurality of materialized views, each materialized view including data resulting from a query based on a request for a list of tasks from the database; receiving a new request for a list of tasks from the database, and creating a new query after determining that the new request applies to the data in a particular one of the materialized views, wherein the particular materialized view includes a foreground table and a background table, each storing data resulting from the query, the data stored in the foreground table being updated more recently than the data stored in the background table; after receiving the new request and before executing the new query, determining whether the particular materialized view includes data that requires updating from more recent data in the database; in response to determining that updating is required, updating the particular materialized view with more recent data from the database; and executing the new query against the data in the foreground table of the particular materialized view instead of executing the new query against the data stored in tables in the database wherein the processor determining whether the particular materialized view includes data that requires updating includes the processor; determining whether data in the foreground table requires updating and whether data in the background table requires updating; and checking a characteristic of the data in the particular materialized view and comparing the characteristic to a predetermined parameter, wherein in response to only the background table requiring updating, the processor begins to execute the new query against the data in the foreground table immediately after determining that only the background table requires updating, wherein the updating of the particular materialized view is a non-blocking update to the data in the background table, such that the non-blocking update does not delay the executing of the new query, and after the non-blocking update is complete, the processor switches the tables such that the background table becomes the foreground table and the foreground table becomes the background table, wherein in response to both the foreground table and the background table requiring updating, the updating of the particular materialized view is a blocking update to the data in the background table, such that the processor delays the executing of the query, wherein after the blocking update is complete, the processor switches the tables such that the background table becomes the foreground table and the foreground table becomes the background table, wherein the processor begins the executing of the new query on the data in the particular materialized view after the updating and switching are complete. | 14. A system for providing the result of a task list query to a human task database, the system comprising: a memory; and at least one processor, the at least one processor performing: caching data from the database in a plurality of materialized views, each materialized view including data resulting from a query based on a request for a list of tasks from the database; receiving a new request for a list of tasks from the database, and creating a new query after determining that the new request applies to the data in a particular one of the materialized views, wherein the particular materialized view includes a foreground table and a background table, each storing data resulting from the query, the data stored in the foreground table being updated more recently than the data stored in the background table; after receiving the new request and before executing the new query, determining whether the particular materialized view includes data that requires updating from more recent data in the database; in response to determining that updating is required, updating the particular materialized view with more recent data from the database; and executing the new query against the data in the foreground table of the particular materialized view instead of executing the new query against the data stored in tables in the database wherein the processor determining whether the particular materialized view includes data that requires updating includes the processor; determining whether data in the foreground table requires updating and whether data in the background table requires updating; and checking a characteristic of the data in the particular materialized view and comparing the characteristic to a predetermined parameter, wherein in response to only the background table requiring updating, the processor begins to execute the new query against the data in the foreground table immediately after determining that only the background table requires updating, wherein the updating of the particular materialized view is a non-blocking update to the data in the background table, such that the non-blocking update does not delay the executing of the new query, and after the non-blocking update is complete, the processor switches the tables such that the background table becomes the foreground table and the foreground table becomes the background table, wherein in response to both the foreground table and the background table requiring updating, the updating of the particular materialized view is a blocking update to the data in the background table, such that the processor delays the executing of the query, wherein after the blocking update is complete, the processor switches the tables such that the background table becomes the foreground table and the foreground table becomes the background table, wherein the processor begins the executing of the new query on the data in the particular materialized view after the updating and switching are complete. 15. The system of claim 14 wherein the checked characteristic of the data in the particular materialized view is an age of the data and the predetermined parameter is a predetermined maximum age parameter, and wherein the processor determining whether the particular materialized view needs updating includes the processor comparing the age of the data in the particular materialized view with the maximum age parameter, wherein the data is determined to need updating when the age of the data is greater than the maximum age parameter. | 0.527761 |
17. The handheld electronic device of claim 13 , wherein the operations further comprise: generating a data set comprising for each character of a canonicalized form of the word a character set comprising the characters that are equivalent thereto, and employing the data set as the canonical version of the word. | 17. The handheld electronic device of claim 13 , wherein the operations further comprise: generating a data set comprising for each character of a canonicalized form of the word a character set comprising the characters that are equivalent thereto, and employing the data set as the canonical version of the word. 20. The handheld electronic device of claim 17 , wherein the operations further comprise: generating as the character set for a character of the canonicalized form of the word a character set comprising both diacritical and non-diacritical forms of the character. | 0.926699 |
11. A system, comprising: an inspection instrument, communicatively coupled to the inspection tool, comprising: communications circuitry, configured to communicatively couple the inspection instrument with information services; an audio input device, configured to record, during an inspection, an inspection audio recording comprising audible annotations comprising comments of the inspection from an inspector performing the inspection, the comments comprising data minable keywords related to the inspection; a processor, configured to query the information services by: requesting voice recognition service using a cloud-based service, by sending, using the at least one of the inspection tool and the inspection instrument, the inspection audio recording, wherein the voice recognition service comprises data mining the inspection audio recording for the keywords; obtaining, using the at least one of the inspection tool and the inspection instrument, the keywords from the voice recognition service; and sending a request to the information services based upon the received keywords interpreted from the inspection audio; receiving, as a result of the request, using the at least one of the inspection tool and the inspection instrument, relevant inspection information from the information services, the relevant inspection information comprising configuration settings for the at least one of the inspection tool and the inspection instrument, or both; and applying, using the at least one of the inspection tool and the inspection instrument, the one or more configuration settings of the at least one of the inspection tool and the inspection instrument; wherein the inspection tool comprises: a borescope, ultrasound device, radiography equipment, camera, x-ray inspection device, eddy current device, or any combination thereof; and wherein the inspection instrument comprises: a computing device communicatively coupled to the inspection tool. | 11. A system, comprising: an inspection instrument, communicatively coupled to the inspection tool, comprising: communications circuitry, configured to communicatively couple the inspection instrument with information services; an audio input device, configured to record, during an inspection, an inspection audio recording comprising audible annotations comprising comments of the inspection from an inspector performing the inspection, the comments comprising data minable keywords related to the inspection; a processor, configured to query the information services by: requesting voice recognition service using a cloud-based service, by sending, using the at least one of the inspection tool and the inspection instrument, the inspection audio recording, wherein the voice recognition service comprises data mining the inspection audio recording for the keywords; obtaining, using the at least one of the inspection tool and the inspection instrument, the keywords from the voice recognition service; and sending a request to the information services based upon the received keywords interpreted from the inspection audio; receiving, as a result of the request, using the at least one of the inspection tool and the inspection instrument, relevant inspection information from the information services, the relevant inspection information comprising configuration settings for the at least one of the inspection tool and the inspection instrument, or both; and applying, using the at least one of the inspection tool and the inspection instrument, the one or more configuration settings of the at least one of the inspection tool and the inspection instrument; wherein the inspection tool comprises: a borescope, ultrasound device, radiography equipment, camera, x-ray inspection device, eddy current device, or any combination thereof; and wherein the inspection instrument comprises: a computing device communicatively coupled to the inspection tool. 12. The system of claim 11 , wherein the inspection instrument further comprises a voice recognition system configured to analyze the inspection audio for the keywords. | 0.516667 |
7. The computer-implemented method of claim 6 , wherein when the corpus is larger than a predetermined size indicating an acceptable size for storage by the computing system, the generating of the language model based on the modified array further includes: dividing, at the computing system, the corpus into a plurality of distinct portions; and generating, at the computing system, a language model for each of the plurality of distinct portions of the corpus to obtain a plurality of language models. | 7. The computer-implemented method of claim 6 , wherein when the corpus is larger than a predetermined size indicating an acceptable size for storage by the computing system, the generating of the language model based on the modified array further includes: dividing, at the computing system, the corpus into a plurality of distinct portions; and generating, at the computing system, a language model for each of the plurality of distinct portions of the corpus to obtain a plurality of language models. 8. The computer-implemented method of claim 7 , further comprising determining a number of distinct portions for dividing the corpus and for generating the plurality of language models such that each of the plurality of language models can achieve less than or equal to an acceptable error rate. | 0.803636 |
14. The method as claimed in claim 5 , wherein the method further comprises fetching words and links between the words related to the search query. | 14. The method as claimed in claim 5 , wherein the method further comprises fetching words and links between the words related to the search query. 15. The method as claimed in claim 14 , wherein the method further comprises: analyzing the returned words and links; and structuring the returned words and links into categories and sub-categories. | 0.927794 |
15. A non-transitory computer-usable storage media having machine-readable instructions stored thereon and configured to cause a processor to perform a method, the method comprising: for two or more portions of a set of items of known classification, classifying members of each portion using a particular classifier engine; selecting a portion of the set of items whose classifications satisfy a first criteria; classifying members of the selected portion of the set of items using two or more classifier engines; and selecting a classifier engine whose classification of the selected portion of the set of items satisfies a second criteria. | 15. A non-transitory computer-usable storage media having machine-readable instructions stored thereon and configured to cause a processor to perform a method, the method comprising: for two or more portions of a set of items of known classification, classifying members of each portion using a particular classifier engine; selecting a portion of the set of items whose classifications satisfy a first criteria; classifying members of the selected portion of the set of items using two or more classifier engines; and selecting a classifier engine whose classification of the selected portion of the set of items satisfies a second criteria. 17. The non-transitory computer-usable storage media of claim 15 , wherein the method further comprises: for two or more second portions of the set of items of known classification, classifying members of each second portion using the selected classifier engine; selecting a second portion of the set of items whose classifications satisfy the first criteria; classifying members of the selected second portion of the set of items using the two or more classifier engines; and selecting a classifier engine whose classification of the selected second portion of the set of items satisfies the second criteria. | 0.5 |
1. A method of identifying one or more particular images from an image collection, comprising using a data processing system for: (a) indexing the image collection to provide image descriptors for each image in the image collection such that each image is described by a plurality of image descriptors, with or without user input; (b) receiving a query from a user specifying at least one keyword for an image search, wherein the at least one keyword is not an image descriptor; (c) using the keyword(s) to search a second collection of tagged images to identify keywords that are co-occurent with the user-provided keyword(s); (d) using the identified co-occurrence keywords to provide an expanded list of keywords; (e) using the expanded list of keywords to search the image descriptors to identify a set of candidate images satisfying the keywords; (f) grouping the set of candidate images according to at least one of the image descriptors, and selecting one or more representative images from each grouping; and (g) displaying the representative images to the user. | 1. A method of identifying one or more particular images from an image collection, comprising using a data processing system for: (a) indexing the image collection to provide image descriptors for each image in the image collection such that each image is described by a plurality of image descriptors, with or without user input; (b) receiving a query from a user specifying at least one keyword for an image search, wherein the at least one keyword is not an image descriptor; (c) using the keyword(s) to search a second collection of tagged images to identify keywords that are co-occurent with the user-provided keyword(s); (d) using the identified co-occurrence keywords to provide an expanded list of keywords; (e) using the expanded list of keywords to search the image descriptors to identify a set of candidate images satisfying the keywords; (f) grouping the set of candidate images according to at least one of the image descriptors, and selecting one or more representative images from each grouping; and (g) displaying the representative images to the user. 7. The method of claim 1 wherein one or more of the image descriptors includes using camera capture conditions. | 0.55042 |
1. A method to be executed at least in part in a computing device for providing a speech processing technology authoring tool and framework, the method comprising: enabling a user to specify at least two terminals through a user interface of the authoring tool executed by the computing device; enabling the user to create a mapping between the at least two terminals through the user interface of the authoring tool; enabling the user to specify a rule based on the mapping by combining the at least two terminals into list rules; displaying the user specified at least two terminals and the rule on the user interface to provide visual feedback to the user including listing element names, element types, and referencing relationships, displayed items comprising a display form and a spoken form of the user specified at least two terminals and the rule, wherein the specified terminals are reordered independently on the display form and the spoken form side of the displayed items using subscript indicators to allow the user to see a relationship between parts of the rule on either side of the displayed items; enabling the user to specify at least one test scenario for validating the rule; performing the specified test scenario to determine a performance of the rule in a speech processing environment, wherein the specified test scenario is executed within the user interface of the authoring tool to provide immediate feedback to the user; presenting test results including a summary and detailed test results, such that the user is enabled to modify the rule through the user interface; and specifying an ordering of expected test results for validating a weighting of the rule. | 1. A method to be executed at least in part in a computing device for providing a speech processing technology authoring tool and framework, the method comprising: enabling a user to specify at least two terminals through a user interface of the authoring tool executed by the computing device; enabling the user to create a mapping between the at least two terminals through the user interface of the authoring tool; enabling the user to specify a rule based on the mapping by combining the at least two terminals into list rules; displaying the user specified at least two terminals and the rule on the user interface to provide visual feedback to the user including listing element names, element types, and referencing relationships, displayed items comprising a display form and a spoken form of the user specified at least two terminals and the rule, wherein the specified terminals are reordered independently on the display form and the spoken form side of the displayed items using subscript indicators to allow the user to see a relationship between parts of the rule on either side of the displayed items; enabling the user to specify at least one test scenario for validating the rule; performing the specified test scenario to determine a performance of the rule in a speech processing environment, wherein the specified test scenario is executed within the user interface of the authoring tool to provide immediate feedback to the user; presenting test results including a summary and detailed test results, such that the user is enabled to modify the rule through the user interface; and specifying an ordering of expected test results for validating a weighting of the rule. 2. The method of claim 1 , further comprising: enabling the user to select the rule to be exposed semantically; enabling the user to select at least one function to generate semantics based on the rule; adding the semantically exposed rule to a grammar; and enabling testing of grammar rules and semantic processing. | 0.593582 |
1. A method comprising: receiving, by a computing device, a request from a user identifying a renderable media item; creating, by the computing device, a semantic icon from a tag in an annotation associated with a first time in the media item; and transmitting, by the computing device, a graphical user interface to the user for display, the graphical user interface showing the semantic icon on a timeline as a representation of the annotation, the semantic icon being displayed in a first size and, upon selection by the user, changes to a second size corresponding to a size of a segment of the media item. | 1. A method comprising: receiving, by a computing device, a request from a user identifying a renderable media item; creating, by the computing device, a semantic icon from a tag in an annotation associated with a first time in the media item; and transmitting, by the computing device, a graphical user interface to the user for display, the graphical user interface showing the semantic icon on a timeline as a representation of the annotation, the semantic icon being displayed in a first size and, upon selection by the user, changes to a second size corresponding to a size of a segment of the media item. 2. The method of claim 1 , wherein creating the semantic icon further comprises: selecting an image that represents the tag. | 0.692346 |
1. A method of configuring a plurality of display devices communicatively coupled to a distributed local area communication network, the method comprising: obtaining images of a plurality of individuals at an event location, wherein the local area communication network is at the event location: identifying a plurality of individual data objects in a data store, each of the plurality of individual data objects defining features of a respective set of the plurality of individuals using facial recognition of images obtained of the plurality of individuals; identifying a data object of the plurality of individual data objects, the data object identifying a first set of individuals having a first feature; selecting a plurality of content tags based on the first feature; tagging a plurality of content items with one or more of the plurality of content tags; identifying a first content item of the plurality of content items, the first content item being associated with a first content tag, the first content tag being associated with the first set of individuals; selecting a second content item based on the first content tag; generating a display layout for the first and second content items; selecting a display device among the plurality of the display devices communicatively coupled to the distributed local area communication network, wherein a location of the display device is associated with the respective set of the plurality of individuals; transmitting, to the selected display device, the first and second content item, the display layout, and a display time; configuring, over the distributed communication network, a first FPGA chip in the selected display device to display the first and second content items having a look and feel of the generated display layout; configuring a second FPGA chip in the selected display device to display the second content item for the display time, wherein the selecting of the plurality of content tags comprises: for the first feature, determining a respective probability distribution indicating, for each of a respective content tag among the plurality of content tags, a probability that a set of individuals associated with a content tag has the first feature, thereby generating a plurality of probability distributions; using a probabilistic classifier to generate a merged probability distribution based on the plurality of probability distributions; and using a plurality of prediction sets to select the plurality of content tags, the plurality of content tags being associated with the first set of individuals, and wherein the method further comprises, using a Monte Carlo method to generate the plurality of prediction sets based on the merged probability distribution, the prediction sets including a plurality of prediction values for the first set of individuals, each respective prediction value being associated with one of the plurality of content tags. | 1. A method of configuring a plurality of display devices communicatively coupled to a distributed local area communication network, the method comprising: obtaining images of a plurality of individuals at an event location, wherein the local area communication network is at the event location: identifying a plurality of individual data objects in a data store, each of the plurality of individual data objects defining features of a respective set of the plurality of individuals using facial recognition of images obtained of the plurality of individuals; identifying a data object of the plurality of individual data objects, the data object identifying a first set of individuals having a first feature; selecting a plurality of content tags based on the first feature; tagging a plurality of content items with one or more of the plurality of content tags; identifying a first content item of the plurality of content items, the first content item being associated with a first content tag, the first content tag being associated with the first set of individuals; selecting a second content item based on the first content tag; generating a display layout for the first and second content items; selecting a display device among the plurality of the display devices communicatively coupled to the distributed local area communication network, wherein a location of the display device is associated with the respective set of the plurality of individuals; transmitting, to the selected display device, the first and second content item, the display layout, and a display time; configuring, over the distributed communication network, a first FPGA chip in the selected display device to display the first and second content items having a look and feel of the generated display layout; configuring a second FPGA chip in the selected display device to display the second content item for the display time, wherein the selecting of the plurality of content tags comprises: for the first feature, determining a respective probability distribution indicating, for each of a respective content tag among the plurality of content tags, a probability that a set of individuals associated with a content tag has the first feature, thereby generating a plurality of probability distributions; using a probabilistic classifier to generate a merged probability distribution based on the plurality of probability distributions; and using a plurality of prediction sets to select the plurality of content tags, the plurality of content tags being associated with the first set of individuals, and wherein the method further comprises, using a Monte Carlo method to generate the plurality of prediction sets based on the merged probability distribution, the prediction sets including a plurality of prediction values for the first set of individuals, each respective prediction value being associated with one of the plurality of content tags. 3. The method of claim 1 , wherein the first feature comprises a hashtag. | 0.961418 |
1. A computer readable storage medium having stored thereon a system for application-layer monitoring of communication between one or more database clients and one or more database servers, the system comprising: one or more decoders residing at a decoding layer above a network layer, the decoders residing on a database device at a first network location between one or more database clients residing at one or more second network locations distinct from the first network location and one or more database servers residing at one or more third network locations distinct from both the first network location and the one or more second network locations, the decoders on the database device being operable to: receive database messages communicated over the network from any of the database clients residing at the one or more second network locations and intended for any of the database servers at the one or more third network locations and database messages communicated from the database servers and intended for the database clients; decode the database messages, wherein decoding the database messages comprises decoding a protocol generated as an output of a database connectivity driver in response to an input by a database application residing at an application layer, wherein decoding the database messages comprises decoding database messages of database implementations different from each other and, wherein the database connectivity driver is utilized by the one or more database clients to communicate with the database server; and extract query-language statements from the database messages, wherein the query-language statements are created by the database application at one or more of the database clients and provided as input to the database connectivity driver and the database connectivity driver generate the database message as an output based on the query-language statement; and a monitoring application residing at an application layer above the decoding layer, the monitoring application residing on the database device at the first network location, the monitoring application being operable to receive query-language statements extracted at the decoders and record observations on the database messages based at least in part on the query-language statements extracted at the decoders. | 1. A computer readable storage medium having stored thereon a system for application-layer monitoring of communication between one or more database clients and one or more database servers, the system comprising: one or more decoders residing at a decoding layer above a network layer, the decoders residing on a database device at a first network location between one or more database clients residing at one or more second network locations distinct from the first network location and one or more database servers residing at one or more third network locations distinct from both the first network location and the one or more second network locations, the decoders on the database device being operable to: receive database messages communicated over the network from any of the database clients residing at the one or more second network locations and intended for any of the database servers at the one or more third network locations and database messages communicated from the database servers and intended for the database clients; decode the database messages, wherein decoding the database messages comprises decoding a protocol generated as an output of a database connectivity driver in response to an input by a database application residing at an application layer, wherein decoding the database messages comprises decoding database messages of database implementations different from each other and, wherein the database connectivity driver is utilized by the one or more database clients to communicate with the database server; and extract query-language statements from the database messages, wherein the query-language statements are created by the database application at one or more of the database clients and provided as input to the database connectivity driver and the database connectivity driver generate the database message as an output based on the query-language statement; and a monitoring application residing at an application layer above the decoding layer, the monitoring application residing on the database device at the first network location, the monitoring application being operable to receive query-language statements extracted at the decoders and record observations on the database messages based at least in part on the query-language statements extracted at the decoders. 14. The system of claim 1 , wherein the decoders comprise at least: a first decoder operable to decode Distributed Relational Database Architecture (DRDA) database messages; a second decoder operable to decode Tabular Data Stream (TDS) database messages; and a third decoder operable to decode OracleNet database messages. | 0.660494 |
4. The method of claim 2 , comprising: providing in said legality expression language a grant element specifying a permission that a principal may perform an act; and enforcing by said system said legality expression. | 4. The method of claim 2 , comprising: providing in said legality expression language a grant element specifying a permission that a principal may perform an act; and enforcing by said system said legality expression. 46. The method of claim 4 , comprising: enforcing said permission based on said grant element by verifying that said principal may perform said act. | 0.900646 |
14. An apparatus, comprising: an event extraction device, implemented at least partially by hardware, that extracts a set of accessed domain names from a set of events stored in a field-searchable data store; a domain name evaluation device, implemented at least partially by hardware, that identifies a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was registered with a registrar; a registration time comparison device, implemented at least partially by hardware, that identifies a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; a domain name access counter device, implemented at least partially by hardware, that determines, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; a display processor, implemented at least partially by hardware, that causes display of information relating to the access count corresponding to each accessed domain name in the subset. | 14. An apparatus, comprising: an event extraction device, implemented at least partially by hardware, that extracts a set of accessed domain names from a set of events stored in a field-searchable data store; a domain name evaluation device, implemented at least partially by hardware, that identifies a respective registration time for each accessed domain name in the set of accessed domain names, wherein the respective registration time is indicative of when the accessed domain name was registered with a registrar; a registration time comparison device, implemented at least partially by hardware, that identifies a subset of accessed domain names in the set of accessed domain names for which the identified respective registration time of each accessed domain name in the subset is recent relative to times for other accessed domain names in the set of accessed domain names; a domain name access counter device, implemented at least partially by hardware, that determines, for each accessed domain name in the subset, an access count corresponding to how many times the set of events indicates that the accessed domain name in the subset was accessed; a display processor, implemented at least partially by hardware, that causes display of information relating to the access count corresponding to each accessed domain name in the subset. 17. The apparatus of claim 14 , wherein the display of information comprises at least one of: a graph, a scatter plot, a table, or a message. | 0.793966 |
8. A method, comprising: acquiring image data for an image of a person; and aligning a template to the image data by maximizing a strong classifier score, wherein the strong classifier score is based on a plurality of weak classifiers defined by positive and negative training images; wherein the positive training images are obtained by warping image data according to ground truth shape parameters, and the negative training images are obtained by warping the image data according to perturbed shape parameters. | 8. A method, comprising: acquiring image data for an image of a person; and aligning a template to the image data by maximizing a strong classifier score, wherein the strong classifier score is based on a plurality of weak classifiers defined by positive and negative training images; wherein the positive training images are obtained by warping image data according to ground truth shape parameters, and the negative training images are obtained by warping the image data according to perturbed shape parameters. 10. The method of claim 8 , comprising estimating head orientation of the person based on the aligned template. | 0.57329 |
1. A method for ingesting and delivering video comprising: crawling a video reference source for references to videos hosted at a video host that is different from the video reference source; if a reference meets one or more predetermined ingest criteria, ingesting comments relevant to the video from the video host and comments relevant to the video from the video reference source; parsing the ingested comments to identify moments in the video, identifying a moment if a comment includes a reference to a time in the video and storing the time and a text of the comment in a record of the moment; and delivering the video together with moments identified in the video and dynamically displaying and hiding the moments based on times of the moments and a delivery progression of the video, wherein the crawling step is performed by a crawler component executed by a processor, the ingesting step is performed by an ingest component executed by a processor, the parsing step is performed by an analysis component executed by a processor, and the delivery step is performed by a delivery component executed by a processor and wherein the predetermined ingest criteria include a criterion that is based on a metric of video popularity established by the video reference source. | 1. A method for ingesting and delivering video comprising: crawling a video reference source for references to videos hosted at a video host that is different from the video reference source; if a reference meets one or more predetermined ingest criteria, ingesting comments relevant to the video from the video host and comments relevant to the video from the video reference source; parsing the ingested comments to identify moments in the video, identifying a moment if a comment includes a reference to a time in the video and storing the time and a text of the comment in a record of the moment; and delivering the video together with moments identified in the video and dynamically displaying and hiding the moments based on times of the moments and a delivery progression of the video, wherein the crawling step is performed by a crawler component executed by a processor, the ingesting step is performed by an ingest component executed by a processor, the parsing step is performed by an analysis component executed by a processor, and the delivery step is performed by a delivery component executed by a processor and wherein the predetermined ingest criteria include a criterion that is based on a metric of video popularity established by the video reference source. 11. The method of claim 1 , wherein a moment is identified if a comment includes link to a video that includes within the link a reference to a time in the video. | 0.683381 |
15. The apparatus of claim 14 , wherein the program code is further configured such that mapping each operand in the plurality of operands into the operand map comprises assigning each operand in the plurality of operands to a separate bit in a binary operand map, and wherein the operand identifier for a node comprises a binary value that includes a bit set for each operand identified by the operand identifier according to the binary operand map. | 15. The apparatus of claim 14 , wherein the program code is further configured such that mapping each operand in the plurality of operands into the operand map comprises assigning each operand in the plurality of operands to a separate bit in a binary operand map, and wherein the operand identifier for a node comprises a binary value that includes a bit set for each operand identified by the operand identifier according to the binary operand map. 19. The apparatus of claim 15 , wherein a number of bits in the operand identifier is based upon a number of predicates in the expression. | 0.866331 |
4. The method of claim 1 , wherein constructing, by the computer, the document sentiment vector space from the group of document further comprises: creating a term-by-document matrix of all terms occurring in the group of documents; and decomposing the term-by-document matrix into a term-by-concepts matrix and a documents-by-concepts matrix. | 4. The method of claim 1 , wherein constructing, by the computer, the document sentiment vector space from the group of document further comprises: creating a term-by-document matrix of all terms occurring in the group of documents; and decomposing the term-by-document matrix into a term-by-concepts matrix and a documents-by-concepts matrix. 6. The method of claim 4 , wherein defining the region of sentimental significance in the document sentiment vector space further comprises: creating a binding term vector from term vector in the term-by-concepts matrix representing the unique sentiment binding term. | 0.946132 |
23. A system for replicating IP address assignment changes in a distributed database having a plurality of nodes, comprising: a processor configured to: receive a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database, wherein a change request to modify the distributed database is expressed as the semantic command, the semantic command being expressed as one of a predefined set of commands, wherein the receiving of the semantic command at the first node comprises to: receive credentials of a user; and determine whether to authorize the user based on the received credentials, the user being authorized in the event that the user has not been previously authorized within a predetermined time period; and provisionally apply the semantic command to the first local version of the database before sending the semantic command to the master node, wherein the provisional applying the semantic command to the first local version of the database comprises modifying the first local version of the database before reconciling the modification with the master node, wherein the reconciling of the modification with the master comprises to: forward the received credentials to the master; determine whether the modification would cause a conflict on the master, comprising to: determine whether the same user has been authorized on a second node within the predetermined time period; and in the event that the modification would not cause a conflict, perform the modification on the master node; and a memory coupled with the processor, wherein the memory provides the processor with instructions. | 23. A system for replicating IP address assignment changes in a distributed database having a plurality of nodes, comprising: a processor configured to: receive a semantic command at a first node having a first local version of the database, wherein the semantic command comprises a semantically expressed request to modify one or more IP address assignments in the database that allows for provisional modification of the first local version of the database before sending the semantic command to a master node having a master version of the database, wherein a change request to modify the distributed database is expressed as the semantic command, the semantic command being expressed as one of a predefined set of commands, wherein the receiving of the semantic command at the first node comprises to: receive credentials of a user; and determine whether to authorize the user based on the received credentials, the user being authorized in the event that the user has not been previously authorized within a predetermined time period; and provisionally apply the semantic command to the first local version of the database before sending the semantic command to the master node, wherein the provisional applying the semantic command to the first local version of the database comprises modifying the first local version of the database before reconciling the modification with the master node, wherein the reconciling of the modification with the master comprises to: forward the received credentials to the master; determine whether the modification would cause a conflict on the master, comprising to: determine whether the same user has been authorized on a second node within the predetermined time period; and in the event that the modification would not cause a conflict, perform the modification on the master node; and a memory coupled with the processor, wherein the memory provides the processor with instructions. 28. A system as recited in claim 23 , wherein the first node is a passive node in a high availability pair. | 0.837942 |
1. A method for facilitating interactions between devices, the method comprising: receiving, at a computing device, a first transmission comprising data from a first content provider and a second transmission comprising data from a second content provider; generating, by the computing device, a first message based at least in part on the data from the first content provider, wherein the first message is structured according to: a transport layer defining one or more interaction paradigms for categorizing interactions and defining a plurality of message types, wherein each message type of the plurality of message types includes a set of attributes that comprises at least a message attribute and a transport attribute; a data layer defining one or more data formats, wherein the plurality of message types include payload data formatted according to at least one of the one or more data formats; and a first domain message layer that defines a first set of the plurality of message types used to generate messages between a consumer device and a provider device; generating, by the computing device, a second message based at least in part on the data from the second content provider, wherein the second message is structured according to the transport layer, the data layer, and a second domain message layer defining a second set of the plurality of message types different from the first set of the plurality of message types; and transmitting the first message and the second message to the consumer device configured to parse the payload data in the data layer of the first message in a first contextual manner based on an item type attribute of the first message identifying an item type model of the first domain message layer and to parse the payload data in the data layer of the second message in a second contextual manner based on an item type attribute of the second message identifying an item type model of the second domain message layer, wherein the first domain message layer includes the item type model and a content definition model, wherein the content definition model defines at least one of a field meaning or a field relationship for a field used by the item type model. | 1. A method for facilitating interactions between devices, the method comprising: receiving, at a computing device, a first transmission comprising data from a first content provider and a second transmission comprising data from a second content provider; generating, by the computing device, a first message based at least in part on the data from the first content provider, wherein the first message is structured according to: a transport layer defining one or more interaction paradigms for categorizing interactions and defining a plurality of message types, wherein each message type of the plurality of message types includes a set of attributes that comprises at least a message attribute and a transport attribute; a data layer defining one or more data formats, wherein the plurality of message types include payload data formatted according to at least one of the one or more data formats; and a first domain message layer that defines a first set of the plurality of message types used to generate messages between a consumer device and a provider device; generating, by the computing device, a second message based at least in part on the data from the second content provider, wherein the second message is structured according to the transport layer, the data layer, and a second domain message layer defining a second set of the plurality of message types different from the first set of the plurality of message types; and transmitting the first message and the second message to the consumer device configured to parse the payload data in the data layer of the first message in a first contextual manner based on an item type attribute of the first message identifying an item type model of the first domain message layer and to parse the payload data in the data layer of the second message in a second contextual manner based on an item type attribute of the second message identifying an item type model of the second domain message layer, wherein the first domain message layer includes the item type model and a content definition model, wherein the content definition model defines at least one of a field meaning or a field relationship for a field used by the item type model. 4. The method of claim 1 , wherein the plurality of message types includes one or more base attributes. | 0.579359 |
1. A method comprising: receiving and recording, by a server digital processing system (DPS), a first query received from a plurality of independent users during a search session; providing, by the server DPS, one or more search results to the independent users in response to the query during their respective search sessions, wherein each independent user is enabled to pick at least one of the provided search results; receiving and recording, by the server DPS, a plurality of search results picked by the independent users during their respective search sessions; receiving and recording, by the server DPS, a plurality of second queries received from the independent users during their respective search sessions; receiving, by the server DPS, the first query from a user; determining, by the server DPS, a first topic associated with the first query; correlating, by the server DPS, the first query with at least one of the recorded second queries to form a query-to-query association and a recorded picked search result and to form a query-to-pick association in order to determine a second topic related to the first topic; and providing, by the server DPS, a response to the first query based upon the determined first and second topics. | 1. A method comprising: receiving and recording, by a server digital processing system (DPS), a first query received from a plurality of independent users during a search session; providing, by the server DPS, one or more search results to the independent users in response to the query during their respective search sessions, wherein each independent user is enabled to pick at least one of the provided search results; receiving and recording, by the server DPS, a plurality of search results picked by the independent users during their respective search sessions; receiving and recording, by the server DPS, a plurality of second queries received from the independent users during their respective search sessions; receiving, by the server DPS, the first query from a user; determining, by the server DPS, a first topic associated with the first query; correlating, by the server DPS, the first query with at least one of the recorded second queries to form a query-to-query association and a recorded picked search result and to form a query-to-pick association in order to determine a second topic related to the first topic; and providing, by the server DPS, a response to the first query based upon the determined first and second topics. 5. The method of claim 1 wherein the particular characteristic of the first query is that the first query is associated with a plurality of result product types and the response to the query is based upon the association. | 0.830275 |
1. A mobile telephone communication system, comprising: an input port configured to obtain voice data from at least one user, wherein the input port is configured to further communicate the voice data as part of a conversation through a mobile telephone communication network; at least one memory configured to store the voice data, a plurality of searchable transcripts of voice data obtained during a respective plurality of communications, each searchable transcript comprising a plurality of words, data indicating a time offset of the plurality of words with respect to the obtained voice data, and a synopsis of the conversation, wherein the searchable transcript is derived from at least a portion of the voice data obtained by the input port which is not communicated as part of a telephone conversation through the mobile telephone communication system, a respective word of a respective searchable transcript being synchronized with the voice data corresponding to the respective word; and a processor configured to: associate searchable metadata with the voice data for each of the plurality of communications, the searchable metadata comprising at least a physical location of the user during the respective communication, store the associated searchable metadata with the respective searchable transcript and synopsis of the conversation for each of the respective plurality of communications, in a manner searchable based on a content of the searchable transcript, a content of the synopsis, and the physical location of the user during a respective communication, and associate targeted advertising for presentation to a user in dependence on both the physical location and the searchable transcript. | 1. A mobile telephone communication system, comprising: an input port configured to obtain voice data from at least one user, wherein the input port is configured to further communicate the voice data as part of a conversation through a mobile telephone communication network; at least one memory configured to store the voice data, a plurality of searchable transcripts of voice data obtained during a respective plurality of communications, each searchable transcript comprising a plurality of words, data indicating a time offset of the plurality of words with respect to the obtained voice data, and a synopsis of the conversation, wherein the searchable transcript is derived from at least a portion of the voice data obtained by the input port which is not communicated as part of a telephone conversation through the mobile telephone communication system, a respective word of a respective searchable transcript being synchronized with the voice data corresponding to the respective word; and a processor configured to: associate searchable metadata with the voice data for each of the plurality of communications, the searchable metadata comprising at least a physical location of the user during the respective communication, store the associated searchable metadata with the respective searchable transcript and synopsis of the conversation for each of the respective plurality of communications, in a manner searchable based on a content of the searchable transcript, a content of the synopsis, and the physical location of the user during a respective communication, and associate targeted advertising for presentation to a user in dependence on both the physical location and the searchable transcript. 4. The system as in claim 1 , wherein the metadata further comprises name data representing a name of a telephone communication counterparty of a respective communication. | 0.5 |
6. A computer program product for facilitating navigation of voice data, said computer program product residing on a tangible machine-readable medium having stored thereon machine executable instructions which when executed on a computer system cause the computer system to: scan voice data to detect a plurality of points each meeting one of a plurality of delimiter types within predefined content criteria; add at least one token to said voice data at each of said plurality of points; display a graphical user interface comprising a selectable listing of said plurality of delimiter types for a user to select a particular delimiter to search for within said voice data, and a plurality of selectable movers through which a user selects to move forward and backward to a selection of said plurality of points specifying said particular delimiter during playback of said voice data and through which said user selects to move up and down said selectable listing of said plurality of delimiter types to select said particular delimiter. | 6. A computer program product for facilitating navigation of voice data, said computer program product residing on a tangible machine-readable medium having stored thereon machine executable instructions which when executed on a computer system cause the computer system to: scan voice data to detect a plurality of points each meeting one of a plurality of delimiter types within predefined content criteria; add at least one token to said voice data at each of said plurality of points; display a graphical user interface comprising a selectable listing of said plurality of delimiter types for a user to select a particular delimiter to search for within said voice data, and a plurality of selectable movers through which a user selects to move forward and backward to a selection of said plurality of points specifying said particular delimiter during playback of said voice data and through which said user selects to move up and down said selectable listing of said plurality of delimiter types to select said particular delimiter. 8. The computer program product according to claim 6 , wherein the tangible computer-readable program when executed on the computer system further causes the computer system to: convert said voice data into text; scan said text for at least one point meeting one of said plurality of delimiter types of said predefined content criteria; and add said at least one token at a location within said voice data matching said at least one point in said text. | 0.5 |
2. The system of claim 1 , wherein the plurality of lexical correspondence type choices presented to the user includes a mapping type, a transfer type and a combination type. | 2. The system of claim 1 , wherein the plurality of lexical correspondence type choices presented to the user includes a mapping type, a transfer type and a combination type. 4. The system of claim 2 , wherein a transfer correspondence between the first node and the second node indicates that the first node and the second node are non-equivalent terminal nodes for which extensions of the first node in the first dependency tree are to be mirrored into extensions of the second node in the second dependency tree. | 0.923094 |
19. The system of claim 7 , wherein the semantic engine controls a device based on the access control action. | 19. The system of claim 7 , wherein the semantic engine controls a device based on the access control action. 21. The system of claim 19 , wherein the device is a digital device. | 0.980134 |
1. A method for handling hand-written annotations related to one or more physical documents, the method comprising: receiving a physical document including a hand-written annotation, the hand-written annotation is made by a user corresponding to at least a portion of the physical document, wherein the hand-written annotation is one of a plurality of hand-written annotations corresponding to the portion of the physical document; capturing the hand-written annotation and corresponding first position information of the hand-written annotation, wherein capturing further includes capturing a second position information of the at least portion of the physical document; storing the captured hand-written annotation, first position information of the hand-written annotation and second position information of the at least portion of the physical document; associating the hand-written annotation to the at least portion of the physical document; upon cropping a camera view of the physical document, obtaining a third position information of the at least portion of the physical document; determining a relative position of the hand-written annotation based on a relative position of the at least portion of the physical document in the camera view, wherein the relative position of the at least portion of the physical document is based on the third position information being relative to the second position information of the at least portion of the physical document, and wherein the relative position of the hand-written annotation is based on a fourth position information of the hand-written annotation relative to the first position information of the hand-written annotation; determining that a quantity of the plurality of hand-written annotations corresponding to the portion of the physical document exceeds a pre-defined quantity; displaying, within the camera view, a marker indicating a presence of the plurality of hand-written annotations; and sharing the hand-written annotation with other users, wherein the method is performed by a processor. | 1. A method for handling hand-written annotations related to one or more physical documents, the method comprising: receiving a physical document including a hand-written annotation, the hand-written annotation is made by a user corresponding to at least a portion of the physical document, wherein the hand-written annotation is one of a plurality of hand-written annotations corresponding to the portion of the physical document; capturing the hand-written annotation and corresponding first position information of the hand-written annotation, wherein capturing further includes capturing a second position information of the at least portion of the physical document; storing the captured hand-written annotation, first position information of the hand-written annotation and second position information of the at least portion of the physical document; associating the hand-written annotation to the at least portion of the physical document; upon cropping a camera view of the physical document, obtaining a third position information of the at least portion of the physical document; determining a relative position of the hand-written annotation based on a relative position of the at least portion of the physical document in the camera view, wherein the relative position of the at least portion of the physical document is based on the third position information being relative to the second position information of the at least portion of the physical document, and wherein the relative position of the hand-written annotation is based on a fourth position information of the hand-written annotation relative to the first position information of the hand-written annotation; determining that a quantity of the plurality of hand-written annotations corresponding to the portion of the physical document exceeds a pre-defined quantity; displaying, within the camera view, a marker indicating a presence of the plurality of hand-written annotations; and sharing the hand-written annotation with other users, wherein the method is performed by a processor. 2. The method of claim 1 , further comprising scanning the physical document. | 0.53217 |
1. A method for acquiring and processing legal data, the method comprising: accessing a source of legal information; retrieving legal data from the source of legal information; recognizing words in the legal data by performing word recognition on the legal data; receiving input from an administrator manually modifying the legal data by modifying text previously incorrectly recognized during a word recognition process and inputting supplemental data by adding metadata to the legal data where no metadata element has already been generated; identifying one or more portions of a data set derived from the legal data and the supplemental data, each portion including a legal event; generating a metadata element for each legal event identified in the one or more portions, wherein a plurality of metadata elements of different types are generated for at least one of the portions; associating each of the one or more portions with at least one of the plurality of metadata elements, the at least one metadata element signaling which legal events are identified within each portion; identifying, based on one or more of the recognized words, references to legal events within the one or more portions of the data set; identifying a first portion, within the one or more portions of the data set, in which a reference to a legal event was found; associating the first portion with a different metadata element corresponding to the legal events referenced in the first portion; constructing a legal database that is searchable by legal event and includes the data set and the plurality of metadata elements; generating a graphical user interface; receiving input, via the graphical user interface, from a user specifying search parameters used to identify a segment of the data set; applying legal analytics to the segment of the data set; presenting, via the graphical user interface, analytic results that include a graphical summary; and receiving input from the user adjusting the analytic results by modifying the search parameters. | 1. A method for acquiring and processing legal data, the method comprising: accessing a source of legal information; retrieving legal data from the source of legal information; recognizing words in the legal data by performing word recognition on the legal data; receiving input from an administrator manually modifying the legal data by modifying text previously incorrectly recognized during a word recognition process and inputting supplemental data by adding metadata to the legal data where no metadata element has already been generated; identifying one or more portions of a data set derived from the legal data and the supplemental data, each portion including a legal event; generating a metadata element for each legal event identified in the one or more portions, wherein a plurality of metadata elements of different types are generated for at least one of the portions; associating each of the one or more portions with at least one of the plurality of metadata elements, the at least one metadata element signaling which legal events are identified within each portion; identifying, based on one or more of the recognized words, references to legal events within the one or more portions of the data set; identifying a first portion, within the one or more portions of the data set, in which a reference to a legal event was found; associating the first portion with a different metadata element corresponding to the legal events referenced in the first portion; constructing a legal database that is searchable by legal event and includes the data set and the plurality of metadata elements; generating a graphical user interface; receiving input, via the graphical user interface, from a user specifying search parameters used to identify a segment of the data set; applying legal analytics to the segment of the data set; presenting, via the graphical user interface, analytic results that include a graphical summary; and receiving input from the user adjusting the analytic results by modifying the search parameters. 6. The method of claim 1 , wherein the source of legal information is Public Access to Court Electronic Records (PACER), Patent Application Information Retrieval (PAIR), or Electronic Document Information System (EDIS). | 0.5 |
31. A method of providing a graphical user interface for a namespace management system, comprising: providing a namespace and storage management system having a console with a computer screen; a namespace and storage management application executing on the management console, the namespace and storage management application being configured to initiate performance of commands directed to managed objects including facilitating configuration and management of pathnames in a logical namespace, and the namespace and storage management application being further configured to spawn a graphical user interface thread for use by a graphical user interface (GUI) toolkit configured to produce reusable GUI components, the GUI components including a navigation frame having a plurality of navigation panels simultaneously displayed on the computer screen, the navigation panels including a hierarchy panel, an operations panel, a view panel and a display panel to allow a user to manage various pathnames exported by the first and second namespace servers within the single namespace service, said GUI toolkit supporting reusable templates that facilitate reuse of the GUI components within one of the management application and other applications; generating one or more wizards adapted to collect a name of each machine or server in the system, a type of machine, a share name of a share to be created, and a directory where the share is stored; resolving type of machine whether a filer or a host; if the type of machine is a host, then processing operations through a host agent; if the type of machine is a filer, then the step of processing operations through a host agent is skipped; displaying on said computer screen, dialog boxes for said wizards on pages of one or more GUI components; and using said dialog boxes, a user can make selections. | 31. A method of providing a graphical user interface for a namespace management system, comprising: providing a namespace and storage management system having a console with a computer screen; a namespace and storage management application executing on the management console, the namespace and storage management application being configured to initiate performance of commands directed to managed objects including facilitating configuration and management of pathnames in a logical namespace, and the namespace and storage management application being further configured to spawn a graphical user interface thread for use by a graphical user interface (GUI) toolkit configured to produce reusable GUI components, the GUI components including a navigation frame having a plurality of navigation panels simultaneously displayed on the computer screen, the navigation panels including a hierarchy panel, an operations panel, a view panel and a display panel to allow a user to manage various pathnames exported by the first and second namespace servers within the single namespace service, said GUI toolkit supporting reusable templates that facilitate reuse of the GUI components within one of the management application and other applications; generating one or more wizards adapted to collect a name of each machine or server in the system, a type of machine, a share name of a share to be created, and a directory where the share is stored; resolving type of machine whether a filer or a host; if the type of machine is a host, then processing operations through a host agent; if the type of machine is a filer, then the step of processing operations through a host agent is skipped; displaying on said computer screen, dialog boxes for said wizards on pages of one or more GUI components; and using said dialog boxes, a user can make selections. 32. The method as defined in claim 31 wherein a reusable host object is provided for resolving the type of machine. | 0.514851 |
50. The method of claim 49 wherein the user may designate data to be printed on a line by specifying a mnemonic association with particular data stored in the computer. | 50. The method of claim 49 wherein the user may designate data to be printed on a line by specifying a mnemonic association with particular data stored in the computer. 51. The method of claim 50 wherein the user may designate text selected from the class consisting of a blank line, a row of hyphens, a centered label, a subheading, and a percentage of data. | 0.897471 |
1. A method for translating web APIs, comprising: receiving a request for a resource in a particular format that specifies a set of entities and a set of operations associated with the set of entities from a service requester, the service requester comprises an application running on a computing device; generating a normalized metadata repository, the generating the normalized metadata repository includes acquiring one or more program modules, the one or more program modules include a first annotation corresponding with a first method and a second annotation corresponding with a second method, the generating the normalized metadata repository includes identifying a first operation corresponding with a first entity type using the first annotation and identifying a second operation correspond with a second entity type different from the first entity type using the second annotation, the generating the normalized metadata repository includes identifying a relationship between the first entity type and the second entity type using the properties of first entity type defined in the second entity type; accessing the normalized metadata repository that includes data corresponding with the set of entities and the set of operations associated with the set of entities; acquiring a protocol adapter associated with the particular format; generating the resource in the particular format using the normalized metadata repository and the protocol adapter in response to receiving the request for the resource in the particular format, the generating the resource in the particular format is performed using a server in communication with the computing device; and transmitting a response to the service requester that includes the resource in the particular format. | 1. A method for translating web APIs, comprising: receiving a request for a resource in a particular format that specifies a set of entities and a set of operations associated with the set of entities from a service requester, the service requester comprises an application running on a computing device; generating a normalized metadata repository, the generating the normalized metadata repository includes acquiring one or more program modules, the one or more program modules include a first annotation corresponding with a first method and a second annotation corresponding with a second method, the generating the normalized metadata repository includes identifying a first operation corresponding with a first entity type using the first annotation and identifying a second operation correspond with a second entity type different from the first entity type using the second annotation, the generating the normalized metadata repository includes identifying a relationship between the first entity type and the second entity type using the properties of first entity type defined in the second entity type; accessing the normalized metadata repository that includes data corresponding with the set of entities and the set of operations associated with the set of entities; acquiring a protocol adapter associated with the particular format; generating the resource in the particular format using the normalized metadata repository and the protocol adapter in response to receiving the request for the resource in the particular format, the generating the resource in the particular format is performed using a server in communication with the computing device; and transmitting a response to the service requester that includes the resource in the particular format. 5. The method of claim 1 , wherein: the first annotation comprises a Java annotation; and the one or more program modules comprise Java code. | 0.542291 |
11. The method of claim 1 , wherein the local speech recognition result is provided to the cloud speech service without a user-supplied confirmation that the local speech recognition correctly identified the speech received at the vehicle. | 11. The method of claim 1 , wherein the local speech recognition result is provided to the cloud speech service without a user-supplied confirmation that the local speech recognition correctly identified the speech received at the vehicle. 12. The method of claim 11 , further comprising determining the local speech recognition result corrected the error condition by exceeding a predetermined threshold confidence level. | 0.901645 |
6. The system of claim 1 wherein each set includes a media broadcast receiver having a control input and further includes a control device for sending control signals to said control input, said control device being manually manipulable for making personalized setup selections from said setup alternatives, said setup alternatives being supported by said receiver. | 6. The system of claim 1 wherein each set includes a media broadcast receiver having a control input and further includes a control device for sending control signals to said control input, said control device being manually manipulable for making personalized setup selections from said setup alternatives, said setup alternatives being supported by said receiver. 8. The system of claim 6 wherein said control device is a personal computer. | 0.890648 |
2. The method of claim 1 , wherein setting a set of pricing sub-models comprises setting a first pricing sub-model for a group of billable items and setting a second pricing sub-model at a second instance through an administrator interface. | 2. The method of claim 1 , wherein setting a set of pricing sub-models comprises setting a first pricing sub-model for a group of billable items and setting a second pricing sub-model at a second instance through an administrator interface. 3. The method of claim 2 , wherein the first pricing sub-model is set at a first instance and the second pricing model is set at the second instance that is substantially distinct from the first instance; and wherein the first and second pricing sub-models are set through an administrator interface. | 0.964997 |
1. A computer-implemented method termed GLL-PC for finding a set of direct causes and direct effects of the response/target variable or for finding a Markov blanket of the response/target variable for local causal discovery or feature selection, said method comprising the following steps all of which are performed on a computer: 1) find an approximation of the set of direct causes and direct effects of response variable T using the following steps: a) initialize a set of candidates to be a subset of all variables minus the response variable T; b) initialize a priority queue of variables to be examined for inclusion in the candidates set from the remaining variables; c) apply a user-provided inclusion heuristic function to prioritize variables in the priority queue for inclusion in the candidates set; d) remove non-eligible variables from the priority queue; e) insert in the candidates set the highest-priority variable(s) in the priority queue and remove them from the priority queue; f) apply a user-provided elimination strategy to remove variables from the candidates set; g) iterate among the inclusion, prioritization and elimination steps c, d, e and f according to a user-provided interleaving strategy until a termination criterion is met; variables may be re-ranked after each update of the candidate set, or the original ranking may be used throughout the method's operation; 2) store the candidate set resulting from step (1) in PC T ; 3) for every variable X i belonging in PC T , apply step (1) designating X i as the response variable; 4) for every variable X i belonging in PC T , if the response variable T is not in the output of step (3) for the response variable X i , then eliminate X i from PC T ; and 5) output the set PC T . | 1. A computer-implemented method termed GLL-PC for finding a set of direct causes and direct effects of the response/target variable or for finding a Markov blanket of the response/target variable for local causal discovery or feature selection, said method comprising the following steps all of which are performed on a computer: 1) find an approximation of the set of direct causes and direct effects of response variable T using the following steps: a) initialize a set of candidates to be a subset of all variables minus the response variable T; b) initialize a priority queue of variables to be examined for inclusion in the candidates set from the remaining variables; c) apply a user-provided inclusion heuristic function to prioritize variables in the priority queue for inclusion in the candidates set; d) remove non-eligible variables from the priority queue; e) insert in the candidates set the highest-priority variable(s) in the priority queue and remove them from the priority queue; f) apply a user-provided elimination strategy to remove variables from the candidates set; g) iterate among the inclusion, prioritization and elimination steps c, d, e and f according to a user-provided interleaving strategy until a termination criterion is met; variables may be re-ranked after each update of the candidate set, or the original ranking may be used throughout the method's operation; 2) store the candidate set resulting from step (1) in PC T ; 3) for every variable X i belonging in PC T , apply step (1) designating X i as the response variable; 4) for every variable X i belonging in PC T , if the response variable T is not in the output of step (3) for the response variable X i , then eliminate X i from PC T ; and 5) output the set PC T . 3. The computer-implemented method of claim 1 in which step (1.c) applies the inclusion heuristic function implemented using one of the following methods: a) based on random search over values of standard heuristics; b) based on observed probability of a variable to remain in the candidate set after conditioning on many subsets of variables; c) based on known structure of the data generating process and/or distributional characteristics. | 0.852524 |
1. A method performed by a data processing apparatus, the method comprising: receiving, at a computing device, text captured from a rendered document during a text capture operation; receiving, at the computing device, supplemental information including information relating to circumstances under which the text capture operation was performed, the information relating to circumstances under which the text capture operation was performed comprising a geographic location at which the text capture operation was performed to capture the text from the rendered document; determining, by the computing device and based on the supplemental information including the geographic location at which the text capture operation was performed to capture the text from the rendered document, an action to be performed on the captured text; and causing the action to be performed on the captured text. | 1. A method performed by a data processing apparatus, the method comprising: receiving, at a computing device, text captured from a rendered document during a text capture operation; receiving, at the computing device, supplemental information including information relating to circumstances under which the text capture operation was performed, the information relating to circumstances under which the text capture operation was performed comprising a geographic location at which the text capture operation was performed to capture the text from the rendered document; determining, by the computing device and based on the supplemental information including the geographic location at which the text capture operation was performed to capture the text from the rendered document, an action to be performed on the captured text; and causing the action to be performed on the captured text. 9. The method of claim 1 , wherein determining the action to be performed comprises customizing presentation of content based on the supplemental information. | 0.607722 |
1. At a web browser in a computing system, a method of sending a secure email via an email server, the method comprising: receiving user input requesting a compose email page user interface for a web-based email system; requesting the compose email page user interface from a server for the web-based mail system; receiving web page code from the server for the compose email page user interface; parsing the web page code for the compose email page user interface to determine screen locations of one or more user input interface elements including at least an email text box user input interface element; rendering the compose email page user interface in the browser, the compose email page user interface configured to receive plain text user input from a user; overlaying one or more browser-based user interface elements implemented integral to the browser and separate from the web page code from the server onto the compose email page user interface, wherein one or more of the browser-based interface elements are displayed at one or more of the determined screen locations, including overlaying a browser-based text box user input interface element over the email text box user input interface element; receiving unencrypted plain text user input in the overlaid browser-based text box user input interface element, wherein the unencrypted plain text user input is not available to the email server ; encrypting the unencrypted plain text user input received in the overlaid browser-based text box user input interface element to encrypted text, wherein encrypting the plain text user input comprises: sending a request to a key server for a sender key, wherein the request includes an identification of an entity sending the secure email; receiving a sender key, the sender key being derived from a master secret key and the identification of the entity sending the secure email; generating a sender-recipient key using the sender key and an identification of a recipient of the secure email; deriving an encryption key using the sender-recipient key; and using the encryption key, encrypting the user input received in the overlaid browser-based text box user input interface element; transferring the encrypted text from the overlaid browser-based text box user input interface element into the email text box user input interface element overlaid by the browser-based text box user input interface element; sending the secure email comprising the transferred encrypted text to an intended recipient via an email server; and wherein the email server is unable to decrypt the encrypted text. | 1. At a web browser in a computing system, a method of sending a secure email via an email server, the method comprising: receiving user input requesting a compose email page user interface for a web-based email system; requesting the compose email page user interface from a server for the web-based mail system; receiving web page code from the server for the compose email page user interface; parsing the web page code for the compose email page user interface to determine screen locations of one or more user input interface elements including at least an email text box user input interface element; rendering the compose email page user interface in the browser, the compose email page user interface configured to receive plain text user input from a user; overlaying one or more browser-based user interface elements implemented integral to the browser and separate from the web page code from the server onto the compose email page user interface, wherein one or more of the browser-based interface elements are displayed at one or more of the determined screen locations, including overlaying a browser-based text box user input interface element over the email text box user input interface element; receiving unencrypted plain text user input in the overlaid browser-based text box user input interface element, wherein the unencrypted plain text user input is not available to the email server ; encrypting the unencrypted plain text user input received in the overlaid browser-based text box user input interface element to encrypted text, wherein encrypting the plain text user input comprises: sending a request to a key server for a sender key, wherein the request includes an identification of an entity sending the secure email; receiving a sender key, the sender key being derived from a master secret key and the identification of the entity sending the secure email; generating a sender-recipient key using the sender key and an identification of a recipient of the secure email; deriving an encryption key using the sender-recipient key; and using the encryption key, encrypting the user input received in the overlaid browser-based text box user input interface element; transferring the encrypted text from the overlaid browser-based text box user input interface element into the email text box user input interface element overlaid by the browser-based text box user input interface element; sending the secure email comprising the transferred encrypted text to an intended recipient via an email server; and wherein the email server is unable to decrypt the encrypted text. 2. The method of claim 1 further comprising modifying input into at least one of a subject line user interface element of the compose email page user interface, a to field user interface element of the compose email page user interface, a from field user interface element of the compose email page user interface; a cc field user interface element of the compose email page user interface or the email text box user input interface element of the compose email page user interface to indicate that a secure email is being sent. | 0.556951 |
21. The system of claim 20 wherein the basic tree conversion component is configured to copy labels from nodes in the ALR to non-terminal nodes in the basic syntax tree. | 21. The system of claim 20 wherein the basic tree conversion component is configured to copy labels from nodes in the ALR to non-terminal nodes in the basic syntax tree. 22. The system of claim 21 wherein the basic tree conversion component is configured to identify a node in the ALR that includes a lexical feature of a verb indicating that the verb has a stem and a separable prefix, to identify that the verb is in a separable context, and to split the identified node into a stem node and a prefix node. | 0.856066 |
1. A method comprising: parsing a message for sensitive data; encrypting the sensitive data; generating private tags; and tagging the sensitive data by inserting the private tags at a beginning of the sensitive data and at an end of the sensitive data, wherein information in the private tags comprises a name and value pair identifying a decryption method to utilize in decrypting the sensitive data. | 1. A method comprising: parsing a message for sensitive data; encrypting the sensitive data; generating private tags; and tagging the sensitive data by inserting the private tags at a beginning of the sensitive data and at an end of the sensitive data, wherein information in the private tags comprises a name and value pair identifying a decryption method to utilize in decrypting the sensitive data. 4. The method of claim 1 wherein the parsing a message for sensitive data comprises identifying the sensitive data using user defined rules. | 0.699396 |
7. A processor-readable storage medium containing one or more programming instructions for detecting a bad faith essay response, the programming instructions, when executed, causing a processing system to execute steps comprising: receiving a plurality of essay prompts; receiving an essay response associated with a particular essay prompt of the plurality of essay prompts; scoring the essay response associated with the particular essay prompt against each of the plurality of essay prompts to generate plural similarity scores; and determining if the essay response associated with the particular essay prompt is a bad faith essay response based at least in part on determining whether the plural similarity scores indicate the essay response associated with the particular essay prompt is sufficiently dissimilar to each of the plurality of essay prompts. | 7. A processor-readable storage medium containing one or more programming instructions for detecting a bad faith essay response, the programming instructions, when executed, causing a processing system to execute steps comprising: receiving a plurality of essay prompts; receiving an essay response associated with a particular essay prompt of the plurality of essay prompts; scoring the essay response associated with the particular essay prompt against each of the plurality of essay prompts to generate plural similarity scores; and determining if the essay response associated with the particular essay prompt is a bad faith essay response based at least in part on determining whether the plural similarity scores indicate the essay response associated with the particular essay prompt is sufficiently dissimilar to each of the plurality of essay prompts. 8. The processor-readable storage medium of claim 7 wherein determining from the vector of features if the essay response is a bad faith essay response further comprises using a classifier including neural network, the classifier being trained by vectors of features and then at least assisting in determining whether the essay response is a bad faith essay response based on the vectors of features. | 0.538614 |
10. A system configured to identify content items ordered based on microgenres of desired content items, the system comprising: a server comprising circuitry configured to: receive, from a client device of a user, through the user interfacing with a video consumption application that is executed at the client device, an input identifying a desired content item of a plurality of content items, wherein each content item of the plurality of content items is associated with: a respective genre that broadly characterizes the respective content item, a respective microgenre that, with respect to the respective genre, narrowly characterizes the respective content item, and a respective relevance value that indicates how relevant the respective content item is to the user; cause to be stored, at a database, an entry associated with a microgenre of the desired content item in a data structure associated with a profile of the user; identify, based on the profile of the user, a subset of the plurality of content items, wherein the respective microgenre associated with each content item of the subset comprises the microgenre of the desired content item; increase the respective relevance value associated with each content item of the subset; rank each content item of the plurality of content items in an order reflecting the respective relevance value associated with each content item of the plurality of content items; and cause the client device to, using the video consumption application, generate a display based on the order. | 10. A system configured to identify content items ordered based on microgenres of desired content items, the system comprising: a server comprising circuitry configured to: receive, from a client device of a user, through the user interfacing with a video consumption application that is executed at the client device, an input identifying a desired content item of a plurality of content items, wherein each content item of the plurality of content items is associated with: a respective genre that broadly characterizes the respective content item, a respective microgenre that, with respect to the respective genre, narrowly characterizes the respective content item, and a respective relevance value that indicates how relevant the respective content item is to the user; cause to be stored, at a database, an entry associated with a microgenre of the desired content item in a data structure associated with a profile of the user; identify, based on the profile of the user, a subset of the plurality of content items, wherein the respective microgenre associated with each content item of the subset comprises the microgenre of the desired content item; increase the respective relevance value associated with each content item of the subset; rank each content item of the plurality of content items in an order reflecting the respective relevance value associated with each content item of the plurality of content items; and cause the client device to, using the video consumption application, generate a display based on the order. 15. The system of claim 10 , wherein the subset is a first subset, and wherein the circuitry of the server is further configured, when increasing the respective relevance value associated with each content item of the first subset, to: determine a highest relevance value associated with a plurality of relevance values associated with a second subset of the plurality of content items, wherein the respective microgenre associated with each content item in the second subset does not comprise the microgenre of the desired content item; and modify the respective relevance value associated with each content item of the first subset to be at least as high as the highest relevance value. | 0.5 |
60. A computer-implemented method for providing security disclosure information in at least two aligned formats, the method comprising: receiving by a computer audio security disclosure data and visual security disclosure data comprising video data; inserting by the computer a first marker into the received audio security disclosure data; automatically creating, without human input, by the computer a text adapted to be visually displayed directly from the audio security disclosure data; inserting by the computer a second marker in the text for aligning a portion of the audio data with a portion of the text; inserting a third marker in said visual security disclosure data in a position corresponding to at least one of the first marker location in the audio security disclosure data and the second marker location in the text; creating, without human input, a summary text corresponding to the text adapted to be visually displayed, wherein the summary text is created directly from the audio security disclosure data, and wherein the summary text is shorter than the text adapted to be visually displayed; and inserting a fourth marker in said summary text in a position corresponding to at least one of the first marker location in the audio data and the second marker location in the text. | 60. A computer-implemented method for providing security disclosure information in at least two aligned formats, the method comprising: receiving by a computer audio security disclosure data and visual security disclosure data comprising video data; inserting by the computer a first marker into the received audio security disclosure data; automatically creating, without human input, by the computer a text adapted to be visually displayed directly from the audio security disclosure data; inserting by the computer a second marker in the text for aligning a portion of the audio data with a portion of the text; inserting a third marker in said visual security disclosure data in a position corresponding to at least one of the first marker location in the audio security disclosure data and the second marker location in the text; creating, without human input, a summary text corresponding to the text adapted to be visually displayed, wherein the summary text is created directly from the audio security disclosure data, and wherein the summary text is shorter than the text adapted to be visually displayed; and inserting a fourth marker in said summary text in a position corresponding to at least one of the first marker location in the audio data and the second marker location in the text. 61. The method according to claim 60 , wherein the security disclosure data comprises tradable security disclosure data. | 0.568345 |
7. A computer program product for a content management system, the computer program product comprising: a storage medium readable by a computer system, the computer readable medium storing instructions configured to perform a method comprising: automatically detecting a document type for a document based on content of the document; automatically tailoring a set of prompts based on the detected document type, wherein at least one prompt in the set of prompts request information that fails to be discernable from the document; requesting a set of information from a user about the document through the set of prompts that have been tailored, wherein at least one prompt in the set of prompts requests information that fails to be discernable from the document; receiving, in response to the requesting, the set of information as a set of user-prompted input; automatically extracting metadata from the document, wherein the document, the user-prompted input, and the extracted metadata collectively comprise a document/metadata package; analyzing a business process comprising a plurality of instructions and a usage specification, wherein the usage specification indicates for each instruction in the plurality of instructions whether the instruction is to be executed; executing one or more instructions in the plurality of instructions based on the usage specification, wherein the one or more instructions comprise: a) analyzing the document/metadata package, a layout of the document, and content within the layout to generate a document classification for the document; b) based on the document classification, selectively extracting key data fields from their respective locations within the document, the extracted key data fields comprising zonal data elements, and wherein the key data fields and their respective locations are specified within the business process; c) sending a notification to a notification recipient that said document/metadata package and said zonal data elements requires a verification, said verification comprising at least one of reviewing, correcting, augmenting, and performing actions required by said document; and d) based on the verification, selectively and automatically executing any additional instructions for the document; and transmitting the document/metadata package and the zonal data elements with an output device as determined from the extracted metadata and the business processes. | 7. A computer program product for a content management system, the computer program product comprising: a storage medium readable by a computer system, the computer readable medium storing instructions configured to perform a method comprising: automatically detecting a document type for a document based on content of the document; automatically tailoring a set of prompts based on the detected document type, wherein at least one prompt in the set of prompts request information that fails to be discernable from the document; requesting a set of information from a user about the document through the set of prompts that have been tailored, wherein at least one prompt in the set of prompts requests information that fails to be discernable from the document; receiving, in response to the requesting, the set of information as a set of user-prompted input; automatically extracting metadata from the document, wherein the document, the user-prompted input, and the extracted metadata collectively comprise a document/metadata package; analyzing a business process comprising a plurality of instructions and a usage specification, wherein the usage specification indicates for each instruction in the plurality of instructions whether the instruction is to be executed; executing one or more instructions in the plurality of instructions based on the usage specification, wherein the one or more instructions comprise: a) analyzing the document/metadata package, a layout of the document, and content within the layout to generate a document classification for the document; b) based on the document classification, selectively extracting key data fields from their respective locations within the document, the extracted key data fields comprising zonal data elements, and wherein the key data fields and their respective locations are specified within the business process; c) sending a notification to a notification recipient that said document/metadata package and said zonal data elements requires a verification, said verification comprising at least one of reviewing, correcting, augmenting, and performing actions required by said document; and d) based on the verification, selectively and automatically executing any additional instructions for the document; and transmitting the document/metadata package and the zonal data elements with an output device as determined from the extracted metadata and the business processes. 9. The computer program product of claim 7 , further comprising transmitting to the output device at least one of: any of the corrections, any of the augmentations, and a record of any of the required actions performed. | 0.535211 |
18. The query module of claim 17 , wherein the name search module is further configured to: for each component name, identify at least one version of the component name and perform said determining and executing with respect to said at least one identified version of the component name. | 18. The query module of claim 17 , wherein the name search module is further configured to: for each component name, identify at least one version of the component name and perform said determining and executing with respect to said at least one identified version of the component name. 20. The query module of claim 18 , wherein the name search module is further configured to provide of said at least one candidate name by forming an intersection to identify one or more candidate names that match lookup results associated with plural component names in the input name, including determining the probability score of each candidate name by taking a product of fuzzy match scores associated with the component names that correspond to the candidate name. | 0.862078 |
16. The system of claim 15 , said program code further comprising: program code for decreasing a time remaining in respective ones of said content item idle timers in response to detecting a user performing a specific operation on said associated one of said content items in said active subset of said set of content items. | 16. The system of claim 15 , said program code further comprising: program code for decreasing a time remaining in respective ones of said content item idle timers in response to detecting a user performing a specific operation on said associated one of said content items in said active subset of said set of content items. 17. The system of claim 16 , wherein said specific operation is dynamically determined in response to determining at least one use pattern of said user. | 0.880999 |
2. The automated shopping system of claim 1 , wherein the management system determines default content for each step of the multiple steps. | 2. The automated shopping system of claim 1 , wherein the management system determines default content for each step of the multiple steps. 3. The automated shopping system of claim 2 , wherein the default content is determined by one of the user, the system, and an operator of the system. | 0.972635 |
10. The method of claim 1 , comprising: receiving a first tag search from the first user, the first tag search specifying a second tag; responsive to the second tag corresponding to a second personal tag collection associated with the first user, providing access to the second personal tag collection through a personal tag collection interface; and responsive to the second tag corresponding to a second public tag collection, providing access to the second public tag collection through a public tag collection interface. | 10. The method of claim 1 , comprising: receiving a first tag search from the first user, the first tag search specifying a second tag; responsive to the second tag corresponding to a second personal tag collection associated with the first user, providing access to the second personal tag collection through a personal tag collection interface; and responsive to the second tag corresponding to a second public tag collection, providing access to the second public tag collection through a public tag collection interface. 11. The method of claim 10 , the providing access to the second public tag collection comprising: displaying one or more avatars through the public tag collection interface, an avatar representing a user that tagged a search result, within the second public tag collection, with the second tag. | 0.86032 |
8. A computer-implemented method, comprising: receiving a search request from a user; determining a multi-dimensional point of a user profile within a user profile context, the user profile context storing information pertaining to the user; determining a multi-dimensional point for a document within a document context, the document context storing a plurality of documents to be searched; generating scores for the plurality of documents to be searched; measuring a distance between the multi-dimensional point of the user profile and the multi-dimensional point for the document; and determining a plurality of search hits based on the measuring and the generated scores. | 8. A computer-implemented method, comprising: receiving a search request from a user; determining a multi-dimensional point of a user profile within a user profile context, the user profile context storing information pertaining to the user; determining a multi-dimensional point for a document within a document context, the document context storing a plurality of documents to be searched; generating scores for the plurality of documents to be searched; measuring a distance between the multi-dimensional point of the user profile and the multi-dimensional point for the document; and determining a plurality of search hits based on the measuring and the generated scores. 10. The computer-implemented method of claim 8 , further comprising visually displaying the plurality of search hits. | 0.596732 |
8. A system comprising: an indexer that identifies words within a first document and determines a term identifier for said words, said first document having a document identifier; a term processor that identifies terms within said first document and determines a term identifier for said terms; a distributor that identifies a first segment manager from a plurality of segment managers based on said document identifier and transmits at least said document identifier to said first segment manager; said first segment manager that creates a plurality of individual matrices from said first document; an aggregator that creates a set of consolidated matrices from a plurality of individual matrices; and a search engine that receives a search query, searches said set of consolidated matrices to identify a search result, and returns said search result. | 8. A system comprising: an indexer that identifies words within a first document and determines a term identifier for said words, said first document having a document identifier; a term processor that identifies terms within said first document and determines a term identifier for said terms; a distributor that identifies a first segment manager from a plurality of segment managers based on said document identifier and transmits at least said document identifier to said first segment manager; said first segment manager that creates a plurality of individual matrices from said first document; an aggregator that creates a set of consolidated matrices from a plurality of individual matrices; and a search engine that receives a search query, searches said set of consolidated matrices to identify a search result, and returns said search result. 13. The system of claim 8 , said set of consolidated matrices comprising a set of ngram matrices and a set of term matrices. | 0.668425 |
1. A structured document management apparatus comprising: a document data accepting unit that accepts input of structured document data having a hierarchical logic structure; a structure guide data storage unit that stores structure guide data which is a summary of hierarchical structure information of the structured document, wherein the structure guide data contains a guide node where unique identification information is allocated; a structure stream converting unit that executes a syntax analysis of the structured document data, and converts the structured document data into structure stream data as one-dimensional sequence data by arranging the unique identification information of guide nodes corresponding to nodes that pass when depth-prioritized tracing is performed from a route node of the structured document data using the structured guide data; a structure stream data storage unit that stores the structure stream data; a query data accepting unit that accepts input of query data; a path pattern compile unit that creates a path pattern processing table which specifies a processing procedure specialized for the query data by executing a syntax analysis of the accepted query data and creating a primary structure graph in which a relationship between tags is expressed by a tree format, and collating the primary structure graph and the structured guide data, converting the primary structure graph and the structured guide data into the unique identification information, and creating a secondary structure graph where unnecessary nodes are removed, the path pattern processing table including: an Entry Table which has a sequence element corresponding to the unique identification information and executes a process corresponding to the unique identification information; a Place which is a storage area for holding a queue of Tokens as intermediate data, the Place representing a position of the unique identification information; and a Trans which connects one Place and another Place and flows a Token held at a high-order Place to a low-order Place, the path pattern processing table being created by pasting the process corresponding to the unique identification information of the Entry Table and linking the Place and the Trans recursively from the route node to a terminal node of the secondary structure graph; and a structure stream scanning unit that acquires the structure stream data from the structure stream data storage unit, and gives the structure stream to the path pattern processing table so as to execute the processing procedure. | 1. A structured document management apparatus comprising: a document data accepting unit that accepts input of structured document data having a hierarchical logic structure; a structure guide data storage unit that stores structure guide data which is a summary of hierarchical structure information of the structured document, wherein the structure guide data contains a guide node where unique identification information is allocated; a structure stream converting unit that executes a syntax analysis of the structured document data, and converts the structured document data into structure stream data as one-dimensional sequence data by arranging the unique identification information of guide nodes corresponding to nodes that pass when depth-prioritized tracing is performed from a route node of the structured document data using the structured guide data; a structure stream data storage unit that stores the structure stream data; a query data accepting unit that accepts input of query data; a path pattern compile unit that creates a path pattern processing table which specifies a processing procedure specialized for the query data by executing a syntax analysis of the accepted query data and creating a primary structure graph in which a relationship between tags is expressed by a tree format, and collating the primary structure graph and the structured guide data, converting the primary structure graph and the structured guide data into the unique identification information, and creating a secondary structure graph where unnecessary nodes are removed, the path pattern processing table including: an Entry Table which has a sequence element corresponding to the unique identification information and executes a process corresponding to the unique identification information; a Place which is a storage area for holding a queue of Tokens as intermediate data, the Place representing a position of the unique identification information; and a Trans which connects one Place and another Place and flows a Token held at a high-order Place to a low-order Place, the path pattern processing table being created by pasting the process corresponding to the unique identification information of the Entry Table and linking the Place and the Trans recursively from the route node to a terminal node of the secondary structure graph; and a structure stream scanning unit that acquires the structure stream data from the structure stream data storage unit, and gives the structure stream to the path pattern processing table so as to execute the processing procedure. 3. The apparatus according to claim 1 , wherein the path pattern compile unit incorporates a procedure for skipping a portion of the structure stream data in the path pattern processing table when structure information of the structured document data is defined. | 0.601818 |
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