sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|
1. A method of operating a virtual image generation system, the method comprising: allowing an end user to visualize an object of interest in a three-dimensional scene; spatially associating a text region within a field of view of the user, wherein the text region is spatially associated with the object of interest; generating a gesture reference associated with the object of interest; generating a textual message that identifies at least one characteristic of the object of interest; streaming the textual message within the text region; sensing gestural commands from the end user by detecting an angular position of an anatomical part of the end user relative to a plurality of different regions of the gesture reference; and controlling the streaming of the textual message in response to the sensed gestural commands, wherein the gesture reference is an annular ring surrounding the object of interest, and wherein a first side of the annular ring forms one of the different regions, and a second side of the annular ring opposite of the first side of the annular ring forms another one of the different regions. | 1. A method of operating a virtual image generation system, the method comprising: allowing an end user to visualize an object of interest in a three-dimensional scene; spatially associating a text region within a field of view of the user, wherein the text region is spatially associated with the object of interest; generating a gesture reference associated with the object of interest; generating a textual message that identifies at least one characteristic of the object of interest; streaming the textual message within the text region; sensing gestural commands from the end user by detecting an angular position of an anatomical part of the end user relative to a plurality of different regions of the gesture reference; and controlling the streaming of the textual message in response to the sensed gestural commands, wherein the gesture reference is an annular ring surrounding the object of interest, and wherein a first side of the annular ring forms one of the different regions, and a second side of the annular ring opposite of the first side of the annular ring forms another one of the different regions. 9. The method of claim 1 , wherein the streaming of the textual message is controlled in response to the sensed gestural commands by initiating the streaming of the textual message when the anatomical part of the end user is pointed at the one region of the gesture reference, and terminating the streaming of the textual message when the anatomical part of the end user is pointed at another different region of the gesture reference. | 0.580941 |
5. The method of claim 4 wherein the initial utterance and correction utterance are each defined by a set of feature parameters. | 5. The method of claim 4 wherein the initial utterance and correction utterance are each defined by a set of feature parameters. 6. The method of claim 5 wherein the feature parameters comprise Mel frequency cepstral coefficients. | 0.961191 |
15. The apparatus of claim 11 , wherein the memory and computer program code are configured to, with the processor, cause the apparatus to: generate at least one profile on behalf of the user, the profile comprises information indicating the locations, the times and the spoken reviews. | 15. The apparatus of claim 11 , wherein the memory and computer program code are configured to, with the processor, cause the apparatus to: generate at least one profile on behalf of the user, the profile comprises information indicating the locations, the times and the spoken reviews. 19. The apparatus of claim 15 , wherein the memory and computer program code are configured to, with the processor, cause the apparatus to: provide suggested times to attend one or more events at one or more entities based in part on information indicating the times and locations of the profile in response to determining that the user is in one of the locations. | 0.83955 |
3. The system of claim 1 , wherein the social network software runs on a social network server, the social network server being physically distinct from the server. | 3. The system of claim 1 , wherein the social network software runs on a social network server, the social network server being physically distinct from the server. 4. The system of claim 3 , wherein access to the approved yearbook data is provided to the yearbook system through the social network server. | 0.96913 |
14. A method of processing content using a computer, the content including one or more of text, numbers, graphic objects, and tables, the method comprising: storing a version of the content in a memory of the computer; displaying a portion of the content on a display of the computer, the portion having text and an object; providing a display of available commands for processing the content, the available commands including wrapping the text around the object; monitoring user actions associated with the displayed portion of the content, the user actions including identifying but not executing one of the available commands for processing the content; in response to the action of identifying but not executing one of the available commands being performed by the user, updating the display of the portion of the content on the display of the computer in accordance with the identified command. | 14. A method of processing content using a computer, the content including one or more of text, numbers, graphic objects, and tables, the method comprising: storing a version of the content in a memory of the computer; displaying a portion of the content on a display of the computer, the portion having text and an object; providing a display of available commands for processing the content, the available commands including wrapping the text around the object; monitoring user actions associated with the displayed portion of the content, the user actions including identifying but not executing one of the available commands for processing the content; in response to the action of identifying but not executing one of the available commands being performed by the user, updating the display of the portion of the content on the display of the computer in accordance with the identified command. 19. The method of claim 14 , further comprising altering the document in response to the user confirming execution of the one identified command. | 0.6631 |
1. A method in a computing system for improving the relevance of search results retrieved from one or more keyword-based search engines, comprising: receiving an indication of a designated entity having a name; determining whether the name of the designated entity is likely to lead to relevancy errors when used in a keyword-based search by performing a test to determine if the name of the designated entity matches a word that is not an entity, the name of the designated entity is a substring of a different entity's name, the name of the designated entity matches a name of a different entity having a facet that is not shared by the designated entity, or the name of the designated entity matches a name of a different entity with a facet that is shared with the designated entity; when determined that the name of the designated entity is likely to lead to relevancy errors, determining whether the name of the designated entity should be enhanced with an entity-specific enhancement, a facet-specific enhancement, or both types of enhancements, to formulate an enhanced query strategy, wherein the enhanced query strategy comprises a plurality of automatically generated queries that include disambiguation information, wherein an entity-specific enhancement includes a name of an entity, action, or property value related to the designated entity or related through a facet of the designated entity, and wherein a facet-specific enhancement includes one or more terms related to a facet; and when determined that the name of the designated entity is to be enhanced to formulate the enhanced query strategy, using one or more query enhancer components of the computing system selected based upon the determination of whether the name of the designated entity is to be enhanced with the entity-specific enhancement and/or the facet-specific enhancement, automatically adding one or more entity-specific queries and/or one or more facet-specific queries to the name of the designated entity to generate the enhanced query strategy, wherein at least one of the enhancements is based upon one or more facets associated with the designated entity; and forwarding the automatically generated query strategy to the one or more keyword-based search engines to generate on-topic information related to the designated entity. | 1. A method in a computing system for improving the relevance of search results retrieved from one or more keyword-based search engines, comprising: receiving an indication of a designated entity having a name; determining whether the name of the designated entity is likely to lead to relevancy errors when used in a keyword-based search by performing a test to determine if the name of the designated entity matches a word that is not an entity, the name of the designated entity is a substring of a different entity's name, the name of the designated entity matches a name of a different entity having a facet that is not shared by the designated entity, or the name of the designated entity matches a name of a different entity with a facet that is shared with the designated entity; when determined that the name of the designated entity is likely to lead to relevancy errors, determining whether the name of the designated entity should be enhanced with an entity-specific enhancement, a facet-specific enhancement, or both types of enhancements, to formulate an enhanced query strategy, wherein the enhanced query strategy comprises a plurality of automatically generated queries that include disambiguation information, wherein an entity-specific enhancement includes a name of an entity, action, or property value related to the designated entity or related through a facet of the designated entity, and wherein a facet-specific enhancement includes one or more terms related to a facet; and when determined that the name of the designated entity is to be enhanced to formulate the enhanced query strategy, using one or more query enhancer components of the computing system selected based upon the determination of whether the name of the designated entity is to be enhanced with the entity-specific enhancement and/or the facet-specific enhancement, automatically adding one or more entity-specific queries and/or one or more facet-specific queries to the name of the designated entity to generate the enhanced query strategy, wherein at least one of the enhancements is based upon one or more facets associated with the designated entity; and forwarding the automatically generated query strategy to the one or more keyword-based search engines to generate on-topic information related to the designated entity. 13. The method of claim 1 wherein the automatically generated query strategy is used with a keyword-based search engine API for web searching. | 0.567557 |
7. The method of claim 1 , wherein the plurality of option buttons are associated with a subject matter of a text displayed within the touch phrase button in the first state. | 7. The method of claim 1 , wherein the plurality of option buttons are associated with a subject matter of a text displayed within the touch phrase button in the first state. 8. The method of claim 7 , wherein the subject matter of the text displayed within the touch phrase button in the first state relates to a medical condition or part of a human body. | 0.940171 |
1. A computer-implemented method of personalizing placed content associated with a search query, comprising: at a server system having one or more processors and memory storing programs executed by the one or more processors: receiving a search query from a user; accessing a user profile associated with the user, wherein the user profile is based, at least in part, on query terms in a plurality of previously submitted search queries; identifying a set of placed content that matches the search query; assigning a popularity score to each of the set of placed content in accordance with the user profile, a respective bid value for the placed content, and a respective click through rate for the placed content based on multiple user activities, wherein the assigning the popularity score includes: determining a similarity score between the user profile and a placed content profile associated with the placed content, wherein the similarity score is indicative of a level of similarity between the user profile and the associated placed content profile, and combining the similarity score with the respective click through rate and the respective bid value to determine the popularity score assigned to the placed content; and ranking the set of placed content according to their respective popularity scores; and preparing for display to the user at least a subset of the set of placed content in an order determined by their respective popularity scores. | 1. A computer-implemented method of personalizing placed content associated with a search query, comprising: at a server system having one or more processors and memory storing programs executed by the one or more processors: receiving a search query from a user; accessing a user profile associated with the user, wherein the user profile is based, at least in part, on query terms in a plurality of previously submitted search queries; identifying a set of placed content that matches the search query; assigning a popularity score to each of the set of placed content in accordance with the user profile, a respective bid value for the placed content, and a respective click through rate for the placed content based on multiple user activities, wherein the assigning the popularity score includes: determining a similarity score between the user profile and a placed content profile associated with the placed content, wherein the similarity score is indicative of a level of similarity between the user profile and the associated placed content profile, and combining the similarity score with the respective click through rate and the respective bid value to determine the popularity score assigned to the placed content; and ranking the set of placed content according to their respective popularity scores; and preparing for display to the user at least a subset of the set of placed content in an order determined by their respective popularity scores. 4. The method of claim 1 , further including associating the similarity score with a scaling factor. | 0.656 |
14. A system for the analysis of digitally encoded text including sequential strings of characters separated by white space, such system comprising means for receiving and storing digitally encoded text word table means for storing a table of common words together with a syllable count indication for a stored word word identifier means for examining successive strings of coded text and identifying each word therein, and syllable counter means for determining the syllable count of each identified word, wherein the syllable counter means includes means for checking an identified word against the word table and returning, for a word stored therein, the syllable count indication. | 14. A system for the analysis of digitally encoded text including sequential strings of characters separated by white space, such system comprising means for receiving and storing digitally encoded text word table means for storing a table of common words together with a syllable count indication for a stored word word identifier means for examining successive strings of coded text and identifying each word therein, and syllable counter means for determining the syllable count of each identified word, wherein the syllable counter means includes means for checking an identified word against the word table and returning, for a word stored therein, the syllable count indication. 15. A system according to claim 14, wherein the syllable counter means further includes means for performing an ordered sequence of context-dependent substitutions of coded characters in an identified word to determine a modified word, and means for counting occurrences of a discrete number of coded characters in the modified word to obtain the said syllable count. | 0.56793 |
1. A method for managing document annotations in a publish/subscribe system as carried out at a subscribing system, comprising: subscribing a user to annotations of a document, wherein each annotation is separate from the document and includes reference to display of the annotation in relation to display of the document; defining a role of the subscribing user, wherein use permissions of a set of the annotations by the subscribing user are controlled based on the role, the use permissions including access permissions based on at least one constraint selected from a group consisting of a time constraint and a location constraint of the subscribing user; and filtering, using at least one tag, the subscription of the subscribing user to the set of the annotations based on a publishing user. | 1. A method for managing document annotations in a publish/subscribe system as carried out at a subscribing system, comprising: subscribing a user to annotations of a document, wherein each annotation is separate from the document and includes reference to display of the annotation in relation to display of the document; defining a role of the subscribing user, wherein use permissions of a set of the annotations by the subscribing user are controlled based on the role, the use permissions including access permissions based on at least one constraint selected from a group consisting of a time constraint and a location constraint of the subscribing user; and filtering, using at least one tag, the subscription of the subscribing user to the set of the annotations based on a publishing user. 4. The method of claim 1 , wherein the use permissions include editing permissions for the subscribing user. | 0.813356 |
2. The method of claim 1 , wherein the generating the candidate translations comprises determining, by at least one data processor, the candidate translations based on character-level transliteration, based on a transliteration model, or based on look-up in a translation table. | 2. The method of claim 1 , wherein the generating the candidate translations comprises determining, by at least one data processor, the candidate translations based on character-level transliteration, based on a transliteration model, or based on look-up in a translation table. 6. The method of claim 2 , wherein the determining the candidate translations comprises tokenizing, by at least one data processor, a combination of characters determined to represent an entity name into multiple consecutive strings of characters such that each token corresponds to a word or name component in the target language. | 0.834766 |
13. The non-transitory machine-readable medium of claim 12 , wherein the steps further include: when the normalized link text is in the format of the link address: determining whether the normalized link text matches the link address, determining that the link text is safe when the normalized link text matches the link address, determining that the link text is unsafe when the normalized link text does not match the link address, and disabling the web link on the web page when the link text is determined to be unsafe. | 13. The non-transitory machine-readable medium of claim 12 , wherein the steps further include: when the normalized link text is in the format of the link address: determining whether the normalized link text matches the link address, determining that the link text is safe when the normalized link text matches the link address, determining that the link text is unsafe when the normalized link text does not match the link address, and disabling the web link on the web page when the link text is determined to be unsafe. 14. The non-transitory machine-readable medium of claim 13 , wherein the steps further include: attempting to extend the normalized link text to include the context text from the left side or the right side of the normalized link text when the normalized link text matches the link address; and determining that the link text is safe when there is no additional context text to the left side or the right side of the normalized link text. | 0.802205 |
1. A machine implemented method, comprising: receiving a set of rules, specifying actions to be taken in response to finding specific types of input data and a format of an output t-box; receiving a first set of input information, in a format satisfying the rules; wherein the input information has sufficient structure to enable rules to be applied to the input information to determine individual fields therefrom; generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories, and an a-box comprising assertions of individual instances of the categories of the t-box, wherein the a-box is generated by applying the set of rules to the first set of input information, and wherein the t-box and the a-box are generated concurrently such that the a-box is generated while the t-box is being generated; generating a Web Ontology Language (“OWL”) database using the a-box and the t-box; and generating a knowledge base based on OWL statements of the OWL database, wherein the method is performed by a computer executing program instructions. | 1. A machine implemented method, comprising: receiving a set of rules, specifying actions to be taken in response to finding specific types of input data and a format of an output t-box; receiving a first set of input information, in a format satisfying the rules; wherein the input information has sufficient structure to enable rules to be applied to the input information to determine individual fields therefrom; generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories, and an a-box comprising assertions of individual instances of the categories of the t-box, wherein the a-box is generated by applying the set of rules to the first set of input information, and wherein the t-box and the a-box are generated concurrently such that the a-box is generated while the t-box is being generated; generating a Web Ontology Language (“OWL”) database using the a-box and the t-box; and generating a knowledge base based on OWL statements of the OWL database, wherein the method is performed by a computer executing program instructions. 2. The method of claim 1 , further comprising: receiving a second set of input information, the second set of input information differing from the first set of input information; and generating a revised t-box and a revised a-box based upon the second set of input information and the set of rules; wherein the revised t-box includes at least one category or relationship not present in the t-box and correlating to data in the revised a-box. | 0.62038 |
1. An apparatus for identifying potential patent infringement, comprising: means for inputting information regarding a patent; a processing device configured to: identify at least one claim of the patent, parse the at least one claim to identify at least one term in the at least one claim, formulate a search query comprising the at least one term, automatically generate and transmit a natural language question to a chat room, obtain information regarding at least one of a product, products, a service, and services from the chat room in response to the question, and perform a search of the information regarding at least one of a product, products, a service, and services using the search query; and means for outputting result of the search. | 1. An apparatus for identifying potential patent infringement, comprising: means for inputting information regarding a patent; a processing device configured to: identify at least one claim of the patent, parse the at least one claim to identify at least one term in the at least one claim, formulate a search query comprising the at least one term, automatically generate and transmit a natural language question to a chat room, obtain information regarding at least one of a product, products, a service, and services from the chat room in response to the question, and perform a search of the information regarding at least one of a product, products, a service, and services using the search query; and means for outputting result of the search. 10. The apparatus of claim 1 , wherein the at least one term comprises a first term and a second term, and wherein the processing device is further configured to formulate the search query so that the search query imposes a proximity constraint requiring the first term to be found within a predefined proximity of the second term. | 0.653873 |
9. A method of performing analysis of a communication session between two entities, comprising; loading predetermined first parser definitions, stored as at least one binary file; receiving second parser definitions in a form other than a binary file form, after the first parser definitions are already operating; loading the second parser definitions; compiling the second parser definitions; and applying the first and second parser definitions to a communication session, wherein receiving second parser definitions comprises receiving a path to a data file that includes tokens used for said second parser definitions. | 9. A method of performing analysis of a communication session between two entities, comprising; loading predetermined first parser definitions, stored as at least one binary file; receiving second parser definitions in a form other than a binary file form, after the first parser definitions are already operating; loading the second parser definitions; compiling the second parser definitions; and applying the first and second parser definitions to a communication session, wherein receiving second parser definitions comprises receiving a path to a data file that includes tokens used for said second parser definitions. 14. The method of claim 9 , wherein the second parser definitions include a token definition. | 0.644928 |
1. A data processing apparatus comprising: inputting means for inputting alphanumeric character data representing a message to be transmitted; converting means for converting said alphanumeric character data input by said inputting means into first information indicating a series of key operations of a push-button telephone which must be operated by a user when inputting a message corresponding to said alphanumeric character data by said key operations of said push-button telephone connected to a public telephone network; and displaying means for displaying said first information indicating said series of key operations converted by said converting means. | 1. A data processing apparatus comprising: inputting means for inputting alphanumeric character data representing a message to be transmitted; converting means for converting said alphanumeric character data input by said inputting means into first information indicating a series of key operations of a push-button telephone which must be operated by a user when inputting a message corresponding to said alphanumeric character data by said key operations of said push-button telephone connected to a public telephone network; and displaying means for displaying said first information indicating said series of key operations converted by said converting means. 4. A data processing apparatus according to claim 1, wherein said converting means comprises means for converting each alphanumeric character data representing a message to be transmitted input by said inputting means into two-digit numeric data. | 0.716693 |
18. The method as recited in claim 17 , wherein said simultaneous sparse approximation is of a greedy adaptive decomposition (GAD) type, said candidate spectral components being established within the general dictionary, said candidate spectral components each being defined either as a continuous function or as a discrete vector. | 18. The method as recited in claim 17 , wherein said simultaneous sparse approximation is of a greedy adaptive decomposition (GAD) type, said candidate spectral components being established within the general dictionary, said candidate spectral components each being defined either as a continuous function or as a discrete vector. 25. The method as recited in claim 18 , wherein said selective matching includes a simultaneous sparse approximation to decompose respective ones of said grouped image data vectors to generate a linear combination of said core spectral signatures for at least one of said grouped image data vectors. | 0.82925 |
10. The method of claim 8 , further comprising interpreting, using the splitter, the determined objects based on a deferred evaluation scheme, wherein the interpretation of the determined objects is deferred until the interpretation of the determined objects is actually needed to process the chunks having such objects. | 10. The method of claim 8 , further comprising interpreting, using the splitter, the determined objects based on a deferred evaluation scheme, wherein the interpretation of the determined objects is deferred until the interpretation of the determined objects is actually needed to process the chunks having such objects. 11. The method of claim 10 , wherein the deferred evaluation scheme is applied to clipping, show operator, and encoded strings. | 0.968336 |
40. The computer readable storage medium of claim 23 , wherein the one or more programs further comprise: instructions for-updating the web crawl interval of a document after retrieving a new copy of the document's content from its host and detecting content changes to the document based on the new copy. | 40. The computer readable storage medium of claim 23 , wherein the one or more programs further comprise: instructions for-updating the web crawl interval of a document after retrieving a new copy of the document's content from its host and detecting content changes to the document based on the new copy. 48. The computer readable storage medium of claim 40 , wherein the initial web crawl interval of the document is determined in accordance with a score corresponding to the document's popularity. | 0.939266 |
1. A method of developing and deploying a network application in a distributed computing system including at least a server and at least a client machine, wherein said client machine is adapted to connect to said server via a network, said method comprising: developing a server-side application comprising at least one markup document and at least one business logic component, wherein said markup document is written using any declarative Extensible Markup Language (XML) and said business logic component is written using any programming language; compiling said business logic component into a specific executable code using a compiler, wherein said compiler is adapted to receive a business logic component written in any programming language and to compile said business logic component into a specific executable code that can be executed by a specific execution engine in said client machine; converting said markup document into a specific markup language document using a markup language converter, wherein said markup language converter is adapted to receive a markup document written in any XML language and to convert said markup document into a specific markup language document that is compatible with a specific client runtime environment (CRE) of said client machine; and deploying said specific markup document and said specific executable code to said client machine via said network. | 1. A method of developing and deploying a network application in a distributed computing system including at least a server and at least a client machine, wherein said client machine is adapted to connect to said server via a network, said method comprising: developing a server-side application comprising at least one markup document and at least one business logic component, wherein said markup document is written using any declarative Extensible Markup Language (XML) and said business logic component is written using any programming language; compiling said business logic component into a specific executable code using a compiler, wherein said compiler is adapted to receive a business logic component written in any programming language and to compile said business logic component into a specific executable code that can be executed by a specific execution engine in said client machine; converting said markup document into a specific markup language document using a markup language converter, wherein said markup language converter is adapted to receive a markup document written in any XML language and to convert said markup document into a specific markup language document that is compatible with a specific client runtime environment (CRE) of said client machine; and deploying said specific markup document and said specific executable code to said client machine via said network. 2. The method of claim 1 further comprising combining said specific markup language document and said specific executable code into one entity before said deploying to said client machine. | 0.550185 |
16. A system including memory and one or more processors operable to execute instructions stored in memory, comprising instructions to: identify a task entry of a user, wherein the task entry includes one or more information fields; identify one or more messages sent or received by the user, wherein each of the messages includes one or more terms; identify an association between the task entry and the one or more messages; identify a new message that is related to the one or more messages, wherein the new message is sent or received by the user after creation of the task entry of the user, and wherein the new message includes one or more new message terms; determine an n-gram based on the one or more new message terms of the new message; determine a similarity score between the n-gram and the task entry, wherein the similarity score is indicative of a likelihood that the user has interest in associating the n-gram with the task entry; and associate the n-gram with the task entry based on the similarity score. | 16. A system including memory and one or more processors operable to execute instructions stored in memory, comprising instructions to: identify a task entry of a user, wherein the task entry includes one or more information fields; identify one or more messages sent or received by the user, wherein each of the messages includes one or more terms; identify an association between the task entry and the one or more messages; identify a new message that is related to the one or more messages, wherein the new message is sent or received by the user after creation of the task entry of the user, and wherein the new message includes one or more new message terms; determine an n-gram based on the one or more new message terms of the new message; determine a similarity score between the n-gram and the task entry, wherein the similarity score is indicative of a likelihood that the user has interest in associating the n-gram with the task entry; and associate the n-gram with the task entry based on the similarity score. 21. The system of claim 16 , wherein the instructions further include instructions to: identify an input term provided by the user as input to an input task information field of the task information fields; rank the n-gram relative to other n-grams based on similarity between the n-gram and the input term; and provide the n-gram to the user as an autocomplete suggestion for the input term based on the ranking. | 0.553476 |
5. The method of claim 1 , wherein returning the results further comprises: displaying additional information related to the search, the additional information comprising an identification of non-indexed inaccessible information; and displaying a set of indexing options associated with the non-indexed information. | 5. The method of claim 1 , wherein returning the results further comprises: displaying additional information related to the search, the additional information comprising an identification of non-indexed inaccessible information; and displaying a set of indexing options associated with the non-indexed information. 7. The method of claim 5 , wherein the set of indexing options comprises: an indexing cost associated with indexing all accessible non-indexed information related to the search query, wherein the indexing cost comprises a value of computational cost associated with indexing all accessible non-indexed information to increase relevancy of current searches and subsequent searches related to the search query. | 0.833637 |
9. A method as recited in claim 4 , wherein: the multiple classes include a class of acceptable resumes and a class of unacceptable resumes; and the categorizing comprises categorizing the resume into the class of acceptable resumes or into the class of unacceptable resumes. | 9. A method as recited in claim 4 , wherein: the multiple classes include a class of acceptable resumes and a class of unacceptable resumes; and the categorizing comprises categorizing the resume into the class of acceptable resumes or into the class of unacceptable resumes. 10. A method as recited in claim 9 , further comprising: again training the trained classifier using at least one resume that has been categorized into the class of unacceptable resumes. | 0.921224 |
4. The process of claim 1 , wherein the process action of accessing a structured data repository to extract structured data that is available for the original query comprises the actions of: identifying entities and properties that are either explicitly or implicitly present in the original query; for each identified entity, querying the structured data repository to identify types of said entity that are possible, and for each identified type of said entity that is possible, querying the structured data repository to identify properties of said type that are possible; and for each identified property, querying the structured data repository to identify entities that could have said property. | 4. The process of claim 1 , wherein the process action of accessing a structured data repository to extract structured data that is available for the original query comprises the actions of: identifying entities and properties that are either explicitly or implicitly present in the original query; for each identified entity, querying the structured data repository to identify types of said entity that are possible, and for each identified type of said entity that is possible, querying the structured data repository to identify properties of said type that are possible; and for each identified property, querying the structured data repository to identify entities that could have said property. 5. The process of claim 4 , wherein whenever one or more entities are identified to be either explicitly or implicitly present in the original query, the process action of providing the extracted structured data to the user in the form of a hierarchical menu which allows the user to interactively modify the original query comprises the actions of: providing the user with a first user-selectable menu of the identified entities; whenever the user selects an entity from the first user-selectable menu, providing the user with a second user-selectable menu of the identified types of the selected entity; whenever the user selects a type of the selected entity from the second user-selectable menu, providing the user with a third user-selectable menu of the identified properties of the selected type of the selected entity; and whenever the user selects a property of the selected type of the selected entity from the third user-selectable menu, using the selected entity, the selected type of said entity, and the selected property of said type to generate the revised query. | 0.614692 |
2. The method of claim 1 , wherein determining if said page is inverted or non-inverted includes: generating a per text line difference value, said per text line difference value being said difference between the first count of foreground pixels in the first portion of said current line of text and the second count of foreground pixels in the second portion of said current line of text. | 2. The method of claim 1 , wherein determining if said page is inverted or non-inverted includes: generating a per text line difference value, said per text line difference value being said difference between the first count of foreground pixels in the first portion of said current line of text and the second count of foreground pixels in the second portion of said current line of text. 3. The method of claim 2 , wherein determining if said page is inverted or non-inverted further includes: updating a cumulative difference value based on said per text line difference value. | 0.866053 |
7. A computer-implemented method, comprising: under control of one or more processors configured with executable instructions, receiving, from a device of an author and via a content ingestion service associated with a network, an electronic book having first body text and first metadata; normalizing the electronic book by at least one of removing illustrations from the electronic book, removing extraneous characters from the electronic book, or converting characters of the electronic book to a single case; comparing the first metadata of the electronic book with second metadata corresponding to other books to identify one or more candidate title sets of which the electronic book may be a member; determining that a number of the one or more candidate title sets meets or exceeds a pre-determined number of candidate title sets; and based at least partly on the determining that the number of the one or more candidate title sets meets or exceeds the pre-determined number of candidate title sets, comparing the first body text of the electronic book with second body text of the one or more candidate title sets to determine that the electronic book is a member of the one or more candidate title sets. | 7. A computer-implemented method, comprising: under control of one or more processors configured with executable instructions, receiving, from a device of an author and via a content ingestion service associated with a network, an electronic book having first body text and first metadata; normalizing the electronic book by at least one of removing illustrations from the electronic book, removing extraneous characters from the electronic book, or converting characters of the electronic book to a single case; comparing the first metadata of the electronic book with second metadata corresponding to other books to identify one or more candidate title sets of which the electronic book may be a member; determining that a number of the one or more candidate title sets meets or exceeds a pre-determined number of candidate title sets; and based at least partly on the determining that the number of the one or more candidate title sets meets or exceeds the pre-determined number of candidate title sets, comparing the first body text of the electronic book with second body text of the one or more candidate title sets to determine that the electronic book is a member of the one or more candidate title sets. 13. The computer-implemented method of claim 7 , wherein: the first metadata of the electronic book and the second metadata corresponding to the other electronic books indicate respective titles of the electronic book and the other electronic books; and the method further comprising normalizing the first metadata prior to comparing the first metadata. | 0.797809 |
19. The database of claim 18 further comprising: computer usable program code for cross-linking a network of outcomes to the network of interactions. | 19. The database of claim 18 further comprising: computer usable program code for cross-linking a network of outcomes to the network of interactions. 20. The database of claim 19 further comprising: computer usable program code for establishing a network of causations among the network of outcomes and the network of interactions; and computer usable program code for establishing a plurality of probabilities of corresponding causations in the network of causations at each node of network of interactions. | 0.928547 |
1. A method for determining an emotional state of a user, comprising: extracting features including one or more acoustic features, visual features, linguistic features, physical feature s from signals obtained by one or more sensors with a processor; analyzing the features including the acoustic features, visual features, linguistic features, and physical features with one or more machine learning algorithms implemented on a processor; wherein analyzing the acoustic features, visual features, linguistic features, and physical features includes use of separate machine learning algorithms for the acoustic, visual, linguistic, and physical features; wherein a first machine learning algorithm provides feedback to a second machine learning algorithm in a serial fashion; and extracting an emotional state of the user from analysis of the features including analysis of the acoustic features, visual features, linguistic features, and physical features with the one or more machine learning algorithms. | 1. A method for determining an emotional state of a user, comprising: extracting features including one or more acoustic features, visual features, linguistic features, physical feature s from signals obtained by one or more sensors with a processor; analyzing the features including the acoustic features, visual features, linguistic features, and physical features with one or more machine learning algorithms implemented on a processor; wherein analyzing the acoustic features, visual features, linguistic features, and physical features includes use of separate machine learning algorithms for the acoustic, visual, linguistic, and physical features; wherein a first machine learning algorithm provides feedback to a second machine learning algorithm in a serial fashion; and extracting an emotional state of the user from analysis of the features including analysis of the acoustic features, visual features, linguistic features, and physical features with the one or more machine learning algorithms. 14. The method of claim 1 , wherein the physical features include heart rate, blood pressure, respiration rate, skin moisture, grip an object, depth and pace of breath, serotonin level, epinephrine level, skin moisture level, skin temperature, pressure in hands/fingers/wrist, level of saliva, level of hormones in enzymes in saliva, level of enzymes in saliva, or skin conductance. | 0.550659 |
12. One or more non-transitory computer readable storage mediums storing one or more sequences of instructions, which when executed by one or more processors, causes automatic refinement of a template warehouse star schema, by performing the steps of: automatically comparing a customized source database with a baseline template warehouse to gather a custom information selected from i) a data type or a length of custom columns, ii) frequently used expressions on custom columns, iii) custom entities or information on constituent columns of the custom entities, iv) custom entity keys, v) relationships of custom entities with other entities, vi) relationships within custom entities, vii) a contribution of custom entities to specialized entities, viii) an update frequency of custom entities and columns, ix) a grouping of custom entity and column updates, and x) a contribution of custom entities and columns to workflows and correlated attributes, wherein the custom information is gathered based on a combination of a usage analysis technique by automatically analyzing queries on the custom source database, a data profiling technique by automatically analyzing data in the custom source database and an operational reporting environment analysis technique by automatically analyzing an underlying model and queries in operational reports; automatically determining facts by determining frequently updated numeric non key custom columns and the custom entities; automatically determining dimensions by determining non-numeric custom columns and the custom entities that are infrequently updated and that are linked to the facts by foreign keys; automatically determining dimension hierarchies based on hierarchical relationships within custom entities determined to be dimensions; and automatically suggesting at least one of (i) subsumption of a custom entity into an entity of the template warehouse star schema based on a type of mapped target of related entities, a column type of the custom entity or an update frequency of the custom entity if the custom entity is related to the entity of the template warehouse star schema, (ii) creation of new facts or dimensions for the custom entity based on a column type of the custom entity or an update frequency of the custom entity if the custom entity is a standalone entity, or (iii) creation of specialized entities or augmentation of specialized entities in the template warehouse star schema if the custom entity is related to a currency or a unit of measure. | 12. One or more non-transitory computer readable storage mediums storing one or more sequences of instructions, which when executed by one or more processors, causes automatic refinement of a template warehouse star schema, by performing the steps of: automatically comparing a customized source database with a baseline template warehouse to gather a custom information selected from i) a data type or a length of custom columns, ii) frequently used expressions on custom columns, iii) custom entities or information on constituent columns of the custom entities, iv) custom entity keys, v) relationships of custom entities with other entities, vi) relationships within custom entities, vii) a contribution of custom entities to specialized entities, viii) an update frequency of custom entities and columns, ix) a grouping of custom entity and column updates, and x) a contribution of custom entities and columns to workflows and correlated attributes, wherein the custom information is gathered based on a combination of a usage analysis technique by automatically analyzing queries on the custom source database, a data profiling technique by automatically analyzing data in the custom source database and an operational reporting environment analysis technique by automatically analyzing an underlying model and queries in operational reports; automatically determining facts by determining frequently updated numeric non key custom columns and the custom entities; automatically determining dimensions by determining non-numeric custom columns and the custom entities that are infrequently updated and that are linked to the facts by foreign keys; automatically determining dimension hierarchies based on hierarchical relationships within custom entities determined to be dimensions; and automatically suggesting at least one of (i) subsumption of a custom entity into an entity of the template warehouse star schema based on a type of mapped target of related entities, a column type of the custom entity or an update frequency of the custom entity if the custom entity is related to the entity of the template warehouse star schema, (ii) creation of new facts or dimensions for the custom entity based on a column type of the custom entity or an update frequency of the custom entity if the custom entity is a standalone entity, or (iii) creation of specialized entities or augmentation of specialized entities in the template warehouse star schema if the custom entity is related to a currency or a unit of measure. 13. The one or more non-transitory computer readable storage mediums storing one or more sequences of instructions of claim 12 , which when executed by the one or more processors further causes automatic refinement of measures in the template warehouse with frequently used expressions on new custom columns, wherein the refining comprises automatically flagging measures involving dropped or modified columns or entities for review. | 0.662189 |
5. The system of claim 1 , further comprising: an interface to a software reconfigurable physical emulation system for providing emulated operation and measured emulation data at the end of an emulation time interval. | 5. The system of claim 1 , further comprising: an interface to a software reconfigurable physical emulation system for providing emulated operation and measured emulation data at the end of an emulation time interval. 6. The system of claim 5 , wherein the data visualization system superimposes the display of the emulated operation on a graphical depiction of the modeled system as described by the specification file, the display of the emulated operation responsive to the measured emulation data. | 0.89186 |
26. The method of claim 19 , wherein said event associated with said domain name comprises a change in a registration information of said domain name. | 26. The method of claim 19 , wherein said event associated with said domain name comprises a change in a registration information of said domain name. 28. The method of claim 26 , wherein said change in said registration information comprises a change in the domain name DNS information. | 0.89526 |
16. A system for correcting spelling of at least one candidate word, said system comprising: a memory; and at least one hardware processor, coupled to the memory, operative to: obtain at least one variant dictionary hash table based on variants of a set of known correctly spelled words, wherein said variants are obtained by applying one or more of a deletion, insertion, replacement, and transposition operation on said correctly spelled words, wherein said variants obtained by applying one or more of an insertion and replacement operation on said correctly spelled words comprise a wildcard character, wherein for a given correctly spelled word having a length W, said at least one variant dictionary hash table comprises W of said variants each comprising said wildcard character in a different position, and wherein said variants are stored in said at least one variant dictionary hash table and are mapped to one of said corresponding correctly spelled words from said set of known correctly spelled words which are stored in a dictionary hash table that is distinct from said at least one variant dictionary hash table; perform one or more of a deletion, insertion, replacement, and transposition operation on the at least one candidate word to obtain one or more lookup variants, wherein said lookup variants obtained by applying one or more of an insertion and replacement operation on said at least one candidate word comprise a wildcard character; evaluate one or more of said lookup variants utilizing said at least one variant dictionary hash table to identify matches; and indicate a candidate correction if said evaluation step indicates that there is at least one match in the at least one variant dictionary hash table. | 16. A system for correcting spelling of at least one candidate word, said system comprising: a memory; and at least one hardware processor, coupled to the memory, operative to: obtain at least one variant dictionary hash table based on variants of a set of known correctly spelled words, wherein said variants are obtained by applying one or more of a deletion, insertion, replacement, and transposition operation on said correctly spelled words, wherein said variants obtained by applying one or more of an insertion and replacement operation on said correctly spelled words comprise a wildcard character, wherein for a given correctly spelled word having a length W, said at least one variant dictionary hash table comprises W of said variants each comprising said wildcard character in a different position, and wherein said variants are stored in said at least one variant dictionary hash table and are mapped to one of said corresponding correctly spelled words from said set of known correctly spelled words which are stored in a dictionary hash table that is distinct from said at least one variant dictionary hash table; perform one or more of a deletion, insertion, replacement, and transposition operation on the at least one candidate word to obtain one or more lookup variants, wherein said lookup variants obtained by applying one or more of an insertion and replacement operation on said at least one candidate word comprise a wildcard character; evaluate one or more of said lookup variants utilizing said at least one variant dictionary hash table to identify matches; and indicate a candidate correction if said evaluation step indicates that there is at least one match in the at least one variant dictionary hash table. 18. The system of claim 16 , wherein said dictionary hash table is pre-created prior to obtaining said candidate word, further comprising the step of obtaining said dictionary hash table having entries in a dictionary or known correctly spelled words and wherein said dictionary hash table and said at least one variant dictionary hash table are based on said dictionary and are comprised of at least one distance one variation for each of said entries, wherein said distance one variation comprises one or more of a deletion, insertion, replacement, and transposition operation performed on said entries; and wherein the step of evaluating said lookup variants utilizing said at least one variant dictionary hash table further comprises the step of evaluating one or more distance one variants utilizing said at least one variant dictionary hash table. | 0.5 |
1. A computer-implemented method for selecting objects for importation, each object including data and related processes, the method comprising: receiving a search query including an object type, the object type identifying two or more key fields that uniquely identify the object type specified in the search query; receiving a filter selection, including receiving a selection of one or more filtering parameters of the specified object type and receiving values of the selected filtering parameters; searching a database and identifying objects that have the identified two or more key fields and meet the filter selection, wherein the identified objects comprise data and at least one related process; and returning a result to a user indicating the identified objects. | 1. A computer-implemented method for selecting objects for importation, each object including data and related processes, the method comprising: receiving a search query including an object type, the object type identifying two or more key fields that uniquely identify the object type specified in the search query; receiving a filter selection, including receiving a selection of one or more filtering parameters of the specified object type and receiving values of the selected filtering parameters; searching a database and identifying objects that have the identified two or more key fields and meet the filter selection, wherein the identified objects comprise data and at least one related process; and returning a result to a user indicating the identified objects. 2. The computer-implemented method of claim 1 , further comprising: receiving a selection of the identified objects; and importing the selected objects from the database. | 0.593412 |
15. A computer system for facilitating a universal file conversion hub to convert structured or unstructured data to structured data suitable for display on mobile or hand-held devices, the computer system comprising: a processor; a memory; a receiving mechanism configured to receive a file which contains structured or unstructured data, or a mixture of both; a file-type detection mechanism configured to determine a type of the received file; a file analyzer configured to analyze content, formatting style, or both, of the received file based on the file type; a file generation mechanism configured to generate a processable extensible markup language file, wherein the processable extensible markup language file retains a layout of the received file, thereby facilitating display of the file on mobile or hand-held devices; and an element defining mechanism configured to define the following elements in the processable extensible markup language: XMLSTREAM, HEAD, DMETATAGS, DMETA, EMETATAGS, EMETA, DSTYLES, DSTYLE, DSTRUCTURE, BODY, SECTION, PAGE, PARAGRAPH, SPECIALTEXT, TEXT, IMAGE, LINK, FOOTNOTE, ENDNOTE, HEADER, FOOTER, ANCHOR, TAB, HR, MARKER, TABLE, TGROUP, TBODY, THEAD, TFOOT, ROW, CELL, COLUMN, COLUMN-DEF, LIST, LI, LABEL, BLOCKQUOTE, PRE, BREAK, FRAME, SVG, FIELD, and INDEXITEM; wherein each element has one or more of the following attributes: style, css-style, number, font, font-size, font-fixed, origfont, emphasis, emphasis-bold, emphasis-italic, emphasis-underline, emphasis-superscript, emphasis-subscript, x, y, height, width, top, left, align, valign, leftindent, rightindent, spacebefore, spaceafter, textindent, border-left, border-right, border-top, border-bottom, top-padding, left-padding, right-padding, bottom-padding, rowspan, colspan, width-type, and height-type. | 15. A computer system for facilitating a universal file conversion hub to convert structured or unstructured data to structured data suitable for display on mobile or hand-held devices, the computer system comprising: a processor; a memory; a receiving mechanism configured to receive a file which contains structured or unstructured data, or a mixture of both; a file-type detection mechanism configured to determine a type of the received file; a file analyzer configured to analyze content, formatting style, or both, of the received file based on the file type; a file generation mechanism configured to generate a processable extensible markup language file, wherein the processable extensible markup language file retains a layout of the received file, thereby facilitating display of the file on mobile or hand-held devices; and an element defining mechanism configured to define the following elements in the processable extensible markup language: XMLSTREAM, HEAD, DMETATAGS, DMETA, EMETATAGS, EMETA, DSTYLES, DSTYLE, DSTRUCTURE, BODY, SECTION, PAGE, PARAGRAPH, SPECIALTEXT, TEXT, IMAGE, LINK, FOOTNOTE, ENDNOTE, HEADER, FOOTER, ANCHOR, TAB, HR, MARKER, TABLE, TGROUP, TBODY, THEAD, TFOOT, ROW, CELL, COLUMN, COLUMN-DEF, LIST, LI, LABEL, BLOCKQUOTE, PRE, BREAK, FRAME, SVG, FIELD, and INDEXITEM; wherein each element has one or more of the following attributes: style, css-style, number, font, font-size, font-fixed, origfont, emphasis, emphasis-bold, emphasis-italic, emphasis-underline, emphasis-superscript, emphasis-subscript, x, y, height, width, top, left, align, valign, leftindent, rightindent, spacebefore, spaceafter, textindent, border-left, border-right, border-top, border-bottom, top-padding, left-padding, right-padding, bottom-padding, rowspan, colspan, width-type, and height-type. 20. The computer system of claim 15 , wherein the received file includes a piece of program source code. | 0.67956 |
13. A computer-implemented method that, when executed by a computing device, generates a search results page having one or more search results and relevant information associated with a target search result that is based on a user-inputted query, the method comprising: receiving a first query on a search page; identifying from a database a first target search result that best corresponds to the first query and a first functional tool associated with the first target search result that allows a user to directly interact with a webpage corresponding to the first target search result, wherein the first function tool is associated only with the first target search result such that input into the first functional tool only allows for interaction with the webpage corresponding to the first target search result, wherein the first functional tool includes one or more input boxes that allow for a user to provide input, and wherein the one or more input boxes are located on a portion of the search results page that corresponds to the first target search result; on a first search results page that includes the first target search result and the first functional tool, receiving the input from the user into the one or more input boxes, wherein a response page associated with the first target search result is then displayed; receiving a second query on the search page; identifying from the database a second target search result that best corresponds to the second query and a second functional tool associated with the second target search result; and on a second search results page that includes the second target search result and the second functional tool, automatically populating the one or more input boxes of the second functional tool with the input that the user previously entered into the first functional tool, wherein the one or more input boxes in the first and second functional tools are requesting the same input from the user. | 13. A computer-implemented method that, when executed by a computing device, generates a search results page having one or more search results and relevant information associated with a target search result that is based on a user-inputted query, the method comprising: receiving a first query on a search page; identifying from a database a first target search result that best corresponds to the first query and a first functional tool associated with the first target search result that allows a user to directly interact with a webpage corresponding to the first target search result, wherein the first function tool is associated only with the first target search result such that input into the first functional tool only allows for interaction with the webpage corresponding to the first target search result, wherein the first functional tool includes one or more input boxes that allow for a user to provide input, and wherein the one or more input boxes are located on a portion of the search results page that corresponds to the first target search result; on a first search results page that includes the first target search result and the first functional tool, receiving the input from the user into the one or more input boxes, wherein a response page associated with the first target search result is then displayed; receiving a second query on the search page; identifying from the database a second target search result that best corresponds to the second query and a second functional tool associated with the second target search result; and on a second search results page that includes the second target search result and the second functional tool, automatically populating the one or more input boxes of the second functional tool with the input that the user previously entered into the first functional tool, wherein the one or more input boxes in the first and second functional tools are requesting the same input from the user. 14. The method of claim 13 , wherein the input populated into the first functional tool is stored in a cookie such that it can be retrieved at a later time and used to populate the second functional tool. | 0.574756 |
1. A method for enabling an application for Conversational Understanding (CU) using assets in a CU service, comprising: receiving a natural language sentence; processing the natural language sentence to determine one or more domains in a domain model that are associated with the natural language sentence; determining one or more actions that are associated with each of the one or more domains; determining, whether an additional domain should be added to the domain model based, at least in part, on the determined actions; when it is determined that an additional domain should be added to the domain model, automatically updating the domain model with the additional domain and the determined actions; and providing the domain model to the CU service. | 1. A method for enabling an application for Conversational Understanding (CU) using assets in a CU service, comprising: receiving a natural language sentence; processing the natural language sentence to determine one or more domains in a domain model that are associated with the natural language sentence; determining one or more actions that are associated with each of the one or more domains; determining, whether an additional domain should be added to the domain model based, at least in part, on the determined actions; when it is determined that an additional domain should be added to the domain model, automatically updating the domain model with the additional domain and the determined actions; and providing the domain model to the CU service. 8. The method of claim 1 , further comprising incorporating the domain model into the CU service. | 0.649949 |
12. A system comprising: token generation logic configured to generate a sequence of tokens using at least one processor, each token being an integer representation of a respective sequence of characters that is included in a style sheet, each token corresponding to a respective character position that indicates a position of that token in the style sheet; token identification logic configured to identify a designated token in the sequence of tokens that includes a user-initiated change, the designated token following a first subset of the tokens in the sequence of tokens and preceding a second subset of the tokens in the sequence of tokens; and determination logic configured to determine whether the user-initiated change is identified as a type of change that changes no attributes, other than the character positions, of the tokens in the second subset of the tokens, the determination logic further configured to determine that the second subset of the tokens is not to be re-tokenized in response to the user-initiated change being identified as a type of change that changes no attributes, other than the character positions, of the tokens in the second subset of the tokens, the determination logic further configured to determine that the second subset of the tokens is to be re-tokenized in response to the user-initiated change not being identified as a type of change that changes no attributes, other than the character positions, of the tokens in the second subset of the tokens. | 12. A system comprising: token generation logic configured to generate a sequence of tokens using at least one processor, each token being an integer representation of a respective sequence of characters that is included in a style sheet, each token corresponding to a respective character position that indicates a position of that token in the style sheet; token identification logic configured to identify a designated token in the sequence of tokens that includes a user-initiated change, the designated token following a first subset of the tokens in the sequence of tokens and preceding a second subset of the tokens in the sequence of tokens; and determination logic configured to determine whether the user-initiated change is identified as a type of change that changes no attributes, other than the character positions, of the tokens in the second subset of the tokens, the determination logic further configured to determine that the second subset of the tokens is not to be re-tokenized in response to the user-initiated change being identified as a type of change that changes no attributes, other than the character positions, of the tokens in the second subset of the tokens, the determination logic further configured to determine that the second subset of the tokens is to be re-tokenized in response to the user-initiated change not being identified as a type of change that changes no attributes, other than the character positions, of the tokens in the second subset of the tokens. 18. The system of claim 12 , wherein the token generation logic is further configured to assign a plurality of specified subsets of the tokens that are included in the sequence of tokens to a plurality of respective hierarchical node trees, each hierarchical node tree defined by a plurality of hierarchical levels that includes a plurality of respective subsets of a plurality of nodes among which the tokens in the respective specified subset are included, each node in the plurality of nodes having a respective character position that indicates a position of that node in the style sheet. | 0.671148 |
13. A method of identifying one or more document within a collection of documents, the method being performed by a computer system that comprises one or more processors, a memory operatively coupled to at least one of the processors, and a computer-readable storage medium encoded with instructions executable by at least one of the processors and operatively coupled to at least one of the processors, the method comprising: storing in the memory a search level that is a whole number that is at least two; storing in the memory a definition of a subset of a collection of electronic documents, the collection of documents comprising a plurality of documents, and the subset comprising one or more source documents within the collection and one or more additional documents within the collection, the one or more additional documents being identifiable by a process carried out for a number of iterations equal to the search level and comprising: (1) a first iteration that comprises finding one or more citing documents within the collection, each citing document comprising at least one reference to at least one of the electronic source documents, and adding to the subset each of the found citing documents that is not already in the subset, and (2) one or more subsequent iterations, each of which comprises finding one or more citing documents within the collection, each citing document comprising at least one reference to at least one of the documents added to the subset in the immediately previous iteration, and adding to the subset each of the found citing documents that is not already in the subset, at least one of the processors receiving through at least one interface operatively coupled to the processor a definition of a search query through an interface operatively coupled to at least one of the processors, the search query comprising one or more criteria that a user has explicitly entered, and the search query having an association with a topical area for a search; at least one of the processors executing instructions retrieved from the computer readable storage medium to (i) identify all responsive documents within the subset that satisfy the one or more criteria comprised by the search query such that each responsive document includes each of the one or more criteria of the search query, (ii) retrieve a definition of a search space, the definition of the search space comprising one or more normalized citations to every document within the search space, and the search space having an association with the topical area for the search, (iii) filter the responsive documents resulting from the execution of the search query by checking each responsive document against the definition of the search space and (iv) removing from further consideration an responsive document not found in the definition of the search space; at least one of the processors executing instructions retrieved from the computer-readable storage medium to transmit through the at least one interface information for display to the user that identifies one or more of the remaining responsive documents. | 13. A method of identifying one or more document within a collection of documents, the method being performed by a computer system that comprises one or more processors, a memory operatively coupled to at least one of the processors, and a computer-readable storage medium encoded with instructions executable by at least one of the processors and operatively coupled to at least one of the processors, the method comprising: storing in the memory a search level that is a whole number that is at least two; storing in the memory a definition of a subset of a collection of electronic documents, the collection of documents comprising a plurality of documents, and the subset comprising one or more source documents within the collection and one or more additional documents within the collection, the one or more additional documents being identifiable by a process carried out for a number of iterations equal to the search level and comprising: (1) a first iteration that comprises finding one or more citing documents within the collection, each citing document comprising at least one reference to at least one of the electronic source documents, and adding to the subset each of the found citing documents that is not already in the subset, and (2) one or more subsequent iterations, each of which comprises finding one or more citing documents within the collection, each citing document comprising at least one reference to at least one of the documents added to the subset in the immediately previous iteration, and adding to the subset each of the found citing documents that is not already in the subset, at least one of the processors receiving through at least one interface operatively coupled to the processor a definition of a search query through an interface operatively coupled to at least one of the processors, the search query comprising one or more criteria that a user has explicitly entered, and the search query having an association with a topical area for a search; at least one of the processors executing instructions retrieved from the computer readable storage medium to (i) identify all responsive documents within the subset that satisfy the one or more criteria comprised by the search query such that each responsive document includes each of the one or more criteria of the search query, (ii) retrieve a definition of a search space, the definition of the search space comprising one or more normalized citations to every document within the search space, and the search space having an association with the topical area for the search, (iii) filter the responsive documents resulting from the execution of the search query by checking each responsive document against the definition of the search space and (iv) removing from further consideration an responsive document not found in the definition of the search space; at least one of the processors executing instructions retrieved from the computer-readable storage medium to transmit through the at least one interface information for display to the user that identifies one or more of the remaining responsive documents. 14. The method of claim 13 , comprising: at least one of the processors executing instructions retrieved from the computer-readable storage medium to compute rankings of the identified responsive documents, the computed ranking of each respective identified responsive document depending at least upon the iteration in which that document would first be added to the subset; and at least one of the processors executing instructions retrieved from the computer-readable storage medium to transmit through one of the interfaces information that identifies a plurality of the responsive documents; wherein the provided information that identifies a plurality of the responsive documents comprises information about the ranking of the identified documents. | 0.528667 |
1. A method of communication comprising: receiving an audio message from a caller to a recipient; transcribing the audio voice message to produce text; providing a text message including the text and a link comprising information that links to a conversion system capable of converting speech to text and an identifier indicating a destination for a reply message, such that when the recipient selects the link, the recipient is connected to the conversion system to speak the reply message that is automatically transcribed into a reply text message and provided to the destination associated with the identifier; and transmitting the text message to a mobile device of the recipient. | 1. A method of communication comprising: receiving an audio message from a caller to a recipient; transcribing the audio voice message to produce text; providing a text message including the text and a link comprising information that links to a conversion system capable of converting speech to text and an identifier indicating a destination for a reply message, such that when the recipient selects the link, the recipient is connected to the conversion system to speak the reply message that is automatically transcribed into a reply text message and provided to the destination associated with the identifier; and transmitting the text message to a mobile device of the recipient. 3. The method of claim 1 , in which the identifier for the destination includes a telephone number, email address, IP address, IM address, and/or VoIP address. | 0.761574 |
15. One or more computer storage media having computer-executable instructions, the computer storage media being a hardware storage media, the instructions, when executed, perform steps, comprising: receiving a query image; determining a visual word vector for the query image; determining a visual pattern vector for the query image; determining similarity with each image of a set of database images, including, for each image of the set of database images, computing a first similarity score by evaluating the visual word vector for the query image with a visual word vector for each database image and computing a second similarity score by evaluating the visual pattern vector for the query image with a visual pattern vector for each database image; and using the first and second similarity scores according to a usage model by ranking the set of database images based on one of the first and second similarity scores, and re-ranking a selected set of highest ranked database images in the set of database images based on another of the first and second similarity score. | 15. One or more computer storage media having computer-executable instructions, the computer storage media being a hardware storage media, the instructions, when executed, perform steps, comprising: receiving a query image; determining a visual word vector for the query image; determining a visual pattern vector for the query image; determining similarity with each image of a set of database images, including, for each image of the set of database images, computing a first similarity score by evaluating the visual word vector for the query image with a visual word vector for each database image and computing a second similarity score by evaluating the visual pattern vector for the query image with a visual pattern vector for each database image; and using the first and second similarity scores according to a usage model by ranking the set of database images based on one of the first and second similarity scores, and re-ranking a selected set of highest ranked database images in the set of database images based on another of the first and second similarity score. 17. The one or more computer storage media of claim 15 having further computer-executable instructions comprising, expanding a query visual word of the query image to a set of visual words that are visual synonyms with the query visual word. | 0.804515 |
9. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, determine context information for rendering a geographic map on a user interface of a device, wherein the context information includes a recent history of online searches, recently viewed websites, one or more keywords in recent communications with contacts of a user of the device, or a combination thereof collected at the device; classify a plurality of objects available for display in the geographic map based on a level of importance of each of the objects to the user with respect to the context information; in response to a change of semantic zoom levels selected by the user, prioritize rendering of the objects based on the classification; and initiate a rendering of the objects in the geographic map based, at least in part, on the prioritization and a temporal order using a vector rendering engine, while displaying an identical physical area in the geographic map. | 9. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, determine context information for rendering a geographic map on a user interface of a device, wherein the context information includes a recent history of online searches, recently viewed websites, one or more keywords in recent communications with contacts of a user of the device, or a combination thereof collected at the device; classify a plurality of objects available for display in the geographic map based on a level of importance of each of the objects to the user with respect to the context information; in response to a change of semantic zoom levels selected by the user, prioritize rendering of the objects based on the classification; and initiate a rendering of the objects in the geographic map based, at least in part, on the prioritization and a temporal order using a vector rendering engine, while displaying an identical physical area in the geographic map. 11. An apparatus of claim 9 , wherein the apparatus is further caused to: determine display information about the user interface of the device; determine detail capacity associated with a total amount of detail that can be presented in the user interface; and allocate 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. | 0.530498 |
8. A computer readable medium having instruction stored thereon that, when executed by one or more computers, causes the one or more computers to perform operations comprising: obtaining aggregate document usage information provided by a plurality of users for a first document wherein the document usage information represents interactions of the plurality of users with a same specific position within the first document wherein the document usage information includes an amount of time that the plurality of users spent accessing the position in the document; receiving a query submitted by a user of a computer system; obtaining search results responsive to the query wherein each search result identifies a respective document and wherein at least one of the search results identifies the first document; ordering the search results based on, at least, the document usage information; and after the ordering, providing the search results to the computer system. | 8. A computer readable medium having instruction stored thereon that, when executed by one or more computers, causes the one or more computers to perform operations comprising: obtaining aggregate document usage information provided by a plurality of users for a first document wherein the document usage information represents interactions of the plurality of users with a same specific position within the first document wherein the document usage information includes an amount of time that the plurality of users spent accessing the position in the document; receiving a query submitted by a user of a computer system; obtaining search results responsive to the query wherein each search result identifies a respective document and wherein at least one of the search results identifies the first document; ordering the search results based on, at least, the document usage information; and after the ordering, providing the search results to the computer system. 13. The computer readable medium of claim 8 wherein a rank of the first document in the order is based on, a least, the amount of time. | 0.565157 |
1. A method for providing one or more translations in a real-time video feed of a first language into a second language, comprising: providing an interface for selecting a vertical language text translation box corresponding to one or more words in the first language, wherein the first language is an Asian language comprising a plurality of characters having a vertical alignment; cropping a frame of the real-time video feed of the one or more words of the first language to fit inside the vertical language text translation box to produce a cropped frame; performing character segment detection on the cropped frame to produce a plurality character segments; performing character merging on the character segments to produce a plurality of merged character segments; performing character recognition on the merged character segments to produce a plurality of recognized characters; performing one or more translations on the recognized characters of the first language into one or more translated words of the second language; and displaying the translated words of the second language in augmented reality in the real-time video feed. | 1. A method for providing one or more translations in a real-time video feed of a first language into a second language, comprising: providing an interface for selecting a vertical language text translation box corresponding to one or more words in the first language, wherein the first language is an Asian language comprising a plurality of characters having a vertical alignment; cropping a frame of the real-time video feed of the one or more words of the first language to fit inside the vertical language text translation box to produce a cropped frame; performing character segment detection on the cropped frame to produce a plurality character segments; performing character merging on the character segments to produce a plurality of merged character segments; performing character recognition on the merged character segments to produce a plurality of recognized characters; performing one or more translations on the recognized characters of the first language into one or more translated words of the second language; and displaying the translated words of the second language in augmented reality in the real-time video feed. 2. The method of claim 1 , further comprising additional pre-processing steps before the step of performing the character segment detection, the pre-processing steps comprising: deciding a threshold type and performing binarization on the cropped frame to produce a binary frame; performing connected component analysis on the binary frame to produce analyzed connected components; and de-noising analyzed connected components in the binary frame before performing the character segment detection on the binary frame. | 0.545925 |
1. A system for enabling a business process engine to invoke a web browser as a web service server, the system comprising one or more computers configured to implement: a communication server coupled to a communication network to send information to and receive information from a web browser; a business process engine configured to implement at least one business process comprising a plurality of activities, the business process engine configured to send web service requests in a web service format and to receive web service responses in the web service format; a plurality of page templates predefined in accordance with the activities of the business process; and a servlet configured to: receive, from the business process engine, a particular web service request that is associated with a particular activity of the business process and that is intended for the web browser; determine a particular page template that is associated with the particular activity; cause the particular web service request to be converted, in accordance with the particular page template, from the web service format into a particular web page that is in a web page format that can be processed by the web browser; cause the particular web page to be sent by the communication server to the web browser; receive, via the communication server, a response from the web browser; convert the response into a particular web service response that is in the web service format; and provide the particular web service response to the business process engine as a response to the particular web service request, thereby, enabling the business process engine to invoke the web browser as a web service server. | 1. A system for enabling a business process engine to invoke a web browser as a web service server, the system comprising one or more computers configured to implement: a communication server coupled to a communication network to send information to and receive information from a web browser; a business process engine configured to implement at least one business process comprising a plurality of activities, the business process engine configured to send web service requests in a web service format and to receive web service responses in the web service format; a plurality of page templates predefined in accordance with the activities of the business process; and a servlet configured to: receive, from the business process engine, a particular web service request that is associated with a particular activity of the business process and that is intended for the web browser; determine a particular page template that is associated with the particular activity; cause the particular web service request to be converted, in accordance with the particular page template, from the web service format into a particular web page that is in a web page format that can be processed by the web browser; cause the particular web page to be sent by the communication server to the web browser; receive, via the communication server, a response from the web browser; convert the response into a particular web service response that is in the web service format; and provide the particular web service response to the business process engine as a response to the particular web service request, thereby, enabling the business process engine to invoke the web browser as a web service server. 10. The system as in claim 1 , wherein the business process engine further comprises an interface with a database and is operable to retrieve data from the database. | 0.62845 |
37. A system, comprising: a host computing device including a machine learning network, the host computing device initializing at least one of i) nodes in the network and ii) connections between the nodes, to a respective predetermined strength value, the host computing device outputting questions, each question corresponding to at least one of the connections; and a plurality of client computing devices receiving the questions, the client computing devices transmitting guesstimates from users thereof in response to the questions, wherein the host computing device adjusts the predetermined strength value as a function of the guesstimates, and wherein the network is a consensus network and the users are able to combine their own guesstimates with those of other users to develop and evaluate the network. | 37. A system, comprising: a host computing device including a machine learning network, the host computing device initializing at least one of i) nodes in the network and ii) connections between the nodes, to a respective predetermined strength value, the host computing device outputting questions, each question corresponding to at least one of the connections; and a plurality of client computing devices receiving the questions, the client computing devices transmitting guesstimates from users thereof in response to the questions, wherein the host computing device adjusts the predetermined strength value as a function of the guesstimates, and wherein the network is a consensus network and the users are able to combine their own guesstimates with those of other users to develop and evaluate the network. 42. The system according to claim 37 , wherein the machine learning network executes at least one of the following types of machine learning algorithms, rules, trees and decision strategies: Bayesnet, ComplementNaiveBayes, NaiveBayes, NaiveBayesMultinomial, NaiveBayesSimple, NaiveBayesUpdateable, HillClimber, RepeatedHillClimber, SimulatedAnnealing, TabuSearch, Logistic, SimpleLogistic, MultilayerPerceptron, VotedPerceptron, RBFNetwork, SMO, lazy.IB1, lazy.KStar, AdaBoostM1, ConjunctiveRule, DecisionTable, JRip, NNge, OneR, PART, ZeroR, J48, LMT, NBTree, RandomForest, RandomTree, REPTree, meta.AttributeSelectedClassifier, CfsSubsetEval, BestFirst, meta.Bagging, ClassificationViaRegression, M5P, CVParameterSelection, meta.Decorate, meta.FilteredClassifier, ClassOrder, supervised. attribute.AttributeSelection, Discretize, meta. Grading, meta.MultiScheme, MultiBoostAB, DecisionStump, NominalToBinary, OrdinalClassClassifier, meta.LogitBoost, meta.MultiClassClassifier, meta.RacedIncrementalLogitBoost, meta.RandomCommittee, meta.StackingC, meta.Stacking, meta.Vote, HyperPipes, VFI, Ridor and Hebbian learning. | 0.5 |
1. A testing apparatus capable of testing an electronic apparatus comprising: at least one of emulator adapter, each of which has an identification (ID) and a plurality of electrical conductive paths; an emulator module with a slot configured for receiving one of the at least one emulator adapter, wherein each type of the emulator adapter corresponds to a type of electronic apparatuses, and each electrical conductive path of the emulator adapter coupled to the slot of the emulator module is capable of simulating a key input key of the electronic apparatus correspondingly; a storage configured for storing a test table and at least one script, wherein each of the at least one script is assigned a script name for identification, and is configured for testing functions of type of the electronic apparatus, and is further consisted of a plurality of input commands, the test table is configured for recording relationships between the ID of each of the at least one emulator adapter and the corresponding script name of one of the at least one script; and a processing unit comprising: an ID reading module configured for reading the ID of the emulator adapter coupled to the slot of the emulator module; a script name determining module configured for searching for the corresponding script name in the test table according to the ID of the emulator adapter; and a script running module configured for fetching the corresponding script from the storage according to the determined script name, and running the fetched script to pass each of the input commands to the emulator module; wherein the emulator module is further configured for receiving and identifying each of the input commands to conduct a simulated key input via an electrical conductive path, correspondingly to the input command, of the emulator adapter, such that the input key corresponding to the key input of the electronic apparatus is activated and the electronic apparatus performs a function associated with the input key correspondingly. | 1. A testing apparatus capable of testing an electronic apparatus comprising: at least one of emulator adapter, each of which has an identification (ID) and a plurality of electrical conductive paths; an emulator module with a slot configured for receiving one of the at least one emulator adapter, wherein each type of the emulator adapter corresponds to a type of electronic apparatuses, and each electrical conductive path of the emulator adapter coupled to the slot of the emulator module is capable of simulating a key input key of the electronic apparatus correspondingly; a storage configured for storing a test table and at least one script, wherein each of the at least one script is assigned a script name for identification, and is configured for testing functions of type of the electronic apparatus, and is further consisted of a plurality of input commands, the test table is configured for recording relationships between the ID of each of the at least one emulator adapter and the corresponding script name of one of the at least one script; and a processing unit comprising: an ID reading module configured for reading the ID of the emulator adapter coupled to the slot of the emulator module; a script name determining module configured for searching for the corresponding script name in the test table according to the ID of the emulator adapter; and a script running module configured for fetching the corresponding script from the storage according to the determined script name, and running the fetched script to pass each of the input commands to the emulator module; wherein the emulator module is further configured for receiving and identifying each of the input commands to conduct a simulated key input via an electrical conductive path, correspondingly to the input command, of the emulator adapter, such that the input key corresponding to the key input of the electronic apparatus is activated and the electronic apparatus performs a function associated with the input key correspondingly. 4. The testing apparatus as described in claim 1 , wherein the processing unit further comprises a user interface processing module configured for providing a user interface. | 0.51558 |
14. The method of claim 9 , further comprising an act of capturing the sounds captured from the operating environment. | 14. The method of claim 9 , further comprising an act of capturing the sounds captured from the operating environment. 15. The method of claim 14 , wherein the sounds are captured from the operating environment when a user is not interacting with a system in the operating environment. | 0.951084 |
5. The method of claim 1 wherein: the style specifies prosody for the voice mode of user interaction; and rendering, by the multimodal browser, the user output in dependence upon the style further comprises: synthesizing, through the VoiceXML interpreter using the speech engine, the user output into synthesized speech in dependence upon the style, and playing the synthesized speech for the user. | 5. The method of claim 1 wherein: the style specifies prosody for the voice mode of user interaction; and rendering, by the multimodal browser, the user output in dependence upon the style further comprises: synthesizing, through the VoiceXML interpreter using the speech engine, the user output into synthesized speech in dependence upon the style, and playing the synthesized speech for the user. 6. The method of claim 5 further comprising providing, by the speech engine to the multimodal browser through the VoiceXML interpreter, a prosody event in dependence upon the synthesizing of the user output into synthesized speech. | 0.913932 |
1. A computer-implemented method comprising: receiving a package containing multiple files; receiving a request to open a file of the multiple files, the file having a file type, where the file type identifies a distinct data format of data in files of the file type; launching a default application for opening files of the file type; running the default application to identify a plurality of applications in the computing environment that are capable of opening files of the file type, each application in the plurality of applications being associated with the file type based on the file type and file association data; using the default application to select an application from the plurality of identified applications, the selection of the application being based at least in part on context information; and launching the selected application to open the file where the action to open the file is dependent on the file type. | 1. A computer-implemented method comprising: receiving a package containing multiple files; receiving a request to open a file of the multiple files, the file having a file type, where the file type identifies a distinct data format of data in files of the file type; launching a default application for opening files of the file type; running the default application to identify a plurality of applications in the computing environment that are capable of opening files of the file type, each application in the plurality of applications being associated with the file type based on the file type and file association data; using the default application to select an application from the plurality of identified applications, the selection of the application being based at least in part on context information; and launching the selected application to open the file where the action to open the file is dependent on the file type. 8. The method of claim 1 , where the context information includes one or more of file information identifying a location of the file in a file system in the computing environment, where the file information is used to identify applications previously run to open files at the location, file information representing content of the file, or rights management information representing usage rights defining scope of use for applications installed in the computing environment. | 0.54717 |
11. A system for extending content based on the semantic meaning of content, comprising: a dividing unit for semantically dividing the content into at least one of a plurality of content regions; a vector calculation unit for calculating a vector for each of the content regions wherein the vector for each of the content regions is composited based on a term vector table, wherein the term vector table is obtained based on the latent semantic indexing using the dimension reduction operation with a sufficient number of available documents; a relevance score unit for calculating a relevance score between each of the vector of the content regions and each term vector in the term vector table, wherein the relevance score is the cosine value of the angle between each of the vector of the content regions and each term vector in the term vector table; an extending terms selection unit for each of the content regions, selecting a group of extending terms from a group of terms in which the term vectors have the largest relevance scores with the vector of the content region; a rendering unit for rendering the group of extending terms around each of the content regions. | 11. A system for extending content based on the semantic meaning of content, comprising: a dividing unit for semantically dividing the content into at least one of a plurality of content regions; a vector calculation unit for calculating a vector for each of the content regions wherein the vector for each of the content regions is composited based on a term vector table, wherein the term vector table is obtained based on the latent semantic indexing using the dimension reduction operation with a sufficient number of available documents; a relevance score unit for calculating a relevance score between each of the vector of the content regions and each term vector in the term vector table, wherein the relevance score is the cosine value of the angle between each of the vector of the content regions and each term vector in the term vector table; an extending terms selection unit for each of the content regions, selecting a group of extending terms from a group of terms in which the term vectors have the largest relevance scores with the vector of the content region; a rendering unit for rendering the group of extending terms around each of the content regions. 16. The system of claim 11 , wherein the dividing unit further comprising of: a unit for counting number of words in each paragraph sequentially; a unit for totaling number of words in contiguous paragraphs; a unit for comparing the total number of words with a preset threshold value until the total number of words is greater than or equal to the preset threshold value but less than the preset threshold value if not counting last paragraph; a unit for making the contiguous paragraphs as one content region. | 0.528743 |
1. A configurable speech recognizer comprising: a geographic configuration unit to receive roaming indications from a cellular telephone and to process said indications to determine a location associated with said telephone; a recognition manager to select associated search information as a function of said location; and a speech recognition unit to utilize said selected associated search information when recognizing at least one incoming speech signal, the speech recognition unit utilizing the associated search information as hard constraints, the associated search information identifying hard and soft constraints and the speech recognition unit employing the identified hard constraints for recognizing spoken telephone digits in the incoming speech signal, such that the speech recognition unit: determines, based on the determined location, an expected speech pattern indicative of grouping of digits and placement of pauses in the incoming speech signal; and derives the soft constraints limiting an expected entered telephone number defined by the spoken telephone digits. | 1. A configurable speech recognizer comprising: a geographic configuration unit to receive roaming indications from a cellular telephone and to process said indications to determine a location associated with said telephone; a recognition manager to select associated search information as a function of said location; and a speech recognition unit to utilize said selected associated search information when recognizing at least one incoming speech signal, the speech recognition unit utilizing the associated search information as hard constraints, the associated search information identifying hard and soft constraints and the speech recognition unit employing the identified hard constraints for recognizing spoken telephone digits in the incoming speech signal, such that the speech recognition unit: determines, based on the determined location, an expected speech pattern indicative of grouping of digits and placement of pauses in the incoming speech signal; and derives the soft constraints limiting an expected entered telephone number defined by the spoken telephone digits. 11. The recognizer according to claim 1 and wherein said associated search information comprises expected pronunciations. | 0.538039 |
9. An apparatus comprising: one or more processors; and one or more memories storing instructions which, when processed by one or more processors, cause: an information service receiving, over one or more communications networks from a client device, one or more alphanumeric keywords, wherein both the one or more alphanumeric keywords and an information service indicator that uniquely identifies the information service are displayed to a user of the client device in visual content on a non-Web page medium; the information service identifying, at a first time, one or more first search-limiting criteria that both correspond to the one or more alphanumeric keywords and provide a first context for the one or more alphanumeric keywords, wherein the one or more first search-limiting criteria are not included in the visual content on the non-Web page medium; the information service providing both the one or more alphanumeric keywords and the one or more first search-limiting criteria to a search engine, wherein the search engine performs a first search using both the one or more alphanumeric keywords and the one or more first search-limiting criteria and generates first search results; the information service receiving the first search results from the search engine; the information service transmitting the first search results over the one or more communications networks to the client device; the information service identifying, at a second time that is different than the first time, one or more second search-limiting criteria that both correspond to the one or more alphanumeric keywords and provide, for the one or more alphanumeric keywords, a second context that is different than the first context; and the information service providing both the one or more alphanumeric keywords and the one or more second search-limiting criteria to the search engine, wherein the search engine performs a second search using both the one or more alphanumeric keywords and the one or more second search-limiting criteria and generates second search results. | 9. An apparatus comprising: one or more processors; and one or more memories storing instructions which, when processed by one or more processors, cause: an information service receiving, over one or more communications networks from a client device, one or more alphanumeric keywords, wherein both the one or more alphanumeric keywords and an information service indicator that uniquely identifies the information service are displayed to a user of the client device in visual content on a non-Web page medium; the information service identifying, at a first time, one or more first search-limiting criteria that both correspond to the one or more alphanumeric keywords and provide a first context for the one or more alphanumeric keywords, wherein the one or more first search-limiting criteria are not included in the visual content on the non-Web page medium; the information service providing both the one or more alphanumeric keywords and the one or more first search-limiting criteria to a search engine, wherein the search engine performs a first search using both the one or more alphanumeric keywords and the one or more first search-limiting criteria and generates first search results; the information service receiving the first search results from the search engine; the information service transmitting the first search results over the one or more communications networks to the client device; the information service identifying, at a second time that is different than the first time, one or more second search-limiting criteria that both correspond to the one or more alphanumeric keywords and provide, for the one or more alphanumeric keywords, a second context that is different than the first context; and the information service providing both the one or more alphanumeric keywords and the one or more second search-limiting criteria to the search engine, wherein the search engine performs a second search using both the one or more alphanumeric keywords and the one or more second search-limiting criteria and generates second search results. 16. The apparatus of claim 9 , wherein: the one or more memories store additional instructions which, when processed by the one or more processors, cause one or more of temporarily renting or auctioning, to one or more interested entities, rights to display, for a specified time, the one or more alphanumeric keywords in conjunction with the information service. | 0.713592 |
4. A computer-implemented method according to claim 1, wherein the plurality of sets of data comprises a plurality of World Wide Web pages, such that each of the objects represents one of the World Wide Web pages. | 4. A computer-implemented method according to claim 1, wherein the plurality of sets of data comprises a plurality of World Wide Web pages, such that each of the objects represents one of the World Wide Web pages. 5. A computer-implemented method according to claim 4, wherein the plurality of World Wide Web pages are referenced by a plurality of links, wherein the step of causing the map to be displayed comprises the step of causing the links to be represented on the display device as connections between objects. | 0.902557 |
9. The method of claim 7 , wherein the acoustic elements in the one or more series divide the one or more represented syllables into one or more core components. | 9. The method of claim 7 , wherein the acoustic elements in the one or more series divide the one or more represented syllables into one or more core components. 10. The method of claim 9 , wherein the one or more core components associated with the one or more represented syllables include an onset, a nucleus, and a coda. | 0.920176 |
13. A test job control language (JCL) file generation apparatus, comprising: a memory; a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to: receive a source JCL file including a plurality of jobs and a source procedure file including a library of procedures; receive a global instruction file including instructions applicable to the plurality of jobs in the source JCL file and a specific instruction file including instructions applicable to a selected subset of the plurality of jobs in the source JCL file; determine all procedures that are referenced by the plurality of jobs in the stored source JCL file; access the source procedure file to open each unique procedure of the determined procedures once; modify the plurality of jobs in the source JCL based on instructions in the global and specific instruction files, and the opened procedures, wherein the instructions in the specific instruction file override the instructions in the global instruction file; and generate a test JCL file in accordance with the modified plurality of jobs. | 13. A test job control language (JCL) file generation apparatus, comprising: a memory; a processor disposed in communication with said memory, and configured to issue a plurality of processing instructions stored in the memory, wherein the processor issues instructions to: receive a source JCL file including a plurality of jobs and a source procedure file including a library of procedures; receive a global instruction file including instructions applicable to the plurality of jobs in the source JCL file and a specific instruction file including instructions applicable to a selected subset of the plurality of jobs in the source JCL file; determine all procedures that are referenced by the plurality of jobs in the stored source JCL file; access the source procedure file to open each unique procedure of the determined procedures once; modify the plurality of jobs in the source JCL based on instructions in the global and specific instruction files, and the opened procedures, wherein the instructions in the specific instruction file override the instructions in the global instruction file; and generate a test JCL file in accordance with the modified plurality of jobs. 14. The apparatus of claim 13 , wherein the processor issues further instructions to: copy the plurality of jobs into an intermediate file using the instructions in the global and specific instruction files; open each unique procedure based on the intermediate file; convert the intermediate file into the test JCL file based on the instructions in the instruction files and the opened procedures. | 0.5 |
9. The system of claim 7 , wherein the similarity of the subject matter categorically is identified by matching metadata elements embedded in the first and the second content items, and wherein the matching metadata elements are associations with a webpage of a series of webpages provided by a web content provider. | 9. The system of claim 7 , wherein the similarity of the subject matter categorically is identified by matching metadata elements embedded in the first and the second content items, and wherein the matching metadata elements are associations with a webpage of a series of webpages provided by a web content provider. 10. The system of claim 9 , wherein the webpage is an online encyclopedia or dictionary entry. | 0.94075 |
1. A method of navigating a document, comprising: dividing the document into a plurality of segments; generating, for at least one of the plurality of segments, at least one keyphrase, which is representative of content of the at least one of the plurality of segments, and associating the generated at least one keyphrase with the at least one of the plurality of segments represented by the generated at least one keyphrase; displaying the generated at least one keyphrase; upon a user's selection of the generated at least one keyphrase, enabling the user to view a corresponding segment of the document; and displaying a visual representation for each of the plurality of segments, wherein the position of each visual representation with respect to each of the plurality of generated keyphrases depends on a degree of relatedness between each of plurality of generated keyphrases and the corresponding segment. | 1. A method of navigating a document, comprising: dividing the document into a plurality of segments; generating, for at least one of the plurality of segments, at least one keyphrase, which is representative of content of the at least one of the plurality of segments, and associating the generated at least one keyphrase with the at least one of the plurality of segments represented by the generated at least one keyphrase; displaying the generated at least one keyphrase; upon a user's selection of the generated at least one keyphrase, enabling the user to view a corresponding segment of the document; and displaying a visual representation for each of the plurality of segments, wherein the position of each visual representation with respect to each of the plurality of generated keyphrases depends on a degree of relatedness between each of plurality of generated keyphrases and the corresponding segment. 2. The method of claim 1 , wherein the plurality of segments of the document are identified using a layout analysis or an optical character recognition (OCR) performed on the document. | 0.695525 |
1. A server configured for automatically identifying references to a new business within published content returned from an online source over a network, the server comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the server to: store business data describing previously identified new businesses in a business repository; store data that represent online sources that have published content referencing previously identified businesses in a source search index; receive search results returned by a search engine in response to receiving a submitted query via a plurality of search query interfaces, and; identify and extract references to new businesses that are included in published content included in the received search results by applying a pattern recognition algorithm that is configured to process one or more text patterns extracted from the published content, wherein a new business is one of a newly opened business or a business that is about to open; verify each of a set of new businesses in the extracted references by determining whether data representing the new business is already stored in the business repository; and maintain the source search index. | 1. A server configured for automatically identifying references to a new business within published content returned from an online source over a network, the server comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the server to: store business data describing previously identified new businesses in a business repository; store data that represent online sources that have published content referencing previously identified businesses in a source search index; receive search results returned by a search engine in response to receiving a submitted query via a plurality of search query interfaces, and; identify and extract references to new businesses that are included in published content included in the received search results by applying a pattern recognition algorithm that is configured to process one or more text patterns extracted from the published content, wherein a new business is one of a newly opened business or a business that is about to open; verify each of a set of new businesses in the extracted references by determining whether data representing the new business is already stored in the business repository; and maintain the source search index. 13. The server of claim 1 , wherein the server is further caused to maintain the source search index by pruning the source search index to remove online sources that have not included any further new business references within a predetermined period of time. | 0.566524 |
1. A computer-implemented method comprising: in a computational device: configuring a document creation application with an add-in comprising instructions for linking said document creation application with a business management application that runs on a platform of a structured database management system and stores datum in said structured database management system; configuring said add-in with one or more tools that, when executed, accesses utilities of said business management application via said document creation application without leaving an interface of said document creation application, wherein said one or more tools at least comprises data linking tools comprising an executable data-pull utility that pulls datum from the structured database management system and inserts said datum into a structured field in a document in said document creation application; and configuring said add-in with a social network integration tool for integrating one or more social media interfaces of one or more social networks into an interface of the document creation application, wherein said integrated one or more social media interfaces comprises media feeds including a first media feed comprising information relating to a selected portion of text in a document open in said document creation application. | 1. A computer-implemented method comprising: in a computational device: configuring a document creation application with an add-in comprising instructions for linking said document creation application with a business management application that runs on a platform of a structured database management system and stores datum in said structured database management system; configuring said add-in with one or more tools that, when executed, accesses utilities of said business management application via said document creation application without leaving an interface of said document creation application, wherein said one or more tools at least comprises data linking tools comprising an executable data-pull utility that pulls datum from the structured database management system and inserts said datum into a structured field in a document in said document creation application; and configuring said add-in with a social network integration tool for integrating one or more social media interfaces of one or more social networks into an interface of the document creation application, wherein said integrated one or more social media interfaces comprises media feeds including a first media feed comprising information relating to a selected portion of text in a document open in said document creation application. 4. The computer-implemented method of claim 1 , wherein said business management application comprises a contract creation and a contract lifecycle management application. | 0.678378 |
12. A non-transitory machine-readable medium having instructions stored thereon, which when executed by a computer system, execute a method of program compilation to improve parallelism during the linking of the program by a compiler, the method comprising: converting statements of the program to canonical form; constructing a traversable representation for each procedure in the program; and traversing the program to construct functional dataflow graph, in which an assignment statement or function call is represented as a node, a control flow decision is represented by a first set of nodes, an array or set is represented as a second set of nodes, and edges of the functional dataflow graph represent typed data; identifying at least one loop in the functional dataflow graph that can be executed in parallel; and transforming the at least one loop to a set operation by retyping connections between nodes of the functional dataflow graph. | 12. A non-transitory machine-readable medium having instructions stored thereon, which when executed by a computer system, execute a method of program compilation to improve parallelism during the linking of the program by a compiler, the method comprising: converting statements of the program to canonical form; constructing a traversable representation for each procedure in the program; and traversing the program to construct functional dataflow graph, in which an assignment statement or function call is represented as a node, a control flow decision is represented by a first set of nodes, an array or set is represented as a second set of nodes, and edges of the functional dataflow graph represent typed data; identifying at least one loop in the functional dataflow graph that can be executed in parallel; and transforming the at least one loop to a set operation by retyping connections between nodes of the functional dataflow graph. 15. The non-transitory machine-readable medium of claim 12 , wherein traversing further comprises: expanding procedures found in the traversable representation of a primary procedure of the program to incorporate a traversable representation representing each secondary procedure of the program. | 0.554536 |
1. A computer-readable storage medium having stored and encoded thereon computer-executable instructions for performing on a computing device an enhanced local search of web sites and intranets by mining user access logs, comprising: segmenting the user access log into different browsing sessions; generating ordered pairs of pages from the browsing sessions to find implicit links by using a gliding window to move over explicit paths of the browsing sessions to generate the ordered pairs of pages; determining a frequency of each of the ordered pairs; defining a minimum support threshold; applying the minimum support threshold to the frequency of each of the ordered pairs; filtering the ordered pairs to remove any ordered pairs that are infrequently occurring; constructing an implicit links graph from the implicit links; generating two-item sequential patterns from the ordered pairs; updating the implicit links graph using the two-item sequential patterns; re-ranking search results obtained from a search engine to enhance the local searching to produce updated search results; and displaying the updated search results to a user. | 1. A computer-readable storage medium having stored and encoded thereon computer-executable instructions for performing on a computing device an enhanced local search of web sites and intranets by mining user access logs, comprising: segmenting the user access log into different browsing sessions; generating ordered pairs of pages from the browsing sessions to find implicit links by using a gliding window to move over explicit paths of the browsing sessions to generate the ordered pairs of pages; determining a frequency of each of the ordered pairs; defining a minimum support threshold; applying the minimum support threshold to the frequency of each of the ordered pairs; filtering the ordered pairs to remove any ordered pairs that are infrequently occurring; constructing an implicit links graph from the implicit links; generating two-item sequential patterns from the ordered pairs; updating the implicit links graph using the two-item sequential patterns; re-ranking search results obtained from a search engine to enhance the local searching to produce updated search results; and displaying the updated search results to a user. 7. The computer-readable storage medium of claim 1 , further comprising keeping an ordered pair if its frequency is above the minimum support threshold. | 0.529459 |
19. A non-transitory computer readable storage medium storing one or more programs for execution by the one or more processors of a computer system, the one or more programs comprising instructions for: receiving message information from a server system, the message information representing a set of messages, and an importance score associated with each respective message in the set of messages, wherein the importance score is generated based at least in part on a global importance prediction model, and a user importance prediction model; in accordance with a determination that the set of messages include one or more unread priority messages, wherein priority messages comprise messages with which the associated importance score satisfy one or more predefined message importance criteria: presenting a new mail notification, wherein the global importance prediction model includes a social graph-related weight, the user importance prediction model is based on information associated with a single user, and the global importance prediction model is based on information associated with a plurality of users. | 19. A non-transitory computer readable storage medium storing one or more programs for execution by the one or more processors of a computer system, the one or more programs comprising instructions for: receiving message information from a server system, the message information representing a set of messages, and an importance score associated with each respective message in the set of messages, wherein the importance score is generated based at least in part on a global importance prediction model, and a user importance prediction model; in accordance with a determination that the set of messages include one or more unread priority messages, wherein priority messages comprise messages with which the associated importance score satisfy one or more predefined message importance criteria: presenting a new mail notification, wherein the global importance prediction model includes a social graph-related weight, the user importance prediction model is based on information associated with a single user, and the global importance prediction model is based on information associated with a plurality of users. 20. The non-transitory computer readable storage medium of claim 19 , wherein the one or more programs further comprising instructions for: in accordance with a determination that the set of messages do not include any unread priority messages: foregoing presenting a new mail notification. | 0.542593 |
2. The method of claim 1 , wherein the data objects are message objects; and wherein the method further comprises receiving the original search query at the electronic computing system from a client computing system via an electronic communications network. | 2. The method of claim 1 , wherein the data objects are message objects; and wherein the method further comprises receiving the original search query at the electronic computing system from a client computing system via an electronic communications network. 3. The method of claim 2 , wherein the message objects are email message objects. | 0.9929 |
16. A system for natural language utterance processing, the system comprising: one or more physical processors programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive, from a first user device, a natural language utterance; perform speech recognition to determine one or more words of the natural language utterance; receive, from a second user device, a non-voice user input that relates to the natural language utterance, wherein the first user device and the second user device are associated with a user and are independently operable of one another and of the computer system; process the non-voice user input to determine context information for the one or more words; determine one or more interpretations of the one or more words based on the context information; generate a user request related to the natural language utterance based on the one or more interpretations; select at least one user processing device to process the user request such that the selection of the user processing device is based on a determination that content related to the user request resides at the user processing device, wherein the user processing device comprises the first user device, the second user device, or a third user device independently operable of the computer system; and transmit the user request to the user processing device to invoke the user processing device to process the user request. | 16. A system for natural language utterance processing, the system comprising: one or more physical processors programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive, from a first user device, a natural language utterance; perform speech recognition to determine one or more words of the natural language utterance; receive, from a second user device, a non-voice user input that relates to the natural language utterance, wherein the first user device and the second user device are associated with a user and are independently operable of one another and of the computer system; process the non-voice user input to determine context information for the one or more words; determine one or more interpretations of the one or more words based on the context information; generate a user request related to the natural language utterance based on the one or more interpretations; select at least one user processing device to process the user request such that the selection of the user processing device is based on a determination that content related to the user request resides at the user processing device, wherein the user processing device comprises the first user device, the second user device, or a third user device independently operable of the computer system; and transmit the user request to the user processing device to invoke the user processing device to process the user request. 20. The system of claim 16 , wherein the one or more physical processors are further caused to: obtain one or more personalized cognitive models associated with the user, wherein the one or more personalized cognitive models are based on one or more prior user inputs associated with the user, and wherein the one or more interpretations are determined further based on the one or more personalized cognitive models. | 0.78974 |
1. A computer implemented method for reviewing vocabulary comprising: using a computer and a graphical user interface on a display connected to the computer, and responsive to a user selecting a chapter from a plurality of chapters in a Chinese-English textbook, a question language from English, Simplified Chinese, Traditional Chinese, or Pin Yin, and an answer language from English, Simplified Chinese, Traditional Chinese, or Pin Yin, displaying a plurality of vocabulary words from the chapter, displaying a question containing a vocabulary word in the question language; responsive to the user inputting an answer in the answer language, determining if the answer is a correct answer; responsive to the vocabulary word or the answer being in Simplified Chinese, translating the vocabulary word or the answer into Traditional Chinese by accessing a Simplified Chinese/Traditional Chinese conversion table; wherein a determination if the answer is a correct answer is performed by determining whether the vocabulary word and the answer both match an entry in a Traditional Chinese/Pin Yin/English dictionary encoded in Unicode. | 1. A computer implemented method for reviewing vocabulary comprising: using a computer and a graphical user interface on a display connected to the computer, and responsive to a user selecting a chapter from a plurality of chapters in a Chinese-English textbook, a question language from English, Simplified Chinese, Traditional Chinese, or Pin Yin, and an answer language from English, Simplified Chinese, Traditional Chinese, or Pin Yin, displaying a plurality of vocabulary words from the chapter, displaying a question containing a vocabulary word in the question language; responsive to the user inputting an answer in the answer language, determining if the answer is a correct answer; responsive to the vocabulary word or the answer being in Simplified Chinese, translating the vocabulary word or the answer into Traditional Chinese by accessing a Simplified Chinese/Traditional Chinese conversion table; wherein a determination if the answer is a correct answer is performed by determining whether the vocabulary word and the answer both match an entry in a Traditional Chinese/Pin Yin/English dictionary encoded in Unicode. 8. The method of claim 1 further comprising: changing the font size of the Chinese characters displayed on a graphical user interface. | 0.869942 |
12. A content delivery system comprising: a control unit for: determining a context for identifying a device within a geographic region, identifying a feature including a key feature and a contrastive feature of a candidate route, generating a route description based on the feature, generating a prompt based on the context for adding or removing the feature from the route description, and a communication unit, coupled to the control unit, for delivering the prompt on the device. | 12. A content delivery system comprising: a control unit for: determining a context for identifying a device within a geographic region, identifying a feature including a key feature and a contrastive feature of a candidate route, generating a route description based on the feature, generating a prompt based on the context for adding or removing the feature from the route description, and a communication unit, coupled to the control unit, for delivering the prompt on the device. 16. The system as claimed in claim 12 wherein the control unit is for generating an expansion based on the context for customizing the route description for the geographic region. | 0.551667 |
1. A computer-implemented method, comprising: obtaining, in a server device, a plurality of first search results responsive to a first search query of a user, the plurality of first search results being ranked in an order; identifying a second search query based on the second search query being previously submitted by the user and being related to the first search query; obtaining one or more second search results responsive to the second search query; identifying a particular search result of the second search results; determining that the particular search result is not within a threshold number of highest-ranked first search results of the first search results responsive to the first search query; in response to determining that the particular search result is not within the threshold number of the highest-ranked first search results of the first search results responsive to the first search query, modifying the first search results by providing the particular search result within the threshold number of highest-ranked first search results of the first search results responsive to the first search query; and providing the modified plurality of first search results in response to the first search query. | 1. A computer-implemented method, comprising: obtaining, in a server device, a plurality of first search results responsive to a first search query of a user, the plurality of first search results being ranked in an order; identifying a second search query based on the second search query being previously submitted by the user and being related to the first search query; obtaining one or more second search results responsive to the second search query; identifying a particular search result of the second search results; determining that the particular search result is not within a threshold number of highest-ranked first search results of the first search results responsive to the first search query; in response to determining that the particular search result is not within the threshold number of the highest-ranked first search results of the first search results responsive to the first search query, modifying the first search results by providing the particular search result within the threshold number of highest-ranked first search results of the first search results responsive to the first search query; and providing the modified plurality of first search results in response to the first search query. 2. The method of claim 1 , further comprising: determining the second search query is related to the first search query based on similarity between one or more terms of the first search query and one or more terms of the second search query. | 0.600269 |
1. A method comprising: receiving content posted from an entity to a brand page stored in a social networking system, the entity associated with the brand page; receiving, from the entity associated with the brand page, one or more tags associated with the content posted to the brand page by the entity; presenting the content posted on the brand page to users of the social networking system to whom the brand page is connected; receiving interactions with the content posted on the brand page from a plurality of the users of the social networking system who are connected to the brand page; identifying, by the social networking system, a group of users, of the plurality of users, who performed the received interactions with the content associated with the one or more tags; selecting, by the social networking system, additional content for the group of users, the additional content selected based on the additional content having a tag matching the one or more tags associated with the content interacted with by the group of users of the social networking system; and sending, by the social networking system, the additional content in a story in a news feed to a client device associated with a viewing user included in the group of users. | 1. A method comprising: receiving content posted from an entity to a brand page stored in a social networking system, the entity associated with the brand page; receiving, from the entity associated with the brand page, one or more tags associated with the content posted to the brand page by the entity; presenting the content posted on the brand page to users of the social networking system to whom the brand page is connected; receiving interactions with the content posted on the brand page from a plurality of the users of the social networking system who are connected to the brand page; identifying, by the social networking system, a group of users, of the plurality of users, who performed the received interactions with the content associated with the one or more tags; selecting, by the social networking system, additional content for the group of users, the additional content selected based on the additional content having a tag matching the one or more tags associated with the content interacted with by the group of users of the social networking system; and sending, by the social networking system, the additional content in a story in a news feed to a client device associated with a viewing user included in the group of users. 5. The method of claim 1 , wherein interactions with the content comprises at least one of: sharing the content with another user, indicating a preference for the content or sharing a link to the content with another user. | 0.5 |
18. A device for coding video data, the device comprising: a memory configured to store the video data; and a video coder in communication with the memory, wherein the video coder is configured to: determine whether a coding unit (CU) depth of a current CU is smaller than a minimal CU depth of one or more neighboring CUs, or whether the CU depth of the current CU is greater than a maximum CU depth of the one or more neighboring CUs; select, as part of an entropy coding process, a context for a syntax element associated with the current CU stored in the memory based on information relating to CU depth of the one or more neighboring CUs relative to the current CU, wherein the information relating to the CU depth of the one or more neighboring CUs relative to the current CU includes whether the CU depth of the current CU is smaller than the minimal CU depth of the one or more neighboring CUs or whether the CU depth of the current CU is greater than the maximum CU depth of the one or more neighboring CUs, wherein the syntax element represents whether the current CU is split into sub-CUs; and entropy code the syntax element based on the selected context. | 18. A device for coding video data, the device comprising: a memory configured to store the video data; and a video coder in communication with the memory, wherein the video coder is configured to: determine whether a coding unit (CU) depth of a current CU is smaller than a minimal CU depth of one or more neighboring CUs, or whether the CU depth of the current CU is greater than a maximum CU depth of the one or more neighboring CUs; select, as part of an entropy coding process, a context for a syntax element associated with the current CU stored in the memory based on information relating to CU depth of the one or more neighboring CUs relative to the current CU, wherein the information relating to the CU depth of the one or more neighboring CUs relative to the current CU includes whether the CU depth of the current CU is smaller than the minimal CU depth of the one or more neighboring CUs or whether the CU depth of the current CU is greater than the maximum CU depth of the one or more neighboring CUs, wherein the syntax element represents whether the current CU is split into sub-CUs; and entropy code the syntax element based on the selected context. 19. The device of claim 18 , wherein the entropy coding process comprises a context-adaptive binary arithmetic coding (CABAC) process, and wherein the video coder being configured to entropy code comprises the video coder being configured to CABAC code. | 0.50264 |
6. The computer-implemented method of claim 1 in which one of the chat room summaries is designated by a user as an active chat room summary, said active chat room summary including a scrolling full-text display of an ongoing dialog by participants in the chat room, and wherein remaining additional chat room summaries. | 6. The computer-implemented method of claim 1 in which one of the chat room summaries is designated by a user as an active chat room summary, said active chat room summary including a scrolling full-text display of an ongoing dialog by participants in the chat room, and wherein remaining additional chat room summaries. 7. The computer-implemented method of claim 6 in which each non-active chat room summary extends along a horizontal row of the display and the scrolling full-text display of the active chat room summary extends in a vertical column alongside the non-active chat room summaries. | 0.795217 |
18. The computer-implemented method of claim 12 , wherein the first object is at least partially transparent such that the second object is visible. | 18. The computer-implemented method of claim 12 , wherein the first object is at least partially transparent such that the second object is visible. 19. The computer-implemented method of claim 18 , wherein a visual indicator of a difference between the first version and the second version is visible. | 0.952036 |
5. The computer of claim 1 wherein the application is configured to provide a plurality of controls associated with displayed actions to allow filtering and sorting of actions. | 5. The computer of claim 1 wherein the application is configured to provide a plurality of controls associated with displayed actions to allow filtering and sorting of actions. 6. The computer of claim 5 , wherein the application is configured to filter actions by action type. | 0.972577 |
2. The method of claim 1 , wherein the one or more lines of dialogue associated with the active character roles are highlighted. | 2. The method of claim 1 , wherein the one or more lines of dialogue associated with the active character roles are highlighted. 8. The method of claim 2 , wherein the one or more lines of dialogue associated with the active character roles are to hidden by being highlighted. | 0.970693 |
11. An electronic translator according to claim 1, wherein said mode input means includes at least a manually operable input switch. | 11. An electronic translator according to claim 1, wherein said mode input means includes at least a manually operable input switch. 12. An electronic translator according to claim 11, further comprising visualizing means for visualizing the words as arranged by said arranging means. | 0.918192 |
3. The method of claim 1 , wherein the sending changes the set of compression parameters for the packet-of input data. | 3. The method of claim 1 , wherein the sending changes the set of compression parameters for the packet-of input data. 4. The method of claim 3 , wherein the packet of input data is a second packet of input data that is received after a first packet of input data, the method further comprising: receiving information on the plurality of compressed data words resulting from compression of the first packet of input data, the estimating uses achieved compression ratio information to estimate a set of compression parameters to be applied to the second packet of input data where the second packet of input data is compressed after the first packet of input data is compressed. | 0.875667 |
6. The method of claim 1 , further comprising: responsive to identifying, conveying a real-time notification indicating a meeting is matching a plurality of user-established criteria; presenting the real-time notification to a user within an interface, wherein the notification comprises of meeting information. | 6. The method of claim 1 , further comprising: responsive to identifying, conveying a real-time notification indicating a meeting is matching a plurality of user-established criteria; presenting the real-time notification to a user within an interface, wherein the notification comprises of meeting information. 8. The method of claim 6 , further comprising: automatically joining the user to the meeting responsive to the conveying, wherein the user is associated with a search action, wherein the search action programmatically executes the identifying, determining, and establishing of the method. | 0.919364 |
15. A method, comprising: determining, by at least one computing device comprising a processor and a memory, that a search query string includes a first keyword describing an automobile; identifying, by the at least one computing device, a result set of automotive items from a catalog of items according to the first keyword, the result set of automotive items being compatible with the automobile; ranking, by the at least one computing device, the result set of automotive items according to a first set of customer behavior data indicating selections of automotive items by a plurality of customers who also searched for automotive items compatible with the automobile, wherein ranking the result set of automotive items is configured to surface in the result set a particular automotive item that is associated with a defect in the automobile; inferring, by the at least one computing device, a second keyword according to the automobile and a second set of customer behavior data that indicates a plurality of sales of automotive items to the plurality of customers; determining, by the at least one computing device, a non-application keyword specified in the search query string; and identifying, by the at least one computing device, a subset of the result set of automotive items according to the inferred second keyword and the non-application keyword. | 15. A method, comprising: determining, by at least one computing device comprising a processor and a memory, that a search query string includes a first keyword describing an automobile; identifying, by the at least one computing device, a result set of automotive items from a catalog of items according to the first keyword, the result set of automotive items being compatible with the automobile; ranking, by the at least one computing device, the result set of automotive items according to a first set of customer behavior data indicating selections of automotive items by a plurality of customers who also searched for automotive items compatible with the automobile, wherein ranking the result set of automotive items is configured to surface in the result set a particular automotive item that is associated with a defect in the automobile; inferring, by the at least one computing device, a second keyword according to the automobile and a second set of customer behavior data that indicates a plurality of sales of automotive items to the plurality of customers; determining, by the at least one computing device, a non-application keyword specified in the search query string; and identifying, by the at least one computing device, a subset of the result set of automotive items according to the inferred second keyword and the non-application keyword. 17. The method of claim 15 , wherein the customer behavior data further indicates a plurality of sales of items to the plurality of customers. | 0.699196 |
12. A computer system for managing message communications, comprising: a storage media configured to store message objects including emails, chats, SMS, and other type of messages and software modules; a user interface configured to display message contents, and information about message senders or recipients; and one or more processors configured to access a memory module and the storage media, coupled with the user interface, and further configured to invoke a software module on a server or client computing device to (a) receive a first message, wherein the first message is addressed to or received by multiple recipients, (b) register a user action to reply to the first message, (c) display an message composition or editing interface in response to the user action, (d) detect whether the user is replying only to the sender of the first message as a first operation mode, or to multiple recipients of the first message as a second operation mode, and (e) display a notification, wherein the notification indicates whether the user is replying in the first operation mode or in the second operation mode. | 12. A computer system for managing message communications, comprising: a storage media configured to store message objects including emails, chats, SMS, and other type of messages and software modules; a user interface configured to display message contents, and information about message senders or recipients; and one or more processors configured to access a memory module and the storage media, coupled with the user interface, and further configured to invoke a software module on a server or client computing device to (a) receive a first message, wherein the first message is addressed to or received by multiple recipients, (b) register a user action to reply to the first message, (c) display an message composition or editing interface in response to the user action, (d) detect whether the user is replying only to the sender of the first message as a first operation mode, or to multiple recipients of the first message as a second operation mode, and (e) display a notification, wherein the notification indicates whether the user is replying in the first operation mode or in the second operation mode. 14. The system of claim 12 , wherein it is detected that the user is replying to multiple recipients of the first message, or is replying in the second operation mode, wherein the notification indicates that the message being composed will be sent to multiple recipients of the first message, or will be sent to a recipient that is not the original sender of the first message, or will not be sent to only the sender of the first message. | 0.609415 |
1. A method for creating searchable documents on a computer network, the method performed by a processor comprising: accepting signals provided by a document creator via a user input device to create a document, the created document having a plurality of sections; accepting signals provided by the document creator via the user input device to assign a value for at least one dimension to each section of the created document; storing the plurality of sections of the created document in a retrievable form; and providing different users access to the plurality of sections of the created document based on the value for the at least one dimension assigned to each section of the created document by: identifying a first user value for at least one dimension to which a first user is associated, the first user value indicating a first community with which the first user is associated; for a first section of the created document, comparing the first user value to the value for the at least one dimension assigned to the first section of the created document; conditionally providing the first user access to the first section of the created document, based on the comparison of the first user value to the value for the at least one dimension assigned to the first section of the created document; for a second section of the created document, comparing the first user value to the value for the at least one dimension assigned to the second section of the created document; conditionally providing the first user access to the second section of the created document, based on the comparison of the first user value to the value for the at least one dimension assigned to the second section of the created document; identifying a second user value for at least one dimension to which a second user is associated, the second user value indicating a second community with which the second user is associated; for the first section of the created document, comparing the second user value to the value for the at least one dimension assigned to the first section of the created document; conditionally providing the second user access to the first section of the created document, based on the comparison of the second user value to the value for the at least one dimension assigned to the first section of the created document; for the second section of the created document, comparing the second user value to the value for the at least one dimension assigned to the second section of the created document; and conditionally providing the second user access to the second section of the created document, based on the comparison of the second user value to the value for the at least one dimension assigned to the second section of the created document. | 1. A method for creating searchable documents on a computer network, the method performed by a processor comprising: accepting signals provided by a document creator via a user input device to create a document, the created document having a plurality of sections; accepting signals provided by the document creator via the user input device to assign a value for at least one dimension to each section of the created document; storing the plurality of sections of the created document in a retrievable form; and providing different users access to the plurality of sections of the created document based on the value for the at least one dimension assigned to each section of the created document by: identifying a first user value for at least one dimension to which a first user is associated, the first user value indicating a first community with which the first user is associated; for a first section of the created document, comparing the first user value to the value for the at least one dimension assigned to the first section of the created document; conditionally providing the first user access to the first section of the created document, based on the comparison of the first user value to the value for the at least one dimension assigned to the first section of the created document; for a second section of the created document, comparing the first user value to the value for the at least one dimension assigned to the second section of the created document; conditionally providing the first user access to the second section of the created document, based on the comparison of the first user value to the value for the at least one dimension assigned to the second section of the created document; identifying a second user value for at least one dimension to which a second user is associated, the second user value indicating a second community with which the second user is associated; for the first section of the created document, comparing the second user value to the value for the at least one dimension assigned to the first section of the created document; conditionally providing the second user access to the first section of the created document, based on the comparison of the second user value to the value for the at least one dimension assigned to the first section of the created document; for the second section of the created document, comparing the second user value to the value for the at least one dimension assigned to the second section of the created document; and conditionally providing the second user access to the second section of the created document, based on the comparison of the second user value to the value for the at least one dimension assigned to the second section of the created document. 6. The method of claim 1 , wherein the created document is based on a template defining one or more fonts and one or more pieces of artwork. | 0.554172 |
23. A navigation device for dynamically generating a recognition grammar in an integrated voice navigation services environment, wherein the navigation device comprises one or more processors configured to: receive a natural language utterance that relates to a navigation context; identify a current location associated with the navigation device; generate a dynamic recognition grammar that organizes grammar information based on one or more topological domains associated with the current location associated with the navigation device; and determine one or more affinities between a user that spoke the natural language utterance and one or more peers associated with the user, wherein the dynamic recognition grammar further organizes the grammar information according to the one or more determined affinities generate one or more interpretations associated with the natural language utterance using the dynamic recognition grammar. | 23. A navigation device for dynamically generating a recognition grammar in an integrated voice navigation services environment, wherein the navigation device comprises one or more processors configured to: receive a natural language utterance that relates to a navigation context; identify a current location associated with the navigation device; generate a dynamic recognition grammar that organizes grammar information based on one or more topological domains associated with the current location associated with the navigation device; and determine one or more affinities between a user that spoke the natural language utterance and one or more peers associated with the user, wherein the dynamic recognition grammar further organizes the grammar information according to the one or more determined affinities generate one or more interpretations associated with the natural language utterance using the dynamic recognition grammar. 24. The navigation device of claim 23 , wherein the one or more processors are further configured to: recognize one or more command words in the natural language utterance that define a command in the navigation context; recognize one or more location words in the natural language utterance that define a state associated with the command in the navigation context, wherein the dynamic recognition grammar further organizes the grammar information according to the state associated with the command in the navigation context; and recognize one or more additional location words in the natural language utterance that define a city within the state associated with the command in the navigation context, wherein the dynamic recognition grammar further organizes the grammar information according to multiple street addresses in the city within the state associated with the command in the navigation context. | 0.587047 |
10. A system for conducting searches of merchandise information, comprising: a processor configured to: determine whether a matching merchandise category can be found in response to a query based at least in part on received keywords associated with the query; in the event that the matching merchandise category can be found: retrieve a model information group corresponding to the determined matching merchandise category; extract attribute information from the retrieved model information group based at least in part on a quantity associated with an attribute, wherein the attribute includes at least a first type associated with the attribute and wherein the quantity associated with the attribute is based at least in part on a number of times the first type associated with the attribute appears in a set of generated journal files; and present the extracted attribute information from the retrieved model information group; in the event that the matching merchandise category cannot be found, search a merchandise category tree using the received keywords and return information from one or more matching nodes of the merchandise category tree; and a memory coupled to the processor and configured to provide the processor with instructions. | 10. A system for conducting searches of merchandise information, comprising: a processor configured to: determine whether a matching merchandise category can be found in response to a query based at least in part on received keywords associated with the query; in the event that the matching merchandise category can be found: retrieve a model information group corresponding to the determined matching merchandise category; extract attribute information from the retrieved model information group based at least in part on a quantity associated with an attribute, wherein the attribute includes at least a first type associated with the attribute and wherein the quantity associated with the attribute is based at least in part on a number of times the first type associated with the attribute appears in a set of generated journal files; and present the extracted attribute information from the retrieved model information group; in the event that the matching merchandise category cannot be found, search a merchandise category tree using the received keywords and return information from one or more matching nodes of the merchandise category tree; and a memory coupled to the processor and configured to provide the processor with instructions. 12. The system of claim 10 , wherein the processor configured to extract attribute information includes extracting attribute information whose corresponding quantity is the greatest among a plurality of types associated with the attribute. | 0.630118 |
31. An apparatus comprising: memory; one or more computers configured to: parse patent data to generate a set of nodes; select at least one node of the set of nodes; determine initial links from meta data associated with the patent data for the at least one node; create links among the set of nodes based on the metadata; identify a set of seed nodes; determine a community structure for the set of seed nodes, the community structure including a plurality of communities; and assign concepts to the plurality of communities, wherein determining the community structure comprises: initiating a percolation message from a source node of a linked network, the linked network comprising a plurality of nodes and a plurality of edges, each edge connecting at least two of the plurality of nodes, wherein a node is a neighbor if the node is connected to another node in the plurality of nodes by an edge, wherein the percolation message comprises a percolation probability and an identifier of the source node, and wherein initiating a percolation message from the source node comprises transmitting the percolation message to each neighbor of the source node with the percolation probability; propagating the percolation message through the linked network, wherein propagating the percolation message through the linked network comprises: transmitting the percolation message from each node that receives the percolation message to each neighbor of each node that receives the percolation message; and transmitting a response to the source node from each node that receives the percolation message; collecting each response to the percolation message at the source node; and storing a list of nodes that transmitted the response at the source node. | 31. An apparatus comprising: memory; one or more computers configured to: parse patent data to generate a set of nodes; select at least one node of the set of nodes; determine initial links from meta data associated with the patent data for the at least one node; create links among the set of nodes based on the metadata; identify a set of seed nodes; determine a community structure for the set of seed nodes, the community structure including a plurality of communities; and assign concepts to the plurality of communities, wherein determining the community structure comprises: initiating a percolation message from a source node of a linked network, the linked network comprising a plurality of nodes and a plurality of edges, each edge connecting at least two of the plurality of nodes, wherein a node is a neighbor if the node is connected to another node in the plurality of nodes by an edge, wherein the percolation message comprises a percolation probability and an identifier of the source node, and wherein initiating a percolation message from the source node comprises transmitting the percolation message to each neighbor of the source node with the percolation probability; propagating the percolation message through the linked network, wherein propagating the percolation message through the linked network comprises: transmitting the percolation message from each node that receives the percolation message to each neighbor of each node that receives the percolation message; and transmitting a response to the source node from each node that receives the percolation message; collecting each response to the percolation message at the source node; and storing a list of nodes that transmitted the response at the source node. 44. The apparatus of claim 31 wherein the one or more computers are further configured to: specify a weight for each node; and determine a weight for each of the plurality of communities. | 0.569302 |
1. A computer implemented method comprising: receiving a question relating to an individual; extracting context from the question; identifying subject matter criteria from the context of the question; accessing a database containing history data that includes recorded multimedia data that contains positional data for physical objects relative to a location of a wearable device worn by the individual and over a period of time during which the multimedia data was recorded; identifying, based upon the subject matter criteria, relevant physical objects from the recorded multimedia of the history data; generating a set of answers for the question from a corpus of data; ranking the set of answers based upon the relevant physical objects and physical distance, at the time the multimedia data was recorded, between the wearable device worn by the individual and the relevant physical objects; and providing the ranked set of answers such that answers associated with a respective physical object having the smallest physical distance, at the time the multimedia data was collected, between the wearable device and the respective physical object are displayed first; wherein ranking the set of answers further comprises ranking the set of answers based upon respective total amount of time each respective physical object was proximal to the wearable device and respective frequency each respective physical object was proximal to the wearable device. | 1. A computer implemented method comprising: receiving a question relating to an individual; extracting context from the question; identifying subject matter criteria from the context of the question; accessing a database containing history data that includes recorded multimedia data that contains positional data for physical objects relative to a location of a wearable device worn by the individual and over a period of time during which the multimedia data was recorded; identifying, based upon the subject matter criteria, relevant physical objects from the recorded multimedia of the history data; generating a set of answers for the question from a corpus of data; ranking the set of answers based upon the relevant physical objects and physical distance, at the time the multimedia data was recorded, between the wearable device worn by the individual and the relevant physical objects; and providing the ranked set of answers such that answers associated with a respective physical object having the smallest physical distance, at the time the multimedia data was collected, between the wearable device and the respective physical object are displayed first; wherein ranking the set of answers further comprises ranking the set of answers based upon respective total amount of time each respective physical object was proximal to the wearable device and respective frequency each respective physical object was proximal to the wearable device. 6. The method of claim 1 , wherein ranking the set of answers includes ranking based upon an amount of time that a physical distance between the individual and a particular physical object is within a threshold distance. | 0.677843 |
1. A computer-implemented method including executing, by at least one processor, instructions recorded on a non-transitory computer-readable storage medium, the method comprising: identifying, by the at least one processor, a template from a set of templates, each template included in the set of templates including respective meta-data describing a configuration for a corresponding computing services platform, and the template being associated with a translation program that translates the template into a service blueprint for a computing services platform associated with the service blueprint; verifying the translation program associated with the template, the verifying comprising: applying a first fitness function to the translation program; determining, by the first fitness function, that the translation program is valid; based on the first fitness function determining that the translation program is valid, applying a second fitness function to the translation program; and determining, by the second fitness function, that the translation program is valid; and based on the second fitness function determining that the translation program is valid and based on the first fitness function determining that the translation program is valid, adding the translation program to a set of validated translation programs for use in translating the set of templates. | 1. A computer-implemented method including executing, by at least one processor, instructions recorded on a non-transitory computer-readable storage medium, the method comprising: identifying, by the at least one processor, a template from a set of templates, each template included in the set of templates including respective meta-data describing a configuration for a corresponding computing services platform, and the template being associated with a translation program that translates the template into a service blueprint for a computing services platform associated with the service blueprint; verifying the translation program associated with the template, the verifying comprising: applying a first fitness function to the translation program; determining, by the first fitness function, that the translation program is valid; based on the first fitness function determining that the translation program is valid, applying a second fitness function to the translation program; and determining, by the second fitness function, that the translation program is valid; and based on the second fitness function determining that the translation program is valid and based on the first fitness function determining that the translation program is valid, adding the translation program to a set of validated translation programs for use in translating the set of templates. 9. The computer-implemented method of claim 1 , further comprising: determining, by the second fitness function, that the translation program is not valid; and based on the second fitness function determining that the translation program is not valid, discarding the translation program, the discarding not adding the translation program to a set of validated translation programs for use in translating the set of templates. | 0.588514 |
11. A computer-readable storage device storing computer-executable instructions for using environmental conditions in addition to other dialog state information in a conversational dialog system, comprising: receiving a user dialog act requesting a computer system to perform a task; based on the user dialog act, determining a first machine action to perform the task; accessing environmental conditions that are associated with the user dialog act; based on the environmental conditions and the user dialog act, determining a second machine action other than performing the task, wherein the second machine action at least temporarily prevents completion of the first machine action; and performing the second machine action to provide a response to a user. | 11. A computer-readable storage device storing computer-executable instructions for using environmental conditions in addition to other dialog state information in a conversational dialog system, comprising: receiving a user dialog act requesting a computer system to perform a task; based on the user dialog act, determining a first machine action to perform the task; accessing environmental conditions that are associated with the user dialog act; based on the environmental conditions and the user dialog act, determining a second machine action other than performing the task, wherein the second machine action at least temporarily prevents completion of the first machine action; and performing the second machine action to provide a response to a user. 12. The computer-readable storage device of claim 11 , wherein accessing the environmental conditions that are associated with the input comprises accessing at least one of: a current activity being performed when the user dialog act is received or a current computing device. | 0.519355 |
6. A system comprising a memory for storing program code and a processor for processing the program code to perform the operations of: receiving a user request to upload a user-specified video stream; determining whether the video stream meets one or more predetermined requirements, wherein if the video stream does not meet the one or more predetermined requirements, then denying the request, and wherein if the video stream meets the one or more predetermined requirements, then performing the operations of: uploading the video stream; analyzing the video stream to select video frames for extraction based on a set of predetermined frame selection criteria; extracting the selected video frames from the video image; selecting a story book template to be used with the video images; generating a preview of the story book template with the video images within a graphical user interface (GUI), the user editing the story book template with text and/or moving or modifying the video frames within the preview; and in response to detecting that the user has completed editing the story book, saving the story book and generating a print job for printing the story book, wherein the preview comprises one or more story book pages each displaying a currently selected set of video frames, the GUI further comprising a displayed sequence of video frames from the video stream, the video frames selectable by the user to add the selected video frames to each of the story book pages, wherein the video frames comprise intra-frame image coding which comprises I-frame. | 6. A system comprising a memory for storing program code and a processor for processing the program code to perform the operations of: receiving a user request to upload a user-specified video stream; determining whether the video stream meets one or more predetermined requirements, wherein if the video stream does not meet the one or more predetermined requirements, then denying the request, and wherein if the video stream meets the one or more predetermined requirements, then performing the operations of: uploading the video stream; analyzing the video stream to select video frames for extraction based on a set of predetermined frame selection criteria; extracting the selected video frames from the video image; selecting a story book template to be used with the video images; generating a preview of the story book template with the video images within a graphical user interface (GUI), the user editing the story book template with text and/or moving or modifying the video frames within the preview; and in response to detecting that the user has completed editing the story book, saving the story book and generating a print job for printing the story book, wherein the preview comprises one or more story book pages each displaying a currently selected set of video frames, the GUI further comprising a displayed sequence of video frames from the video stream, the video frames selectable by the user to add the selected video frames to each of the story book pages, wherein the video frames comprise intra-frame image coding which comprises I-frame. 7. The system as in claim 6 wherein the one or more predetermined requirements comprises a video stream size, format, or duration. | 0.638743 |
15. The method of claim 14 , wherein the locating step comprises: locating a region object from the at least one annotation object, wherein the region object represents the region in which the at least one annotation object is located in the at least one changed source file; and locating the existing doclet object instance from the region object based on multiplicity of the existing doclet object instance in the doclet model for a property with a same name as a tag name of the at least one annotation object. | 15. The method of claim 14 , wherein the locating step comprises: locating a region object from the at least one annotation object, wherein the region object represents the region in which the at least one annotation object is located in the at least one changed source file; and locating the existing doclet object instance from the region object based on multiplicity of the existing doclet object instance in the doclet model for a property with a same name as a tag name of the at least one annotation object. 16. The method of claim 15 , wherein second locating step comprises: locating an existing doclet object instance if the multiplicity of the existing doclet object instance is one; locating an existing doclet object instance based on a unique meta-model property if the multiplicity of the existing doclet object instance is more than one, wherein the unique property is defined by the at least one tag handler; and locating an existing doclet object instance based on a position in the at least one changed source file if no unique meta-model property is defined, wherein the existing doclet object instance is the doclet object instance in a list of doclet objects of the region object for a property with a same name as a tag name of the at least one annotation object. | 0.706982 |
15. A graphical user interface (GUI) system for tuning access middleware that provides an application with one or more connections to a database, the GUI system comprising: a processor; a module for providing a driver/provider selection screen for receiving a first response from a user specifying a type of a driver/provider for the database to be tuned; a module for providing a plurality of navigable application question screens for querying the user based on the first response received from the user and receiving a second response from the user specifying whether the application connected via the access middleware to the database supports a functionality specified in a query; a module for providing one or more preference question screens based on the first and second responses and receiving a third response from the user specifying one or more user preferences, each preference question screen querying the user regarding one or more user preferences associated with application performance; a module for generating, based on the first response received from the user, the second response received from the user specifying whether the application supports the functionality and the third response from the user specifying one or more user preferences associated with performance, a set of connection options and values configured to achieve optimal performance of the driver/provider; and a module for providing a results screen for providing the set of connection options and values to the user. | 15. A graphical user interface (GUI) system for tuning access middleware that provides an application with one or more connections to a database, the GUI system comprising: a processor; a module for providing a driver/provider selection screen for receiving a first response from a user specifying a type of a driver/provider for the database to be tuned; a module for providing a plurality of navigable application question screens for querying the user based on the first response received from the user and receiving a second response from the user specifying whether the application connected via the access middleware to the database supports a functionality specified in a query; a module for providing one or more preference question screens based on the first and second responses and receiving a third response from the user specifying one or more user preferences, each preference question screen querying the user regarding one or more user preferences associated with application performance; a module for generating, based on the first response received from the user, the second response received from the user specifying whether the application supports the functionality and the third response from the user specifying one or more user preferences associated with performance, a set of connection options and values configured to achieve optimal performance of the driver/provider; and a module for providing a results screen for providing the set of connection options and values to the user. 18. The system of claim 15 , wherein one or more of the GUI screens provide details that indicate an applicable connection string attribute or property based on a question being asked, and guidance on how to set that attribute/property. | 0.71875 |
1. A computer implemented method for meeting an economic challenge, the method comprising: identifying an economic challenge; inputting a specification of the challenge into a computer through a user interface operable therewith, wherein the inputting includes inputting a structured document having a field for an economic output, a nation of interest and starting conditions for the challenge; receiving the specification from the user interface by a reasoner processor; searching a library by the reasoner processor for locating data and at least one model applicable to the challenge; developing an ontology data set from the located data and developing an ontology model set from the at least one located model by the reasoner processor, wherein the developing comprises a forward and backward chaining reasoner process which draws from the ontology model set and the ontology data set; storing the ontology data set and the ontology model set in a database; developing a selected data set and at least one selected model of the specification by the reasoner processor accessing the database for identifying a solution to the challenge; tagging the selected data set and the at least one selected model for providing information therefor; executing the at least one selected model using the selected data set by an execution engine of the processor for providing results data responsive to the field for an economic output, the nation of interest and the starting conditions for the challenge; storing the results data resulting data from the at least one executed selected model in a results database; representing the results data and relationships therebetween in a visual ontology; transferring the results data from the results database to a visualization engine of the processor for providing visual images of the results data resulting from the structured document of the specification; and selecting at least one visualized image of the results data by the reasoner processor for describing the challenge in a manner for meeting the challenge. | 1. A computer implemented method for meeting an economic challenge, the method comprising: identifying an economic challenge; inputting a specification of the challenge into a computer through a user interface operable therewith, wherein the inputting includes inputting a structured document having a field for an economic output, a nation of interest and starting conditions for the challenge; receiving the specification from the user interface by a reasoner processor; searching a library by the reasoner processor for locating data and at least one model applicable to the challenge; developing an ontology data set from the located data and developing an ontology model set from the at least one located model by the reasoner processor, wherein the developing comprises a forward and backward chaining reasoner process which draws from the ontology model set and the ontology data set; storing the ontology data set and the ontology model set in a database; developing a selected data set and at least one selected model of the specification by the reasoner processor accessing the database for identifying a solution to the challenge; tagging the selected data set and the at least one selected model for providing information therefor; executing the at least one selected model using the selected data set by an execution engine of the processor for providing results data responsive to the field for an economic output, the nation of interest and the starting conditions for the challenge; storing the results data resulting data from the at least one executed selected model in a results database; representing the results data and relationships therebetween in a visual ontology; transferring the results data from the results database to a visualization engine of the processor for providing visual images of the results data resulting from the structured document of the specification; and selecting at least one visualized image of the results data by the reasoner processor for describing the challenge in a manner for meeting the challenge. 8. The method according to claim 1 , wherein the tagging of the at least one selected model comprises providing input contents and format, output and a confidence function. | 0.540222 |
1. A system comprising: a machine-language-based classifier, wherein the machine-language-based classifier is configured to perform the following actions: receive a first user input requesting a digital assistant to perform a requested task; identify a first context for the user; analyze the first user input to determine first intermediate task data corresponding to the requested first task; provide the first context and the first intermediate task data as inputs to a machine learned language prediction model, wherein the machine learned language prediction model is based on log data, the log data comprising historical data representing previous interactions between one or more users and one or more digital assistant applications; receive as output from the machine learned language prediction model, first intermediate suggestion data for generating a first suggestion for the user, wherein the first suggestion is for a second task to be requested based on the inputs to the machine learned language prediction model; receive a second user input, wherein the second user input is the same as the first user input; receive a second context for the user, wherein the second context is different from the first context; analyze the second user input to determine second intermediate task data corresponding to the requested task; provide the second context and the second intermediate task data as inputs to the machine learned language prediction model; and receive as output from the machine learned language prediction model, second intermediate suggestion data for generating a second suggestion for the user, wherein the second suggestion is different from the first suggestion; and an output module, wherein the output module is configured to present the first suggestion and the second suggestion to the user. | 1. A system comprising: a machine-language-based classifier, wherein the machine-language-based classifier is configured to perform the following actions: receive a first user input requesting a digital assistant to perform a requested task; identify a first context for the user; analyze the first user input to determine first intermediate task data corresponding to the requested first task; provide the first context and the first intermediate task data as inputs to a machine learned language prediction model, wherein the machine learned language prediction model is based on log data, the log data comprising historical data representing previous interactions between one or more users and one or more digital assistant applications; receive as output from the machine learned language prediction model, first intermediate suggestion data for generating a first suggestion for the user, wherein the first suggestion is for a second task to be requested based on the inputs to the machine learned language prediction model; receive a second user input, wherein the second user input is the same as the first user input; receive a second context for the user, wherein the second context is different from the first context; analyze the second user input to determine second intermediate task data corresponding to the requested task; provide the second context and the second intermediate task data as inputs to the machine learned language prediction model; and receive as output from the machine learned language prediction model, second intermediate suggestion data for generating a second suggestion for the user, wherein the second suggestion is different from the first suggestion; and an output module, wherein the output module is configured to present the first suggestion and the second suggestion to the user. 4. The system of claim 1 , further comprising a log data module configured to receive the first intermediate suggestion data, the first suggestion, and the first context to the log data. | 0.546423 |
7. A method according to claim 5 , further comprising: requesting the user to provide feedback for the presented translation by indicating whether the translation is (i) adequate or (ii) not adequate; receiving the requested feedback from the user; and adjusting ranking scores for subsequent translations based on the received user feedback. | 7. A method according to claim 5 , further comprising: requesting the user to provide feedback for the presented translation by indicating whether the translation is (i) adequate or (ii) not adequate; receiving the requested feedback from the user; and adjusting ranking scores for subsequent translations based on the received user feedback. 8. A method according to claim 7 , wherein adjusting ranking scores for subsequent translations comprises adjusting, based on the feedback, the respective weighting factor to be applied to both (i) the literature criterion and (ii) the search log criterion. | 0.959421 |
10. The method according to claim 5 , wherein the second schema definition is requested by specifying a schema name of the second schema definition, indicating that the second schema definition is to be used by the validating parser when generating the output. | 10. The method according to claim 5 , wherein the second schema definition is requested by specifying a schema name of the second schema definition, indicating that the second schema definition is to be used by the validating parser when generating the output. 11. The method according to claim 10 , wherein the schema name is specified, by the application program, as a feature on an invocation of the validating parser. | 0.909487 |
1. A computing apparatus comprising: a trusted execution environment (TEE); and one or more logic elements comprising an input verification engine (IVE) for operating within the TEE, the IVE including a secure network stack configured to provide encrypted communication and validate packets, the IVE operable for: provisioning a binary translation engine within the TEE, the binary translation engine comprising an interpreter or virtual machine configured to receive a binary object in a first format not suitable for execution on the computing apparatus, and translate the binary object into a second format suitable for execution on the computing apparatus; receiving an input for the binary translation engine; validating the input via the secure network stack without exposing the input outside of the TEE; and exporting the input to an application outside of the TEE. | 1. A computing apparatus comprising: a trusted execution environment (TEE); and one or more logic elements comprising an input verification engine (IVE) for operating within the TEE, the IVE including a secure network stack configured to provide encrypted communication and validate packets, the IVE operable for: provisioning a binary translation engine within the TEE, the binary translation engine comprising an interpreter or virtual machine configured to receive a binary object in a first format not suitable for execution on the computing apparatus, and translate the binary object into a second format suitable for execution on the computing apparatus; receiving an input for the binary translation engine; validating the input via the secure network stack without exposing the input outside of the TEE; and exporting the input to an application outside of the TEE. 2. The computing apparatus of claim 1 , wherein exporting the input further comprises encrypting the input. | 0.614805 |
1. A computer-implemented method for querying a tag database, comprising: storing the tag database in a storage device; receiving an XML document including a database query written in a query language supported by an agent of the tag database, the query language supporting database features, tag features, and text features, the database query including a request for at least one feature of the query language that is supported by the agent; parsing the XML document to extract the database query from the XML document; accessing, using a processor, the tag database to perform at least one of a read or write operation on the tag database, based on the database query; and in response to receipt of the database query, returning a list of features, the list of features indicating the features of the query language that are supported by the agent, wherein the tag features include tag query language directives, the tag query language directives including at least one of retrieve, aggregate, call, partition, continue, list, override, or return. | 1. A computer-implemented method for querying a tag database, comprising: storing the tag database in a storage device; receiving an XML document including a database query written in a query language supported by an agent of the tag database, the query language supporting database features, tag features, and text features, the database query including a request for at least one feature of the query language that is supported by the agent; parsing the XML document to extract the database query from the XML document; accessing, using a processor, the tag database to perform at least one of a read or write operation on the tag database, based on the database query; and in response to receipt of the database query, returning a list of features, the list of features indicating the features of the query language that are supported by the agent, wherein the tag features include tag query language directives, the tag query language directives including at least one of retrieve, aggregate, call, partition, continue, list, override, or return. 3. The method of claim 1 , wherein the database query includes a mask. | 0.607893 |
10. A method of operating a workgroup application to facilitate collaboration among a plurality of participants, the workgroup application operating in a computer system having a plurality of participants, the workgroup application operating in a computer system having a plurality of work stations, each work station having a user interface associated therewith, the method comprising: a) displaying a plurality of cursors through the user interfaces associated with each work station of at least a portion of the plurality of work stations, each cursor being responsive to input from a respective participant of the plurality of participants; and b) displaying a plurality of participant indicators, each participant indicator being displayed as an icon having a circular outline and moving in synchronization with a respective cursor of the plurality of cursors, each participant indicator being representative of the respective participant of the respective cursor, wherein at least a portion of the plurality of cursors are displayed with a visual appearance indication that the workgroup application cannot receive input from the respective participants, irrespective of whether the workgroup application can receive input from other participants, displaying the plurality of participant indicators comprises displaying, for each of at least a portion of the plurality of participant indicators, the icon having an opacity between about 25 percent and about 90 percent, the at least a portion of the plurality of participant indicator are presented through the user interfaces associated with each work station of the at least a portion of the plurality of work stations with a spatial ordering corresponding to a temporal ordering in which inputs of the respective participants are received, and opacities of the at least a portion of the plurality of participant indicators are based on running averages of rates at which the respective participants provide inputs. | 10. A method of operating a workgroup application to facilitate collaboration among a plurality of participants, the workgroup application operating in a computer system having a plurality of participants, the workgroup application operating in a computer system having a plurality of work stations, each work station having a user interface associated therewith, the method comprising: a) displaying a plurality of cursors through the user interfaces associated with each work station of at least a portion of the plurality of work stations, each cursor being responsive to input from a respective participant of the plurality of participants; and b) displaying a plurality of participant indicators, each participant indicator being displayed as an icon having a circular outline and moving in synchronization with a respective cursor of the plurality of cursors, each participant indicator being representative of the respective participant of the respective cursor, wherein at least a portion of the plurality of cursors are displayed with a visual appearance indication that the workgroup application cannot receive input from the respective participants, irrespective of whether the workgroup application can receive input from other participants, displaying the plurality of participant indicators comprises displaying, for each of at least a portion of the plurality of participant indicators, the icon having an opacity between about 25 percent and about 90 percent, the at least a portion of the plurality of participant indicator are presented through the user interfaces associated with each work station of the at least a portion of the plurality of work stations with a spatial ordering corresponding to a temporal ordering in which inputs of the respective participants are received, and opacities of the at least a portion of the plurality of participant indicators are based on running averages of rates at which the respective participants provide inputs. 12. The method of operating a workgroup application of claim 10 , wherein displaying a plurality of participant indicators comprises displaying, for each of at least a portion of the plurality of participant indicators, the icon having an opacity that decreases until a minimum opacity is reached or until the respective participant provides a next input. | 0.5 |
53. A computer-readable medium including instructions, when executed, cause a processor to perform a method for providing at least one readable object that is readable by a search engine from at least one structured data object stored in a database, the method comprising: extracting the structured data object from the database, wherein the structured data object includes a hierarchical sequence of nodes related by at least one link and a plurality of content, and wherein at least one content of the plurality of content is nonreadable content that cannot be read by the search engine; mapping the structured data object into a generic data model according to the hierarchical sequence of nodes and content; and creating the readable object from the generic data model, wherein creating includes converting the nonreadable content of the structured data object into readable content for the search engine. | 53. A computer-readable medium including instructions, when executed, cause a processor to perform a method for providing at least one readable object that is readable by a search engine from at least one structured data object stored in a database, the method comprising: extracting the structured data object from the database, wherein the structured data object includes a hierarchical sequence of nodes related by at least one link and a plurality of content, and wherein at least one content of the plurality of content is nonreadable content that cannot be read by the search engine; mapping the structured data object into a generic data model according to the hierarchical sequence of nodes and content; and creating the readable object from the generic data model, wherein creating includes converting the nonreadable content of the structured data object into readable content for the search engine. 62. The computer-readable medium of claim 53 , wherein the instructions are configured further to cause the processor to store the readable object as a permanently stored readable object. | 0.602625 |
1. A method performed by a processor in a computing system for analyzing text capture operation traffic, the method comprising: receiving, by the computing system, a plurality of indications of operations for capturing text from rendered documents, each of the plurality of the received indications specifying a text sequence captured as part of the indicated text capture sequence; for each of the plurality of received indications, identifying, by the processor, an electronic document containing the captured text sequence; performing, by the processor, collective analysis on the plurality of received indications and the electronic documents; and outputting, by the processor, a result produced by the performed analysis. | 1. A method performed by a processor in a computing system for analyzing text capture operation traffic, the method comprising: receiving, by the computing system, a plurality of indications of operations for capturing text from rendered documents, each of the plurality of the received indications specifying a text sequence captured as part of the indicated text capture sequence; for each of the plurality of received indications, identifying, by the processor, an electronic document containing the captured text sequence; performing, by the processor, collective analysis on the plurality of received indications and the electronic documents; and outputting, by the processor, a result produced by the performed analysis. 12. The method of claim 1 wherein the collective analysis comprises determining a most popular set of topics. | 0.642224 |
7. The method of claim 6 , wherein the e-mail message includes a file comprising the translated string. | 7. The method of claim 6 , wherein the e-mail message includes a file comprising the translated string. 8. The method of claim 7 , wherein the file comprises a spreadsheet file. | 0.968147 |
41. The method of claim 40 , wherein numerically expressing the association as the associated score comprises calculating a single associated score by applying an individual weight to the association indicator. | 41. The method of claim 40 , wherein numerically expressing the association as the associated score comprises calculating a single associated score by applying an individual weight to the association indicator. 42. The method of claim 41 , wherein numerically expressing the association as the associated score comprises calculating a plural keyword associated score based on the single keyword associated score, and the plural keyword associated score corresponds to a score calculated by numerically expressing an association between the associated keyword or the extended keyword and the other keywords. | 0.904064 |
34. A process comprising the steps: A) controlling a computer with a validation program to validate a Formal Specification written in a formal language which has rules of syntax and semantics which define a grammar, said Formal Specification expressing in said formal language the information contained in a Conceptual Model of an application computer program being designed by a designer which is to be automatically translated by a translation program executing on a computer into working, final computer source code of said application computer program having a user interface and a database schema, said validating being carried out on a computer executing said validation program to ensure that said Formal Specification is complete in that there is no missing information and all required properties of elements in said Conceptual Model embodied in said Formal Specification are defined and have a value which is valid; B) controlling said computer using said validation program so as to use said rules of grammar of whatever formal language said Formal Specification is written in, to ensure said Formal Specification is correct in that the statements in said Formal Specification have correct syntax and are semantically correct, consistent and not ambiguous; and C) controlling said computer using said validation program to use rules of grammar that are specific to each different type of formula in said Conceptual Model and a validation process which is specific to each different type of formula in said Conceptual Model to validate each formula expressed in the Formal Specification; and wherein said Conceptual Model comprises an object model, a dynamic model, a functional model and a presentation model, and further comprising the step of using a computer to automatically translate said Formal Specification into full, working, bug-free source code of said application computer program after steps A and B and C have been completed and all elements of said Formal Specification including all said formulas have been validated to ensure they have correct syntax and are semantically complete and correct, said automatic translation process comprising: creating translation object instances in memory of a computer each of which is designed to create source code of a different type and each of which stores a source code template which has blanks in it for requirements data which will be extracted from said Formal Specification after it has been validated and that will customize said source code to the requirements of said application computer program; using a code generation method of each said translation object instance to control a computer to extract said requirements data needed from said validated Formal Specification to fill in said blanks in each said source code template and storing said extracted requirements data in each said translation object instance; creating a code generation object and controlling a computer with a method which is part of said code generation object to make a list of the translation object instances which have been created and to call said code generation method of each said translation object in the proper order to cause said translation object to write source code by putting said extracted requirements data stored therein in the appropriate blanks of its source code template, and writing the source code so generated by said translation objects to files and organizing said files into said application computer program. | 34. A process comprising the steps: A) controlling a computer with a validation program to validate a Formal Specification written in a formal language which has rules of syntax and semantics which define a grammar, said Formal Specification expressing in said formal language the information contained in a Conceptual Model of an application computer program being designed by a designer which is to be automatically translated by a translation program executing on a computer into working, final computer source code of said application computer program having a user interface and a database schema, said validating being carried out on a computer executing said validation program to ensure that said Formal Specification is complete in that there is no missing information and all required properties of elements in said Conceptual Model embodied in said Formal Specification are defined and have a value which is valid; B) controlling said computer using said validation program so as to use said rules of grammar of whatever formal language said Formal Specification is written in, to ensure said Formal Specification is correct in that the statements in said Formal Specification have correct syntax and are semantically correct, consistent and not ambiguous; and C) controlling said computer using said validation program to use rules of grammar that are specific to each different type of formula in said Conceptual Model and a validation process which is specific to each different type of formula in said Conceptual Model to validate each formula expressed in the Formal Specification; and wherein said Conceptual Model comprises an object model, a dynamic model, a functional model and a presentation model, and further comprising the step of using a computer to automatically translate said Formal Specification into full, working, bug-free source code of said application computer program after steps A and B and C have been completed and all elements of said Formal Specification including all said formulas have been validated to ensure they have correct syntax and are semantically complete and correct, said automatic translation process comprising: creating translation object instances in memory of a computer each of which is designed to create source code of a different type and each of which stores a source code template which has blanks in it for requirements data which will be extracted from said Formal Specification after it has been validated and that will customize said source code to the requirements of said application computer program; using a code generation method of each said translation object instance to control a computer to extract said requirements data needed from said validated Formal Specification to fill in said blanks in each said source code template and storing said extracted requirements data in each said translation object instance; creating a code generation object and controlling a computer with a method which is part of said code generation object to make a list of the translation object instances which have been created and to call said code generation method of each said translation object in the proper order to cause said translation object to write source code by putting said extracted requirements data stored therein in the appropriate blanks of its source code template, and writing the source code so generated by said translation objects to files and organizing said files into said application computer program. 39. The process of claim 34 further comprising the step of displaying on a display of a computer diagrams and textual interactive dialogs which said a designer of said Conceptual Model can interact with to use object-oriented modelling techniques to define the classes of said Conceptual Model in an object model and to define a functional model, dynamic model and presentation model, all of said models being automatically converted by said computer to said Formal Specification written in the OASIS formal language, said object model including requirements data entered by said designer to define each class, and wherein said diagrams and textual interactive dialogs are structured to allow said designer to enter requirements data defining or selecting and defining the following elements of said Conceptual Model: a formula for a default value calculation of constant and variable attributes, services, event and transaction arguments, formulas that define local and global transactions, formulas to calculate specialization conditions for inheritance, derivation and valuation formulas including formulas to calculate the values of derived and variable attributes and formulas to calculate conditions, formulas to calculate static and dynamic constraints, formulas to calculate preconditions for actions carried out by events and transactions, formulas to calculate control conditions that control transitions between states in a State Transition Diagram, formulas to calculate conditions for triggers, display sets, filters, and population selection user interface patterns. | 0.770445 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.