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8. The computer-implemented method of claim 1 , further comprising: receiving a first textual comment through the graphical interface at a second moment during the presentation; in response to receiving the first textual comment, storing second data that maps the first textual comment to a second time point at which the motion video was being presented at the second moment; and updating the user interface to include both the first textual comment and a first timestamp that indicates that the first textual comment pertains to the second time point. | 8. The computer-implemented method of claim 1 , further comprising: receiving a first textual comment through the graphical interface at a second moment during the presentation; in response to receiving the first textual comment, storing second data that maps the first textual comment to a second time point at which the motion video was being presented at the second moment; and updating the user interface to include both the first textual comment and a first timestamp that indicates that the first textual comment pertains to the second time point. 9. The computer-implemented method of claim 8 , further comprising: receiving a second textual comment through the graphical interface at a third moment during the presentation; in response to receiving the second textual comment, storing third data that maps the second textual comment to a third time point at which the motion video was being presented at the third moment; and updating the user interface to include the first textual comment, the second textual comment, the first timestamp, and a second timestamp that indicates that the second textual comment pertains to the third time point. | 0.895717 |
15. The computerized method of claim 10 further comprising: determining that a generation limit has been reached. | 15. The computerized method of claim 10 further comprising: determining that a generation limit has been reached. 17. The computerized method of claim 15 , wherein the generation limit is based upon a number of repeated story templates. | 0.984882 |
6. A method of reproducing text subtitle streams, the method comprising: reading, by a data reproducing apparatus, at least one text subtitle stream from a recording medium, each text subtitle stream including a style segment defining region styles and a plurality of presentation segments to which the style segment applies, each presentation segment containing at least one region subtitle and presentation time information, each region subtitle being linked to one of the region styles and including region information associated with the corresponding region subtitle, the presentation time information defining a presentation time of the corresponding presentation segment, the presentation time information including first information for indicating a presentation start time of the corresponding presentation segment and second information for indicating a presentation end time of the corresponding presentation segment, wherein the region information includes data type information and data, the data being defined as inline style information or text string information according to the data type information, the data type information including an end-of-inline-style field for representing that each of the inline style information is applied until an end of the inline style information is detected; and decoding, by the data reproducing apparatus, the at least one text subtitle stream based on the style segment and the region information. | 6. A method of reproducing text subtitle streams, the method comprising: reading, by a data reproducing apparatus, at least one text subtitle stream from a recording medium, each text subtitle stream including a style segment defining region styles and a plurality of presentation segments to which the style segment applies, each presentation segment containing at least one region subtitle and presentation time information, each region subtitle being linked to one of the region styles and including region information associated with the corresponding region subtitle, the presentation time information defining a presentation time of the corresponding presentation segment, the presentation time information including first information for indicating a presentation start time of the corresponding presentation segment and second information for indicating a presentation end time of the corresponding presentation segment, wherein the region information includes data type information and data, the data being defined as inline style information or text string information according to the data type information, the data type information including an end-of-inline-style field for representing that each of the inline style information is applied until an end of the inline style information is detected; and decoding, by the data reproducing apparatus, the at least one text subtitle stream based on the style segment and the region information. 7. The method of claim 6 , wherein the data type information further includes a type of line-break indicating that the text string is drawn in a new line. | 0.593806 |
9. A data processing system for retrieving data, comprising: a computer processor; a database management system for retrieving data from a data repository in response to queries; and a plurality of conditional constraints, wherein each constraint is programmatically generated by execution of a constraint generation routine that performs a constraint generation operation, comprising: issuing a first query to retrieve distinct values for a first field; receiving results for the first query, the results comprising the distinct values for the first field; for each of the distinct values for the first field, issuing a second query configured to retrieve, for a second field, a result set that satisfies a first condition comprising the first field related to the distinct value by an operator; determining whether a correlation exists between (i) the respective distinct value of the first field and (ii) a respective result set value of the second field; and if a correlation exists, defining a conditional constraint for the first field based on the correlation, wherein the conditional constraint specifies the addition of a second condition to a query if the query includes the respective first condition, wherein the second condition includes the second field related to the respective result set value by an operator. | 9. A data processing system for retrieving data, comprising: a computer processor; a database management system for retrieving data from a data repository in response to queries; and a plurality of conditional constraints, wherein each constraint is programmatically generated by execution of a constraint generation routine that performs a constraint generation operation, comprising: issuing a first query to retrieve distinct values for a first field; receiving results for the first query, the results comprising the distinct values for the first field; for each of the distinct values for the first field, issuing a second query configured to retrieve, for a second field, a result set that satisfies a first condition comprising the first field related to the distinct value by an operator; determining whether a correlation exists between (i) the respective distinct value of the first field and (ii) a respective result set value of the second field; and if a correlation exists, defining a conditional constraint for the first field based on the correlation, wherein the conditional constraint specifies the addition of a second condition to a query if the query includes the respective first condition, wherein the second condition includes the second field related to the respective result set value by an operator. 11. The data processing system of claim 9 , further comprising a program component for managing a plurality of conditional constraints by: determining whether the respective correlation is violated by a data entry; and if the respective correlation is violated, removing the conditional constraint for which the respective correlation is violated. | 0.605764 |
1. A computer operated method for distributing a resume of a job seeker to career websites, the method comprising the steps of: storing resume data from a job seeker within a storage area of a server computer; the server presenting a list of career websites in a user interface to the job seeker; selecting at least one career website from the list of career websites by the job seeker; for each next career website of the at least one career website: the server computer navigating to the next career website without user interaction; if a username and a password for the job seeker on the next career website is known, the server computer logs onto the next career website without user interaction using the username and password, if the username and the password for the job seeker on the next career website is unknown, the server computer creates a default user account on the next career website using a default username and a default password and the server computer logs onto the next career website without user interaction using the default username and the default password; and the server computer populating fields on the career website from the resume data from the storage area without user interaction. | 1. A computer operated method for distributing a resume of a job seeker to career websites, the method comprising the steps of: storing resume data from a job seeker within a storage area of a server computer; the server presenting a list of career websites in a user interface to the job seeker; selecting at least one career website from the list of career websites by the job seeker; for each next career website of the at least one career website: the server computer navigating to the next career website without user interaction; if a username and a password for the job seeker on the next career website is known, the server computer logs onto the next career website without user interaction using the username and password, if the username and the password for the job seeker on the next career website is unknown, the server computer creates a default user account on the next career website using a default username and a default password and the server computer logs onto the next career website without user interaction using the default username and the default password; and the server computer populating fields on the career website from the resume data from the storage area without user interaction. 5. The method according to claim 1 , wherein the step of storing the resume data further includes extracting information from an uploaded text resume. | 0.658817 |
1. A computer-based method of performing an action in a spoken dialog system comprising: retrieving a policy mapping belief states of user intents to actions; receiving a spoken utterance from a user; determining a belief state of the user's intent based on the spoken utterance using a probabilistic ontology tree (POT) comprising a plurality of unobserved nodes each representing a domain concept and comprising a probability distribution table including probabilities that the concept represented by the unobserved node takes each of a plurality of values, wherein each unobserved node is associated with a dialog slot to which the spoken utterance is assigned based on the relatedness between the spoken utterance and the domain concept represented by the unobserved node; selecting an action to take based on the determined belief state and the retrieved policy; and performing the selected action. | 1. A computer-based method of performing an action in a spoken dialog system comprising: retrieving a policy mapping belief states of user intents to actions; receiving a spoken utterance from a user; determining a belief state of the user's intent based on the spoken utterance using a probabilistic ontology tree (POT) comprising a plurality of unobserved nodes each representing a domain concept and comprising a probability distribution table including probabilities that the concept represented by the unobserved node takes each of a plurality of values, wherein each unobserved node is associated with a dialog slot to which the spoken utterance is assigned based on the relatedness between the spoken utterance and the domain concept represented by the unobserved node; selecting an action to take based on the determined belief state and the retrieved policy; and performing the selected action. 12. The method of claim 1 , wherein determining a belief state of the user's intent based on the spoken utterance comprises: creating an observed node in the POT for each dialog slot associated with an unobserved node to which the spoken utterance is assigned, each observed node comprising a probability distribution table including probabilities that the intended node value of the unobserved node is correctly and incorrectly identified; and determining a belief state of user intent based on the joint probability of the unobserved node probability distribution tables and the observed node probability distribution tables. | 0.5 |
11. A computer program product, comprising: a computer readable storage medium having program code embodied therewith, the program code executable by a computer to cause the computer to: initiate, by the computer, a new document notification process in response to receipt of a new document, the new document notification process comprising: evaluating enhanced metadata of the new document via a relationship analyzing process to produce a priority list defining a likelihood of possible access, wherein the enhanced metadata includes a set of keywords and/or references from the new document; and store, by the computer, the new document in a storage tier of a hierarchical storage environment according to the priority list; receive a request to access the new document; accessing the new document; triggering and/or implementing a second document access notification process in response to the request, the second document access notification process comprising: determining documents that are related to the new document based on the enhanced metadata and the priority list; and placing the related documents in a highest level storage tier of the hierarchical storage environment. | 11. A computer program product, comprising: a computer readable storage medium having program code embodied therewith, the program code executable by a computer to cause the computer to: initiate, by the computer, a new document notification process in response to receipt of a new document, the new document notification process comprising: evaluating enhanced metadata of the new document via a relationship analyzing process to produce a priority list defining a likelihood of possible access, wherein the enhanced metadata includes a set of keywords and/or references from the new document; and store, by the computer, the new document in a storage tier of a hierarchical storage environment according to the priority list; receive a request to access the new document; accessing the new document; triggering and/or implementing a second document access notification process in response to the request, the second document access notification process comprising: determining documents that are related to the new document based on the enhanced metadata and the priority list; and placing the related documents in a highest level storage tier of the hierarchical storage environment. 15. The computer program product according to claim 11 , wherein the enhanced metadata includes at least one history selected from the group consisting of: a user file access history and a user search history. | 0.667164 |
1. A method comprising: generating, by at least one processor, a first translation of a first portion of a source text into a target language, wherein generating comprises extracting at least one first lexical meaning of the first portion; selecting, by the processor, a first semantic class for the first lexical meaning from one or more first semantic classes in a semantic hierarchy, wherein the first semantic class corresponds to the first lexical meaning in the semantic hierarchy; extracting, by the processor, a plurality of lexical meanings of a second portion of the source text, wherein the semantic hierarchy comprises a plurality of second semantic classes corresponding to the lexical meanings; selecting, by the processor, at least one second lexical meaning for the second portion from the lexical meanings based on distances between the second semantic classes and the first semantic class within the semantic hierarchy; generating, by the processor, a second translation of the second portion into the target language based on the selected second lexical meaning; and outputting the generated second translation. | 1. A method comprising: generating, by at least one processor, a first translation of a first portion of a source text into a target language, wherein generating comprises extracting at least one first lexical meaning of the first portion; selecting, by the processor, a first semantic class for the first lexical meaning from one or more first semantic classes in a semantic hierarchy, wherein the first semantic class corresponds to the first lexical meaning in the semantic hierarchy; extracting, by the processor, a plurality of lexical meanings of a second portion of the source text, wherein the semantic hierarchy comprises a plurality of second semantic classes corresponding to the lexical meanings; selecting, by the processor, at least one second lexical meaning for the second portion from the lexical meanings based on distances between the second semantic classes and the first semantic class within the semantic hierarchy; generating, by the processor, a second translation of the second portion into the target language based on the selected second lexical meaning; and outputting the generated second translation. 4. The method of claim 1 , further comprising identifying an instance of a plurality of parallel texts based on a selected subject matter of the first portion. | 0.59636 |
13. A computer-implemented method comprising: obtaining a list of references to articles; identifying, using one or more processors, for an article in the list of articles, a source with which the article is associated; determining, using one or more processors, a score for the source, the score being based on a value representing human opinion of the source, the human opinion being based on a poll of users that identifies user opinions of the sources, the score further being based on a length of time between an occurrence of an event and publication, by the source, of another article associated with the event; and ranking, using one or more processors, the article in the list of articles based on the score for the source. | 13. A computer-implemented method comprising: obtaining a list of references to articles; identifying, using one or more processors, for an article in the list of articles, a source with which the article is associated; determining, using one or more processors, a score for the source, the score being based on a value representing human opinion of the source, the human opinion being based on a poll of users that identifies user opinions of the sources, the score further being based on a length of time between an occurrence of an event and publication, by the source, of another article associated with the event; and ranking, using one or more processors, the article in the list of articles based on the score for the source. 17. The method of claim 13 , where the score is further based on a value representing international diversity of the source. | 0.862297 |
13. A computer system comprising a processor, the processor communicating with one or more memory devices storing instructions, the instructions operable to: receive a search query; divide the search query into a plurality of search parts; retrieve one or more search results for each of the plurality of search parts based on a relevancy ranking of the one or more search results; generate a search result array from the retrieved one or more search results; determine a Venn diagram graphical representation of the search result array; and display the Venn diagram graphical representation on a graphical user interface (GUI), comprising: displaying the one or more search results in the search result array within a Venn diagram, comprising: displaying some of the one or more search results in the search result array in corresponding non-overlapped portions of the Venn diagram; and displaying remaining search results in the search result array in corresponding overlapped portions of the Venn diagram through vector addition. | 13. A computer system comprising a processor, the processor communicating with one or more memory devices storing instructions, the instructions operable to: receive a search query; divide the search query into a plurality of search parts; retrieve one or more search results for each of the plurality of search parts based on a relevancy ranking of the one or more search results; generate a search result array from the retrieved one or more search results; determine a Venn diagram graphical representation of the search result array; and display the Venn diagram graphical representation on a graphical user interface (GUI), comprising: displaying the one or more search results in the search result array within a Venn diagram, comprising: displaying some of the one or more search results in the search result array in corresponding non-overlapped portions of the Venn diagram; and displaying remaining search results in the search result array in corresponding overlapped portions of the Venn diagram through vector addition. 16. The computer system of claim 13 , wherein the GUI is further operable to provide a weighting specification UI element for a user to specify weightings of the plurality of search parts, which define display opacity of at least one of the one or more search results and associated search part circles of the Venn diagram on the GUI. | 0.607617 |
12. A computer system comprising: at least one processor; and memory comprising instructions stored thereon that when executed by at least one processor cause at least one processor to perform acts comprising: receiving a query; inferring a query reading level representation from one or more user input actions associated with the query, the query reading level representation comprising a reading level distribution over multiple distribution reading levels, with the reading level distribution over multiple distribution reading levels comprising, for each of the multiple distribution reading levels, an indication of a probability that an item at that distribution reading level will be understood; in response to the query, ranking search result items, the ranking being based at least in part on the query reading level representation for the query and reading difficulty level representations for the search result items; and in response to the query, returning the search result items and one or more indications of the ranking. | 12. A computer system comprising: at least one processor; and memory comprising instructions stored thereon that when executed by at least one processor cause at least one processor to perform acts comprising: receiving a query; inferring a query reading level representation from one or more user input actions associated with the query, the query reading level representation comprising a reading level distribution over multiple distribution reading levels, with the reading level distribution over multiple distribution reading levels comprising, for each of the multiple distribution reading levels, an indication of a probability that an item at that distribution reading level will be understood; in response to the query, ranking search result items, the ranking being based at least in part on the query reading level representation for the query and reading difficulty level representations for the search result items; and in response to the query, returning the search result items and one or more indications of the ranking. 18. The computer system of claim 12 , wherein inferring the query reading level representation comprises analyzing one or more explicit reading level indications from user input. | 0.695458 |
22. A computer-readable medium being non-transitory and having stored thereon a plurality of instructions, the plurality of instructions including instructions that, when executed by a processor, cause the processor to: a) extract descriptors for each of a plurality of unlabeled exemplars, each extracted descriptor being a representation of a corresponding one of said plurality of unlabeled exemplars; b) automatically generate labels from said each extracted descriptor, said each extracted descriptor being used to automatically generate labels for other ones of said descriptors; c) develop a predictor for said each extracted descriptor from generated said labels; and d) combine predictions across predictors, labels being generated from combined said predictions for each of said unlabeled exemplars. | 22. A computer-readable medium being non-transitory and having stored thereon a plurality of instructions, the plurality of instructions including instructions that, when executed by a processor, cause the processor to: a) extract descriptors for each of a plurality of unlabeled exemplars, each extracted descriptor being a representation of a corresponding one of said plurality of unlabeled exemplars; b) automatically generate labels from said each extracted descriptor, said each extracted descriptor being used to automatically generate labels for other ones of said descriptors; c) develop a predictor for said each extracted descriptor from generated said labels; and d) combine predictions across predictors, labels being generated from combined said predictions for each of said unlabeled exemplars. 29. A computer-readable medium as in claim 22 , wherein said labels generated by the processor in step (d) include corresponding confidences quantitatively indicating the likelihood of an object represented by a label being present in corresponding unlabeled exemplar and, further, classifying corresponding said unlabeled exemplars. | 0.654653 |
11. A system for processing a multi-modal natural language input, the system comprising: an input device that receives a multi-modal natural language input comprising at least a natural language utterance and a non-voice input related to the natural language utterance; one or more secondary devices; and a first device having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, program the first device to: obtain, from the input device, the multi-modal natural language input; transcribe the natural language utterance; determine a preliminary intent prediction of the multi-modal natural language input based on the transcribed utterance and the non-voice input; and invoke at least one action at one or more of the input device, the first device, or the one or more secondary devices based on the preliminary intent prediction. | 11. A system for processing a multi-modal natural language input, the system comprising: an input device that receives a multi-modal natural language input comprising at least a natural language utterance and a non-voice input related to the natural language utterance; one or more secondary devices; and a first device having one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, program the first device to: obtain, from the input device, the multi-modal natural language input; transcribe the natural language utterance; determine a preliminary intent prediction of the multi-modal natural language input based on the transcribed utterance and the non-voice input; and invoke at least one action at one or more of the input device, the first device, or the one or more secondary devices based on the preliminary intent prediction. 19. The system of claim 11 , wherein the first device is further programmed to: communicate the multi-modal natural language input to each of the one or more secondary devices, wherein each of the one or more secondary devices determine an intent of the multi-modal natural language input received at the input device using local intent determination capabilities; receive the intent determined by each of the secondary devices; and arbitrate among the intent determinations of the secondary devices to determine the intent of the multi-modal natural input, wherein the at least one action is invoked based on the arbitrated intent determinations. | 0.586607 |
6. The system of claim 1 , wherein the context pattern learner learns a correlation between the abnormal situation contexts and the fault rules by using a neural network, and creates new context patterns corresponding to new fault causes based on the correlation to generate the new knowledge rules. | 6. The system of claim 1 , wherein the context pattern learner learns a correlation between the abnormal situation contexts and the fault rules by using a neural network, and creates new context patterns corresponding to new fault causes based on the correlation to generate the new knowledge rules. 7. The system of claim 6 , wherein the context pattern learner generates a correlation probability table corresponding to the new knowledge rules. | 0.901381 |
11. A system comprising: a database configured to store one or more updates associated with a data record, the data record being a parent record, the one or more updates related to one or more child records associated with the parent record, the parent record being at a first level of a hierarchy of records, the child records being at a second level of the hierarchy of records; and a server configured to: access the one or more updates stored in the database, provide the one or more updates as one or more candidates for publication on an information feed associated with the data record, the information feed capable of being displayed on a display device, and select a number of the candidates for publication on the information feed based on one or more criteria. | 11. A system comprising: a database configured to store one or more updates associated with a data record, the data record being a parent record, the one or more updates related to one or more child records associated with the parent record, the parent record being at a first level of a hierarchy of records, the child records being at a second level of the hierarchy of records; and a server configured to: access the one or more updates stored in the database, provide the one or more updates as one or more candidates for publication on an information feed associated with the data record, the information feed capable of being displayed on a display device, and select a number of the candidates for publication on the information feed based on one or more criteria. 17. The system of claim 11 , further comprising: a display device configured to display the information feed including the selected number of candidates. | 0.651042 |
1. A method for detecting unauthorized user account communications, comprising: sampling messages associated with an authorized user of an account to provide a plurality of message samples; creating an authorized profile based on language patterns extracted from the plurality of message samples; comparing by a processor a language pattern extracted from a recent message with the authorized profile to determine a deviation between the language pattern extracted from the recent message and the authorized profile; determining that the recent message is an unauthorized user account communication when the deviation is not within an allowable amount of deviation, the allowable amount of deviation being based on an amount of samples in the plurality of message samples; and generating an alert indicating that the recent message is an unauthorized user account communication in response to the determining that the recent message is an unauthorized user account communication. | 1. A method for detecting unauthorized user account communications, comprising: sampling messages associated with an authorized user of an account to provide a plurality of message samples; creating an authorized profile based on language patterns extracted from the plurality of message samples; comparing by a processor a language pattern extracted from a recent message with the authorized profile to determine a deviation between the language pattern extracted from the recent message and the authorized profile; determining that the recent message is an unauthorized user account communication when the deviation is not within an allowable amount of deviation, the allowable amount of deviation being based on an amount of samples in the plurality of message samples; and generating an alert indicating that the recent message is an unauthorized user account communication in response to the determining that the recent message is an unauthorized user account communication. 5. The method as recited in claim 1 , wherein sampling the messages comprises: sampling the messages associated with the authorized user until a predetermined number of samples is reached. | 0.780233 |
1. In a digital processing system, a method of processing a binary text image containing at least a first region containing at least a first word having a first type style and a second region containing at least a second word having a second type style to identify locations of said first words having said first type style, comprising the steps of: a) eroding said binary text image with a first structuring element to provide a first destination image having a plurality of remaining pixels, said first structuring element more likely to provide a hit in said first region than in said second region; and b) morphologically processing said remaining pixels of said first destination image to create a mask image substantially masking said locations of said first words. | 1. In a digital processing system, a method of processing a binary text image containing at least a first region containing at least a first word having a first type style and a second region containing at least a second word having a second type style to identify locations of said first words having said first type style, comprising the steps of: a) eroding said binary text image with a first structuring element to provide a first destination image having a plurality of remaining pixels, said first structuring element more likely to provide a hit in said first region than in said second region; and b) morphologically processing said remaining pixels of said first destination image to create a mask image substantially masking said locations of said first words. 38. The method as recited in claim 1 wherein the step of creating said mask image from said plurality of remaining pixels comprises the steps of: a) forming a text seed from said remaining pixels, said text seed having ON pixels only within regions of said first type style; b) forming a word mask from said binary text image, said word mask substantially masking words having said first type style and words having said second type style; and c) using said word mask to grow said text seed and create said mask image substantially masking said locations of said first words. | 0.671256 |
17. The audio data processing method of claim 16 , wherein said determining characteristics of the first user comprises performing at least one of spectral analysis, stress analysis and layered voice analysis on a portion of the speech data. | 17. The audio data processing method of claim 16 , wherein said determining characteristics of the first user comprises performing at least one of spectral analysis, stress analysis and layered voice analysis on a portion of the speech data. 18. The audio data processing method of claim 17 , wherein said determining characteristics of the first user further comprises determining at least one of gender, age and emotional temperament of the first user based on said performing at least one of spectral analysis, stress analysis and layered voice analysis on the portion of the speech data. | 0.871984 |
8. The non-transitory computer-readable medium of claim 7 , wherein the second modification is associated with a graphical element of the document. | 8. The non-transitory computer-readable medium of claim 7 , wherein the second modification is associated with a graphical element of the document. 9. The non-transitory computer-readable medium of claim 8 , further comprising: animating the graphical element on the display of the first device. | 0.956884 |
13. A system comprising: one or more processors; and computer-readable medium, the computer-readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a query; obtaining, by one or more processors, a plurality of search results that are responsive to the query; obtaining, by one or more processors, content from a social networking service that is responsive to the query and related to a particular search result of the plurality of search results, the content comprising a post published to the social networking service; modifying, by one or more processors, the particular search result to provide a revised search result comprising a summary of the post from the social networking service, the summary comprising a portions of the content; providing for display the revised search result and an interface component, the interface component provided with the revised search result; and receiving a request for interacting with the content, the request being provided through the interface component, and in response: modifying the revised search result to include all of the content of the post from the social networking service to display the complete post with the particular search result. | 13. A system comprising: one or more processors; and computer-readable medium, the computer-readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising: receiving a query; obtaining, by one or more processors, a plurality of search results that are responsive to the query; obtaining, by one or more processors, content from a social networking service that is responsive to the query and related to a particular search result of the plurality of search results, the content comprising a post published to the social networking service; modifying, by one or more processors, the particular search result to provide a revised search result comprising a summary of the post from the social networking service, the summary comprising a portions of the content; providing for display the revised search result and an interface component, the interface component provided with the revised search result; and receiving a request for interacting with the content, the request being provided through the interface component, and in response: modifying the revised search result to include all of the content of the post from the social networking service to display the complete post with the particular search result. 14. The system of claim 13 , wherein the request for interacting with the content comprises viewing the content from the social networking service. | 0.576246 |
10. An apparatus for maintaining a collection of test scripts, the apparatus comprising: an input adapted to receive test scripts and application data; a memory adapted to store data; and a processor adapted to: identify at least one common test script module present within at least two unmodularized test scripts, wherein the at least one common test script module is contained within each of the at least two unmodularized test scripts, and wherein each of the at least two unmodularized test scripts are associated with a common application; divide, by at least in part comparing a task coverage of a portion of the at least two unmodularized test scripts to a respective task coverage of one or more common test script modules stored in a module library, the at least two unmodularized test scripts into a set of modularized test scripts that comprises the at least one common test script module; receive an update to the common application; and update the at least one common test script module in response to the update of the common application, whereby updating the at least one common test script module causes a corresponding update to the at least two unmodularized test scripts. | 10. An apparatus for maintaining a collection of test scripts, the apparatus comprising: an input adapted to receive test scripts and application data; a memory adapted to store data; and a processor adapted to: identify at least one common test script module present within at least two unmodularized test scripts, wherein the at least one common test script module is contained within each of the at least two unmodularized test scripts, and wherein each of the at least two unmodularized test scripts are associated with a common application; divide, by at least in part comparing a task coverage of a portion of the at least two unmodularized test scripts to a respective task coverage of one or more common test script modules stored in a module library, the at least two unmodularized test scripts into a set of modularized test scripts that comprises the at least one common test script module; receive an update to the common application; and update the at least one common test script module in response to the update of the common application, whereby updating the at least one common test script module causes a corresponding update to the at least two unmodularized test scripts. 17. The apparatus according to claim 10 , further comprising: an output adapted to: present to a user, prior to the updating, a list of common test script modules associated with the application; and indicate to the user which modules in the list of modules require updating, wherein the input accepts a selection from the user of the module for updating. | 0.557951 |
1. A computer-implemented method comprising: detecting a current context associated with a mobile computing device, the current context indicating a physical location at which the mobile computing device is located; determining autonomously by the mobile computing device, based on the current context, whether to switch the mobile computing device from a current mode of operation to a second mode of operation during which the mobile computing device monitors ambient sounds for voice input that indicates a request to perform an operation; in response to determining to switch to the second mode of operation, activating one or more microphones and a speech analysis subsystem associated with the mobile computing device so that the mobile computing device receives a stream of audio data; identifying changes in the voice input in the stream of audio data, wherein the changes include at least one of the following: a pause in the voice input, a change in speed of delivery of the voice input, or a change in tone or inflection of the voice input; determining whether the voice input in the stream of audio data is directed at the mobile computing device based, at least in part, on the identified changes; determining whether the voice input in the stream of audio data indicates a request to perform an operation based, at least in part, on the determination of whether the voice input is directed at the mobile computing device; and providing an output on the mobile computing device that is responsive to the voice input that is detected in the stream of audio data and that indicates the request to perform an operation. | 1. A computer-implemented method comprising: detecting a current context associated with a mobile computing device, the current context indicating a physical location at which the mobile computing device is located; determining autonomously by the mobile computing device, based on the current context, whether to switch the mobile computing device from a current mode of operation to a second mode of operation during which the mobile computing device monitors ambient sounds for voice input that indicates a request to perform an operation; in response to determining to switch to the second mode of operation, activating one or more microphones and a speech analysis subsystem associated with the mobile computing device so that the mobile computing device receives a stream of audio data; identifying changes in the voice input in the stream of audio data, wherein the changes include at least one of the following: a pause in the voice input, a change in speed of delivery of the voice input, or a change in tone or inflection of the voice input; determining whether the voice input in the stream of audio data is directed at the mobile computing device based, at least in part, on the identified changes; determining whether the voice input in the stream of audio data indicates a request to perform an operation based, at least in part, on the determination of whether the voice input is directed at the mobile computing device; and providing an output on the mobile computing device that is responsive to the voice input that is detected in the stream of audio data and that indicates the request to perform an operation. 14. The computer-implemented method of claim 1 , wherein detecting the current context, determining whether to switch to the second mode of operation, and activating the microphones and the speech analysis subsystem is performed without direction from a user. | 0.569138 |
1. A method, comprising: receiving data propagating in a network environment; verifying whether the data is associated with a first end user represented in a registered user list; verifying a ratification of a policy by the first end user that authorizes monitoring of e-mail traffic generated by the first end user; identifying selected words within the data based on a whitelist, wherein the whitelist includes a plurality of designated words to be tagged; and generating a resultant composite of the selected words that are tagged. | 1. A method, comprising: receiving data propagating in a network environment; verifying whether the data is associated with a first end user represented in a registered user list; verifying a ratification of a policy by the first end user that authorizes monitoring of e-mail traffic generated by the first end user; identifying selected words within the data based on a whitelist, wherein the whitelist includes a plurality of designated words to be tagged; and generating a resultant composite of the selected words that are tagged. 2. The method of claim 1 , further comprising: verifying whether the data is associated with a business email domain, wherein if the data is associated with the business email domain, one or more words in the data are tagged. | 0.6805 |
4. The method of claim 3 , wherein the color correction parameter comprises at least one of: Tone Reproduction Curves information showing characteristics of an original picture display device with respect to original pictures of the contents; Conversion information for conversion from a color space of the original pictures to a standard color space; Color Temperature information of an illuminant, used in a production space of the original pictures; Input Device Color Gamut information for the original picture display device; and Illuminance Of Surround information for a consumer reproduction device that reproduces the contents. | 4. The method of claim 3 , wherein the color correction parameter comprises at least one of: Tone Reproduction Curves information showing characteristics of an original picture display device with respect to original pictures of the contents; Conversion information for conversion from a color space of the original pictures to a standard color space; Color Temperature information of an illuminant, used in a production space of the original pictures; Input Device Color Gamut information for the original picture display device; and Illuminance Of Surround information for a consumer reproduction device that reproduces the contents. 7. The method of claim 4 , wherein the Color Temperature information comprises information on the type of the illuminant, a white point chromaticity value according to the type of the illuminant and a brightness value of the illuminant, or comprises Correlated Color Temperature information of the illuminant. | 0.575806 |
1. A method for generating data to provide situational awareness or decision-making assistance to a user in relation to a physical environment, the method comprising, with a computer system: processing input data comprising at least data associated with the physical environment; and when a need for situational awareness or decision-making assistance is detected based on the input data, generating response data, the response data derived from multimodal data from a plurality of electronic data streams comprising audio, visual and textual information, the data streams received from a plurality of data sources, wherein generating the response data comprises: determining a characteristic of the need for situational awareness or decision-making assistance; extracting semantic information from the audio, visual and textual information; correlating the extracted semantic information in accordance with the characteristic; selecting a subset of the audio, visual and textual information based on the correlation of the extracted semantic information with the characteristic; and outputting at least a portion of the selected subset as the response data. | 1. A method for generating data to provide situational awareness or decision-making assistance to a user in relation to a physical environment, the method comprising, with a computer system: processing input data comprising at least data associated with the physical environment; and when a need for situational awareness or decision-making assistance is detected based on the input data, generating response data, the response data derived from multimodal data from a plurality of electronic data streams comprising audio, visual and textual information, the data streams received from a plurality of data sources, wherein generating the response data comprises: determining a characteristic of the need for situational awareness or decision-making assistance; extracting semantic information from the audio, visual and textual information; correlating the extracted semantic information in accordance with the characteristic; selecting a subset of the audio, visual and textual information based on the correlation of the extracted semantic information with the characteristic; and outputting at least a portion of the selected subset as the response data. 12. The method of claim 1 , comprising creating the subset of the audio, visual and textual information at least partly by performing a gating technique. | 0.591248 |
20. A method as recited in claim 2 , wherein said method further comprises converting the at least one native pronunciation of the proper noun into a format of a grammar used by the speech recognizer. | 20. A method as recited in claim 2 , wherein said method further comprises converting the at least one native pronunciation of the proper noun into a format of a grammar used by the speech recognizer. 21. A method as recited in claim 20 , wherein the speech recognizer is able to recognize words in a first language, while the native pronunciation of the proper noun is for a second language different than the first language. | 0.781513 |
16. The electronic device as claimed in claim, wherein, in the first mode, the input rule table comprises an English input rule table, and the text input interface has an English default interface when the text input interface operates as an English interface, wherein the first display region is arranged to display a space key and a case switching key in the English default interface, and the first set of characters and the second set of characters comprise a plurality of English letters in the English default interface. | 16. The electronic device as claimed in claim, wherein, in the first mode, the input rule table comprises an English input rule table, and the text input interface has an English default interface when the text input interface operates as an English interface, wherein the first display region is arranged to display a space key and a case switching key in the English default interface, and the first set of characters and the second set of characters comprise a plurality of English letters in the English default interface. 17. The electronic device as claimed in claim 16 , wherein the first display region has at least three of the display blocks, and by default the processor enables the display blocks of the first display region to be transparent except for the display blocks arranged to display the space key and the case switching key, thereby changing the ratio of the interface area and the predetermined display area of the display region. | 0.860742 |
1. A method comprising: receiving a plurality of data items imported into a social-networking system by a first user of the social-networking system, the plurality of data items being related to an entity; accessing, by one or more processors associated with one or more computer servers associated with the social-networking system, one or more data stores storing a social graph of the social-networking system, the social graph comprising a plurality of nodes and a plurality of edges between nodes, the nodes comprising user nodes corresponding to users of the social-networking system and concept nodes corresponding to concepts; identifying, by the one or more processors, one or more nodes of the social graph that likely match the entity, each of the one or more nodes having at least one matching attribute that matches one of the plurality of data items; and updating, by the one or more processors, an unmatched attribute, different from the at least one matching attribute, of at least one of the identified nodes with at least one of the data items. | 1. A method comprising: receiving a plurality of data items imported into a social-networking system by a first user of the social-networking system, the plurality of data items being related to an entity; accessing, by one or more processors associated with one or more computer servers associated with the social-networking system, one or more data stores storing a social graph of the social-networking system, the social graph comprising a plurality of nodes and a plurality of edges between nodes, the nodes comprising user nodes corresponding to users of the social-networking system and concept nodes corresponding to concepts; identifying, by the one or more processors, one or more nodes of the social graph that likely match the entity, each of the one or more nodes having at least one matching attribute that matches one of the plurality of data items; and updating, by the one or more processors, an unmatched attribute, different from the at least one matching attribute, of at least one of the identified nodes with at least one of the data items. 5. The method of claim 1 , wherein the identified nodes are within a specified degree of separation from a user node corresponding to the first user in the social graph. | 0.761236 |
1. A computer-implemented method comprising steps of: receiving one or more answer submissions at an online answer submission system that accepts, from multiple users, answers to questions submitted to the online answer submission system by users other than those that submitted the one or more answer submissions; processing a set of previously scored training submissions, thereby training a machine learning mechanism to score, automatically, a plurality of submissions that are submitted by users of a system; scoring a particular submission of said plurality of submissions automatically using the machine learning mechanism, thereby producing a score; and performing, relative to the particular submission, an action that is determined based on said score; wherein said previously scored training submissions are also answers to questions submitted to the online answer submission system; wherein said steps are performed by one or more computing devices. | 1. A computer-implemented method comprising steps of: receiving one or more answer submissions at an online answer submission system that accepts, from multiple users, answers to questions submitted to the online answer submission system by users other than those that submitted the one or more answer submissions; processing a set of previously scored training submissions, thereby training a machine learning mechanism to score, automatically, a plurality of submissions that are submitted by users of a system; scoring a particular submission of said plurality of submissions automatically using the machine learning mechanism, thereby producing a score; and performing, relative to the particular submission, an action that is determined based on said score; wherein said previously scored training submissions are also answers to questions submitted to the online answer submission system; wherein said steps are performed by one or more computing devices. 4. The method of claim 1 , wherein processing the set of previously scored training submissions comprises automatically identifying, in the previously scored training submissions, grammatical errors that are correlated with the scores that one or more of the previously scored training submissions received. | 0.702513 |
12. A handwriting input method comprising steps of: detecting an input action of an user who is performing the suspending handwriting input with a handwriting input apparatus, the suspending handwriting input being configured to perform line inputting and erasing of the existing lines, the line inputting including inputting of characters and graphics; converting the input action to input information; and transmitting the input information via communication to a display device for receiving and displaying the input information; wherein the input action is considered as an inactive motion in a case where an action switching circuit in the handwriting input apparatus has a higher priority and is switched to an inactive motion. | 12. A handwriting input method comprising steps of: detecting an input action of an user who is performing the suspending handwriting input with a handwriting input apparatus, the suspending handwriting input being configured to perform line inputting and erasing of the existing lines, the line inputting including inputting of characters and graphics; converting the input action to input information; and transmitting the input information via communication to a display device for receiving and displaying the input information; wherein the input action is considered as an inactive motion in a case where an action switching circuit in the handwriting input apparatus has a higher priority and is switched to an inactive motion. 18. The method according to claim 12 , further comprising one of or any combination of: switching a motion state and/or an operation type of the handwriting input apparatus; switching an input state of the handwriting input apparatus when the handwriting input apparatus is in an active motion state; resetting the cursor on the display screen of the display device; and feeding a force back to the user when feedback information from the display device is received. | 0.662935 |
11. The apparatus of claim 10 wherein the electronic document is an electronic book. | 11. The apparatus of claim 10 wherein the electronic document is an electronic book. 12. The apparatus of claim 11 wherein said electronic book further comprises a searchable index and a table of contents, each including hyperlinks to referenced sections of the electronic book. | 0.951292 |
11. The non-transitory computer readable medium having program instructions as recited in claim 10 , wherein the program instructions for calculating the probability p(w|Q) further includes, program instructions for calculating the probability p(q|w) based on the translation probability t(q|w), program instructions for calculating a probability of the internet query Q given the word w(p(Q|w)) as a product for all q of all the probabilities p(q|w), program instructions for calculating a probability of the word w(p(w)) as the sum for all s in S of probabilities of w given the ad materials s(p(w|s)) times a probability of the ad materials s(p(s)), and program instructions for calculating the probability p(w|Q) as proportional to the probability p(w) times the probability p(Q|w). | 11. The non-transitory computer readable medium having program instructions as recited in claim 10 , wherein the program instructions for calculating the probability p(w|Q) further includes, program instructions for calculating the probability p(q|w) based on the translation probability t(q|w), program instructions for calculating a probability of the internet query Q given the word w(p(Q|w)) as a product for all q of all the probabilities p(q|w), program instructions for calculating a probability of the word w(p(w)) as the sum for all s in S of probabilities of w given the ad materials s(p(w|s)) times a probability of the ad materials s(p(s)), and program instructions for calculating the probability p(w|Q) as proportional to the probability p(w) times the probability p(Q|w). 13. The non-transitory computer readable medium having program instructions as recited in claim 11 , wherein the program instructions for selecting sampling words further includes program instructions for calculating a probability of query term q given ad materials s(p(q|s)) as equal to the number of times q occurs in the ad materials s divided by a number of words in the ad materials s, wherein the program instructions for calculating the probability p(q|w) further includes program instructions for making p(q|w) equal to the sum for all s of the probability t(q|w) times the probability p(q|s) times the probability p(w|s) times the probability p(s) divided by the probability p(w). | 0.60707 |
22. 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; 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, and wherein if the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node, then the semantic command is not applied to the master node; and a memory coupled with the processor, wherein the memory provides the processor with instructions. | 22. 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; 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, and wherein if the semantic command includes any IP address assignment changes that would result in an IP address assignment conflict with IP address assignment data stored in the master version of the database on the master node, then the semantic command is not applied to the master node; and a memory coupled with the processor, wherein the memory provides the processor with instructions. 29. A system as recited in claim 22 , wherein the semantic command is determined to result in a conflict with the master version of the database, and wherein the processor is further configured to: send conflict status information to the first node, wherein the first node manages the conflict including backing out any of the IP address assignment changes associated with the semantic command. | 0.564125 |
4. A computer-implemented method, comprising: receiving a portion of a search query from a user device; obtaining a listing of a plurality of suggested queries that correspond to the portion of the search query, wherein a first suggested query is associated with a first category and a second suggested query is associated with a second category; providing, with the listing of the plurality of suggested queries, a first icon associated with the first category for the first suggested query and a second icon associated with the second category for the second suggested query; presenting, on a display screen of the user device, the listing of the plurality of suggested queries, including the first suggested query and the first icon and the second suggested query and the second icon; receiving the first suggested query from the user device and data describing the first category of the first query; identifying one or more resources responsive to the first suggested query and that have previously been associated with the first category of the first suggested query; and providing a listing of search results that reference the one or more identified resources, each resource being associated with the first suggested query and the first category of the first suggested query. | 4. A computer-implemented method, comprising: receiving a portion of a search query from a user device; obtaining a listing of a plurality of suggested queries that correspond to the portion of the search query, wherein a first suggested query is associated with a first category and a second suggested query is associated with a second category; providing, with the listing of the plurality of suggested queries, a first icon associated with the first category for the first suggested query and a second icon associated with the second category for the second suggested query; presenting, on a display screen of the user device, the listing of the plurality of suggested queries, including the first suggested query and the first icon and the second suggested query and the second icon; receiving the first suggested query from the user device and data describing the first category of the first query; identifying one or more resources responsive to the first suggested query and that have previously been associated with the first category of the first suggested query; and providing a listing of search results that reference the one or more identified resources, each resource being associated with the first suggested query and the first category of the first suggested query. 7. The computer-implemented method of claim 4 , wherein identifying one or more resources responsive to the first suggested query and that have previously been associated with the first category of the first suggested query further comprises: identifying, based on the first category, at least one category-specific corpus of resources; and identifying, from the at least one category-specific corpus of resources, one or more resources responsive to the first suggested query. | 0.5 |
20. A non-transitory computer readable storage medium storing one or more programs, for composing a web page, for execution by one or more processors on a server, the one or more programs comprising: instructions, which, when executed, transmit an authoring web page including an embedded authoring tool to a client computer of a publisher of the web page using a network, the authoring tool for composing the web page; and instructions, which, when executed, receive from the client computer web-page content corresponding to the composed web page, wherein the composed web page includes one or more advertisement regions that are placeholders designated for displaying one or more advertisements having one or more links to one or more content locations; and wherein the composed web page is configured for display at run-time at respective clients devices that download the composed web page from a web page server. | 20. A non-transitory computer readable storage medium storing one or more programs, for composing a web page, for execution by one or more processors on a server, the one or more programs comprising: instructions, which, when executed, transmit an authoring web page including an embedded authoring tool to a client computer of a publisher of the web page using a network, the authoring tool for composing the web page; and instructions, which, when executed, receive from the client computer web-page content corresponding to the composed web page, wherein the composed web page includes one or more advertisement regions that are placeholders designated for displaying one or more advertisements having one or more links to one or more content locations; and wherein the composed web page is configured for display at run-time at respective clients devices that download the composed web page from a web page server. 21. The non-transitory computer readable storage medium of claim 20 , wherein the authoring tool includes instructions, which, when executed, place one or more instances of predefined structured fields in the composed web page, and place field content within the one or more instances of the predefined structured fields. | 0.537621 |
3. The non-transitory computer readable storage media of claim 2 , wherein determining the cost of execution of the program with the conditional expression moved to the move destination comprises: determining a first provisional cost corresponding to the conditional expression being positive; and determining a second provisional cost corresponding to the conditional expression being negative, wherein the cost is a sum of the first provisional cost and the second provisional cost. | 3. The non-transitory computer readable storage media of claim 2 , wherein determining the cost of execution of the program with the conditional expression moved to the move destination comprises: determining a first provisional cost corresponding to the conditional expression being positive; and determining a second provisional cost corresponding to the conditional expression being negative, wherein the cost is a sum of the first provisional cost and the second provisional cost. 5. The non-transitory computer readable storage media of claim 3 , wherein the first provisional cost is computed for the conditional expression as a product of a number of expressions being true in response to the conditional expression being positive, and a probability of the conditional expression being true; and the second provisional cost is computed for the conditional expression as a product of a number of expressions being true in response to the conditional expression being negative, and a probability of the conditional expression being false. | 0.795947 |
1. A method of rasterising a document using a plurality of threads, the method comprising: interpreting objects of the document by performing interpreting tasks; establishing a plurality of rasterising tasks associated with the performed interpreting tasks, each performed interpreting task establishing a plurality of rasterising tasks; estimating an amount of parallelisable work available to be performed using the plurality of threads, the amount of parallelisable work being estimated using the established plurality of rasterising tasks and an expected number of interpreting tasks to be performed, wherein the parallelizable work comprises one or more of the rasterizing tasks from the established plurality of rasterizing tasks together with one or more of the interpreting tasks to be performed; selecting, based on the estimated amount of parallelisable work, one of: (i) an interpreting task to interpret objects of the document, and (ii) a rasterising task from the established plurality of rasterising tasks; and executing the selected task using at least one thread to rasterize the document. | 1. A method of rasterising a document using a plurality of threads, the method comprising: interpreting objects of the document by performing interpreting tasks; establishing a plurality of rasterising tasks associated with the performed interpreting tasks, each performed interpreting task establishing a plurality of rasterising tasks; estimating an amount of parallelisable work available to be performed using the plurality of threads, the amount of parallelisable work being estimated using the established plurality of rasterising tasks and an expected number of interpreting tasks to be performed, wherein the parallelizable work comprises one or more of the rasterizing tasks from the established plurality of rasterizing tasks together with one or more of the interpreting tasks to be performed; selecting, based on the estimated amount of parallelisable work, one of: (i) an interpreting task to interpret objects of the document, and (ii) a rasterising task from the established plurality of rasterising tasks; and executing the selected task using at least one thread to rasterize the document. 9. A method according to claim 1 , wherein estimating the amount of parallelisable work further comprises applying a weighting factor to the rasterising tasks and expected interpreting tasks to be performed, wherein different weighting factors are given to interpreting and rasterising tasks based on the estimated relative processing time of interpreting and rasterising tasks. | 0.5 |
1. A method for multimedia information retrieval comprising: querying a multimedia collection with a first component of a multimedia query to generate first comparison measures between the first query component and respective objects in the collection for a first media type; querying at least a part of the multimedia collection with a second component of the multimedia query to generate second comparison measures between the second query component and respective objects in the collection for a second media type; computing an aggregated score for each of a set of objects in the collection based on the first comparison measure and the second comparison measure for the object, the computing comprising applying an aggregating function to the first and second comparison measures in which a first confidence weighting is applied to the first comparison measure and a second confidence weighting is applied to the second comparison measure, the first confidence weighting is independent of the second comparison measure and the second confidence weighting is dependent on the first comparison measure; and outputting information based on the aggregated scores, wherein the aggregated score is computed using an aggregating function of general format:
s cw ( q,o )= A ( N ( s a ( q,o )ƒ), N ( s b ( q,o ) g )) (3) where S cw , is the aggregated score; A represents the aggregating function; a represents the first media type; b represents the second media type; s a (q,o) and s b (q,o) are similarity scores between the query q and the object o for the first and second media types respectively; r a (o,q) and r b (o,q) are rankings of the object o given by the respective similarity scores s a (q,o) and s b (q,o), with respect to other objects in the collection; ƒ is a function of at least one of r a (o,q) and s a (q,o) and optionally also of θ a ; g is a function of at least one of r a (o,q) and s a (q,o) and at least one of s b (q,o) and r b (o,q) and optionally also of θ b ; θ a is a set of one or more parameters; θ b is a set of one or more parameters; and N represents an optional normalizing operator, wherein at least one of: f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { 1 if r t ( o , q ) ≤ K 0 otherwise ; f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { log ( K - r t ( o , q ) + 1 ) log ( K ) if r t ( o , q ) < K 0 otherwise ; f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { x ( K + 1 ) ( K + r t ( o , q ) ) - y if r t ( o , q ) < K 0 otherwise ; and f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { s t ( o , q ) δ if r t ( o , q ) < K 0 otherwise is applied in the aggregating function, where K represents a number of retrieved objects, and x, y and δ are each a parameter whose value is preselected. | 1. A method for multimedia information retrieval comprising: querying a multimedia collection with a first component of a multimedia query to generate first comparison measures between the first query component and respective objects in the collection for a first media type; querying at least a part of the multimedia collection with a second component of the multimedia query to generate second comparison measures between the second query component and respective objects in the collection for a second media type; computing an aggregated score for each of a set of objects in the collection based on the first comparison measure and the second comparison measure for the object, the computing comprising applying an aggregating function to the first and second comparison measures in which a first confidence weighting is applied to the first comparison measure and a second confidence weighting is applied to the second comparison measure, the first confidence weighting is independent of the second comparison measure and the second confidence weighting is dependent on the first comparison measure; and outputting information based on the aggregated scores, wherein the aggregated score is computed using an aggregating function of general format:
s cw ( q,o )= A ( N ( s a ( q,o )ƒ), N ( s b ( q,o ) g )) (3) where S cw , is the aggregated score; A represents the aggregating function; a represents the first media type; b represents the second media type; s a (q,o) and s b (q,o) are similarity scores between the query q and the object o for the first and second media types respectively; r a (o,q) and r b (o,q) are rankings of the object o given by the respective similarity scores s a (q,o) and s b (q,o), with respect to other objects in the collection; ƒ is a function of at least one of r a (o,q) and s a (q,o) and optionally also of θ a ; g is a function of at least one of r a (o,q) and s a (q,o) and at least one of s b (q,o) and r b (o,q) and optionally also of θ b ; θ a is a set of one or more parameters; θ b is a set of one or more parameters; and N represents an optional normalizing operator, wherein at least one of: f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { 1 if r t ( o , q ) ≤ K 0 otherwise ; f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { log ( K - r t ( o , q ) + 1 ) log ( K ) if r t ( o , q ) < K 0 otherwise ; f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { x ( K + 1 ) ( K + r t ( o , q ) ) - y if r t ( o , q ) < K 0 otherwise ; and f ( r t ( o , q ) ) = g ( r t ( o , q ) ) = { s t ( o , q ) δ if r t ( o , q ) < K 0 otherwise is applied in the aggregating function, where K represents a number of retrieved objects, and x, y and δ are each a parameter whose value is preselected. 9. The method of claim 1 , wherein x is at least 1, y is at least 0, and δ is greater than 0. | 0.530089 |
12. A server, comprising: a memory configured to store a phrase table for statistical machine translation, the phrase table including a plurality of phrase pairs corresponding to one or more pairs of languages; and one or more processors configured to: determine a redundant set of the plurality of phrase pairs, the redundant set of the plurality of phrase pairs including each of the plurality of phrase pairs having a phrase matching a phrase of another of the plurality of phrase pairs, wherein each phrase of the plurality of phrase pairs includes two or more sub-phrases, calculate a first probability for each specific phrase pair of the redundant set of the plurality of phrase pairs, the first probability indicating a likelihood that its corresponding specific phrase pair is an appropriate translation, calculate a second probability for each specific phrase pair based on third probabilities of the sub-phrases of the specific phrase pair, the second and third probabilities each indicating a likelihood that a corresponding specific phrase pair or sub-phrase is an appropriate translation, compare the first and second probabilities for each specific phrase pair to a probability threshold indicative of an acceptable change in probability distribution of the phrase table, select each specific phrase pair when its corresponding second probability is within the probability threshold from its corresponding first probability to obtain one or more selected phrase pairs, and remove the one or more selected phrase pairs from the phrase table to obtain a modified phrase table. | 12. A server, comprising: a memory configured to store a phrase table for statistical machine translation, the phrase table including a plurality of phrase pairs corresponding to one or more pairs of languages; and one or more processors configured to: determine a redundant set of the plurality of phrase pairs, the redundant set of the plurality of phrase pairs including each of the plurality of phrase pairs having a phrase matching a phrase of another of the plurality of phrase pairs, wherein each phrase of the plurality of phrase pairs includes two or more sub-phrases, calculate a first probability for each specific phrase pair of the redundant set of the plurality of phrase pairs, the first probability indicating a likelihood that its corresponding specific phrase pair is an appropriate translation, calculate a second probability for each specific phrase pair based on third probabilities of the sub-phrases of the specific phrase pair, the second and third probabilities each indicating a likelihood that a corresponding specific phrase pair or sub-phrase is an appropriate translation, compare the first and second probabilities for each specific phrase pair to a probability threshold indicative of an acceptable change in probability distribution of the phrase table, select each specific phrase pair when its corresponding second probability is within the probability threshold from its corresponding first probability to obtain one or more selected phrase pairs, and remove the one or more selected phrase pairs from the phrase table to obtain a modified phrase table. 15. The server of claim 12 , wherein the one or more processors are configured to calculate the second probability for each specific phrase pair based on the third probabilities of the sub-phrases of the specific phrase pair by calculating a product of the third probabilities to obtain the second probability. | 0.584995 |
1. A computer system to identify malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs, the system comprising: one or more computer readable storage devices configured to store one or more software modules including computer executable instructions; and the plurality of unscreened data items associated with communications between computerized devices within a local network and external resources, the unscreened data items comprising a plurality of device identifiers for the computerized devices and a plurality of URLs referencing the external resources; a network connection configured to access, from a remote network not within the local network, a list of domain names satisfying a ranking condition based on Internet traffic data; and one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the one or more software modules in order to cause the computer system to: access, from the one or more computer readable storage devices, the plurality of unscreened data items; identify, from the plurality of unscreened data items, a plurality of connection records, each of the connection records indicating a communication from a computerized device to an external resource at a specific time, such that each of the connection records is associated with a device identifier and a URL, identify, from the plurality of connection records, one or more connection records having a common device identifier, the identified one or more connection records associated with one or more URLs; parse the one or more URLs for one or more domain names, each of the one or more URLs associated with a domain name; based on a determination that none of the one or more domain names satisfies a threshold position in the list of domain names, designate the one or more URLs as possible malicious URL data items; assign a score based on a plurality of factors relating to the possible malicious URL data items, the factors comprising the determination that none of the one or more domain names satisfies the threshold position in the list of domain names. | 1. A computer system to identify malicious Uniform Resource Locator (URL) data items from a plurality of unscreened data items that have not been previously identified as associated with malicious URLs, the system comprising: one or more computer readable storage devices configured to store one or more software modules including computer executable instructions; and the plurality of unscreened data items associated with communications between computerized devices within a local network and external resources, the unscreened data items comprising a plurality of device identifiers for the computerized devices and a plurality of URLs referencing the external resources; a network connection configured to access, from a remote network not within the local network, a list of domain names satisfying a ranking condition based on Internet traffic data; and one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the one or more software modules in order to cause the computer system to: access, from the one or more computer readable storage devices, the plurality of unscreened data items; identify, from the plurality of unscreened data items, a plurality of connection records, each of the connection records indicating a communication from a computerized device to an external resource at a specific time, such that each of the connection records is associated with a device identifier and a URL, identify, from the plurality of connection records, one or more connection records having a common device identifier, the identified one or more connection records associated with one or more URLs; parse the one or more URLs for one or more domain names, each of the one or more URLs associated with a domain name; based on a determination that none of the one or more domain names satisfies a threshold position in the list of domain names, designate the one or more URLs as possible malicious URL data items; assign a score based on a plurality of factors relating to the possible malicious URL data items, the factors comprising the determination that none of the one or more domain names satisfies the threshold position in the list of domain names. 6. The system of claim 1 , the one or more computer readable storage devices configured to store a distribution of n-grams for filepaths associated with a domain name having a rank indicating that the domain name is associated with a amount of Internet traffic, and store a second distribution of n-grams for filepaths associated with the domain name; and the one or more hardware computer processors further configured to execute the one or more software modules in order to cause the computer system to compare the expected distribution of n-grams to the actual distribution of n-grams, the factors comprising a variance between the distributions. | 0.822598 |
25. The system of claim 24 , wherein the first compound and the second compound are stored in an expansion/contraction table generated from at least one of a user input log and a user input database, and wherein the expansion/contraction table includes frequency values representing occurrences of sequences of words. | 25. The system of claim 24 , wherein the first compound and the second compound are stored in an expansion/contraction table generated from at least one of a user input log and a user input database, and wherein the expansion/contraction table includes frequency values representing occurrences of sequences of words. 26. The system of claim 25 , wherein the expansion/contraction table is generated by determining frequent word sequences, filtering out non-phrasal word sequences, and associating counts with sequences of terms as the frequency values. | 0.924213 |
21. The method of claim 19 , further including: generating a layered set of sorted anchor maps, wherein each sorted map in the layered set of anchor maps is associated with a production time. | 21. The method of claim 19 , further including: generating a layered set of sorted anchor maps, wherein each sorted map in the layered set of anchor maps is associated with a production time. 22. The method of claim 21 , further including: generating a merged anchor map including a plurality of merged anchor map records, each merged anchor record corresponding to at least one anchor record from the set of sorted anchor maps, wherein the merged anchor records are ordered in the merged anchor map based on their respective target document identifiers. | 0.926942 |
11. A system comprising: a processor; a memory storing instructions that, when executed by the processor, cause the system to: learn sets of equivalent syntactic patterns from a corpus of documents; map the sets of equivalent syntactic patterns to corresponding items in a knowledge graph; receive a set of one or more input documents; process the set of one or more input documents for one or more expressions matching a first set of equivalent syntactic patterns from among the sets of equivalent syntactic patterns; process the one or more expressions to determine one or more entities; determine a set of entities that are relevant to a main event described by the set of one or more input documents from the one or more entities; identify entity types for the set of entities; generate a refined set of equivalent syntactic patterns by excluding the equivalent syntactic patterns with a relevance score below a predefined threshold; select an equivalent syntactic pattern from among the refined set of equivalent syntactic patterns for a headline, the selected equivalent syntactic pattern reflecting the main event described by the set of one or more input documents; generate the headline by populating the selected equivalent syntactic pattern with the one or more entities, wherein an order of the entities in the headline is based on the entity types of the one or more entities; determine one or more entries in the knowledge graph corresponding to the one or more entities described by the one or more expressions; and update the one or more entries in the knowledge graph to reflect the main event using the headline. | 11. A system comprising: a processor; a memory storing instructions that, when executed by the processor, cause the system to: learn sets of equivalent syntactic patterns from a corpus of documents; map the sets of equivalent syntactic patterns to corresponding items in a knowledge graph; receive a set of one or more input documents; process the set of one or more input documents for one or more expressions matching a first set of equivalent syntactic patterns from among the sets of equivalent syntactic patterns; process the one or more expressions to determine one or more entities; determine a set of entities that are relevant to a main event described by the set of one or more input documents from the one or more entities; identify entity types for the set of entities; generate a refined set of equivalent syntactic patterns by excluding the equivalent syntactic patterns with a relevance score below a predefined threshold; select an equivalent syntactic pattern from among the refined set of equivalent syntactic patterns for a headline, the selected equivalent syntactic pattern reflecting the main event described by the set of one or more input documents; generate the headline by populating the selected equivalent syntactic pattern with the one or more entities, wherein an order of the entities in the headline is based on the entity types of the one or more entities; determine one or more entries in the knowledge graph corresponding to the one or more entities described by the one or more expressions; and update the one or more entries in the knowledge graph to reflect the main event using the headline. 15. The system of claim 11 , wherein to process the set of one or more input documents includes: determining that a number of expressions processed from the one or more input documents meets a pre-determined evidence threshold; and determining the set of equivalent syntactic patterns to be relevant to the set of one or more input documents based on the evidence threshold being met. | 0.530417 |
15. A computer program product for speech-enabled content navigation and control of a distributed multimodal browser, the distributed multimodal browser providing an execution environment for a multimodal application, the distributed multimodal browser including a graphical user agent and a voice user agent operatively coupled to the graphical user agent, the graphical user agent operating on a multimodal device supporting multiple modes of user interaction including a voice mode and one or more non-voice modes, the voice user agent operating on a voice server, the computer program product disposed upon at least one non-transitory computer-readable recordable medium, the computer program product comprising computer program instructions configured to perform a method comprising: transmitting, by the graphical user agent, a link message to the voice user agent, the link message containing voice commands that control the distributed multimodal browser including at least one grammar associated with the voice commands, the link message also containing an event corresponding to each voice command, wherein at least one of the voice commands is received by the graphical user agent from a voice markup corresponding to the multimodal application; receiving, by the graphical user agent, a voice utterance from a user, the voice utterance specifying a particular voice command; transmitting, by the graphical user agent, the voice utterance to the voice user agent for speech recognition by the voice user agent; receiving, by the graphical user agent, an event message from the voice user agent, the event message specifying a particular event corresponding to the particular voice command specified by the voice utterance; and controlling, by the graphical user agent, the distributed multimodal browser in dependence upon the particular event. | 15. A computer program product for speech-enabled content navigation and control of a distributed multimodal browser, the distributed multimodal browser providing an execution environment for a multimodal application, the distributed multimodal browser including a graphical user agent and a voice user agent operatively coupled to the graphical user agent, the graphical user agent operating on a multimodal device supporting multiple modes of user interaction including a voice mode and one or more non-voice modes, the voice user agent operating on a voice server, the computer program product disposed upon at least one non-transitory computer-readable recordable medium, the computer program product comprising computer program instructions configured to perform a method comprising: transmitting, by the graphical user agent, a link message to the voice user agent, the link message containing voice commands that control the distributed multimodal browser including at least one grammar associated with the voice commands, the link message also containing an event corresponding to each voice command, wherein at least one of the voice commands is received by the graphical user agent from a voice markup corresponding to the multimodal application; receiving, by the graphical user agent, a voice utterance from a user, the voice utterance specifying a particular voice command; transmitting, by the graphical user agent, the voice utterance to the voice user agent for speech recognition by the voice user agent; receiving, by the graphical user agent, an event message from the voice user agent, the event message specifying a particular event corresponding to the particular voice command specified by the voice utterance; and controlling, by the graphical user agent, the distributed multimodal browser in dependence upon the particular event. 20. The computer program product of claim 15 wherein the link message further comprises a VoiceXML link element. | 0.80179 |
21. A system, comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a search query initial input from a user; receiving a plurality of query auto-completions based on the search query initial input; receiving social graph data, the social graph data being specific to a social graph of the user; for each query auto-completion of the plurality of query auto-completions, determining a ranking score, the ranking score being determined at least partially based on the social graph data and degree of separation between the user and other members in the social graph; transmitting instructions to display the plurality of query auto-completions to the user in a rank order that is determined based on ranking scores, receiving a selection from the user of a particular query auto-completion from the plurality of query auto-completions; and providing the particular query auto-completion to a search system as a search query, the search system providing search results based on the search query. | 21. A system, comprising: one or more computers; and a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising: receiving a search query initial input from a user; receiving a plurality of query auto-completions based on the search query initial input; receiving social graph data, the social graph data being specific to a social graph of the user; for each query auto-completion of the plurality of query auto-completions, determining a ranking score, the ranking score being determined at least partially based on the social graph data and degree of separation between the user and other members in the social graph; transmitting instructions to display the plurality of query auto-completions to the user in a rank order that is determined based on ranking scores, receiving a selection from the user of a particular query auto-completion from the plurality of query auto-completions; and providing the particular query auto-completion to a search system as a search query, the search system providing search results based on the search query. 26. The system of claim 21 , wherein operations further comprise receiving a selection of a query auto-completion of the plurality of query auto-completions and, in response, retrieving one or more search results that are responsive to the query auto-completion. | 0.540283 |
1. A method for communication, comprising: detecting, by a computing device, a connection with a sensor configured to detect only a single gesture, wherein the computing device is configured to connect with a plurality of sensors of different types; determining, by the computing device, a type of the sensor; determining, by the computing device, a filter based on the type of the sensor, wherein the filter is generated based on analysis of signals associated with the type of sensor and configured the computing device to classify gestures as intentional or unintentional based on a first timing threshold and a frequency characteristic; receiving, by the computing device from the sensor, a signal representing a plurality of candidate inputs detected by the sensor; classifying, by the computing device, the plurality of candidate inputs as one or more intentional inputs based on the first timing threshold and the frequency characteristic; determining, by the computing device, timing information indicative of a time difference between receiving a first input signal of the one or more intentional inputs and receiving a second input signal of the one or more intentional inputs; determining, by the computing device, that the one or more intentional inputs are relevant to a single command based on the timing information; counting, by the computing device, a number of the one or more intentional inputs relevant to the single command; selecting, by the computing device, a target device from a plurality of devices, based on the number of the one or more intentional inputs relevant to the single command, wherein each of the plurality of devices is associated with a respective number and a number of the target device matches the number of the one or more intentional outputs relevant to the single command; and providing a signal to the selected target device in response to the intentional input. | 1. A method for communication, comprising: detecting, by a computing device, a connection with a sensor configured to detect only a single gesture, wherein the computing device is configured to connect with a plurality of sensors of different types; determining, by the computing device, a type of the sensor; determining, by the computing device, a filter based on the type of the sensor, wherein the filter is generated based on analysis of signals associated with the type of sensor and configured the computing device to classify gestures as intentional or unintentional based on a first timing threshold and a frequency characteristic; receiving, by the computing device from the sensor, a signal representing a plurality of candidate inputs detected by the sensor; classifying, by the computing device, the plurality of candidate inputs as one or more intentional inputs based on the first timing threshold and the frequency characteristic; determining, by the computing device, timing information indicative of a time difference between receiving a first input signal of the one or more intentional inputs and receiving a second input signal of the one or more intentional inputs; determining, by the computing device, that the one or more intentional inputs are relevant to a single command based on the timing information; counting, by the computing device, a number of the one or more intentional inputs relevant to the single command; selecting, by the computing device, a target device from a plurality of devices, based on the number of the one or more intentional inputs relevant to the single command, wherein each of the plurality of devices is associated with a respective number and a number of the target device matches the number of the one or more intentional outputs relevant to the single command; and providing a signal to the selected target device in response to the intentional input. 12. The method of claim 1 , wherein the sensor comprises a single switch configured to provide signals based on a single gesture from a user. | 0.594142 |
12. A system for analyzing a client's insurance coverage, the insurance coverage represented in a plurality of insurance policies related to a primary insured, the system comprising: an input device for gathering the plurality of insurance policies; an extraction device for extracting key insurance coverage data from each of the gathered insurance policies; a first computing device for compiling detailed policy coverage documents from the compiled insurance coverage data; a second computing device for summarizing the compiled insurance coverage data and generating a summary document from the summarized data; and a third computing device for generating a summary graphic from the summarized data, wherein the summary graphic comprises a silhouette of a country in which the primary insured resides; a first zone within the country silhouette, the first zone including a list of national liabilities internal to the primary insured as determined from the compiled data; a second zone external to the first zone but within the country silhouette, the second zone including national liabilities external to the primary insured as determined from the compiled data; and a third zone outside the borders of the country silhouette, the third zone including international liabilities of the primary insured as determined from the compiled data. | 12. A system for analyzing a client's insurance coverage, the insurance coverage represented in a plurality of insurance policies related to a primary insured, the system comprising: an input device for gathering the plurality of insurance policies; an extraction device for extracting key insurance coverage data from each of the gathered insurance policies; a first computing device for compiling detailed policy coverage documents from the compiled insurance coverage data; a second computing device for summarizing the compiled insurance coverage data and generating a summary document from the summarized data; and a third computing device for generating a summary graphic from the summarized data, wherein the summary graphic comprises a silhouette of a country in which the primary insured resides; a first zone within the country silhouette, the first zone including a list of national liabilities internal to the primary insured as determined from the compiled data; a second zone external to the first zone but within the country silhouette, the second zone including national liabilities external to the primary insured as determined from the compiled data; and a third zone outside the borders of the country silhouette, the third zone including international liabilities of the primary insured as determined from the compiled data. 16. The system of claim 12 wherein the first, second, and third computing devices are a single computer. | 0.581846 |
7. The method of claim 1 , wherein said correlating further includes, displaying said selected word on the display to visually correlate each character of said selected word with one of said unique numerical values. | 7. The method of claim 1 , wherein said correlating further includes, displaying said selected word on the display to visually correlate each character of said selected word with one of said unique numerical values. 8. The method of claim 7 , wherein said displaying said selected word includes, drawing a box around said selected word on the display; and displaying each unique numerical value adjacent to each corresponding character of said selected word. | 0.866518 |
23. The method of claim 22 , wherein said input comprises a request for obtaining information relating to a particular topic, and said stored information comprises advertising information relating to said at least one context associated with said topic. | 23. The method of claim 22 , wherein said input comprises a request for obtaining information relating to a particular topic, and said stored information comprises advertising information relating to said at least one context associated with said topic. 25. The method of claim 23 , wherein said information relating to a particular topic comprises one or more electronic maps of a local area, and said advertising information comprises advertisements associated with local businesses associated with said local area. | 0.807875 |
1. A method for recognizing speech in an audio stream comprising a sequence of audio frames, the method comprising the steps of: continuously recording said audio stream to a buffer; receiving a command to recognize speech in a first portion of said audio stream, where said first portion of said audio stream occurs between a user-designated start point and a user-designated end point, and where said command is distinct from said audio stream; augmenting said first portion of said audio stream with one or more audio frames of said audio stream that do not occur between said user-designated start point and said user-designated end point to form an augmented audio signal; and outputting a recognized speech in accordance with said augmented audio signal. | 1. A method for recognizing speech in an audio stream comprising a sequence of audio frames, the method comprising the steps of: continuously recording said audio stream to a buffer; receiving a command to recognize speech in a first portion of said audio stream, where said first portion of said audio stream occurs between a user-designated start point and a user-designated end point, and where said command is distinct from said audio stream; augmenting said first portion of said audio stream with one or more audio frames of said audio stream that do not occur between said user-designated start point and said user-designated end point to form an augmented audio signal; and outputting a recognized speech in accordance with said augmented audio signal. 2. The method of claim 1 , wherein said augmenting step comprises: detecting a speech starting point in said audio stream at which a speech signal including said first portion of said audio stream actually starts; and augmenting said speech signal with one or more audio frames immediately preceding said user-designated start point to form said augmented audio signal. | 0.542281 |
24. A system for use in communicating speech signals received from a transmitting party, the system comprising: a receiver adapted to receive a narrowband signal corresponding to a narrowband version of speech utterances of the transmitting party and to receive speaker-dependent data correlating narrowband versions of the speech utterances of the transmitting party with corresponding wideband versions of the speech utterances of the transmitting party; an analyzer adapted to identify selected portions of the speaker-dependent data that best correspond to the received narrowband signal; and a wideband signal generator adapted to generate a wideband speech signal using the selected portions of the speaker-dependent data identified by the analyzer. | 24. A system for use in communicating speech signals received from a transmitting party, the system comprising: a receiver adapted to receive a narrowband signal corresponding to a narrowband version of speech utterances of the transmitting party and to receive speaker-dependent data correlating narrowband versions of the speech utterances of the transmitting party with corresponding wideband versions of the speech utterances of the transmitting party; an analyzer adapted to identify selected portions of the speaker-dependent data that best correspond to the received narrowband signal; and a wideband signal generator adapted to generate a wideband speech signal using the selected portions of the speaker-dependent data identified by the analyzer. 29. The system of claim 24 , where the receiver is adapted to save the speaker-dependent data and the narrowband signal over separate transmission channels. | 0.875396 |
1. A method for detecting hidden information embedded in a document comprising characters, wherein, a document for detection is formed by embedding hidden information in an original document by performing layout transformation on characters in the original document according to a predetermined embedding rule, and the method comprises: determining layout transformation for each character in the document for detection compared with the original document; obtaining a code sequence embedded in the document for detection based on the layout transformation of each character in the document for detection and the predetermined embedding rule; decoding the code sequence to get the hidden information embedded in the document for detection; wherein, the predetermined embedding rule comprises: acquiring a code sequence for each class of layout transformation by coding the hidden information to be embedded in the class of layout transformation; wherein, each class of layout transformation is considered as a channel to embed the hidden information; selecting the characters to be subjected to the layout transformation for each class of the layout transformation from the document respectively, length of the characters to be subjected to the layout transformation being larger than or equal to length of the code sequence corresponding to each class of the layout transformation; performing the layout transformation on the selected characters according to the acquired code sequence for each class of the layout transformation in a cyclic application, each value in the code sequence for each class of the layout transformation corresponding to a transformation number of each class of the layout transformation. | 1. A method for detecting hidden information embedded in a document comprising characters, wherein, a document for detection is formed by embedding hidden information in an original document by performing layout transformation on characters in the original document according to a predetermined embedding rule, and the method comprises: determining layout transformation for each character in the document for detection compared with the original document; obtaining a code sequence embedded in the document for detection based on the layout transformation of each character in the document for detection and the predetermined embedding rule; decoding the code sequence to get the hidden information embedded in the document for detection; wherein, the predetermined embedding rule comprises: acquiring a code sequence for each class of layout transformation by coding the hidden information to be embedded in the class of layout transformation; wherein, each class of layout transformation is considered as a channel to embed the hidden information; selecting the characters to be subjected to the layout transformation for each class of the layout transformation from the document respectively, length of the characters to be subjected to the layout transformation being larger than or equal to length of the code sequence corresponding to each class of the layout transformation; performing the layout transformation on the selected characters according to the acquired code sequence for each class of the layout transformation in a cyclic application, each value in the code sequence for each class of the layout transformation corresponding to a transformation number of each class of the layout transformation. 5. The method according to claim 1 , wherein decoding the code sequence to get the hidden information embedded in the document for detection comprises: enumerating all possible code combinations for the missing bits to form a possible code sequence set; and decoding code sequences in the possible code sequence set to obtain a possible hidden information set, when there are missing bits in code sequence and the number of missing bits exceeds the error correction capacity. | 0.5 |
34. A computer readable storage medium having instructions stored thereon which, when executed by a computer, cause the computer to perform operations comprising: scanning a coversheet having an overview of a collection; receiving an image of the overview of the collection that comprises a first plurality of indication areas associated with a plurality of documents and a second plurality of indication areas associated with a plurality of actions, wherein the plurality of actions includes printing, faxing, sending by electronic mail, and grouping; identifying at least one action from the plurality of actions set forth in the image; identifying at least one document from the plurality of document for the at least one action identified from the plurality of actions, wherein the identifying the at least one action is performed based on the second plurality of the indication areas in the image and the identifying the at least one document is performed based on the first plurality of the indication areas in the image, wherein the at least one action and the at least one document are identified by scanning the image; and performing the at least one action on the at least one document in response to the identifying the at least one action from the fourth plurality of actions set forth in the image and the identifying the at least one document from the third plurality of document from the image. | 34. A computer readable storage medium having instructions stored thereon which, when executed by a computer, cause the computer to perform operations comprising: scanning a coversheet having an overview of a collection; receiving an image of the overview of the collection that comprises a first plurality of indication areas associated with a plurality of documents and a second plurality of indication areas associated with a plurality of actions, wherein the plurality of actions includes printing, faxing, sending by electronic mail, and grouping; identifying at least one action from the plurality of actions set forth in the image; identifying at least one document from the plurality of document for the at least one action identified from the plurality of actions, wherein the identifying the at least one action is performed based on the second plurality of the indication areas in the image and the identifying the at least one document is performed based on the first plurality of the indication areas in the image, wherein the at least one action and the at least one document are identified by scanning the image; and performing the at least one action on the at least one document in response to the identifying the at least one action from the fourth plurality of actions set forth in the image and the identifying the at least one document from the third plurality of document from the image. 51. The computer readable storage medium of claim 34 , wherein the at least one action comprises transmitting the at least one document to a destination, the method further comprising determining a destination. | 0.585393 |
10. A system for providing recognition of gestures made by a user using a gesture filter representing a gesture comprising: a processor; and a memory communicatively coupled to the processor when the system is operational, the memory bearing processor-executable instructions that, when executed by the processor, cause the system at least to: receive information indicative of a user motion or pose, the information being captured by a camera; determine from the information that the information is further indicative of a change in the user's fatigue, a change in the user's competence, or a second user replacing the user, and in response, modifying a parameter of the gesture filter; determine an output of the modified gesture filter based on the information; and send the output to an application. | 10. A system for providing recognition of gestures made by a user using a gesture filter representing a gesture comprising: a processor; and a memory communicatively coupled to the processor when the system is operational, the memory bearing processor-executable instructions that, when executed by the processor, cause the system at least to: receive information indicative of a user motion or pose, the information being captured by a camera; determine from the information that the information is further indicative of a change in the user's fatigue, a change in the user's competence, or a second user replacing the user, and in response, modifying a parameter of the gesture filter; determine an output of the modified gesture filter based on the information; and send the output to an application. 15. The system of claim 10 , wherein the gesture comprises: a crouch, a jump, a lean, an arm throw, a toss, a swing, a dodge, a kick, or a block. | 0.81071 |
1. A method comprising: receiving a gesture from a user during a presentation of media content, wherein the gesture comprises a metadata request associated with the media content; selecting a piece of metadata for output, to yield selected metadata, the selected metadata being responsive to the metadata request regarding the primary media content; and outputting the selected metadata as synthetically generated speech, the synthetically generated speech having an accent selected from a plurality of accents based on the selected metadata. | 1. A method comprising: receiving a gesture from a user during a presentation of media content, wherein the gesture comprises a metadata request associated with the media content; selecting a piece of metadata for output, to yield selected metadata, the selected metadata being responsive to the metadata request regarding the primary media content; and outputting the selected metadata as synthetically generated speech, the synthetically generated speech having an accent selected from a plurality of accents based on the selected metadata. 3. The method of claim 1 , further comprising analyzing the media content to determine tone and prosody which indicate the accent. | 0.879151 |
21. The method of claim 1 , further comprising: bundling one or more of the search snapshot objects of the search snapshot history; and facilitating distribution of the bundled one or more search snapshot objects to a designated individual. | 21. The method of claim 1 , further comprising: bundling one or more of the search snapshot objects of the search snapshot history; and facilitating distribution of the bundled one or more search snapshot objects to a designated individual. 22. The method of claim 21 wherein the designated individual is one with expertise in a designated area associated with the search. | 0.958817 |
13. A system for controlling an electronic device, comprising: an electronic device; at least one movement sensor that detects a plurality of user movements associated with a user; at least one non-transitory storage medium that stores a database of movements associated with movements of one or more sign languages; and at least one processing unit; wherein the at least one processing unit executes instructions stored in the at least one non-transitory storage medium to derive a first sign language message corresponding to control of the electronic device from at least one user movement of the plurality of user movements, identify a conflict wherein a first control function and a second control function of the electronic device are each determined to be a candidate control function that is associated with the first sign language message, transmit, in response to identifying the conflict, a notification to the user via a display device associated with the electronic device, wherein the notification includes a request for the user to repeat the plurality of user movements due to the conflict, detect, after transmitting the notification to the user, a second plurality of user movements associated with the user utilizing the movement sensor, derive a second sign language message corresponding to control of the electronic device, wherein the second sign language message is derived from at least one user movement of the second plurality of user movements, identify a control function of the electronic device associated with the second sign language message; resolve the conflict to determine that one of the first control function and the second control function is associated with the first sign language message using the second plurality of user movements and the second sign language message, and implement one of the first control function and the second control function based on the determination. | 13. A system for controlling an electronic device, comprising: an electronic device; at least one movement sensor that detects a plurality of user movements associated with a user; at least one non-transitory storage medium that stores a database of movements associated with movements of one or more sign languages; and at least one processing unit; wherein the at least one processing unit executes instructions stored in the at least one non-transitory storage medium to derive a first sign language message corresponding to control of the electronic device from at least one user movement of the plurality of user movements, identify a conflict wherein a first control function and a second control function of the electronic device are each determined to be a candidate control function that is associated with the first sign language message, transmit, in response to identifying the conflict, a notification to the user via a display device associated with the electronic device, wherein the notification includes a request for the user to repeat the plurality of user movements due to the conflict, detect, after transmitting the notification to the user, a second plurality of user movements associated with the user utilizing the movement sensor, derive a second sign language message corresponding to control of the electronic device, wherein the second sign language message is derived from at least one user movement of the second plurality of user movements, identify a control function of the electronic device associated with the second sign language message; resolve the conflict to determine that one of the first control function and the second control function is associated with the first sign language message using the second plurality of user movements and the second sign language message, and implement one of the first control function and the second control function based on the determination. 16. The system of claim 13 , wherein the at least one processing unit: determines a particular sign language of a sign language message by comparing a first portion of a plurality of user movements to movements of a plurality of sign languages stored in the database to identify a first sign language message component; and compares at least a second portion of a plurality of user movements to a subset of the database to identify at least a second sign language message component wherein the subset comprises movements of the particular sign language. | 0.5 |
14. A computerized system comprising: one or more processors; and a non-transitory computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to: receive a search query from a user input via an interconnected computing network of the computing system; identify an ambiguous term in the search query by utilizing lists of categories from semi-structured data containing the ambiguous term; infer categories of the ambiguous term via extraction on the semi-structured data; for each of the categories inferred for the ambiguous term, compute an amount of network traffic, wherein computing includes calculating a number of webpage views representing each category and a dwell time for each of the webpage views; compute a total amount of network traffic to all of the webpages representing the categories inferred; determine a probability for each category of the ambiguous term based on the amount of network traffic computed for each of the categories and the total amount of network traffic computed for all categories inferred of the ambiguous entity; identify a most probable category of the ambiguous term, wherein the most probable category has a highest probability compared to remaining categories of the ambiguous term; and return search results representing the most probable category of the ambiguous term to a user via a graphical user interface of the computing system based on the probability calculated for each category of the ambiguous term from the amount of network traffic computed for each of the categories and the total amount of network traffic computed for all categories inferred of the ambiguous entity. | 14. A computerized system comprising: one or more processors; and a non-transitory computer storage media storing computer-useable instructions that, when used by the one or more processors, cause the one or more processors to: receive a search query from a user input via an interconnected computing network of the computing system; identify an ambiguous term in the search query by utilizing lists of categories from semi-structured data containing the ambiguous term; infer categories of the ambiguous term via extraction on the semi-structured data; for each of the categories inferred for the ambiguous term, compute an amount of network traffic, wherein computing includes calculating a number of webpage views representing each category and a dwell time for each of the webpage views; compute a total amount of network traffic to all of the webpages representing the categories inferred; determine a probability for each category of the ambiguous term based on the amount of network traffic computed for each of the categories and the total amount of network traffic computed for all categories inferred of the ambiguous entity; identify a most probable category of the ambiguous term, wherein the most probable category has a highest probability compared to remaining categories of the ambiguous term; and return search results representing the most probable category of the ambiguous term to a user via a graphical user interface of the computing system based on the probability calculated for each category of the ambiguous term from the amount of network traffic computed for each of the categories and the total amount of network traffic computed for all categories inferred of the ambiguous entity. 17. The system of claim 14 , wherein the search results returned are allotted a presentation area that is proportional to the probability of the category to which each of the search results belong. | 0.515931 |
8. The method as set forth in claim 1 further comprising, subsequent to the providing a user of an answer, continuing to provide additional crowd-source enhancements to the deep question-answer computing system, and responsive to a change in a confidence factor, to a potential answer, or to both a confidence factor and a potential answer, providing to the user via the user interface an updated possible answer reflecting the continued crowd-source enhancements. | 8. The method as set forth in claim 1 further comprising, subsequent to the providing a user of an answer, continuing to provide additional crowd-source enhancements to the deep question-answer computing system, and responsive to a change in a confidence factor, to a potential answer, or to both a confidence factor and a potential answer, providing to the user via the user interface an updated possible answer reflecting the continued crowd-source enhancements. 9. The method as set forth in claim 8 wherein the updated possible answer comprises one or more answers selected from the group consisting of a pharmaceutical drug prescription, a therapy prescription, and a medical diagnosis. | 0.888738 |
12. A computer-readable non-transitory storage medium storing instructions that when executed by a computer cause the computer to perform a method, the method comprising: receiving a request from a user for one or more recommendations; determining a location distribution from historical location information associated with the user, wherein the location distribution indicates one or more probability distributions for one or more locations; determining a time distribution from historical context information associated with the user, wherein the time distribution indicates one or more probability distributions for one or more contexts, wherein a respective context includes contextual variables corresponding to at least one of: a location; a time; a weather condition; and a venue type; determining a joint distribution of two or more of the contextual variables that are based on the location distribution and the time distribution, wherein the joint distribution comprises statistical attributes that characterize dependent relationships between the two or more of the contextual variables, the statistical attributes including one or more of: a mean value; a median value; a mode; a maximum value; and a minimum value of the contextual variables; determining a hypothetical context based on the statistical attributes of the joint distribution and a current context, wherein the hypothetical context indicates one or more user preferences that are outside of the user's current context and explicit historical contexts; producing one or more recommendations for the user based on the hypothetical context; constructing a mapping function that maps a user context to a hypothetical context, wherein constructing the mapping function involves using one or more of: historical contexts associated with the request; prior hypothetical contexts; and the user's interactions associated with the user's past requests for a recommendation; and providing the one or more recommendations to the user. | 12. A computer-readable non-transitory storage medium storing instructions that when executed by a computer cause the computer to perform a method, the method comprising: receiving a request from a user for one or more recommendations; determining a location distribution from historical location information associated with the user, wherein the location distribution indicates one or more probability distributions for one or more locations; determining a time distribution from historical context information associated with the user, wherein the time distribution indicates one or more probability distributions for one or more contexts, wherein a respective context includes contextual variables corresponding to at least one of: a location; a time; a weather condition; and a venue type; determining a joint distribution of two or more of the contextual variables that are based on the location distribution and the time distribution, wherein the joint distribution comprises statistical attributes that characterize dependent relationships between the two or more of the contextual variables, the statistical attributes including one or more of: a mean value; a median value; a mode; a maximum value; and a minimum value of the contextual variables; determining a hypothetical context based on the statistical attributes of the joint distribution and a current context, wherein the hypothetical context indicates one or more user preferences that are outside of the user's current context and explicit historical contexts; producing one or more recommendations for the user based on the hypothetical context; constructing a mapping function that maps a user context to a hypothetical context, wherein constructing the mapping function involves using one or more of: historical contexts associated with the request; prior hypothetical contexts; and the user's interactions associated with the user's past requests for a recommendation; and providing the one or more recommendations to the user. 22. The computer-readable non-transitory storage medium of claim 12 , wherein the method further comprises: presenting the hypothetical context that is obtained from estimations and determinations of time, location and weather-condition distributions, to the user; receiving a change to the hypothetical context from the user; and applying the change to the hypothetical context. | 0.60114 |
31. A system for passing messages between a first object-oriented program, written in a first object-oriented programming language, and a second object-oriented program, written in a second object-oriented programming language, comprising: a description of one or more classes existing in the second object-oriented program; a generic send message means having access to said description; and means for the first object-oriented program to send a message, using a first message protocol corresponding to the first object-oriented programming language, to the second object-oriented program by accessing said generic send message means, wherein said message is mapped to a second message protocol, corresponding to the second object-oriented programming language. | 31. A system for passing messages between a first object-oriented program, written in a first object-oriented programming language, and a second object-oriented program, written in a second object-oriented programming language, comprising: a description of one or more classes existing in the second object-oriented program; a generic send message means having access to said description; and means for the first object-oriented program to send a message, using a first message protocol corresponding to the first object-oriented programming language, to the second object-oriented program by accessing said generic send message means, wherein said message is mapped to a second message protocol, corresponding to the second object-oriented programming language. 32. The system of claim 31, wherein the second object-oriented computer program further comprises an object description for one or more objects which identifies one or more instance variables corresponding to said one or more objects and a pointer to said class description. | 0.704101 |
1. A method for automatically generating text to present information associated with at least one product to a customer, the method comprising: using at least one processor to perform: accessing a template that specifies at least one list of sales points associated with one or more characteristics of the at least one product, wherein the at least one list of sales points comprises a plurality of groups of sales points comprising at least a first group of sales points associated with a first category of product characteristics and a second group of sales points associated with a second category of product characteristics, and wherein the template further specifies first language for presenting sales points associated with the first category and second language for presenting sales points associated with the second category, wherein the first language is different from the second language, wherein each sales point in the at least one list of sales points comprises two or more words; identifying, in the at least one list of sales points, a first sales point indicative of the customer's preferences; identifying additional language to be presented with the first sales point by determining a group of sales points in the plurality of groups of sales points to which the first sales point belongs; determining a format for the determined group of sales points at least in part by determining, based on a characteristic of the determined group of sales points, whether the determined group of sales points should be formatted as an enumerated list forming at least part of a single sentence or as at least a part of a single textual sentence; and automatically generating output text including the determined group of sales points including the first sales point, and the additional language identified to be presented with the first sales point, the determined group of sales points being formatted according to the determined format. | 1. A method for automatically generating text to present information associated with at least one product to a customer, the method comprising: using at least one processor to perform: accessing a template that specifies at least one list of sales points associated with one or more characteristics of the at least one product, wherein the at least one list of sales points comprises a plurality of groups of sales points comprising at least a first group of sales points associated with a first category of product characteristics and a second group of sales points associated with a second category of product characteristics, and wherein the template further specifies first language for presenting sales points associated with the first category and second language for presenting sales points associated with the second category, wherein the first language is different from the second language, wherein each sales point in the at least one list of sales points comprises two or more words; identifying, in the at least one list of sales points, a first sales point indicative of the customer's preferences; identifying additional language to be presented with the first sales point by determining a group of sales points in the plurality of groups of sales points to which the first sales point belongs; determining a format for the determined group of sales points at least in part by determining, based on a characteristic of the determined group of sales points, whether the determined group of sales points should be formatted as an enumerated list forming at least part of a single sentence or as at least a part of a single textual sentence; and automatically generating output text including the determined group of sales points including the first sales point, and the additional language identified to be presented with the first sales point, the determined group of sales points being formatted according to the determined format. 2. The method of claim 1 , wherein the first language comprises first introductory language, the second language comprises second introductory language, and wherein: identifying additional language to be presented with the first sales point comprises identifying introductory language to be presented with the first sales point by: identifying the first introductory language as the introductory language to be presented with the first sales point when the first sales point is determined to be in the first group of sales points, and identifying the second introductory language as the introductory language to be presented with the first sales point when the first sales point is determined to be in the second group of sales points; and automatically generating the output text comprises generating the output text such that the identified introductory language precedes the first sales point in the generated output text. | 0.574295 |
16. The method of claim 13 , wherein said response is articulated by an electronic agent in audible form. | 16. The method of claim 13 , wherein said response is articulated by an electronic agent in audible form. 17. The method of claim 16 , wherein said electronic agent is programmed with a behavior customized for the user. | 0.971344 |
46. A media distribution network system as claimed in claim 4 wherein the mark-up language document includes, or includes a tag to, a company logo or trade identity identification of a source of origin for data provided by the mark-up language document. | 46. A media distribution network system as claimed in claim 4 wherein the mark-up language document includes, or includes a tag to, a company logo or trade identity identification of a source of origin for data provided by the mark-up language document. 50. A media distribution network system as claimed in claim 46 wherein the mark-up language document includes, or includes a tag to, a company logo or trade identity identification of a source of origin for data provided by the mark-up language document. | 0.903435 |
1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: generating, by the processor, a plurality of information elements based upon a voice conversation between a first entity and a second entity over a communication network; constructing a current conversation pattern from the plurality of information elements, wherein the current conversation pattern specifies an order of the plurality of information elements based upon the voice conversation; identifying one or more deceptive conversation properties of the current conversation pattern based upon analyzing the order of the plurality of information elements in the current conversation pattern against one or more domain-based conversation patterns; and sending an alert message to the first entity based upon the identified one or more deceptive conversation properties. | 1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: generating, by the processor, a plurality of information elements based upon a voice conversation between a first entity and a second entity over a communication network; constructing a current conversation pattern from the plurality of information elements, wherein the current conversation pattern specifies an order of the plurality of information elements based upon the voice conversation; identifying one or more deceptive conversation properties of the current conversation pattern based upon analyzing the order of the plurality of information elements in the current conversation pattern against one or more domain-based conversation patterns; and sending an alert message to the first entity based upon the identified one or more deceptive conversation properties. 6. The method of claim 1 further comprising: ingesting a conversation pattern corpora that includes a plurality of documents; and generating a conversation pattern domain based upon the plurality of documents, wherein the conversation pattern domain comprises a set of valid conversation patterns and a set of deceptive conversation patterns, and wherein the one or more domain-based conversation patterns are included in the conversation pattern domain. | 0.601166 |
11. A computer-implemented method comprising: receiving object code obtained by compiling C++ code, wherein the C++ code is generated from a server side script code specified using personal home page (PHP) syntax and implements functionality of the server side script code, the generated C++ code comprising: one or more C++ classes comprising code corresponding to the server side script code, one or more C++ header files storing information describing structures of the C++ classes, and code for memory allocation of objects instantiated from the C++ classes; receiving a request identifying a markup language document including the server side script code; and responsive to the request, executing instructions in the object code corresponding to the server side script code. | 11. A computer-implemented method comprising: receiving object code obtained by compiling C++ code, wherein the C++ code is generated from a server side script code specified using personal home page (PHP) syntax and implements functionality of the server side script code, the generated C++ code comprising: one or more C++ classes comprising code corresponding to the server side script code, one or more C++ header files storing information describing structures of the C++ classes, and code for memory allocation of objects instantiated from the C++ classes; receiving a request identifying a markup language document including the server side script code; and responsive to the request, executing instructions in the object code corresponding to the server side script code. 17. The computer-implemented method of claim 11 , wherein the generated C++ code comprises C++ static variables allocated in the process memory that are accessible from multiple threads. | 0.748082 |
8. A method for driving an electronic device, the method comprising: pre-storing Query and Answer (Q/A) set, the stored Q/A set includes a plurality of Q/As; acquiring a speech query associated with a query uttered by a user; identifying at least one Q/A of the plurality of Q/As based on criteria; generating a query list including candidate queries of the identified at least one Q/A, the candidate queries having the same or similar semantic as a semantic of the acquired speech query; providing the query list for display; and performing an operation related to a candidate query selected from the query list provided for display, wherein the criteria include a time and a place of the query being uttered by the user, and at least one of user situation information, a user profile, or a past service usage pattern. | 8. A method for driving an electronic device, the method comprising: pre-storing Query and Answer (Q/A) set, the stored Q/A set includes a plurality of Q/As; acquiring a speech query associated with a query uttered by a user; identifying at least one Q/A of the plurality of Q/As based on criteria; generating a query list including candidate queries of the identified at least one Q/A, the candidate queries having the same or similar semantic as a semantic of the acquired speech query; providing the query list for display; and performing an operation related to a candidate query selected from the query list provided for display, wherein the criteria include a time and a place of the query being uttered by the user, and at least one of user situation information, a user profile, or a past service usage pattern. 10. The method of claim 8 , further comprising: receiving a result of recognizing the acquired speech query from an external device, wherein the determining of the candidate queries having the same or similar semantic as the acquired speech is based on a semantic of the received result of the recognition. | 0.563765 |
12. A processor-implemented method, comprising: receiving a data analytics request including a user desired data variable and user configured parameters including a plurality of data fields, the plurality of data fields to form a query data set via a user interface, generating an intermediate query based on the data analytics request; defining an execution path for the intermediate query, the execution path including locations for a plurality of schema-independent distributed index files located on a plurality of distributed server node engines; transmitting, substantially simultaneously, the intermediate query to each distributed server node engine of the plurality of distributed server node engines so as to instruct that distributed server node engine to run the intermediate query, using a schema-independent distributed index file from the plurality of schema-independent distributed index files that is stored at that distributed server node engine; receiving intermediate query results from each distributed server node engine of the plurality of distributed server node engines based on the intermediate query; generating the query data set based on the intermediate query results; querying the query data set based on the data analytics request, the querying including a logic operation to derive the user desired data variable based on data from the query data set; obtaining a query result in response to the query; sending a signal to generate a user interactive graphical representation of the query result; receiving a user submitted query result parameter via the user interactive graphical representation, the user submitted query result parameter including at least one of (1) a modification to the query data set, (2) a modification to a dimension of the query data set, (3) a modification to a measure associated with data fields of the query data set, or (4) a modification of data set rules associated with the query data set; and dynamically adjusting the user interactive graphical representation according to the user submitted query result parameter. | 12. A processor-implemented method, comprising: receiving a data analytics request including a user desired data variable and user configured parameters including a plurality of data fields, the plurality of data fields to form a query data set via a user interface, generating an intermediate query based on the data analytics request; defining an execution path for the intermediate query, the execution path including locations for a plurality of schema-independent distributed index files located on a plurality of distributed server node engines; transmitting, substantially simultaneously, the intermediate query to each distributed server node engine of the plurality of distributed server node engines so as to instruct that distributed server node engine to run the intermediate query, using a schema-independent distributed index file from the plurality of schema-independent distributed index files that is stored at that distributed server node engine; receiving intermediate query results from each distributed server node engine of the plurality of distributed server node engines based on the intermediate query; generating the query data set based on the intermediate query results; querying the query data set based on the data analytics request, the querying including a logic operation to derive the user desired data variable based on data from the query data set; obtaining a query result in response to the query; sending a signal to generate a user interactive graphical representation of the query result; receiving a user submitted query result parameter via the user interactive graphical representation, the user submitted query result parameter including at least one of (1) a modification to the query data set, (2) a modification to a dimension of the query data set, (3) a modification to a measure associated with data fields of the query data set, or (4) a modification of data set rules associated with the query data set; and dynamically adjusting the user interactive graphical representation according to the user submitted query result parameter. 16. The method of claim 12 , wherein the query data set is defined by aggregating the intermediate query results. | 0.57196 |
1. A translation memory comprising: an aligned file having a number of source language text segments encoded in a computer readable format, each of the source language text segments positioned at a unique address and paired with a target language text segment encoded in the computer readable format; an inverted index comprising a listing of source language letter n-grams, wherein each listed letter n-gram includes an associated entry for an entropy weight for the listed letter n-gram, a count of the number of source language text segments in the aligned file that include an entry for the listed letter n-gram, and a pointer to a unique location in the translation memory; and a posting vector file having a posting vector associated with each listed letter n-gram in the inverted index, each posting vector positioned at one of the unique locations pointed to in the inverted index, each posting vector including: i) a plurality of document identification numbers each corresponding to a selected one of the source language text strings in the aligned file, and ii) a number of entropy weight values, each of the number of entropy weight values associated with one document identification number. | 1. A translation memory comprising: an aligned file having a number of source language text segments encoded in a computer readable format, each of the source language text segments positioned at a unique address and paired with a target language text segment encoded in the computer readable format; an inverted index comprising a listing of source language letter n-grams, wherein each listed letter n-gram includes an associated entry for an entropy weight for the listed letter n-gram, a count of the number of source language text segments in the aligned file that include an entry for the listed letter n-gram, and a pointer to a unique location in the translation memory; and a posting vector file having a posting vector associated with each listed letter n-gram in the inverted index, each posting vector positioned at one of the unique locations pointed to in the inverted index, each posting vector including: i) a plurality of document identification numbers each corresponding to a selected one of the source language text strings in the aligned file, and ii) a number of entropy weight values, each of the number of entropy weight values associated with one document identification number. 7. The translation memory of claim 1 wherein the entropy weights in each posting vector are normalized. | 0.68624 |
22. The method of claim 21 wherein the association function uses additional tests to determine if the origin node can be associated with the candidate node. | 22. The method of claim 21 wherein the association function uses additional tests to determine if the origin node can be associated with the candidate node. 23. The method of claim 22 wherein the additional tests include finding a match between a relatum of the candidate node and a second relatum of the origin node or terminus node. | 0.929697 |
2. The computer system of claim 1 , also including computer-executable instructions that configure the computer system to generate a one or more feature vectors from the one or more actions. | 2. The computer system of claim 1 , also including computer-executable instructions that configure the computer system to generate a one or more feature vectors from the one or more actions. 7. The computer system of claim 2 , also including computer-executable instructions that configure the computer system to utilize a classifier function to determine whether each action is valid or invalid based upon the one or more feature vectors. | 0.94574 |
3. A method of claim 1 , further comprising: determining display information about the user interface of the device; determining detail capacity associated with a total amount of detail that can be presented in the user interface; and allocating the detail capacity among the objects to be rendered in the geographic map according to the prioritization, wherein the rendering is performed differentially according to the allocation. | 3. A method of claim 1 , further comprising: determining display information about the user interface of the device; determining detail capacity associated with a total amount of detail that can be presented in the user interface; and allocating the detail capacity among the objects to be rendered in the geographic map according to the prioritization, wherein the rendering is performed differentially according to the allocation. 4. A method of claim 3 , wherein the differential rendering applies one or more techniques of exaggeration, elimination, typication, outline simplication, or a combination thereof. | 0.927368 |
1. A system for processing an action script for a graphical image for visual display, the system comprising: a network input and output interface to receive data; a first memory to store data; a frame buffer to store pixel data; and a plurality of processors to parse the action script into a plurality of descriptive elements and a corresponding plurality of variable length operand data sets, the plurality of descriptive elements specifying the graphical image in a non-pixel-by-pixel form; to directly convert each descriptive element of the plurality of descriptive elements of the action script into a corresponding operational code of a plurality of operational codes, each corresponding operational code comprising at least one graphical primitive instruction for native execution by at least one processor of the plurality of processors or comprising a memory pointer to an address in the first memory having a sequence of graphical primitive instructions for native execution by at the least one processor of the plurality of processors; to directly convert each variable length operand data set of the corresponding plurality of variable length operand data sets into one or more control words and store the one or more control words in the first memory, each control word comprising operand data and one or more control bits in predetermined fields for the native execution of the one or more graphical primitive instructions by the at least one processor of the plurality of processors; at least one processor of the plurality of processors to directly execute the one or more graphical primitive instructions using the one or more control words to generate pixel data for the graphical image, and to transfer the pixel data to the frame buffer. | 1. A system for processing an action script for a graphical image for visual display, the system comprising: a network input and output interface to receive data; a first memory to store data; a frame buffer to store pixel data; and a plurality of processors to parse the action script into a plurality of descriptive elements and a corresponding plurality of variable length operand data sets, the plurality of descriptive elements specifying the graphical image in a non-pixel-by-pixel form; to directly convert each descriptive element of the plurality of descriptive elements of the action script into a corresponding operational code of a plurality of operational codes, each corresponding operational code comprising at least one graphical primitive instruction for native execution by at least one processor of the plurality of processors or comprising a memory pointer to an address in the first memory having a sequence of graphical primitive instructions for native execution by at the least one processor of the plurality of processors; to directly convert each variable length operand data set of the corresponding plurality of variable length operand data sets into one or more control words and store the one or more control words in the first memory, each control word comprising operand data and one or more control bits in predetermined fields for the native execution of the one or more graphical primitive instructions by the at least one processor of the plurality of processors; at least one processor of the plurality of processors to directly execute the one or more graphical primitive instructions using the one or more control words to generate pixel data for the graphical image, and to transfer the pixel data to the frame buffer. 41. The system of claim 1 , wherein the action script is a data file specifying the graphical image at least partially using non-pixel data and which comprises an ASCII-encoded scripting language or bytecode. | 0.675749 |
17. The mobile device of claim 15 wherein the translation component is adapted to, when the response to the prompt indicates a request for an alternative translation, obtain at least one alternative replacement from said translation service server for replacing the portion of text. | 17. The mobile device of claim 15 wherein the translation component is adapted to, when the response to the prompt indicates a request for an alternative translation, obtain at least one alternative replacement from said translation service server for replacing the portion of text. 19. The mobile device of claim 17 , wherein the translation component is configured to, before replacing the portion of text, provide at least one further prompt, wherein said further prompt enables selection of one of said one or more alternative translations to replace the portion of text or to reject all of said one or more alternative translations. | 0.866066 |
6. A computer-implemented method being executed by a processor of a computing device for parsing a text file, the method comprising: defining a tree pattern based on the text file, and defining a plurality of character string patterns to identify the desired data; loading the text file into an array, wherein each line of the text file is an element of the array; locating one or more text blocks of the text file to determine a tree structure corresponding to the text file according to the tree pattern, and retrieving the desired data from the text file according to the tree structure corresponding to the text file and the character string patterns; and outputting the retrieved desired data into a storage system. | 6. A computer-implemented method being executed by a processor of a computing device for parsing a text file, the method comprising: defining a tree pattern based on the text file, and defining a plurality of character string patterns to identify the desired data; loading the text file into an array, wherein each line of the text file is an element of the array; locating one or more text blocks of the text file to determine a tree structure corresponding to the text file according to the tree pattern, and retrieving the desired data from the text file according to the tree structure corresponding to the text file and the character string patterns; and outputting the retrieved desired data into a storage system. 8. The method of claim 6 , wherein the retrieved desired data are output in a predetermined data format. | 0.663713 |
1. A computer-implemented method for automatically reviewing structured query language (SQL) statements, the computer-implemented method comprising, via one or more processors: receiving SQL code from a user seeking to access a database; parsing the SQL code to retrieve SQL keywords, mathematical operators, and logical operators; identifying the version of SQL that was used to create the SQL code; detecting pre-SQL-92 code based on a lack of newer SQL statement syntax: setting a temporary score if pre-SQL-92 code is detected; applying a complexity score calculation algorithm to the parsed SQL code to determine a presence of keywords and operators in the parsed SQL code; calculating a complexity score that varies according to a number of occurrences of keywords or operators and a variable complexity factor; executing the SQL code on a computing system which stores the database if the complexity score is less than or equal to a first threshold; flagging the SQL code to be reviewed by a computer administrator if the complexity score is greater than the first threshold; comparing the complexity score to a second threshold, greater than the first threshold; and returning the SQL code to an original coder to rewrite at least a portion of the SQL code in a different programming language if the complexity score is greater than the second threshold. | 1. A computer-implemented method for automatically reviewing structured query language (SQL) statements, the computer-implemented method comprising, via one or more processors: receiving SQL code from a user seeking to access a database; parsing the SQL code to retrieve SQL keywords, mathematical operators, and logical operators; identifying the version of SQL that was used to create the SQL code; detecting pre-SQL-92 code based on a lack of newer SQL statement syntax: setting a temporary score if pre-SQL-92 code is detected; applying a complexity score calculation algorithm to the parsed SQL code to determine a presence of keywords and operators in the parsed SQL code; calculating a complexity score that varies according to a number of occurrences of keywords or operators and a variable complexity factor; executing the SQL code on a computing system which stores the database if the complexity score is less than or equal to a first threshold; flagging the SQL code to be reviewed by a computer administrator if the complexity score is greater than the first threshold; comparing the complexity score to a second threshold, greater than the first threshold; and returning the SQL code to an original coder to rewrite at least a portion of the SQL code in a different programming language if the complexity score is greater than the second threshold. 2. The computer-implemented method of claim 1 , wherein the complexity score calculation algorithm calculates a temporary score for the retrieved keywords, mathematical operators, and logical operators. | 0.585629 |
13. An apparatus comprising: a processor; a network interface coupled with the processor, the network interface operable to receive a notification indicating that a resource is stored in a resource store; the resource store for storing heterogeneous native format resources; an index store comprising a plurality of index documents with common formatting; and a resource-indexing unit operable to determine a resource category for the resource based, at least in part, on metadata of the resource, in response to the network interface receiving the notification indicating that the resource is stored in the resource store; determine whether a resource index schema for the resource can be identified based on the resource category for the resource; in response to the resource-indexing unit determining that the resource index schema for the resource category can be identified, identify the resource index schema for the resource, wherein the resource index schema indicates a resource property of the resource; determine, from the metadata of the resource, a property value for the resource property indicated in the resource index schema for the resource; create a first index document that has a format independent of a format of the resource, that indicates the resource property and the property value, and that references the resource in the resource store of heterogeneous native format resources; in response to the resource-indexing unit determining that the resource index schema for the resource cannot be identified, identify a generic schema that indicates at least one property related to storing the resource in a resource store; identify a property value of the resource for the at least one property indicated in the generic schema; create a second index document that has a format independent of a format of the resource, that indicates the at least one property identified in generic schema and the corresponding property value, and that references the resource in the resource store of heterogeneous native format resources; and store the first index document and the second index document in an index store that comprises the plurality of index documents, wherein the first index document, the second index document, and the plurality of index documents have common formatting. | 13. An apparatus comprising: a processor; a network interface coupled with the processor, the network interface operable to receive a notification indicating that a resource is stored in a resource store; the resource store for storing heterogeneous native format resources; an index store comprising a plurality of index documents with common formatting; and a resource-indexing unit operable to determine a resource category for the resource based, at least in part, on metadata of the resource, in response to the network interface receiving the notification indicating that the resource is stored in the resource store; determine whether a resource index schema for the resource can be identified based on the resource category for the resource; in response to the resource-indexing unit determining that the resource index schema for the resource category can be identified, identify the resource index schema for the resource, wherein the resource index schema indicates a resource property of the resource; determine, from the metadata of the resource, a property value for the resource property indicated in the resource index schema for the resource; create a first index document that has a format independent of a format of the resource, that indicates the resource property and the property value, and that references the resource in the resource store of heterogeneous native format resources; in response to the resource-indexing unit determining that the resource index schema for the resource cannot be identified, identify a generic schema that indicates at least one property related to storing the resource in a resource store; identify a property value of the resource for the at least one property indicated in the generic schema; create a second index document that has a format independent of a format of the resource, that indicates the at least one property identified in generic schema and the corresponding property value, and that references the resource in the resource store of heterogeneous native format resources; and store the first index document and the second index document in an index store that comprises the plurality of index documents, wherein the first index document, the second index document, and the plurality of index documents have common formatting. 14. The apparatus of claim 13 , wherein the resource-indexing unit is further operable to: determine a query parameter specifying the property value of the resource property of the resource based, at least in part, on a received query, wherein the query is generated to retrieve the resource from the resource store; search through the index store that comprises the plurality of index documents to identify the index document that indicates the resource property and the corresponding property value specified in the query parameter; determine whether the index store comprises the index document that indicates the resource property and the corresponding property value specified in the query parameter; in response to the resource-indexing unit determining that the index store comprises the index document that indicates the resource property and the corresponding property value specified in the query parameter, identify the index document that indicates the resource property and the property value specified in the query parameter and that references the resource in the resource store; and retrieve the resource from the resource store based on the resource-indexing unit identifying the index document that indicates the resource property and the property value specified in the query parameter and that references the resource in the resource store; in response to the resource-indexing unit determining that the index store does not comprise the index document that indicates the resource property and the corresponding property value specified in the query parameter; determine an inability to identify the index document that references the resource in the resource store; and present a notification indicating the inability to identify the resource in the resource store that is associated with the resource property and the corresponding property value specified in the query parameter. | 0.5 |
11. A computer system for developing an educational material, the computer system comprising: a memory; and a plurality of modules configured to develop the educational material for delivery to a user via a delivery system operatively coupled to the computer system, the plurality of modules including: a scope and sequence engine implemented in at least one of the memory or a processing device, the scope and sequence engine configured to arrange a plurality of learning objectives to define a learning objective sequence, each learning objective from the plurality of learning objectives being associated with a content; and a temporal events manager configured to insert a temporal content associated with a temporal event at a position within the learning objective sequence based on a time associated with a presentation of the temporal content to a user; and a publication engine configured to produce the educational material including the content associated with each learning objective from the plurality of learning objectives and the temporal content, the content and the temporal content arranged to define at least one learning path within the learning objective sequence. | 11. A computer system for developing an educational material, the computer system comprising: a memory; and a plurality of modules configured to develop the educational material for delivery to a user via a delivery system operatively coupled to the computer system, the plurality of modules including: a scope and sequence engine implemented in at least one of the memory or a processing device, the scope and sequence engine configured to arrange a plurality of learning objectives to define a learning objective sequence, each learning objective from the plurality of learning objectives being associated with a content; and a temporal events manager configured to insert a temporal content associated with a temporal event at a position within the learning objective sequence based on a time associated with a presentation of the temporal content to a user; and a publication engine configured to produce the educational material including the content associated with each learning objective from the plurality of learning objectives and the temporal content, the content and the temporal content arranged to define at least one learning path within the learning objective sequence. 14. The computer system of claim 11 , wherein: the educational material is a first educational material associated with a first user: the at least one learning path includes the temporal content at a first position; and the publication engine is configured to produce a second educational material associated with a second user, the second educational material including the content associated with each learning objective from the plurality of learning objectives and the temporal content, the content and the temporal content arranged to define at least one learning path within the learning objective sequence, the at least one learning path of the second educational material including the temporal content at a second position different from the first position. | 0.5 |
3. The apparatus of claim 2 , wherein the script parser is further configured to construct the candidate URL from the instance of the token, the instance of the another of the tokens, and the syntax element. | 3. The apparatus of claim 2 , wherein the script parser is further configured to construct the candidate URL from the instance of the token, the instance of the another of the tokens, and the syntax element. 4. The apparatus of claim 3 , wherein: the instance of the token is a first text string in the executable script object, the instance of the another of the tokens is a second text string in the executable script object, and the syntax element is a combine operator. | 0.783388 |
11. In a paging system for transmitting a series of bits that correspond to a page message, said page message including a plurality of words, a method for encoding said page message comprising the steps of: separating said page message into the plurality of words; encoding at least one of said plurality of words into a preselected compressed coding using two or more different encoding dictionaries; and transmitting an encoded page message, including the compressed code corresponding to said at least one of said plurality of words and a header code identifying one of said two or more different dictionaries. | 11. In a paging system for transmitting a series of bits that correspond to a page message, said page message including a plurality of words, a method for encoding said page message comprising the steps of: separating said page message into the plurality of words; encoding at least one of said plurality of words into a preselected compressed coding using two or more different encoding dictionaries; and transmitting an encoded page message, including the compressed code corresponding to said at least one of said plurality of words and a header code identifying one of said two or more different dictionaries. 16. The paging method according to claim 11, wherein said step of decoding includes the step of: decoding said encoded words in accordance with different techniques depending upon an associated header code. | 0.71584 |
7. A method for displaying an electronic document, the method comprising: identifying, by a document handling application, a first file type of first embedded content and a first rendering engine that is configured to render embedded content of the first file type, the electronic document including the first embedded content and second embedded content within the first embedded content, wherein a file type of the electronic document differs from respective file types of the first and second embedded contents, the document handling application configured to invoke rendering engines to render documents on a display device for presenting a rendered electronic document, the first rendering engine being a member of a plurality of rendering engines, each rendering engine having a common interface, wherein each of the rendering engines is configured to render content associated with at least one corresponding file type; invoking, by the document handling application and in response to the identification, the first rendering engine through the first rendering engine's common interface to render the first embedded content; identifying, by the first rendering engine, the second embedded content within the first embedded content; identifying, by the first rendering engine and in response to identifying the second embedded content within the first embedded content, a second file type of the second embedded content within the first embedded content and a second rendering engine that is configured to render embedded content of the second type; invoking, by the first rendering engine and in response to identifying the second file type, the second rendering engine through the second rendering engine's common interface to render the second embedded content; receiving, by the first rendering engine, the rendered second embedded content from the second rendering engine; rendering, by the first rendering engine and in response to receiving the rendered second embedded content, the first embedded content; blending, by the first rendering engine, the rendered second embedded content with the rendered first embedded content; receiving, by the document handling application, the blended rendered first and second embedded content from the first rendering engine; rendering, by the document handling application and after receiving the blended rendered first and second embedded content, the electronic document; blending the blended rendered first and second embedded content with the rendered electronic document; and displaying, by the display device, the blended first and second embedded content and rendered electronic document where the first file type is different from the second file type and the first rendering engine is different from the second rendering engine. | 7. A method for displaying an electronic document, the method comprising: identifying, by a document handling application, a first file type of first embedded content and a first rendering engine that is configured to render embedded content of the first file type, the electronic document including the first embedded content and second embedded content within the first embedded content, wherein a file type of the electronic document differs from respective file types of the first and second embedded contents, the document handling application configured to invoke rendering engines to render documents on a display device for presenting a rendered electronic document, the first rendering engine being a member of a plurality of rendering engines, each rendering engine having a common interface, wherein each of the rendering engines is configured to render content associated with at least one corresponding file type; invoking, by the document handling application and in response to the identification, the first rendering engine through the first rendering engine's common interface to render the first embedded content; identifying, by the first rendering engine, the second embedded content within the first embedded content; identifying, by the first rendering engine and in response to identifying the second embedded content within the first embedded content, a second file type of the second embedded content within the first embedded content and a second rendering engine that is configured to render embedded content of the second type; invoking, by the first rendering engine and in response to identifying the second file type, the second rendering engine through the second rendering engine's common interface to render the second embedded content; receiving, by the first rendering engine, the rendered second embedded content from the second rendering engine; rendering, by the first rendering engine and in response to receiving the rendered second embedded content, the first embedded content; blending, by the first rendering engine, the rendered second embedded content with the rendered first embedded content; receiving, by the document handling application, the blended rendered first and second embedded content from the first rendering engine; rendering, by the document handling application and after receiving the blended rendered first and second embedded content, the electronic document; blending the blended rendered first and second embedded content with the rendered electronic document; and displaying, by the display device, the blended first and second embedded content and rendered electronic document where the first file type is different from the second file type and the first rendering engine is different from the second rendering engine. 10. The system of claim 7 , wherein: the first file type and the second file type are each one of PDF, Flash, HTML, ShockWave, or SVG. | 0.516707 |
1. A method of facilitating text-to-speech conversion of a network address comprising: upon determining that said network address comprises a domain name having a top level domain and at least one other level domain: determining a pronunciation of said top level domain based at least in part upon whether said top level domain is one of a predetermined set of top level domains; and for each of said at least one other level domain: searching for one or more recognized words within said other level domain; and further determining a pronunciation of said other level domain based at least in part on an outcome of said searching, wherein said set represents top level domains that are pronounced as a whole, wherein said determining said pronunciation of said top level domain comprises, if said top level domain is not one of said predetermined set of top level domains, generating a phonetic representation of each character in said top level domain pronounced individually or generating a tokenized representation of each individual character of said top level domain suitable for interpretation by a text-to-speech engine, and wherein the method is performed by a computing device. | 1. A method of facilitating text-to-speech conversion of a network address comprising: upon determining that said network address comprises a domain name having a top level domain and at least one other level domain: determining a pronunciation of said top level domain based at least in part upon whether said top level domain is one of a predetermined set of top level domains; and for each of said at least one other level domain: searching for one or more recognized words within said other level domain; and further determining a pronunciation of said other level domain based at least in part on an outcome of said searching, wherein said set represents top level domains that are pronounced as a whole, wherein said determining said pronunciation of said top level domain comprises, if said top level domain is not one of said predetermined set of top level domains, generating a phonetic representation of each character in said top level domain pronounced individually or generating a tokenized representation of each individual character of said top level domain suitable for interpretation by a text-to-speech engine, and wherein the method is performed by a computing device. 2. The method of claim 1 wherein said network address is an electronic mail (email) address or a Session Initiation Protocol (SIP) Uniform Resource Identifier (URI). | 0.595238 |
1. A method, comprising: storing one or more types of contact information for a plurality of organizations in a database; determining an access level for a request that includes a telecommunications identifier associated with an organization of the plurality of organizations, wherein the access level identifies which of the one or more types of contact information are accessible to the request; responding to the request with one or more types of contact information for the organization that are determined as accessible to the request based on the access level and the telecommunications identifier of the request; and displaying the one or more types of contact information for the organization, including an item, and indicating that an action is available for the item. | 1. A method, comprising: storing one or more types of contact information for a plurality of organizations in a database; determining an access level for a request that includes a telecommunications identifier associated with an organization of the plurality of organizations, wherein the access level identifies which of the one or more types of contact information are accessible to the request; responding to the request with one or more types of contact information for the organization that are determined as accessible to the request based on the access level and the telecommunications identifier of the request; and displaying the one or more types of contact information for the organization, including an item, and indicating that an action is available for the item. 7. The method of claim 1 , wherein said storing one or more types of contact information comprises storing the one or more types of contact information for the plurality of organizations in a local database. | 0.649787 |
1. A computer-implemented method for visualization of user sentiment for a product, comprising: providing a product image template, of a product offered to be purchased by consumers, wherein the product has a plurality of product features that exist simultaneously in the product, wherein the product image template having a plurality of locations respectively representing the plurality of product features; obtaining an aggregated sentiment score for each of the plurality of product features from user generated content; mapping the aggregated sentiment scores to score visualizations on a visualization scale, wherein each score visualization is associated with a different product feature of the plurality of product features; and representing each of the plurality of locations in the product image template relating to a respective product feature with the mapped score visualization for the aggregated sentiment score that is associated with the respective product feature, whereby a visualization of the product is enriched with the score visualizations that indicate the aggregated sentiment scores of the plurality of product features. | 1. A computer-implemented method for visualization of user sentiment for a product, comprising: providing a product image template, of a product offered to be purchased by consumers, wherein the product has a plurality of product features that exist simultaneously in the product, wherein the product image template having a plurality of locations respectively representing the plurality of product features; obtaining an aggregated sentiment score for each of the plurality of product features from user generated content; mapping the aggregated sentiment scores to score visualizations on a visualization scale, wherein each score visualization is associated with a different product feature of the plurality of product features; and representing each of the plurality of locations in the product image template relating to a respective product feature with the mapped score visualization for the aggregated sentiment score that is associated with the respective product feature, whereby a visualization of the product is enriched with the score visualizations that indicate the aggregated sentiment scores of the plurality of product features. 14. The method as claimed in claim 1 , wherein each location of the plurality of locations is an area of the product image template which represents a corresponding product feature of the plurality of product features. | 0.622905 |
19. A computer program product for automatic speech recognition as in claim 18 , wherein said language model identifies a match for each single candidate having a probability exceeding the probability of all other candidates by a threshold, and provides said single candidate as speech recognition results, a respective said context being updated automatically responsive to identifying said match. | 19. A computer program product for automatic speech recognition as in claim 18 , wherein said language model identifies a match for each single candidate having a probability exceeding the probability of all other candidates by a threshold, and provides said single candidate as speech recognition results, a respective said context being updated automatically responsive to identifying said match. 20. A computer program product for automatic speech recognition as in claim 19 , wherein whenever said language model provides more than one candidate having a probability within a threshold of each other, said context model iteratively adjusts likelihoods based on said context until a single candidate matches, and automatically updates said respective context responsive to said single candidate matching. | 0.864411 |
1. A method comprising: accessing, using one or more computing systems, one or more geographical locations and one or more first annotations for one or more items of content, wherein the one or more first annotations comprise at least one designated tag; determining a probability distribution of one or more geographical locations over the one or more first annotations; smoothing the probability distribution based, at least in part, on annotation-specific smoothing with the one or more items of content based, at least in part on a smoothing coefficient, wherein the smoothing coefficient for a particular annotation is proportional to a spatial ambiguity of the annotation; storing the smoothed probability distribution in a language model data store; and associating the one or more first annotations with one or more cells of a map having a cell grid layout indicating corresponding geographical locations based, at least in part, on the smoothed probability distribution; wherein at least partially in response to receiving one or more second annotations, determining one or more of the geographical locations corresponding to the one or more second annotations based, at least in part, on the smoothed probability distribution. | 1. A method comprising: accessing, using one or more computing systems, one or more geographical locations and one or more first annotations for one or more items of content, wherein the one or more first annotations comprise at least one designated tag; determining a probability distribution of one or more geographical locations over the one or more first annotations; smoothing the probability distribution based, at least in part, on annotation-specific smoothing with the one or more items of content based, at least in part on a smoothing coefficient, wherein the smoothing coefficient for a particular annotation is proportional to a spatial ambiguity of the annotation; storing the smoothed probability distribution in a language model data store; and associating the one or more first annotations with one or more cells of a map having a cell grid layout indicating corresponding geographical locations based, at least in part, on the smoothed probability distribution; wherein at least partially in response to receiving one or more second annotations, determining one or more of the geographical locations corresponding to the one or more second annotations based, at least in part, on the smoothed probability distribution. 3. The method of claim 1 , wherein the probability distribution comprises a multinomial probability distribution. | 0.713961 |
1. A speech dialog system, comprising: a processor; a signal pre-processor unit configured to process a speech input signal and generate an enhanced speech signal and an analysis signal, where the analysis signal comprises information related to one or more non-semantic characteristics of the speech input signal, the signal pre-processor unit outputting the analysis signal for speech dialog control; a speech recognition unit configured to receive the enhanced speech signal and generate a recognition result containing one or more words spoken in the speech input signal based on the enhanced speech signal; a speech output unit configured to output a synthesized speech output in response to the recognition result; and a speech dialog control unit configured to receive the analysis signal and the recognition result, the speech dialog control unit configured to control the speech output unit based upon the received analysis signal, and the speech dialog control unit also configured to control the signal pre-processor unit based upon the on the recognition result. | 1. A speech dialog system, comprising: a processor; a signal pre-processor unit configured to process a speech input signal and generate an enhanced speech signal and an analysis signal, where the analysis signal comprises information related to one or more non-semantic characteristics of the speech input signal, the signal pre-processor unit outputting the analysis signal for speech dialog control; a speech recognition unit configured to receive the enhanced speech signal and generate a recognition result containing one or more words spoken in the speech input signal based on the enhanced speech signal; a speech output unit configured to output a synthesized speech output in response to the recognition result; and a speech dialog control unit configured to receive the analysis signal and the recognition result, the speech dialog control unit configured to control the speech output unit based upon the received analysis signal, and the speech dialog control unit also configured to control the signal pre-processor unit based upon the on the recognition result. 2. The speech dialog system of claim 1 , where the information related to one or more non-semantic characteristics of the speech input signal comprises information related to one or more of: a noise component of the speech input signal; an echo component of the speech input signal; a location of a source of the speech input signal; a volume level of the speech input signal; a pitch of the speech input signal; or a stationarity of the speech input signal. | 0.5 |
27. The method of claim 25 , wherein said transmitted document is received by a printing site that prints said transmitted document for forwarding to said customer. | 27. The method of claim 25 , wherein said transmitted document is received by a printing site that prints said transmitted document for forwarding to said customer. 29. The method of claim 27 , wherein said customer order includes said customer's geographical location, and the method includes the further step of choosing a printing site that is geographically closest to said customer. | 0.912787 |
27. The computer storage medium of claim 25 further including instructions that when executed by one or more computers cause the one or more computers to perform operations that include, in response to a user interaction with a results row, indicating which row of the rule specification will generate the output in that results row. | 27. The computer storage medium of claim 25 further including instructions that when executed by one or more computers cause the one or more computers to perform operations that include, in response to a user interaction with a results row, indicating which row of the rule specification will generate the output in that results row. 28. The computer storage medium of claim 27 further including instructions that when executed by one or more computers cause the one or more computers to perform operations that include generating an evaluation table including an evaluation row corresponding to each row of the rule specification, in each evaluation row of the table, for each potential input, indicating whether the value in a first test column for that potential input satisfied the relationship for that potential input, and in an evaluation row corresponding to the row of the rule specification that will generate an output given the input values of the first test column, indicating the output that will be generated. | 0.717992 |
15. A tangible machine readable memory storing instructions that when executed by a processor configure the processor for: accessing data from a tangible machine readable medium representative of a model of a process, the model being in a format of a Business Process Modeling Notation (BPMN) choreography process that defines expected behavior among participating entities; identifying, from the model of the process, a set of participating entities; identifying a set of choreography tasks conducted between the set of participating entities; and for at least one choreography task in the set of choreography tasks: identifying an initiating participating entity and a corresponding participating entity for the choreography task; generating data indicating a trust relationship between the initiating participating entity and the corresponding participating entity based on the choreography task; storing data in a tangible computer readable medium indicating the trust relationship between the corresponding participating entity and the initiating participating entity; and accessing the data indicating the trust relationship to establish a security framework across a first enterprise domain of the initiating participating entity and a second enterprise domain of the corresponding participating entity. | 15. A tangible machine readable memory storing instructions that when executed by a processor configure the processor for: accessing data from a tangible machine readable medium representative of a model of a process, the model being in a format of a Business Process Modeling Notation (BPMN) choreography process that defines expected behavior among participating entities; identifying, from the model of the process, a set of participating entities; identifying a set of choreography tasks conducted between the set of participating entities; and for at least one choreography task in the set of choreography tasks: identifying an initiating participating entity and a corresponding participating entity for the choreography task; generating data indicating a trust relationship between the initiating participating entity and the corresponding participating entity based on the choreography task; storing data in a tangible computer readable medium indicating the trust relationship between the corresponding participating entity and the initiating participating entity; and accessing the data indicating the trust relationship to establish a security framework across a first enterprise domain of the initiating participating entity and a second enterprise domain of the corresponding participating entity. 19. The tangible machine readable memory of claim 15 , wherein the model of the process is represented by an XML formatted file, and identifying the set of participating entities comprises parsing the XML formatted file to extract participant identifiers from the XML formatted file. | 0.561118 |
7. The infusion pump assembly of claim 4 wherein the one or more circuit partitioning components includes one or more of a diode assembly and a current limiting assembly. | 7. The infusion pump assembly of claim 4 wherein the one or more circuit partitioning components includes one or more of a diode assembly and a current limiting assembly. 8. The infusion pump assembly of claim 7 wherein the diode assembly is configured to allow the primary power supply to charge the backup power supply while prohibiting the backup power supply from providing backup electrical energy to the primary processing logic in the event that the primary power supply fails to provide the primary electrical energy to the primary processing logic. | 0.896524 |
39. A computer-implemented method for building a compiled language library for establishing the equivalence of words, comprising the steps of: a. receiving at a processor from a computer-readable medium in communication with the processor a user-defined language specification (UDLS), wherein the UDLS comprises a plurality of consonants, a plurality of vowels, and a plurality of sets of equivalent terms, wherein each set of equivalent terms comprises a first term and a second term that differ in spelling but are phonetically equivalent, and wherein each of the first and second term comprise a character string; b. for each of the plurality of sets of equivalent terms, tokenizing at the processor the first term and the second term to create a first tokenized set comprising a plurality of first tokens from the first term and a second tokenized set comprising a plurality of second tokens from the second term, wherein each of the first tokens and second tokens comprises at least one consonant from the UDLS or consonant placeholder, and at least one vowel from the UDLS or vowel placeholder, wherein the tokenizing step comprises two-set tokenization comprising the step of combining groups of zero or one consonants into a consonant set and combining groups of zero or one vowels into a vowel set to create a two-set token; c. comparing at the processor each first token from the first tokenized set with a corresponding second token from the second tokenized set to determine if the first tokenized set comprises an equal number of tokens as the second tokenized set; d. if the first tokenized set comprises an equal number of tokens as the second tokenized set, comparing the consonants or consonant placeholders and vowels or vowel placeholders in each of the first tokens in the first tokenized set to the consonants or consonant placeholders and vowels or vowel placeholders in the corresponding second token from the second tokenized set to determine if the characters are identical, and if the characters are not identical then creating a rule indicating the equivalency of the consonants or consonant placeholders and vowels or vowel placeholders, and writing the rule to a first compiled language library (CLL); e. storing the first CLL on the computer-storage medium; f. if the first tokenized set comprises a different number of tokens as the second tokenized set, further comprising the step of performing three-step tokenization, wherein the step of performing three-step tokenization comprises the steps of: i. tokenizing at the processor the first term and the second term to create a third tokenized set comprising a plurality of third tokens from the first term and a fourth tokenized set comprising a plurality of fourth tokens from the second term, wherein each of the third and fourth tokens comprises at least one leading consonant or leading consonant placeholder, at least one vowel or vowel placeholder, and at least one trailing consonant or trailing consonant placeholder, further wherein the three-step tokenization step comprises the step of combining groups of zero or one leading consonants into a leading consonant set, combining groups of zero or one vowels into a vowel set, and combining groups of zero or one trailing consonants into an optional trailing consonant to create a three-set token, and further wherein a first symbol is used to represent a missing leading consonant in each three-set token comprising zero leading consonants; ii. comparing at the processor each third token from the third tokenized set with a corresponding fourth token from the fourth tokenized set to determine if the third tokenized set comprises an equal number of tokens as the fourth tokenized set; iii. if the third tokenized set comprises an equal number of tokens as the fourth tokenized set, comparing the characters in each of the third tokens in the third tokenized set to the characters in the corresponding fourth token from the fourth tokenized set to determine if the characters are identical, and if the characters are not identical then creating a rule indicating the equivalency of the leading consonants or leading consonant placeholders, vowels or vowel placeholders, and trailing consonants or trailing consonant placeholders, and writing the rule to a second compiled language library (CLL); and g. storing the second CLL on the computer-storage medium. | 39. A computer-implemented method for building a compiled language library for establishing the equivalence of words, comprising the steps of: a. receiving at a processor from a computer-readable medium in communication with the processor a user-defined language specification (UDLS), wherein the UDLS comprises a plurality of consonants, a plurality of vowels, and a plurality of sets of equivalent terms, wherein each set of equivalent terms comprises a first term and a second term that differ in spelling but are phonetically equivalent, and wherein each of the first and second term comprise a character string; b. for each of the plurality of sets of equivalent terms, tokenizing at the processor the first term and the second term to create a first tokenized set comprising a plurality of first tokens from the first term and a second tokenized set comprising a plurality of second tokens from the second term, wherein each of the first tokens and second tokens comprises at least one consonant from the UDLS or consonant placeholder, and at least one vowel from the UDLS or vowel placeholder, wherein the tokenizing step comprises two-set tokenization comprising the step of combining groups of zero or one consonants into a consonant set and combining groups of zero or one vowels into a vowel set to create a two-set token; c. comparing at the processor each first token from the first tokenized set with a corresponding second token from the second tokenized set to determine if the first tokenized set comprises an equal number of tokens as the second tokenized set; d. if the first tokenized set comprises an equal number of tokens as the second tokenized set, comparing the consonants or consonant placeholders and vowels or vowel placeholders in each of the first tokens in the first tokenized set to the consonants or consonant placeholders and vowels or vowel placeholders in the corresponding second token from the second tokenized set to determine if the characters are identical, and if the characters are not identical then creating a rule indicating the equivalency of the consonants or consonant placeholders and vowels or vowel placeholders, and writing the rule to a first compiled language library (CLL); e. storing the first CLL on the computer-storage medium; f. if the first tokenized set comprises a different number of tokens as the second tokenized set, further comprising the step of performing three-step tokenization, wherein the step of performing three-step tokenization comprises the steps of: i. tokenizing at the processor the first term and the second term to create a third tokenized set comprising a plurality of third tokens from the first term and a fourth tokenized set comprising a plurality of fourth tokens from the second term, wherein each of the third and fourth tokens comprises at least one leading consonant or leading consonant placeholder, at least one vowel or vowel placeholder, and at least one trailing consonant or trailing consonant placeholder, further wherein the three-step tokenization step comprises the step of combining groups of zero or one leading consonants into a leading consonant set, combining groups of zero or one vowels into a vowel set, and combining groups of zero or one trailing consonants into an optional trailing consonant to create a three-set token, and further wherein a first symbol is used to represent a missing leading consonant in each three-set token comprising zero leading consonants; ii. comparing at the processor each third token from the third tokenized set with a corresponding fourth token from the fourth tokenized set to determine if the third tokenized set comprises an equal number of tokens as the fourth tokenized set; iii. if the third tokenized set comprises an equal number of tokens as the fourth tokenized set, comparing the characters in each of the third tokens in the third tokenized set to the characters in the corresponding fourth token from the fourth tokenized set to determine if the characters are identical, and if the characters are not identical then creating a rule indicating the equivalency of the leading consonants or leading consonant placeholders, vowels or vowel placeholders, and trailing consonants or trailing consonant placeholders, and writing the rule to a second compiled language library (CLL); and g. storing the second CLL on the computer-storage medium. 40. The computer-implemented method of claim 39 , wherein a second symbol is used to represent a missing vowel in each three-set token comprising zero vowels. | 0.5 |
28. A system for automatically extracting relational information from a corpus of text without specifying criteria or patterns for controlling extraction of the relational information, comprising: (a) a memory in which a plurality of machine instructions are stored; (b) a storage in which a corpus of text is stored; (c) an interface for coupling to the storage; and (d) a processor that is coupled to the memory and also coupled to the storage through the interface, the processor executing the machine instructions stored in the memory to carry out a plurality of functions, including: (i) employing a first module that determines a set of linguistic features that are domain independent and which can be used to extract relationships between objects from text; and (ii) employing a second module that uses an extractor and the linguistic features to automatically extract a plurality of tuples from the corpus of text, each tuple including a plurality of objects connected by at least one relationship, wherein the extractor provides the plurality of tuples by tagging at least a portion of words within the corpus of text with each tagged word's most probable part of speech, without parsing the corpus of text and without generating a parse tree. | 28. A system for automatically extracting relational information from a corpus of text without specifying criteria or patterns for controlling extraction of the relational information, comprising: (a) a memory in which a plurality of machine instructions are stored; (b) a storage in which a corpus of text is stored; (c) an interface for coupling to the storage; and (d) a processor that is coupled to the memory and also coupled to the storage through the interface, the processor executing the machine instructions stored in the memory to carry out a plurality of functions, including: (i) employing a first module that determines a set of linguistic features that are domain independent and which can be used to extract relationships between objects from text; and (ii) employing a second module that uses an extractor and the linguistic features to automatically extract a plurality of tuples from the corpus of text, each tuple including a plurality of objects connected by at least one relationship, wherein the extractor provides the plurality of tuples by tagging at least a portion of words within the corpus of text with each tagged word's most probable part of speech, without parsing the corpus of text and without generating a parse tree. 29. The system of claim 28 , wherein the machine instructions further cause the processor to determine the linguistic features automatically without using manually input tagged examples, and without manual intervention. | 0.614086 |
7. The method of claim 1 in which the one or more tags are markup language tags. | 7. The method of claim 1 in which the one or more tags are markup language tags. 8. The method of claim 7 in which the markup language tags are hypertext markup language (HTML) tags. | 0.97535 |
1. Apparatus comprising: a computer system having a processor and memory; computer instructions stored in said memory accessibly to said processor and effective when executing on said processor to: respond to entry of a core search query into a search program by a computer system user by displaying to the user a plurality of geometric figures including a core figure representing a number of results delivered by the search program for the core search query and a secondary figure representing a number of results delivered for a suggested related query; display the displayed figures in varying relative sizes determined by the number of results delivered by the search program for the core search query and the number of results delivered by the search program for the suggested query, with a larger sized display indicating a larger number of results; and respond to the system user pointing a screen cursor to a displayed figure by displaying the results delivered by the search program for whichever of the queries is represented by the figure to which the cursor points. | 1. Apparatus comprising: a computer system having a processor and memory; computer instructions stored in said memory accessibly to said processor and effective when executing on said processor to: respond to entry of a core search query into a search program by a computer system user by displaying to the user a plurality of geometric figures including a core figure representing a number of results delivered by the search program for the core search query and a secondary figure representing a number of results delivered for a suggested related query; display the displayed figures in varying relative sizes determined by the number of results delivered by the search program for the core search query and the number of results delivered by the search program for the suggested query, with a larger sized display indicating a larger number of results; and respond to the system user pointing a screen cursor to a displayed figure by displaying the results delivered by the search program for whichever of the queries is represented by the figure to which the cursor points. 2. Apparatus according to claim 1 wherein the displayed geometric figures are circles. | 0.592621 |
12. The method of claim 11 , wherein the information is displayed in a dedicated interface adjacent to the news ticker interface. | 12. The method of claim 11 , wherein the information is displayed in a dedicated interface adjacent to the news ticker interface. 13. The method of claim 12 , wherein the dedicated interface adjacent to the news ticker interface comprises a column. | 0.941246 |
1. A method for determining access rights to a range of objects by a range of users through scope information, the method performed by a computer system including system memory and one or more processors, the method comprising: receiving, from a first user, a request to access a first resource; determining that a scope of a first access control metadata element encompasses the first resource, wherein the first access control metadata element includes: a first set of one or more XML statements that define the scope of the first access control metadata element by selecting a plurality of resources, the scope of the first access control metadata element encompassing the first resource and at least one other resource; a second set of one or more XML statements that define access rights for the plurality of resources within the scope of the first access control metadata element; and a third set of one or more XML statements that define a plurality of users to which the first access control metadata element applies; determining that a scope of a second access control metadata element encompasses the first resource, wherein the second access control metadata element includes: a first set of one or more XML access control-related statements that define the scope of the second access control metadata element by selecting one or more resources, the scope of the second access control metadata element encompassing the first resource; a second set of one or more XML statements that define access rights for the plurality of resources within the scope of the second access control metadata element; and a third set of one or more XML statements that define a plurality of users to which the second access control metadata element applies; determining that the first user is among the plurality of users to which the first access control metadata element applies as defined by the third set of one or more XML statements of the first access control metadata element; determining that the first user is among the plurality of users to which the second access control metadata element applies as defined by the third set of one or more XML statements of the second access control metadata element; determining that a first access right defined in the first access control metadata element conflicts with a second access right defined in the second access control metadata element; in response to determining that the first access right conflicts with the second access right, determining whether the first access right supersedes the second access right; and in response to determining that the first access right supersedes the second access right, applying the first access right to the access request from the first user. | 1. A method for determining access rights to a range of objects by a range of users through scope information, the method performed by a computer system including system memory and one or more processors, the method comprising: receiving, from a first user, a request to access a first resource; determining that a scope of a first access control metadata element encompasses the first resource, wherein the first access control metadata element includes: a first set of one or more XML statements that define the scope of the first access control metadata element by selecting a plurality of resources, the scope of the first access control metadata element encompassing the first resource and at least one other resource; a second set of one or more XML statements that define access rights for the plurality of resources within the scope of the first access control metadata element; and a third set of one or more XML statements that define a plurality of users to which the first access control metadata element applies; determining that a scope of a second access control metadata element encompasses the first resource, wherein the second access control metadata element includes: a first set of one or more XML access control-related statements that define the scope of the second access control metadata element by selecting one or more resources, the scope of the second access control metadata element encompassing the first resource; a second set of one or more XML statements that define access rights for the plurality of resources within the scope of the second access control metadata element; and a third set of one or more XML statements that define a plurality of users to which the second access control metadata element applies; determining that the first user is among the plurality of users to which the first access control metadata element applies as defined by the third set of one or more XML statements of the first access control metadata element; determining that the first user is among the plurality of users to which the second access control metadata element applies as defined by the third set of one or more XML statements of the second access control metadata element; determining that a first access right defined in the first access control metadata element conflicts with a second access right defined in the second access control metadata element; in response to determining that the first access right conflicts with the second access right, determining whether the first access right supersedes the second access right; and in response to determining that the first access right supersedes the second access right, applying the first access right to the access request from the first user. 5. The method of claim 1 , wherein the first resource comprises a web service. | 0.891185 |
14. A computerized method for performing a search in multiple languages comprising: requesting a webpage over a network; providing the webpage for display by an electronic display; receiving, from a user interface, a search query in a default language comprising a first search term and a second search term; receiving, from the user interface, a language selection for transliteration of the first search term; wherein the first search term, the second search term, and the language selection are manually entered via a single text input field, and wherein the language selection comprises a prefix or a suffix for the first search term, the prefix or suffix comprising text adjacent to the first search term within the single text input field; providing a transliteration request over the network to a transliteration database, wherein the transliteration request comprises the first search term and a selected language for the first search term; receiving, from the transliteration database, a transliterated search term in the selected language for the first search term, in response to providing the transliteration request, wherein the transliterated term is a spelling of the first search term in the selected language using one or more corresponding characters from an alphabet of the selected language; and providing search result data for display by the electronic display, the search result data representing the webpage having the transliterated search term in the selected language and the second search term in the default language, wherein the selected language differs from the default language. | 14. A computerized method for performing a search in multiple languages comprising: requesting a webpage over a network; providing the webpage for display by an electronic display; receiving, from a user interface, a search query in a default language comprising a first search term and a second search term; receiving, from the user interface, a language selection for transliteration of the first search term; wherein the first search term, the second search term, and the language selection are manually entered via a single text input field, and wherein the language selection comprises a prefix or a suffix for the first search term, the prefix or suffix comprising text adjacent to the first search term within the single text input field; providing a transliteration request over the network to a transliteration database, wherein the transliteration request comprises the first search term and a selected language for the first search term; receiving, from the transliteration database, a transliterated search term in the selected language for the first search term, in response to providing the transliteration request, wherein the transliterated term is a spelling of the first search term in the selected language using one or more corresponding characters from an alphabet of the selected language; and providing search result data for display by the electronic display, the search result data representing the webpage having the transliterated search term in the selected language and the second search term in the default language, wherein the selected language differs from the default language. 17. The method of claim 14 , further comprising: providing the transliterated search term for display on the electronic display, in response to receiving the transliterated search term from the transliteration database. | 0.667094 |
12. The method of claim 11 , further comprising storing the product information in a database and identifying the product is already in the database. | 12. The method of claim 11 , further comprising storing the product information in a database and identifying the product is already in the database. 16. The method of claim 12 , wherein the database is coupled to a server connected to the network, wherein the network is the Internet. | 0.91635 |
1. A method for producing a lottery product providing a story, the method comprising: printing a first page that embodies a first instant game, the first page including a first removable covering concealing a first element of a story, and the first page being associated with a first predetermined sub-payout, and the first page indicating a first predetermined running value of the lottery product; printing a second page that embodies a second instant game, the second page including a second removable covering concealing a second element of the story, and the second page being associated with a second predetermined sub-payout, and the second page indicating a second predetermined running value of the lottery product, the second predetermined running value being based on the first predetermined sub-payout and the second predetermined sub-payout; printing a table that (1) identifies a third element of the story and indicates a first potential prize for the first instant game if the third element matches the first element and (2) identifies a fourth element of the story and indicates a second potential prize for the second instant game if the fourth element matches the second element; and assembling the first page, the second page, and the table into a lottery product. | 1. A method for producing a lottery product providing a story, the method comprising: printing a first page that embodies a first instant game, the first page including a first removable covering concealing a first element of a story, and the first page being associated with a first predetermined sub-payout, and the first page indicating a first predetermined running value of the lottery product; printing a second page that embodies a second instant game, the second page including a second removable covering concealing a second element of the story, and the second page being associated with a second predetermined sub-payout, and the second page indicating a second predetermined running value of the lottery product, the second predetermined running value being based on the first predetermined sub-payout and the second predetermined sub-payout; printing a table that (1) identifies a third element of the story and indicates a first potential prize for the first instant game if the third element matches the first element and (2) identifies a fourth element of the story and indicates a second potential prize for the second instant game if the fourth element matches the second element; and assembling the first page, the second page, and the table into a lottery product. 6. The method of claim 1 , in which the story comprises historical information. | 0.653348 |
Subsets and Splits