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26. The method of claim 1 , further comprising translating, by the processor, the completed programming command to the target programming language. | 26. The method of claim 1 , further comprising translating, by the processor, the completed programming command to the target programming language. 27. The method of claim 26 wherein translating the completed programming command to the target programming language comprises converting, by the processor, the completed programming command into one or more instructions in the target programming language. | 0.90785 |
11. The system of claim 9 , wherein the determination module determines that the user has made the selection to include the document family in the results of the search by: determining that a search result represents a partial document family; determining that the user has selected, after performing the search, to expand the partial document family found in the search. | 11. The system of claim 9 , wherein the determination module determines that the user has made the selection to include the document family in the results of the search by: determining that a search result represents a partial document family; determining that the user has selected, after performing the search, to expand the partial document family found in the search. 12. The system of claim 11 , wherein the document family comprises the partial document family. | 0.96325 |
1. A method for generating one or more prediction models for a workflow composed of a plurality of activities, comprising: extracting one or more input features from input data from a plurality of previous executions of said plurality of activities and extracting one or more output features from output data from said plurality of previous executions of said plurality of activities, wherein said plurality of activities execute in one or more computing devices; automatically learning, using at least one processing device, a plurality of prediction functions from one or more input features and one or more output features of said workflow, wherein each of said prediction functions predicts at least one of said output features of at least one of said plurality of activities of said workflow based on one or more of said input features of said at least one activity of said workflow; selecting, using said at least one processing device, one of said plurality of prediction functions for each of said plurality of activities in said workflow based on a particular goal and a succession of said plurality of activities according to a definition of said workflow to generate a selected subset of prediction functions; combining, using said at least one processing device, said selected subset of said plurality of prediction functions to generate said one or more prediction models based on the succession of said plurality of activities according to the definition of said workflow, wherein each of said one or more prediction models predicts a final output feature of said workflow based on one or more of said input features extracted from one or more initial inputs of said workflow; and selecting an instantiation of said workflow for a given input and said particular goal by evaluating a plurality of said one or more prediction models. | 1. A method for generating one or more prediction models for a workflow composed of a plurality of activities, comprising: extracting one or more input features from input data from a plurality of previous executions of said plurality of activities and extracting one or more output features from output data from said plurality of previous executions of said plurality of activities, wherein said plurality of activities execute in one or more computing devices; automatically learning, using at least one processing device, a plurality of prediction functions from one or more input features and one or more output features of said workflow, wherein each of said prediction functions predicts at least one of said output features of at least one of said plurality of activities of said workflow based on one or more of said input features of said at least one activity of said workflow; selecting, using said at least one processing device, one of said plurality of prediction functions for each of said plurality of activities in said workflow based on a particular goal and a succession of said plurality of activities according to a definition of said workflow to generate a selected subset of prediction functions; combining, using said at least one processing device, said selected subset of said plurality of prediction functions to generate said one or more prediction models based on the succession of said plurality of activities according to the definition of said workflow, wherein each of said one or more prediction models predicts a final output feature of said workflow based on one or more of said input features extracted from one or more initial inputs of said workflow; and selecting an instantiation of said workflow for a given input and said particular goal by evaluating a plurality of said one or more prediction models. 7. The method of claim 1 , wherein said one or more output features of a given activity are propagated through said workflow as one or more input features of one or more activities following said given activity of said workflow. | 0.56338 |
1. A method of providing authoritative identity recognition of a user at a device to an accessed service for authentication including a client application, a device agent, a service agent, a broker agent, a broker service, a user service authentication code (SAC), a device asset identification number (AIN), an account number, a pre-authentication token, and a one-time user token, the method comprising: registering, of the user with the broker agent, to create a password and a user identification code (UIC) for the user, linked to the account number associated with a group of users; registering, by the user at the device with the broker agent, the device to create a device profile comprising of at least the received unique device identifiers required to generate a device watermark and a device pre-shared key, and to create a device AIN for the device; registering, by the user, a plurality of services with the broker agent using service profiles, wherein a service profile comprises of a service principal name (SPN), a username associated with the SPN, a password, and a device AIN, and further wherein the password is encrypted at the device using the device watermark and the user SAC; storing, by the broker agent, in a broker repository, the registered user, device, and service profiles; accessing, by the user at the device, a service, wherein the device agent is executing on the device and the service agent is executing on the accessed service; clicking, by the user, on a service icon displayed by the client application on the device via the service agent of the accessed service to provide consent for identity recognition; prompting, by the client application, to receive the user SAC from the user; generating, by the device agent for the client application, a user token request containing the device AIN, the account number, a timestamp, a digital signature generated using the device watermark and the timestamp, the service principal name, the username associated with the SPN, and optionally a received digitally signed service identifier via the service agent; sending the generated user token request by the device agent to the broker agent; processing the received user token request by the broker agent to generate a one-time user token linked to the accessed service, comprising of the encrypted password or a pre-authentication token issued for the user by the accessed service to the broker agent using the username and a secret key; sending the generated one-time user token by the broker agent to the device agent; decrypting, by the device agent at the device, the encrypted password in the received one-time user token using the device watermark and the user SAC; forwarding, by the device agent, the decrypted password or the pre-authentication token with the one-time user token, via the client application, to the service agent of the accessed service; verifying, by the service agent of the accessed service with the broker agent, the one-time user token received from the client application; authenticating, by the accessed service, the user based on the received password or pre-authentication token included with the verified one-time user token; and notifying the user, by the broker agent, of successful and failed authentication attempts to access the service from the device. | 1. A method of providing authoritative identity recognition of a user at a device to an accessed service for authentication including a client application, a device agent, a service agent, a broker agent, a broker service, a user service authentication code (SAC), a device asset identification number (AIN), an account number, a pre-authentication token, and a one-time user token, the method comprising: registering, of the user with the broker agent, to create a password and a user identification code (UIC) for the user, linked to the account number associated with a group of users; registering, by the user at the device with the broker agent, the device to create a device profile comprising of at least the received unique device identifiers required to generate a device watermark and a device pre-shared key, and to create a device AIN for the device; registering, by the user, a plurality of services with the broker agent using service profiles, wherein a service profile comprises of a service principal name (SPN), a username associated with the SPN, a password, and a device AIN, and further wherein the password is encrypted at the device using the device watermark and the user SAC; storing, by the broker agent, in a broker repository, the registered user, device, and service profiles; accessing, by the user at the device, a service, wherein the device agent is executing on the device and the service agent is executing on the accessed service; clicking, by the user, on a service icon displayed by the client application on the device via the service agent of the accessed service to provide consent for identity recognition; prompting, by the client application, to receive the user SAC from the user; generating, by the device agent for the client application, a user token request containing the device AIN, the account number, a timestamp, a digital signature generated using the device watermark and the timestamp, the service principal name, the username associated with the SPN, and optionally a received digitally signed service identifier via the service agent; sending the generated user token request by the device agent to the broker agent; processing the received user token request by the broker agent to generate a one-time user token linked to the accessed service, comprising of the encrypted password or a pre-authentication token issued for the user by the accessed service to the broker agent using the username and a secret key; sending the generated one-time user token by the broker agent to the device agent; decrypting, by the device agent at the device, the encrypted password in the received one-time user token using the device watermark and the user SAC; forwarding, by the device agent, the decrypted password or the pre-authentication token with the one-time user token, via the client application, to the service agent of the accessed service; verifying, by the service agent of the accessed service with the broker agent, the one-time user token received from the client application; authenticating, by the accessed service, the user based on the received password or pre-authentication token included with the verified one-time user token; and notifying the user, by the broker agent, of successful and failed authentication attempts to access the service from the device. 2. The method of claim 1 , wherein the device watermark is dynamically generated in memory by a hash function using the device pre-shared key, shared by the broker agent with the device agent over a secure channel, and device identifiers associated with the registered device, autonomously at the device by the device agent, and at the broker agent using the device AIN, and further wherein the device watermark is not stored on the user's device or on the broker server in memory or on storage media or transmitted on the network. | 0.664436 |
13. The computer system of claim 12 , further comprising program code for selecting one or more rules based at least in part on the sentiment of the retrieved post. | 13. The computer system of claim 12 , further comprising program code for selecting one or more rules based at least in part on the sentiment of the retrieved post. 14. The computer system of claim 13 , further comprising program code for performing at least one associated action based at least in part on the selected one or more rules. | 0.874452 |
9. The method of claim 1 , wherein the step of transforming includes: creating a pool, the pool being initially empty, for each actor in the use case, wherein a start event and one or more end events are associated with said each actor, creating a start event in the pool representing an initiating actor of a first action in the use case and processing each sentence of the use case in sequence to create a flow of activities in the process model; creating connectors according to a sequence of activities in the in-memory model; and linking final activity to an end event. | 9. The method of claim 1 , wherein the step of transforming includes: creating a pool, the pool being initially empty, for each actor in the use case, wherein a start event and one or more end events are associated with said each actor, creating a start event in the pool representing an initiating actor of a first action in the use case and processing each sentence of the use case in sequence to create a flow of activities in the process model; creating connectors according to a sequence of activities in the in-memory model; and linking final activity to an end event. 10. The method of claim 9 , wherein the step of transforming further includes: transforming one or more exceptions in the in-memory model into gateway-s of the process model. | 0.861997 |
1. A method for use with a speech-enabled application, the method comprising: receiving, from the speech-enabled application, input comprising a plurality of text strings; identifying a first portion of a first text string of the plurality of text strings as differing from a corresponding first portion of a second text string of the plurality of text strings, and a second portion of the first text string as not differing from a corresponding second portion of the second text string; assigning contrastive stress to the first portion of the first text string and/or to the corresponding first portion of the second text string, but not to the second portion of the first text string, and not to the corresponding second portion of the second text string; generating, using at least one computer system, speech synthesis output to render the plurality of text strings as speech having the assigned contrastive stress; and providing the speech synthesis output for the speech-enabled application. | 1. A method for use with a speech-enabled application, the method comprising: receiving, from the speech-enabled application, input comprising a plurality of text strings; identifying a first portion of a first text string of the plurality of text strings as differing from a corresponding first portion of a second text string of the plurality of text strings, and a second portion of the first text string as not differing from a corresponding second portion of the second text string; assigning contrastive stress to the first portion of the first text string and/or to the corresponding first portion of the second text string, but not to the second portion of the first text string, and not to the corresponding second portion of the second text string; generating, using at least one computer system, speech synthesis output to render the plurality of text strings as speech having the assigned contrastive stress; and providing the speech synthesis output for the speech-enabled application. 2. The method of claim 1 , wherein the identifying comprises identifying the first portion of the first text string as differing from the corresponding first portion of the second text string based at least in part on a normalized orthography of the first and second text strings. | 0.609215 |
1. A method for creating a structured report that aggregates information related to a plurality of source code files based on selective scanning of one or more repositories, the method comprising: providing a user interface operable to access a source repository; receiving, from a user via the user interface, a repository search request, the search request including a repository identifier associated with the source repository in which source code files are stored for a plurality of software projects, a project identifier associated with a specified software project corresponding to one of the plurality of software projects stored within the source repository, and a search term; scanning the specified repository for source code files corresponding to the specified software project in response to the search request to identify source code files for the specified software project that include the search term; determining whether an instance of the search term within the source code files corresponds to a reserved term based on a context or usage of the instance of the search term within the source code, the reserved term being associated with a programming language implemented within the source code files; creating, in response to the search request, a new file directory in a non-transitory computer-readable medium; generating a report identifying the source code files that include an instance of the search term, the report including a line number in the source code of the source code files at which the instance of the search term is found, a name of a software module within the source code at which the instance of search term is found, and a segment of the source code that contains the instance of the search term, the segment of code indicating whether the instance of the search term corresponds to the reserved term; populating the new file directory with a first results file including the report and a second results file including a further report, the further report identifying the source code files for specified software project in the specified repository that do not include the search term; and updating the user interface, responsive to populating the new file directory with a first results file and the second results file, to display content from the first results file and the second file, wherein the updating comprises displaying the segment of the source code that contains the instance of the search term, the segment of code indicating whether the instance of the search term corresponds to the reserved term. | 1. A method for creating a structured report that aggregates information related to a plurality of source code files based on selective scanning of one or more repositories, the method comprising: providing a user interface operable to access a source repository; receiving, from a user via the user interface, a repository search request, the search request including a repository identifier associated with the source repository in which source code files are stored for a plurality of software projects, a project identifier associated with a specified software project corresponding to one of the plurality of software projects stored within the source repository, and a search term; scanning the specified repository for source code files corresponding to the specified software project in response to the search request to identify source code files for the specified software project that include the search term; determining whether an instance of the search term within the source code files corresponds to a reserved term based on a context or usage of the instance of the search term within the source code, the reserved term being associated with a programming language implemented within the source code files; creating, in response to the search request, a new file directory in a non-transitory computer-readable medium; generating a report identifying the source code files that include an instance of the search term, the report including a line number in the source code of the source code files at which the instance of the search term is found, a name of a software module within the source code at which the instance of search term is found, and a segment of the source code that contains the instance of the search term, the segment of code indicating whether the instance of the search term corresponds to the reserved term; populating the new file directory with a first results file including the report and a second results file including a further report, the further report identifying the source code files for specified software project in the specified repository that do not include the search term; and updating the user interface, responsive to populating the new file directory with a first results file and the second results file, to display content from the first results file and the second file, wherein the updating comprises displaying the segment of the source code that contains the instance of the search term, the segment of code indicating whether the instance of the search term corresponds to the reserved term. 4. The method of claim 1 , wherein a plurality of repository identifiers associated with a plurality of source repositories is received. | 0.580576 |
19. The method according to claim 14 and wherein said manipulator tool is a manipulation window. | 19. The method according to claim 14 and wherein said manipulator tool is a manipulation window. 20. The method according to claim 19 and wherein said generating at least one section manipulator tool comprises performing zooming and zoom-related calculations and creating said manipulation window. | 0.952944 |
14. A computerized method of performing word recognition comprising: receiving a word input signal containing non-textual user input representing a sequence of one or more words; performing word recognition upon the input signal to produce a choice list of best scoring recognition candidates, each comprised of a sequence of one or more words, found by the recognizer to have the best probability of corresponding to the input signal; producing a visual display representing a choice list of the best scoring recognition candidates, with the candidates being ordered in said choice list according to a character ordering of the sequence of characters corresponding to the one or more words associated with each candidate in the list; providing a user interface which enables a user to select one of the character-ordered recognition candidates from the choice list; and responding to user selection of one of the recognition candidates from the choice list by treating the selected candidate as the one or more words that correspond to the word input signal; wherein: the character-ordered list is an alphabetically ordered list; and the display of an individual recognition candidates in the list includes a sequence of one or more alphabetically spelled words; said user interface allows the user to select a filtering sequence of one or more letter-indications after said display of the character-ordered list of best scoring recognition candidates; the user interface that allows the use to select a sequence of one or more letter-indications allows a user to select a desired number of characters from the start of a string of alphabetic characters contained within a selected one of the recognition candidates displayed in the choice list; and said user interface response to such a selection by using the selected one or more characters as all or part of said sequence of one or more letter-indications; and said method further includes: responding to the selection of said filtering sequence by generating and showing on said display a new alphabetized choice list of recognition candidates, which new choice list is limited to candidates whose sequence of one or more characters start with said filtering sequence; causing said user interface to enable a user to select one of the alphabetized recognition candidates from the new choice list; and responding to a user selection of one of the recognition candidates in the new choice list by treating the selected candidate as the one or more words that correspond to the word input signal. | 14. A computerized method of performing word recognition comprising: receiving a word input signal containing non-textual user input representing a sequence of one or more words; performing word recognition upon the input signal to produce a choice list of best scoring recognition candidates, each comprised of a sequence of one or more words, found by the recognizer to have the best probability of corresponding to the input signal; producing a visual display representing a choice list of the best scoring recognition candidates, with the candidates being ordered in said choice list according to a character ordering of the sequence of characters corresponding to the one or more words associated with each candidate in the list; providing a user interface which enables a user to select one of the character-ordered recognition candidates from the choice list; and responding to user selection of one of the recognition candidates from the choice list by treating the selected candidate as the one or more words that correspond to the word input signal; wherein: the character-ordered list is an alphabetically ordered list; and the display of an individual recognition candidates in the list includes a sequence of one or more alphabetically spelled words; said user interface allows the user to select a filtering sequence of one or more letter-indications after said display of the character-ordered list of best scoring recognition candidates; the user interface that allows the use to select a sequence of one or more letter-indications allows a user to select a desired number of characters from the start of a string of alphabetic characters contained within a selected one of the recognition candidates displayed in the choice list; and said user interface response to such a selection by using the selected one or more characters as all or part of said sequence of one or more letter-indications; and said method further includes: responding to the selection of said filtering sequence by generating and showing on said display a new alphabetized choice list of recognition candidates, which new choice list is limited to candidates whose sequence of one or more characters start with said filtering sequence; causing said user interface to enable a user to select one of the alphabetized recognition candidates from the new choice list; and responding to a user selection of one of the recognition candidates in the new choice list by treating the selected candidate as the one or more words that correspond to the word input signal. 16. A method as in claim 14 wherein the user interface includes a pointing device and allows the use to select a sequence of one or more letter-indications by dragging the pointing device over a desired number of characters from the start of a string of alphabetic characters contained within a selected one of the recognition candidates displayed in the choice list. | 0.608398 |
8. An apparatus for generating a recommendation, the apparatus comprising: a processor; and a memory to store computer program instructions, the computer program instructions when executed on the processor cause the processor to perform operations comprising: selecting a plurality of members from a user defined community; retrieving a rating for a particular interest from each of the plurality of members, the particular interest based on a user-defined recommendation request; generating a respective perturbed rating for each rating from the plurality of members such that there is a predetermined probability that each rating is different from its respective perturbed rating; aggregating each of the perturbed ratings to generate an aggregated perturbed rating; and generating the recommendation based on the aggregated perturbed rating. | 8. An apparatus for generating a recommendation, the apparatus comprising: a processor; and a memory to store computer program instructions, the computer program instructions when executed on the processor cause the processor to perform operations comprising: selecting a plurality of members from a user defined community; retrieving a rating for a particular interest from each of the plurality of members, the particular interest based on a user-defined recommendation request; generating a respective perturbed rating for each rating from the plurality of members such that there is a predetermined probability that each rating is different from its respective perturbed rating; aggregating each of the perturbed ratings to generate an aggregated perturbed rating; and generating the recommendation based on the aggregated perturbed rating. 12. The apparatus of claim 8 , wherein: the community is split into a plurality of disjoint sampling groups; each particular disjoint sampling group in the plurality of disjoint sampling groups has a particular size; the particular sizes decrease exponentially from a first size to a second size; and the plurality of members selected from the disjoint sampling group with the smallest size such that an accuracy level of the plurality of perturbed rating data is greater than or equal to a user-defined accuracy level. | 0.5 |
1. A user-interface method of selecting and presenting a subset of content items of a first dataspace in which at least one content item of the subset is selected at least in part based on content preferences of the user learned from the user selecting content of a second dataspace, the method comprising: providing access to a first collection of content items of a first dataspace, each content item of the first collection having at least one associated descriptive term to describe the content item; providing access to a second collection of content items of a second dataspace, each content item of the second collection having at least one associated descriptive term to describe the content item; receiving selection actions of content items of the second collection from the user; a computer system determining a user preference signature by analyzing the descriptive terms of the selected content items of the second collection to learn the content preferences of the user for the content of the second dataspace; determining a relationship between the content items of the first dataspace and the content items of the second dataspace, the relationship defining which learned user content preferences of the user preference signature are relevant to the content items of the first dataspace; and subsequent to learning the content preferences of the user, selecting and presenting to the user at least one content item of the first dataspace based on the learned content preferences of the user determined to be relevant to the content items of the first dataspace. | 1. A user-interface method of selecting and presenting a subset of content items of a first dataspace in which at least one content item of the subset is selected at least in part based on content preferences of the user learned from the user selecting content of a second dataspace, the method comprising: providing access to a first collection of content items of a first dataspace, each content item of the first collection having at least one associated descriptive term to describe the content item; providing access to a second collection of content items of a second dataspace, each content item of the second collection having at least one associated descriptive term to describe the content item; receiving selection actions of content items of the second collection from the user; a computer system determining a user preference signature by analyzing the descriptive terms of the selected content items of the second collection to learn the content preferences of the user for the content of the second dataspace; determining a relationship between the content items of the first dataspace and the content items of the second dataspace, the relationship defining which learned user content preferences of the user preference signature are relevant to the content items of the first dataspace; and subsequent to learning the content preferences of the user, selecting and presenting to the user at least one content item of the first dataspace based on the learned content preferences of the user determined to be relevant to the content items of the first dataspace. 5. The method of claim 1 , wherein the first dataspace and second dataspace are different dataspaces. | 0.691313 |
11. A method of inputting and editing text on an electronic device with a user interface comprising at least one input system which detects input actions of a user to generate and edit text, and at least one text presentation system through which said text is presented to said user, the method comprising: recording the location of a text insertion position within said text presentation system where a next generated textual object will be output; detecting a distinctive input action to identify one or more of said textual objects previously output to said text presentation system; identifying one or more of said textual objects previously output based on the detected distinctive input action; determining one or more alternate textual objects that correspond to one or more detected input actions from which said identified one or more textual objects was previously determined; replacing said identified previously output one or more textual objects with one or more of said determined alternate textual objects; and restoring said text insertion position to a location recorded prior to said detecting of said distinctive input action. | 11. A method of inputting and editing text on an electronic device with a user interface comprising at least one input system which detects input actions of a user to generate and edit text, and at least one text presentation system through which said text is presented to said user, the method comprising: recording the location of a text insertion position within said text presentation system where a next generated textual object will be output; detecting a distinctive input action to identify one or more of said textual objects previously output to said text presentation system; identifying one or more of said textual objects previously output based on the detected distinctive input action; determining one or more alternate textual objects that correspond to one or more detected input actions from which said identified one or more textual objects was previously determined; replacing said identified previously output one or more textual objects with one or more of said determined alternate textual objects; and restoring said text insertion position to a location recorded prior to said detecting of said distinctive input action. 22. The method of claim 11 , further comprising automatically identifying one of said determined alternate textual objects which replaces said identified textual object as being the alternate textual object that is determined to be the next most closely corresponding textual object to said detected input actions. | 0.620778 |
1. A computer program product for a search engine, the computer program product comprising: one or more computer-readable storage media and program instructions of the search engine stored on the one or more computer-readable storage media, the program instructions comprising: program instructions to receive a search expression; program instructions to extract, using a search term extractor of the search engine, two or more query terms of the search expression; program instructions to determine two or more nodes representing a first term of the two or more query terms and at least one node representing a second term of the two or more query terms, wherein the two or more nodes each have an associated text for search term expansion and represent at least one concept in a semantic graph of nodes that represents a domain of semantically related concepts; program instructions to determine a center of focus within the semantic graph for the two or more nodes based, at least in part, on a spreading activation in the semantic graph; program instructions to determine a contextual relevance for the two or more nodes with respect to the center of focus based, at least in part, on an assessment of semantic similarity for the two or more nodes with respect to the center of focus; program instructions to select for a query term, which is included in the two or more query terms of the search expression, at least one node from the two or more nodes based, at least in part, on a contextual relevance between the at least one node and the determined center of focus; program instructions to generate an expanded search expression by expanding the search expression using an associated text of the at least one node; and program instructions to generate, by the search engine, an output of search results by executing a search using the expanded search expression. | 1. A computer program product for a search engine, the computer program product comprising: one or more computer-readable storage media and program instructions of the search engine stored on the one or more computer-readable storage media, the program instructions comprising: program instructions to receive a search expression; program instructions to extract, using a search term extractor of the search engine, two or more query terms of the search expression; program instructions to determine two or more nodes representing a first term of the two or more query terms and at least one node representing a second term of the two or more query terms, wherein the two or more nodes each have an associated text for search term expansion and represent at least one concept in a semantic graph of nodes that represents a domain of semantically related concepts; program instructions to determine a center of focus within the semantic graph for the two or more nodes based, at least in part, on a spreading activation in the semantic graph; program instructions to determine a contextual relevance for the two or more nodes with respect to the center of focus based, at least in part, on an assessment of semantic similarity for the two or more nodes with respect to the center of focus; program instructions to select for a query term, which is included in the two or more query terms of the search expression, at least one node from the two or more nodes based, at least in part, on a contextual relevance between the at least one node and the determined center of focus; program instructions to generate an expanded search expression by expanding the search expression using an associated text of the at least one node; and program instructions to generate, by the search engine, an output of search results by executing a search using the expanded search expression. 3. The computer program product according to claim 1 wherein program instructions to select for a query term, which is included in the two or more query terms of the search expression, at least one node from the two or more nodes based, at least in part, on a contextual relevance between the at least one node and the determined center of focus include: program instructions to filter the two or more nodes based, at least in part, whether a given node of the two or more nodes has an amount of contextual relevance over a threshold for contextual relevance. | 0.546191 |
12. A method of operating a solid state memory device including multiple blocks, each block comprising an array of memory cells arranged in a plurality of pages, the method comprising: encoding data into inner code words and outer code words, the inner code words comprising data and parity information, each page of each block storing at least one inner code word, the outer code words comprising data symbols and parity symbols, one or more pages of each block storing one or more symbols of each outer code word; reading the inner code words and the outer code words from the memory device; correcting errors in the data using the inner code words and the outer code words; and providing an error corrected output from the corrected data. | 12. A method of operating a solid state memory device including multiple blocks, each block comprising an array of memory cells arranged in a plurality of pages, the method comprising: encoding data into inner code words and outer code words, the inner code words comprising data and parity information, each page of each block storing at least one inner code word, the outer code words comprising data symbols and parity symbols, one or more pages of each block storing one or more symbols of each outer code word; reading the inner code words and the outer code words from the memory device; correcting errors in the data using the inner code words and the outer code words; and providing an error corrected output from the corrected data. 15. The method of claim 12 , wherein the pages of each block are arranged in multiple planes, and storing the inner code words and the outer code words in the memory device comprises storing at least one symbol of each outer codeword in each page of the multiple planes. | 0.5 |
1. A system comprising: a memory; a computer processor; a model engine executing on the computer processor and configured to: obtain a context managed entity from a client system; query a managed entity repository to obtain a plurality of managed entities linked to the context managed entity, wherein the plurality of managed entities comprises a software managed entity, a first hardware managed entity, and a second hardware managed entity; generate a node in a topology model object for each of the plurality of managed entities; and generate a plurality of link objects in the topology model object for a plurality of relationships between the plurality of managed entities, wherein the plurality of link objects comprises a containment link object; and a graphing engine executing on the computer processor and configured to: obtain the topology model object from the model engine; render a topology graph comprising each node and each link object in the topology model object by arranging each node into tiers; and expand the containment link object in the topology graph to show a containment link between the first hardware managed entity nesting as a hardware component within the second hardware managed entity. | 1. A system comprising: a memory; a computer processor; a model engine executing on the computer processor and configured to: obtain a context managed entity from a client system; query a managed entity repository to obtain a plurality of managed entities linked to the context managed entity, wherein the plurality of managed entities comprises a software managed entity, a first hardware managed entity, and a second hardware managed entity; generate a node in a topology model object for each of the plurality of managed entities; and generate a plurality of link objects in the topology model object for a plurality of relationships between the plurality of managed entities, wherein the plurality of link objects comprises a containment link object; and a graphing engine executing on the computer processor and configured to: obtain the topology model object from the model engine; render a topology graph comprising each node and each link object in the topology model object by arranging each node into tiers; and expand the containment link object in the topology graph to show a containment link between the first hardware managed entity nesting as a hardware component within the second hardware managed entity. 2. The system of claim 1 , wherein the tiers comprise a web tier, a middleware tier, and a database tier. | 0.685507 |
10. A system for detecting character encodings of text streams, the system comprising: an identification module programmed to identify a request to identify a character encoding of a text stream; a division module programmed to divide the text stream to identify a plurality of n-grams within the text stream; a vector module programmed to identify a plurality of vectors within a vector space, each vector representing a potential character encoding by a plurality of expected n-grams within the potential character encoding; a generation module programmed to generate, based at least in part on the plurality of n-grams within the text stream and based at least in part on an inverse frequency of appearance of each of the plurality of n-grams within the plurality of vectors, a representative vector describing the text stream; a similarity module programmed to identify the character encoding of the text stream based on identifying a similarity between the representative vector and a neighboring vector within the plurality of vectors representing the character encoding; at least one processor configured to execute the identification module, the division module, the vector module, the generation module, and the similarity module. | 10. A system for detecting character encodings of text streams, the system comprising: an identification module programmed to identify a request to identify a character encoding of a text stream; a division module programmed to divide the text stream to identify a plurality of n-grams within the text stream; a vector module programmed to identify a plurality of vectors within a vector space, each vector representing a potential character encoding by a plurality of expected n-grams within the potential character encoding; a generation module programmed to generate, based at least in part on the plurality of n-grams within the text stream and based at least in part on an inverse frequency of appearance of each of the plurality of n-grams within the plurality of vectors, a representative vector describing the text stream; a similarity module programmed to identify the character encoding of the text stream based on identifying a similarity between the representative vector and a neighboring vector within the plurality of vectors representing the character encoding; at least one processor configured to execute the identification module, the division module, the vector module, the generation module, and the similarity module. 11. The system of claim 10 , wherein the generation module is programmed to generate the representative vector describing the text stream by, for each n-gram within the plurality n-grams, generating an importance value for the n-gram by: identifying a term frequency with which the n-gram appears in the text stream; identifying the inverse frequency of appearance of the n-gram by calculating a logarithm of an inverse of a proportion of vectors within the plurality of vectors including the n-gram; weighting the term frequency by the inverse frequency of appearance. | 0.519976 |
8. A system for processing queries for points of interest (POIs) using a map structure with multiple levels, the system comprising: a storage device that stores a set of instructions; and at least one processor configured to execute the set of instructions in order to: determine a weight assigned to each level of the map structure on which at least one match between a query for a POI and a document was found; calculate a geographic score based in part on a distance between a location associated with the query and a location of the at least one matched document; calculate a relevance score based on at least one of information in the query, preference information, or information associated with the at least one matched document; calculate an overall score for each match based on at least one of the weight assigned to the level on which the match was found, the geographic score, or the relevance score; rank documents matched for the query based on the overall scores; and provide a list of the ranked documents. | 8. A system for processing queries for points of interest (POIs) using a map structure with multiple levels, the system comprising: a storage device that stores a set of instructions; and at least one processor configured to execute the set of instructions in order to: determine a weight assigned to each level of the map structure on which at least one match between a query for a POI and a document was found; calculate a geographic score based in part on a distance between a location associated with the query and a location of the at least one matched document; calculate a relevance score based on at least one of information in the query, preference information, or information associated with the at least one matched document; calculate an overall score for each match based on at least one of the weight assigned to the level on which the match was found, the geographic score, or the relevance score; rank documents matched for the query based on the overall scores; and provide a list of the ranked documents. 13. The system of claim 8 , wherein the at least one processor further executes the set of instructions to: calculate an overall score by normalizing at least one of the geographic score or the relevance score. | 0.52705 |
1. A computer-implemented method comprising: identifying, by one or more processors, a candidate parent entity from an entity set, wherein the entity set comprises a plurality of entities, and wherein the candidate parent entity comprises an entity identified as having one or more characteristics indicative of the entity having a parent hierarchical relationship to another entity of the entity set; identifying, by the one or more processors, a candidate child entity set from the entity set, wherein the candidate child entity set comprises entities of the entity set that are each identified as having one or more characteristics indicative of the entity having a child hierarchical relationship to the candidate parent entity; and for each entity of the candidate child entity set: comparing, by the one or more processor, characteristics of the candidate parent entity to characteristics of the entity of the candidate child entity set to determine whether a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set; and in response to determining that a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set, updating, by the one or more processors, a hierarchical index to reflect the hierarchical relationship between the candidate parent entity and the entity of the candidate child entity set. | 1. A computer-implemented method comprising: identifying, by one or more processors, a candidate parent entity from an entity set, wherein the entity set comprises a plurality of entities, and wherein the candidate parent entity comprises an entity identified as having one or more characteristics indicative of the entity having a parent hierarchical relationship to another entity of the entity set; identifying, by the one or more processors, a candidate child entity set from the entity set, wherein the candidate child entity set comprises entities of the entity set that are each identified as having one or more characteristics indicative of the entity having a child hierarchical relationship to the candidate parent entity; and for each entity of the candidate child entity set: comparing, by the one or more processor, characteristics of the candidate parent entity to characteristics of the entity of the candidate child entity set to determine whether a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set; and in response to determining that a hierarchical relationship exists between the candidate parent entity and the entity of the candidate child entity set, updating, by the one or more processors, a hierarchical index to reflect the hierarchical relationship between the candidate parent entity and the entity of the candidate child entity set. 17. The method of claim 1 , wherein the entity set comprises entities corresponding to an indexed listing of entities generated based on crawling of Internet websites. | 0.858472 |
3. The method of claim 1, wherein indicating whether the second hypertext document has been updated includes displaying an updated status indicator proximate the hypertext link definition. | 3. The method of claim 1, wherein indicating whether the second hypertext document has been updated includes displaying an updated status indicator proximate the hypertext link definition. 4. The method of claim 3, wherein the updated status indicator includes an icon disposed immediately adjacent the hypertext link definition. | 0.941424 |
1. A method of synchronizing text with audio in a multimedia file, wherein the multimedia file includes previously synchronized video and audio, wherein the multimedia file has a start time and a stop time that defines a timeline for the multimedia file, wherein the frames of the video and the corresponding audio are each associated with respective points in time along the timeline, comprising the steps of: receiving the multimedia file and parsing the audio therefrom, but maintaining the timeline synchronization between the video and the audio; receiving closed-captioned data associated with the multimedia file, wherein the closed-captioned data contains closed-captioned text, wherein each word of the closed-captioned text is associated with a corresponding word spoken in the audio, wherein each word of the closed-captioned text has a high degree of accuracy with the corresponding word spoken in the audio but a low correlation with the respective point in time along the timeline at which the corresponding word was spoken in the audio; using automated speech recognition (ASR) software, generating ASR text of the parsed audio, wherein each word of the ASR text is associated approximately with the corresponding words spoken in the audio, wherein each word of the ASR text has a lower degree of accuracy with the corresponding words spoken in the audio than the respective words of the closed-captioned text but a high correlation with the respective point in time along the timeline at which the corresponding word was spoken in the audio; thereafter, using N-gram analysis, comparing each word of the closed-captioned text with a plurality of words of the ASR text until a match is found; for each matched word from the closed-captioned text, associating therewith the respective point in time along the timeline of the matched word from the ASR text corresponding therewith, whereby each closed-captioned word is associated with a respective point on the timeline corresponding to the same point in time on the timeline in which the word is actually spoken in the audio and occurs within the video. | 1. A method of synchronizing text with audio in a multimedia file, wherein the multimedia file includes previously synchronized video and audio, wherein the multimedia file has a start time and a stop time that defines a timeline for the multimedia file, wherein the frames of the video and the corresponding audio are each associated with respective points in time along the timeline, comprising the steps of: receiving the multimedia file and parsing the audio therefrom, but maintaining the timeline synchronization between the video and the audio; receiving closed-captioned data associated with the multimedia file, wherein the closed-captioned data contains closed-captioned text, wherein each word of the closed-captioned text is associated with a corresponding word spoken in the audio, wherein each word of the closed-captioned text has a high degree of accuracy with the corresponding word spoken in the audio but a low correlation with the respective point in time along the timeline at which the corresponding word was spoken in the audio; using automated speech recognition (ASR) software, generating ASR text of the parsed audio, wherein each word of the ASR text is associated approximately with the corresponding words spoken in the audio, wherein each word of the ASR text has a lower degree of accuracy with the corresponding words spoken in the audio than the respective words of the closed-captioned text but a high correlation with the respective point in time along the timeline at which the corresponding word was spoken in the audio; thereafter, using N-gram analysis, comparing each word of the closed-captioned text with a plurality of words of the ASR text until a match is found; for each matched word from the closed-captioned text, associating therewith the respective point in time along the timeline of the matched word from the ASR text corresponding therewith, whereby each closed-captioned word is associated with a respective point on the timeline corresponding to the same point in time on the timeline in which the word is actually spoken in the audio and occurs within the video. 8. The method of claim 1 wherein N represents the number of words to be analyzed. | 0.617307 |
1. A method for setting media device operation preferences in a media device, the method comprising: receiving streamed program content at the media device having a program of interest therein, wherein the program of interest includes at least a video portion, a native language audio portion and a foreign language audio portion; detecting, at a remote control signal detector residing in the media device, a remote control communication signal transmitted from a remote control, wherein the remote control communication signal includes a unique identifier that identifies the transmitting remote control; identifying, at the media device, the remote control based on the unique identifier in the detected remote control communication signal; determining a language preference that is associated with the identified transmitting remote control based on the unique identifier; and selecting, at the media device, one of the native language audio portion and the foreign language audio portion based on the determined language preference. | 1. A method for setting media device operation preferences in a media device, the method comprising: receiving streamed program content at the media device having a program of interest therein, wherein the program of interest includes at least a video portion, a native language audio portion and a foreign language audio portion; detecting, at a remote control signal detector residing in the media device, a remote control communication signal transmitted from a remote control, wherein the remote control communication signal includes a unique identifier that identifies the transmitting remote control; identifying, at the media device, the remote control based on the unique identifier in the detected remote control communication signal; determining a language preference that is associated with the identified transmitting remote control based on the unique identifier; and selecting, at the media device, one of the native language audio portion and the foreign language audio portion based on the determined language preference. 7. The method of claim 1 , wherein the media device is configured to receive electronic program guide (EPG) information in a native language, and in response to receiving an instruction requesting presentation of an EPG from the transmitting remote control associated with the determined language preference, the method further comprising: translating the native language EPG information into foreign language EPG information; and generating the EPG using the foreign language EPG information. | 0.826694 |
14. A method of presenting news content to a user with a computing system within a graphical interface comprising: a) determining a first user geographic region associated with the user; b) identifying a first breaking news story containing content for a first event; wherein said first breaking news story is determined by the computing system to be a first instance of an electronic publication of content for said first event from a set of reference content sources; c) automatically determining a target region associated with said first event by analyzing content of said first breaking news story; d) determining if said first event in said target geographic region is related to said first user geographic region; e) automatically selecting one or more local sources with the computing system to collect local content for stories associated with said first event; wherein said one or more local sources include news sources within or proximate to said geographic region; f) automatically identifying story updates to said first event by examining content published electronically by said one or more local sources; wherein for said identifying step (f) said local content is given a news rank higher than rankings of content from other content sources at least for identifying story updates associated with said first event to be presented to the user for said first user geographic region within the graphical interface. | 14. A method of presenting news content to a user with a computing system within a graphical interface comprising: a) determining a first user geographic region associated with the user; b) identifying a first breaking news story containing content for a first event; wherein said first breaking news story is determined by the computing system to be a first instance of an electronic publication of content for said first event from a set of reference content sources; c) automatically determining a target region associated with said first event by analyzing content of said first breaking news story; d) determining if said first event in said target geographic region is related to said first user geographic region; e) automatically selecting one or more local sources with the computing system to collect local content for stories associated with said first event; wherein said one or more local sources include news sources within or proximate to said geographic region; f) automatically identifying story updates to said first event by examining content published electronically by said one or more local sources; wherein for said identifying step (f) said local content is given a news rank higher than rankings of content from other content sources at least for identifying story updates associated with said first event to be presented to the user for said first user geographic region within the graphical interface. 22. The method of claim 14 wherein said news rank is determined by computing a timeliness score for said one or more local sources. | 0.593653 |
13. The one or more computer storage media of claim 9 , wherein the associating includes assigning the candidate phrase to a single online encyclopedia entry. | 13. The one or more computer storage media of claim 9 , wherein the associating includes assigning the candidate phrase to a single online encyclopedia entry. 14. The one or more computer storage media of claim 13 , wherein the assigning includes disambiguating between a plurality of online encyclopedia entries based at least in part on one or both of text similarity between the web page and the plurality of online encyclopedia entries or category agreement between category tag(s) of each candidate phrase and categories of the plurality of online encyclopedia entries. | 0.807692 |
10. A computer readable storage medium containing a program which, when executed, performs an operation for providing access to data in a database, comprising: receiving, from a requesting entity, a search request for data available through a database abstraction model, wherein the database abstraction model provides: (i) a plurality of logical fields each specifying an access method for accessing data in the database; and (ii) at least one model entity that specifies an identifier in the database used to identify instances of the model entity and further specifies a set of the logical fields used to access data related to the model entity, wherein the identifier comprises a primary key of a table in the database, and wherein the search request specifies the model entity to be searched and at least one search term; identifying, of the set of logical fields related to the model entity, logical fields that are candidates for containing data matching the at least one search term; accessing, for each instance of the model entity in the database, data for each of the identified logical fields using the access method specified for the respective identified logical field; identifying, for each instance, whether the accessed data contains the at least one search term, and if so, adding the identifier for the specific instance of the model entity to a set of search results; and returning the search results to the requesting entity. | 10. A computer readable storage medium containing a program which, when executed, performs an operation for providing access to data in a database, comprising: receiving, from a requesting entity, a search request for data available through a database abstraction model, wherein the database abstraction model provides: (i) a plurality of logical fields each specifying an access method for accessing data in the database; and (ii) at least one model entity that specifies an identifier in the database used to identify instances of the model entity and further specifies a set of the logical fields used to access data related to the model entity, wherein the identifier comprises a primary key of a table in the database, and wherein the search request specifies the model entity to be searched and at least one search term; identifying, of the set of logical fields related to the model entity, logical fields that are candidates for containing data matching the at least one search term; accessing, for each instance of the model entity in the database, data for each of the identified logical fields using the access method specified for the respective identified logical field; identifying, for each instance, whether the accessed data contains the at least one search term, and if so, adding the identifier for the specific instance of the model entity to a set of search results; and returning the search results to the requesting entity. 13. The computer readable storage medium of claim 10 , wherein the set of the logical fields used to access data related to the model entity are identified by an abstract record, wherein the abstract record identifies a hierarchy for the set of logical fields, and wherein the logical field used to access the identifier for the model entity is placed at the root of the hierarchy. | 0.575662 |
1. A computer-implemented method comprising: storing information in a datastore, the information corresponding to a plurality of computer applications, wherein the plurality of computer applications have associated annotations, the annotations comprising a verb describing one or more activities performed by an associated application and a noun describing work objects on which the activities are performed, and wherein users access the applications in the datastore; receiving an input from a user; providing a first verb and a first noun corresponding to a user intent based on said input; and specifying one or more of said plurality of applications based on the verb and noun annotations for the plurality of applications and the first verb and first noun corresponding to the user intent. | 1. A computer-implemented method comprising: storing information in a datastore, the information corresponding to a plurality of computer applications, wherein the plurality of computer applications have associated annotations, the annotations comprising a verb describing one or more activities performed by an associated application and a noun describing work objects on which the activities are performed, and wherein users access the applications in the datastore; receiving an input from a user; providing a first verb and a first noun corresponding to a user intent based on said input; and specifying one or more of said plurality of applications based on the verb and noun annotations for the plurality of applications and the first verb and first noun corresponding to the user intent. 8. The method of claim 1 wherein the user input selects a first application and the first verb and first noun are annotations associated with the first application. | 0.640716 |
12. A method for linking external data files to an application program executing on at least one processor, wherein during execution the application program provides displays of a user interface substantially entirely as a raster pattern of pixels and which is not capable of directly rendering data in the external data file, the method comprising: causing display data displayed in a graphic representation by the application program during execution thereof to be retrieved, the display data comprising a selected data area corresponding to at least one area of the graphic representation; processing, at the at least one processor, the display data through an artificial neural network trained to identify recognized data from selected data within the selected data area of the graphic representation thereof, the artificial neural network comprising a raster neural network, a feature neural network, and a vector neural network, and wherein analyzing the character data comprises: analyzing rectangular coordinates and a binary color of the character data at the raster neural network to generate a first character data value; analyzing feature data of the character data at feature neural network to generate a second character data value; analyzing vectors corresponding to an outline of the character data at the vector neural network to generate a third character data value; and voting on the first, second, and third character data values to identify the recognized data; storing recognized data from the graphic representation thereof in a non-graphic format; and associating the recognized selected data with an external data file external to the application program at the at least one processor, the application program being incapable of directly rendering data from the external data file. | 12. A method for linking external data files to an application program executing on at least one processor, wherein during execution the application program provides displays of a user interface substantially entirely as a raster pattern of pixels and which is not capable of directly rendering data in the external data file, the method comprising: causing display data displayed in a graphic representation by the application program during execution thereof to be retrieved, the display data comprising a selected data area corresponding to at least one area of the graphic representation; processing, at the at least one processor, the display data through an artificial neural network trained to identify recognized data from selected data within the selected data area of the graphic representation thereof, the artificial neural network comprising a raster neural network, a feature neural network, and a vector neural network, and wherein analyzing the character data comprises: analyzing rectangular coordinates and a binary color of the character data at the raster neural network to generate a first character data value; analyzing feature data of the character data at feature neural network to generate a second character data value; analyzing vectors corresponding to an outline of the character data at the vector neural network to generate a third character data value; and voting on the first, second, and third character data values to identify the recognized data; storing recognized data from the graphic representation thereof in a non-graphic format; and associating the recognized selected data with an external data file external to the application program at the at least one processor, the application program being incapable of directly rendering data from the external data file. 17. The method of claim 12 wherein: the graphic representation of the selected data comprises a raster representation of the selected data; a set of graphic features are extracted from the raster representation; and the artificial neural network system identifies the recognized data from the set of graphic features. | 0.633266 |
1. A method comprising: receiving a search query; obtaining a plurality of search results for the search query from a search engine, wherein each search result identifies a respective search result resource, and wherein the plurality of search results includes one or more search results that identify search result resources that are in a particular site; using a site quality score for the particular site to rank the plurality of search results; and determining the site quality score for the particular site, comprising: determining a numerator that is a function of a first count of textually unique queries submitted to the search engine that have been categorized as referring to the particular site, wherein each such textually unique query is counted once in the first count; determining a denominator that is a function of a second count of textually unique queries submitted to the search engine that have been associated with resources in the particular site, wherein each such textually unique query is counted once in the second count; and determining the site quality score for the particular site as a ratio of the numerator and the denominator. | 1. A method comprising: receiving a search query; obtaining a plurality of search results for the search query from a search engine, wherein each search result identifies a respective search result resource, and wherein the plurality of search results includes one or more search results that identify search result resources that are in a particular site; using a site quality score for the particular site to rank the plurality of search results; and determining the site quality score for the particular site, comprising: determining a numerator that is a function of a first count of textually unique queries submitted to the search engine that have been categorized as referring to the particular site, wherein each such textually unique query is counted once in the first count; determining a denominator that is a function of a second count of textually unique queries submitted to the search engine that have been associated with resources in the particular site, wherein each such textually unique query is counted once in the second count; and determining the site quality score for the particular site as a ratio of the numerator and the denominator. 7. The method of claim 1 , wherein two queries that have the same terms and differ only in the order of the terms are counted as the different unique queries. | 0.855978 |
3. A system for automating the issuance, management and conveyance of endorsements to authorities, the system comprising: an endorsement issuance module configured to issue an endorsement associated with an endorsee, wherein the issued endorsement prescribes to specified endorsement issuance, rule definitions provided by one or more authorities, the endorsement issuance module further comprising: an endorsee identification unit that retrieves at least one credential from said endorsee via an input device, wherein each credential provides for at least one endorsement from at least one authority and wherein each credential includes a digital seal that restricts access to the credential from at least one other authority different from the at least one authority; and an endorsement creation unit for adding at least one new endorsement to at least one of said credentials, said new endorsement added within a private field of a digital seal of a bar code; an endorsement conveyance module configured to receive the new endorsement from the endorsement issuance module, and to validate the new endorsement according to specified endorsement conveyance rules; and an endorsement management module configured to maintain specified rules according to an endorsement management module, wherein results of endorsement validation are presented to at least one of the following: an automated environment for providing access to endorsee, an automated environment for recording validation results, a display for providing validation results to a user. | 3. A system for automating the issuance, management and conveyance of endorsements to authorities, the system comprising: an endorsement issuance module configured to issue an endorsement associated with an endorsee, wherein the issued endorsement prescribes to specified endorsement issuance, rule definitions provided by one or more authorities, the endorsement issuance module further comprising: an endorsee identification unit that retrieves at least one credential from said endorsee via an input device, wherein each credential provides for at least one endorsement from at least one authority and wherein each credential includes a digital seal that restricts access to the credential from at least one other authority different from the at least one authority; and an endorsement creation unit for adding at least one new endorsement to at least one of said credentials, said new endorsement added within a private field of a digital seal of a bar code; an endorsement conveyance module configured to receive the new endorsement from the endorsement issuance module, and to validate the new endorsement according to specified endorsement conveyance rules; and an endorsement management module configured to maintain specified rules according to an endorsement management module, wherein results of endorsement validation are presented to at least one of the following: an automated environment for providing access to endorsee, an automated environment for recording validation results, a display for providing validation results to a user. 10. The system of claim 3 , further comprising an issued registrations database capable of uploading registrations to the authority. | 0.623006 |
1. A method of accelerating system documentation conformance to differentiated regulations of multiple countries, the method comprising: prepopulating, by a computer system, one or more tables in a relational database system with documentation specifications specifying documentation attributes corresponding to a plurality of transaction types and a plurality of countries; processing, by the computer system, information indicative of an enterprise structure, the information indicating at least: a first set of attributes corresponding to a set of one or more legal entities; and a second set of attributes corresponding to a set of one or more ledgers; based at least in part on the information indicative of the enterprise structure, identifying, by the computer system, one or more countries of the plurality of countries that correspond to the enterprise structure; determining, by the computer system, country-specific rules corresponding to the one or more countries, the country-specific rules defining requirements pertaining to documentation of transactions; selecting, by the computer system, a first subset of documentation attributes of the document attributes based at least in part on the country-specific rules, the first subset of documentation attributes specifying one or more documentation options pertaining to at least a first transaction type; selecting, by the computer system, a second subset of documentation attributes of the document attributes based at least in part on the country-specific rules, the second subset of documentation attributes specifying one or more documentation options pertaining to at least a second transaction type of the plurality of transaction types; based at least in part on the first subset of documentation attributes, the second subset of documentation attributes, and the information indicative of the enterprise structure, generating, by the computer system, a set of objects to facilitate setup of an accounting program, the set of objects comprising: a first subset of one or more objects corresponding to the set of one or more legal entities; a second subset of one or more objects corresponding to the set of one or more ledgers; and a third subset of one or more objects corresponding to an accounting calendar; populating, by an acceleration engine, the set of objects with specifications of sequencing options; storing, by the acceleration engine, the set of objects in association with the accounting program, and configuring the accounting program in accordance with the specifications of sequencing options to: generate a first series of transaction records of the first transaction type so that each transaction of the first series of transaction records is associated with the first subset of documentation attributes, the generating the first series of transaction records comprising creating a first sequence of the first series of transaction records in accordance with a first set of sequence attributes; and generate a second series of transaction records of the second transaction type so that each transaction of the second series of transaction records is associated with the second subset of documentation attributes, the generating the second series of transaction records comprising creating a second sequence of the second series of transaction records in accordance with a second set of sequence attributes. | 1. A method of accelerating system documentation conformance to differentiated regulations of multiple countries, the method comprising: prepopulating, by a computer system, one or more tables in a relational database system with documentation specifications specifying documentation attributes corresponding to a plurality of transaction types and a plurality of countries; processing, by the computer system, information indicative of an enterprise structure, the information indicating at least: a first set of attributes corresponding to a set of one or more legal entities; and a second set of attributes corresponding to a set of one or more ledgers; based at least in part on the information indicative of the enterprise structure, identifying, by the computer system, one or more countries of the plurality of countries that correspond to the enterprise structure; determining, by the computer system, country-specific rules corresponding to the one or more countries, the country-specific rules defining requirements pertaining to documentation of transactions; selecting, by the computer system, a first subset of documentation attributes of the document attributes based at least in part on the country-specific rules, the first subset of documentation attributes specifying one or more documentation options pertaining to at least a first transaction type; selecting, by the computer system, a second subset of documentation attributes of the document attributes based at least in part on the country-specific rules, the second subset of documentation attributes specifying one or more documentation options pertaining to at least a second transaction type of the plurality of transaction types; based at least in part on the first subset of documentation attributes, the second subset of documentation attributes, and the information indicative of the enterprise structure, generating, by the computer system, a set of objects to facilitate setup of an accounting program, the set of objects comprising: a first subset of one or more objects corresponding to the set of one or more legal entities; a second subset of one or more objects corresponding to the set of one or more ledgers; and a third subset of one or more objects corresponding to an accounting calendar; populating, by an acceleration engine, the set of objects with specifications of sequencing options; storing, by the acceleration engine, the set of objects in association with the accounting program, and configuring the accounting program in accordance with the specifications of sequencing options to: generate a first series of transaction records of the first transaction type so that each transaction of the first series of transaction records is associated with the first subset of documentation attributes, the generating the first series of transaction records comprising creating a first sequence of the first series of transaction records in accordance with a first set of sequence attributes; and generate a second series of transaction records of the second transaction type so that each transaction of the second series of transaction records is associated with the second subset of documentation attributes, the generating the second series of transaction records comprising creating a second sequence of the second series of transaction records in accordance with a second set of sequence attributes. 2. The method of accelerating system documentation conformance to differentiated regulations of multiple countries of claim 1 , wherein the documentation attributes comprise a set of attributes pertaining to sequencing requirements. | 0.69661 |
1. A computer implemented method of incorporating author feedback on placement of advertising in a webpage comprising: receiving, by at least one computer, a webpage created by an author and at least one cluster of candidate advertisements, wherein the webpage comprises content and the candidate advertisements are topically similar to the content of the webpage; ranking, by the computer, the candidate advertisements by degree of topical similarity to the webpage content; pairing, by the computer, the ranked candidate advertisements to the webpage content; receiving, by the computer, feedback provided by the author of the webpage regarding the placement of the candidate advertisements within the webpage, wherein the feedback comprises at least one of a binary opinion of the author on relevance of the candidate advertisement to the webpage and a binary opinion of the author on appropriateness of the candidate advertisement to the webpage; retrieving, by the computer, a credibility score corresponding to click-through rates of previous advertisements upon which feedback has been provided; ranking, by the computer, the candidate advertisements based on the feedback of the author and the credibility score; selecting, by the computer, at least one advertisement from among the candidate advertisements for incorporation into the webpage; transmitting, by the computer, the selected advertisement to a user; receiving, at the computer, a selection of a link corresponding to the incorporated advertisement; wherein if the author has a credibility score, incrementing, by the computer, the author credibility score based on the selection of the link; and wherein if the author does not have a credibility score, creating, by the computer, the author credibility score based on the selection of the link. | 1. A computer implemented method of incorporating author feedback on placement of advertising in a webpage comprising: receiving, by at least one computer, a webpage created by an author and at least one cluster of candidate advertisements, wherein the webpage comprises content and the candidate advertisements are topically similar to the content of the webpage; ranking, by the computer, the candidate advertisements by degree of topical similarity to the webpage content; pairing, by the computer, the ranked candidate advertisements to the webpage content; receiving, by the computer, feedback provided by the author of the webpage regarding the placement of the candidate advertisements within the webpage, wherein the feedback comprises at least one of a binary opinion of the author on relevance of the candidate advertisement to the webpage and a binary opinion of the author on appropriateness of the candidate advertisement to the webpage; retrieving, by the computer, a credibility score corresponding to click-through rates of previous advertisements upon which feedback has been provided; ranking, by the computer, the candidate advertisements based on the feedback of the author and the credibility score; selecting, by the computer, at least one advertisement from among the candidate advertisements for incorporation into the webpage; transmitting, by the computer, the selected advertisement to a user; receiving, at the computer, a selection of a link corresponding to the incorporated advertisement; wherein if the author has a credibility score, incrementing, by the computer, the author credibility score based on the selection of the link; and wherein if the author does not have a credibility score, creating, by the computer, the author credibility score based on the selection of the link. 5. The computer implemented method of claim 1 , wherein the author credibility score is based on the user's selection of a link corresponding to an advertisement that is similar to an advertisement on which negative feedback has been provided, and wherein the similar advertisement and the advertisement on which negative feedback has been provided are in a same cluster. | 0.5 |
1. A computer-implemented method, comprising: receiving, at a computing device having one or more processors, a first set of digital audio signals; comparing, at the computing device, a signal amplitude of the first set of digital audio signals to a first threshold; when the signal amplitude of the first set of digital audio signals exceeds the first threshold: obtaining, at the computing device, a first translation of the first set of digital audio signals from speech of a first language into translated speech of a second language, and outputting, at the computing device, the first translation; and when the signal amplitude of the first set of digital audio signals does not exceed the first threshold, comparing the signal amplitude of the first set of digital audio signals to a second threshold, and when the signal amplitude of the first set of digital audio signals exceeds the second threshold: obtaining, at the computing device, a second translation of the first set of digital audio signals from speech of the second language into translated speech of the first language, and outputting, at the computing device, the second translation. | 1. A computer-implemented method, comprising: receiving, at a computing device having one or more processors, a first set of digital audio signals; comparing, at the computing device, a signal amplitude of the first set of digital audio signals to a first threshold; when the signal amplitude of the first set of digital audio signals exceeds the first threshold: obtaining, at the computing device, a first translation of the first set of digital audio signals from speech of a first language into translated speech of a second language, and outputting, at the computing device, the first translation; and when the signal amplitude of the first set of digital audio signals does not exceed the first threshold, comparing the signal amplitude of the first set of digital audio signals to a second threshold, and when the signal amplitude of the first set of digital audio signals exceeds the second threshold: obtaining, at the computing device, a second translation of the first set of digital audio signals from speech of the second language into translated speech of the first language, and outputting, at the computing device, the second translation. 7. The computer-implemented method of claim 1 , further comprising selecting, at the computing device, the second language based upon a geographic location of the computing device. | 0.661922 |
10. A computing device, comprising: one or more processors; memory; and one or more programs stored in the memory configured for execution by the one or more processors, the one or more programs comprising instructions for: displaying a user interface for an electronic messaging application, wherein the user interface includes a list of messages received by a user, and each displayed message includes a respective message summary comprising (i) a subject line of the displayed message and (ii) additional context information including an initial portion of the displayed message; receiving from the user a description of a first task associated with a first message of the displayed messages, wherein the user provides the description, in the user interface, using an annotation box, which allows the user to edit the description and to specify a type for the description; designating the description as a first annotation associated with the first message using the annotation box in the user interface, allowing the user to save the first task associated with the first message of the displayed messages; and updating the displayed messages in the list of messages, including replacing the message summary of the first message with the first annotation and a corresponding visual cue. | 10. A computing device, comprising: one or more processors; memory; and one or more programs stored in the memory configured for execution by the one or more processors, the one or more programs comprising instructions for: displaying a user interface for an electronic messaging application, wherein the user interface includes a list of messages received by a user, and each displayed message includes a respective message summary comprising (i) a subject line of the displayed message and (ii) additional context information including an initial portion of the displayed message; receiving from the user a description of a first task associated with a first message of the displayed messages, wherein the user provides the description, in the user interface, using an annotation box, which allows the user to edit the description and to specify a type for the description; designating the description as a first annotation associated with the first message using the annotation box in the user interface, allowing the user to save the first task associated with the first message of the displayed messages; and updating the displayed messages in the list of messages, including replacing the message summary of the first message with the first annotation and a corresponding visual cue. 14. The computing device of claim 10 , wherein the one or more programs further comprise instructions for: receiving one or more descriptions of additional tasks associated with the first message; storing each description of an additional task as an additional annotation associated with the first message; and updating the displayed messages in the list of messages, including replacing the message summary of the first message with the first annotation and the additional annotations, each with a corresponding visual cue. | 0.546676 |
1. A method comprising: defining, by a computing device, information for a set of genomes, the set of genomes describing characteristics of media programs; defining, by the computing device, which genomes in the set of genomes correspond to which topics in a set of topics; inputting, by the computing device, textual information for a plurality of media programs and the information for the set of genomes into a model; training, by the computing device, the model to determine a probability distribution of terms for the set of topics based on analyzing the textual information and the information for the set of genomes, wherein training comprises incorporation a parameter that prevents topics from being submerged by other topics that are larger via a first item in the model; and outputting, by the computing device, the trained model, wherein the probability distribution of terms is usable to determine genomes for each of the plurality of media programs, wherein a genome corresponds to a topic and is associated with a media program based on terms found in the textual information for the media program and the probability distribution of terms for the topic corresponding to the genome. | 1. A method comprising: defining, by a computing device, information for a set of genomes, the set of genomes describing characteristics of media programs; defining, by the computing device, which genomes in the set of genomes correspond to which topics in a set of topics; inputting, by the computing device, textual information for a plurality of media programs and the information for the set of genomes into a model; training, by the computing device, the model to determine a probability distribution of terms for the set of topics based on analyzing the textual information and the information for the set of genomes, wherein training comprises incorporation a parameter that prevents topics from being submerged by other topics that are larger via a first item in the model; and outputting, by the computing device, the trained model, wherein the probability distribution of terms is usable to determine genomes for each of the plurality of media programs, wherein a genome corresponds to a topic and is associated with a media program based on terms found in the textual information for the media program and the probability distribution of terms for the topic corresponding to the genome. 9. The method of claim 1 , wherein defining information for the set of genomes comprises defining, by the computing device, the parameter for the model such that smaller topics are not submerged by larger topics. | 0.625146 |
19. A method, performed at least partially on a computer, for facilitating on-line communication among multiple instant messaging identities, the method comprising: detecting presence of a target instant messaging identity in a chat room that is accessible over a network of computers to instant messaging identities and who desires interaction with other instant messaging identities who are presently on-line in the chat room; presenting questions to the target instant messaging identity, at least one of the questions including selectable responses associated with the question; receiving, from the target instant messaging identity, responses to the questions; accessing, from computer-accessible memory, stored responses to the questions, at least one of the stored response having been received from another instant messaging identity and being associated with the other instant messaging identity who provided the response; comparing responses received from the target instant messaging identity to the accessed stored responses; identifying, based at least in part on results of the comparison, a group of less than all of instant messaging identities who are currently on-line; and using an instant messaging identity representing an instant messaging robot to introduce the identified group of instant messaging identities who are currently on-line to the target instant messaging identity and to introduce the target instant messaging identity to the identified group of instant messaging identities who are currently on-line. | 19. A method, performed at least partially on a computer, for facilitating on-line communication among multiple instant messaging identities, the method comprising: detecting presence of a target instant messaging identity in a chat room that is accessible over a network of computers to instant messaging identities and who desires interaction with other instant messaging identities who are presently on-line in the chat room; presenting questions to the target instant messaging identity, at least one of the questions including selectable responses associated with the question; receiving, from the target instant messaging identity, responses to the questions; accessing, from computer-accessible memory, stored responses to the questions, at least one of the stored response having been received from another instant messaging identity and being associated with the other instant messaging identity who provided the response; comparing responses received from the target instant messaging identity to the accessed stored responses; identifying, based at least in part on results of the comparison, a group of less than all of instant messaging identities who are currently on-line; and using an instant messaging identity representing an instant messaging robot to introduce the identified group of instant messaging identities who are currently on-line to the target instant messaging identity and to introduce the target instant messaging identity to the identified group of instant messaging identities who are currently on-line. 35. The method of claim 19 wherein the chat room comprises a chat room for on-line dating that is only available to instant messaging users during a predetermined daily time period. | 0.629155 |
19. A method of providing a security credential, comprising: receiving, by a security credential manager on at least one of one or more remote computing devices, a security credential specification from a network site; automatically generating, by the security credential manager on at least one of the one or more remote computing devices, the security credential required to access the network site based at least in part on the security credential specification; receiving, by at least one of the one or more remote computing devices, a request for the security credential from a client computing device, the security credential being stored in at least one of the one or more remote computing devices in association with a user account; providing, by at least one of the one or more remote computing devices, at a plurality of knowledge-based questions and a master security credential request to a user at the client computing device in response to the request; receiving, by at least one of the one or more remote computing devices, a master security credential and a plurality of answers to the plurality of knowledge-based questions from the user via the client computing device; generating, by at least one of the one or more remote computing devices, a score based at least in part on the plurality of answers to the plurality of knowledge-based questions, individual answers of the plurality of answers being assigned a different weight based at least in part on a recency of an event associated with a respective knowledge-based question of the plurality of knowledge-based questions; and providing, by at least one of the one or more remote computing devices, the security credential to the client computing device based at least in part on both the score meeting or exceeding a predefined threshold and the master security credential being valid. | 19. A method of providing a security credential, comprising: receiving, by a security credential manager on at least one of one or more remote computing devices, a security credential specification from a network site; automatically generating, by the security credential manager on at least one of the one or more remote computing devices, the security credential required to access the network site based at least in part on the security credential specification; receiving, by at least one of the one or more remote computing devices, a request for the security credential from a client computing device, the security credential being stored in at least one of the one or more remote computing devices in association with a user account; providing, by at least one of the one or more remote computing devices, at a plurality of knowledge-based questions and a master security credential request to a user at the client computing device in response to the request; receiving, by at least one of the one or more remote computing devices, a master security credential and a plurality of answers to the plurality of knowledge-based questions from the user via the client computing device; generating, by at least one of the one or more remote computing devices, a score based at least in part on the plurality of answers to the plurality of knowledge-based questions, individual answers of the plurality of answers being assigned a different weight based at least in part on a recency of an event associated with a respective knowledge-based question of the plurality of knowledge-based questions; and providing, by at least one of the one or more remote computing devices, the security credential to the client computing device based at least in part on both the score meeting or exceeding a predefined threshold and the master security credential being valid. 23. The method of claim 19 , wherein the security credential is generated to have a maximum security strength allowed by the security credential specification. | 0.560838 |
13. The method of claim 12 , further comprising: converting the phoneme graph to a word-phoneme graph, the word-phoneme graph assigning a word and associated phonetic transcription to each edge. | 13. The method of claim 12 , further comprising: converting the phoneme graph to a word-phoneme graph, the word-phoneme graph assigning a word and associated phonetic transcription to each edge. 17. The method according to claim 13 , wherein the word-phoneme graph includes time-synchronous information, the method further comprising: removing from the word-phoneme graph based, at least in part, on the time-synchronous information, words having no connection either forward or backward in time. | 0.825434 |
1. A programmable environmental controller, comprising: an local area network interface port configured to communicate digital data through a local area network; at least one climate sensor configured to sense environmental climate conditions; at least one movement sensor configured to detect a movement of an individual in a vicinity of the at least one movement sensor; and at least one automated processor configured to receive the sensed environmental climate conditions and the detected movement, to jointly classify a temporal pattern of the sensed environmental climate conditions and the detected movement, and to communicate at least one signal in dependence on the jointly classified pattern, the at least one signal being adapted to at least control an environmental control system. | 1. A programmable environmental controller, comprising: an local area network interface port configured to communicate digital data through a local area network; at least one climate sensor configured to sense environmental climate conditions; at least one movement sensor configured to detect a movement of an individual in a vicinity of the at least one movement sensor; and at least one automated processor configured to receive the sensed environmental climate conditions and the detected movement, to jointly classify a temporal pattern of the sensed environmental climate conditions and the detected movement, and to communicate at least one signal in dependence on the jointly classified pattern, the at least one signal being adapted to at least control an environmental control system. 2. The programmable environmental controller according to claim 1 , wherein the pattern recognition process is adaptive, and learns new classifications of patterns. | 0.85687 |
15. A computer-implemented method of processing mail documents returned to a financial institution, the method comprising: receiving, by a computer system, a plurality of returned mail documents in electronic form, wherein the computer system comprises at least one processor and operatively associated memory; extracting, by the computer system, metadata from the returned mail documents; correlating, by the computer system, a returned mail document selected from the plurality of returned mail documents to a first client account considering the extracted metadata; if the returned mail document comprises a forwarding address: generating, by the computer system, instructions for re-sending the returned mail document to the forwarding address; and updating, by the computer system a status of the first client account to reflect the forwarding address; identifying a branch office of the financial institution associated with the first client account; transmitting, by the computer system, information about the returned mail document to the branch office; determining, by the computer system, whether the returned mail document was sent prior to the last address change associated with the first client account; and if the returned mail document was sent prior to the last address change associated with the first client account, generating instructions for resending the returned mail document to a new address associated with the first client account; determining, by the computer system, whether any other mail documents correlated to the first client account have been returned; updating, by the computer system, the number of returned mail documents correlated to the first client account considering the mail document; conditioned upon the number of returned mail documents correlated to the first client account being greater than or equal to a predetermined number, marking the first client account undeliverable; conditioned upon the number of returned mail documents correlated to the first client account having been greater than or equal to a second predetermined number for greater than a predetermined time period, marking the first client account undeliverable, wherein the second predetermined number is less than the first predetermined number. | 15. A computer-implemented method of processing mail documents returned to a financial institution, the method comprising: receiving, by a computer system, a plurality of returned mail documents in electronic form, wherein the computer system comprises at least one processor and operatively associated memory; extracting, by the computer system, metadata from the returned mail documents; correlating, by the computer system, a returned mail document selected from the plurality of returned mail documents to a first client account considering the extracted metadata; if the returned mail document comprises a forwarding address: generating, by the computer system, instructions for re-sending the returned mail document to the forwarding address; and updating, by the computer system a status of the first client account to reflect the forwarding address; identifying a branch office of the financial institution associated with the first client account; transmitting, by the computer system, information about the returned mail document to the branch office; determining, by the computer system, whether the returned mail document was sent prior to the last address change associated with the first client account; and if the returned mail document was sent prior to the last address change associated with the first client account, generating instructions for resending the returned mail document to a new address associated with the first client account; determining, by the computer system, whether any other mail documents correlated to the first client account have been returned; updating, by the computer system, the number of returned mail documents correlated to the first client account considering the mail document; conditioned upon the number of returned mail documents correlated to the first client account being greater than or equal to a predetermined number, marking the first client account undeliverable; conditioned upon the number of returned mail documents correlated to the first client account having been greater than or equal to a second predetermined number for greater than a predetermined time period, marking the first client account undeliverable, wherein the second predetermined number is less than the first predetermined number. 16. The method of claim 15 , further comprising, if the returned mail document includes a forwarding address: updating an indicator associated with the first client account to indicate that the existing address associated with the first client account is undeliverable; generating instructions for resending the first returned mail to the forwarding address. | 0.580696 |
1. A method for incorporating a second edit into a first edit in an electronic document, comprising: receiving, by a processor of a review manager, the first edit and the second edit in the electronic document, the review manager managing concurrent updates to the electronic document by multiple users comprising a first user and a second user, the review manager comprising a processor and a memory unit; identifying, by the processor of the review manager, a shared position of the first edit and the second edit in the electronic document; determining, by the processor of the review manager based on the shared position of the first edit and the second edit in the electronic document, whether the second edit is privileged relative to the first edit by determining whether the first edit is made by the first user with a first set of permissions and the second edit is made by the second user with a second set of permissions larger than the first set of permissions; responsive to determining, based on the shared position of the first edit and the second edit in the electronic document, that the second edit is not privileged relative to the first edit, requiring, by the processor of the review manager, the second edit to be independently accepted prior to incorporating the second edit into the first edit; and responsive to determining, based on the shared position of the first edit and the second edit in the electronic document, that the second edit is privileged relative to the first edit, incorporating, by the processor of the review manager, the second edit into the first edit without requiring the second edit to be independently accepted, and responsive to receiving an acceptance of the first edit from an editor of the electronic document, causing, by the processor of the review manager, the first edit and the second edit to be automatically accepted. | 1. A method for incorporating a second edit into a first edit in an electronic document, comprising: receiving, by a processor of a review manager, the first edit and the second edit in the electronic document, the review manager managing concurrent updates to the electronic document by multiple users comprising a first user and a second user, the review manager comprising a processor and a memory unit; identifying, by the processor of the review manager, a shared position of the first edit and the second edit in the electronic document; determining, by the processor of the review manager based on the shared position of the first edit and the second edit in the electronic document, whether the second edit is privileged relative to the first edit by determining whether the first edit is made by the first user with a first set of permissions and the second edit is made by the second user with a second set of permissions larger than the first set of permissions; responsive to determining, based on the shared position of the first edit and the second edit in the electronic document, that the second edit is not privileged relative to the first edit, requiring, by the processor of the review manager, the second edit to be independently accepted prior to incorporating the second edit into the first edit; and responsive to determining, based on the shared position of the first edit and the second edit in the electronic document, that the second edit is privileged relative to the first edit, incorporating, by the processor of the review manager, the second edit into the first edit without requiring the second edit to be independently accepted, and responsive to receiving an acceptance of the first edit from an editor of the electronic document, causing, by the processor of the review manager, the first edit and the second edit to be automatically accepted. 2. The method of claim 1 , wherein the first user is a reviewer who has reviewer privileges associated with the electronic document that allow the reviewer to provide suggested edits to the electronic document and prohibit the reviewer from accepting or rejecting any suggested edits, and the second user is another editor who has editor privileges associated with the electronic document that allow any editor to accept and reject suggested edits provided by the reviewer. | 0.722482 |
6. The method of claim 1 , further comprising: buffering said received text input by a buffer within the MMI application framework. | 6. The method of claim 1 , further comprising: buffering said received text input by a buffer within the MMI application framework. 8. The method of claim 6 , further comprising: customizing at least one buffer feature of said buffer. | 0.944115 |
67. The method of claim 63 , wherein the plurality of data tunnels and respective operators relate to instances of an entity type wherein distinct instances of said entity type differ in structure. | 67. The method of claim 63 , wherein the plurality of data tunnels and respective operators relate to instances of an entity type wherein distinct instances of said entity type differ in structure. 70. The method of claim 67 , wherein a plurality of the data tunnels are characteristic data tunnels, and the plurality of characteristic data tunnels and respective operators relate to instances of an entity type wherein distinct instances of said entity type differ in structure. | 0.953076 |
4. The method of claim 3 , further comprising: (E) at the client, transmitting a speech recognition result request to the speech recognition server; and (F) at the speech recognition server: (F)(1) determining whether any speech recognition results are available; (F)(2) if no speech recognition results are available, returning to (F)(1); (F)(3) otherwise, transmitting at least one of the first and second speech recognition results to the client. | 4. The method of claim 3 , further comprising: (E) at the client, transmitting a speech recognition result request to the speech recognition server; and (F) at the speech recognition server: (F)(1) determining whether any speech recognition results are available; (F)(2) if no speech recognition results are available, returning to (F)(1); (F)(3) otherwise, transmitting at least one of the first and second speech recognition results to the client. 7. The method of claim 4 , wherein (D) comprises transmitting the speech stream and the control stream using a Hypertext Transfer Protocol over Secure Sockets Layer (HTTPS), and wherein (E) comprises transmitting the speech recognition result request using HTTPS. | 0.752708 |
1. A machine-implemented method, comprising: receiving an indication of a request from a user to view a stream associated with the user; generating a request for one or more items, of a plurality of items, that are visible to the user for display within the stream, wherein each of the plurality of items includes one or more user tokens up to a threshold number of user tokens, the one or more user tokens indicate viewability of the item by users associated with the one or more user tokens, wherein the request comprises a search query identifying search criteria including one or more tokens up to a threshold number of tokens, the one or more tokens includes at least a user token identifying the user, and wherein generating the request comprises: determining that a super followee token is to be included in the search query, the super followee token corresponding to a super followee user that owns an item visible to a number of users that meets a threshold number of users, replacing the super followee token with a super doc token when the included super followee token causes the one or more tokens to exceed the threshold number of tokens, the super doc token identifying a type of item owned by the super followee user; receiving one or more items in response to the request, the one or more items including at least one of the one or more tokens and further being visible to the user; and providing the one or more items for display to the user within the stream in response to the request. | 1. A machine-implemented method, comprising: receiving an indication of a request from a user to view a stream associated with the user; generating a request for one or more items, of a plurality of items, that are visible to the user for display within the stream, wherein each of the plurality of items includes one or more user tokens up to a threshold number of user tokens, the one or more user tokens indicate viewability of the item by users associated with the one or more user tokens, wherein the request comprises a search query identifying search criteria including one or more tokens up to a threshold number of tokens, the one or more tokens includes at least a user token identifying the user, and wherein generating the request comprises: determining that a super followee token is to be included in the search query, the super followee token corresponding to a super followee user that owns an item visible to a number of users that meets a threshold number of users, replacing the super followee token with a super doc token when the included super followee token causes the one or more tokens to exceed the threshold number of tokens, the super doc token identifying a type of item owned by the super followee user; receiving one or more items in response to the request, the one or more items including at least one of the one or more tokens and further being visible to the user; and providing the one or more items for display to the user within the stream in response to the request. 6. The method of claim 1 , further comprising: identifying the one or more items from the plurality of items, the plurality of items comprising items generated by one or more users and wherein each of the plurality of items is associated with one or more tokens including the one or more user tokens. | 0.593811 |
12. A method for improving user navigation of a multi-page document on a small screen user device, the method comprising: presenting one page of the multi-page document to a user on a screen of the small screen user device; caching the most recently viewed one or more pages of the multi-page document viewed by the user as the user progresses through the multi-page document; deleting cached data associated with one or more successive pages when the user goes back to an earlier page of the multi-page document; receiving a request from the user to view the multi-page document as a full-page document; comparing text of the cached most recently viewed pages to text of the full-page document to determine a first appearance of non-duplicative text in the full-page document; returning all pages of the full-page document together; and presenting the full-page document to the user with the screen of the small screen user device showing a page containing the first appearance of non-duplicative text in the full-page document. | 12. A method for improving user navigation of a multi-page document on a small screen user device, the method comprising: presenting one page of the multi-page document to a user on a screen of the small screen user device; caching the most recently viewed one or more pages of the multi-page document viewed by the user as the user progresses through the multi-page document; deleting cached data associated with one or more successive pages when the user goes back to an earlier page of the multi-page document; receiving a request from the user to view the multi-page document as a full-page document; comparing text of the cached most recently viewed pages to text of the full-page document to determine a first appearance of non-duplicative text in the full-page document; returning all pages of the full-page document together; and presenting the full-page document to the user with the screen of the small screen user device showing a page containing the first appearance of non-duplicative text in the full-page document. 14. The method of claim 12 , further comprising: storing the cached most recently viewed one or more pages on the small screen user device; generating a request, the request comprising the most recently viewed one or more pages; sending the request to a server; generating a response, the response comprising a tag to identify the first appearance of non-duplicative text; and sending the response to the small screen user device. | 0.5 |
8. A computer system for analyzing performance of components of a database cluster by transforming discrete events into a time series to identify dominant signals, the computer system comprising: a computer processor to execute a set of program code instructions; and a memory to hold the program code instructions, in which the program code instructions comprises program code to perform; sampling a plurality of discrete event measurements of the database cluster to produce a set of timestamped events, the database cluster comprising a plurality of nodes that share a shared resource, and the plurality of discrete event measurements obtained from multiple ones of the plurality of nodes; tagging at least one of the timestamped events sampled by one or more hardware components or one or more software components of the database cluster with a semantic tag, wherein tagging the at least one of the timestamped events with the semantic tag comprises assigning a state corresponding to the shared resource of the database cluster, the semantic tag includes at least a first state of waiting for the shared resource and a second state of obtaining access to the shared resource; generating a single magnitude value for a related set of the timestamped events for multiple sessions with respect to the semantic tag for the first state of waiting for the shared resource or the second state of obtaining access to the shared resource by applying different weighting factors to some or all of the sessions of the timestamped events corresponding to the first and second state to derive the single magnitude value; formatting the set of timestamped events into a time series, wherein a time series entry comprises a time indication and a plurality of values, at least one of the plurality of values corresponding to the single magnitude value generated for the related set of the semantic tag for the multiple sessions in the database cluster; and processing the time series to identify at least one state signal. | 8. A computer system for analyzing performance of components of a database cluster by transforming discrete events into a time series to identify dominant signals, the computer system comprising: a computer processor to execute a set of program code instructions; and a memory to hold the program code instructions, in which the program code instructions comprises program code to perform; sampling a plurality of discrete event measurements of the database cluster to produce a set of timestamped events, the database cluster comprising a plurality of nodes that share a shared resource, and the plurality of discrete event measurements obtained from multiple ones of the plurality of nodes; tagging at least one of the timestamped events sampled by one or more hardware components or one or more software components of the database cluster with a semantic tag, wherein tagging the at least one of the timestamped events with the semantic tag comprises assigning a state corresponding to the shared resource of the database cluster, the semantic tag includes at least a first state of waiting for the shared resource and a second state of obtaining access to the shared resource; generating a single magnitude value for a related set of the timestamped events for multiple sessions with respect to the semantic tag for the first state of waiting for the shared resource or the second state of obtaining access to the shared resource by applying different weighting factors to some or all of the sessions of the timestamped events corresponding to the first and second state to derive the single magnitude value; formatting the set of timestamped events into a time series, wherein a time series entry comprises a time indication and a plurality of values, at least one of the plurality of values corresponding to the single magnitude value generated for the related set of the semantic tag for the multiple sessions in the database cluster; and processing the time series to identify at least one state signal. 10. The computer system of claim 8 , wherein the time series comprises a series of vectors of state values. | 0.862033 |
2. The method of claim 1 , wherein the step of creating a trained model further comprises: evaluating, using the learning module, the optimized model based on conventional models determined for a test dataset; tuning, using the learning module, the optimized value for the at least one explicit parameter based on the evaluated optimized model; and creating, using the learning module, a trained model for each of the plurality of formulated tasks using the tuned value of the at least one explicit parameter and corresponding values of the one or more parameters. | 2. The method of claim 1 , wherein the step of creating a trained model further comprises: evaluating, using the learning module, the optimized model based on conventional models determined for a test dataset; tuning, using the learning module, the optimized value for the at least one explicit parameter based on the evaluated optimized model; and creating, using the learning module, a trained model for each of the plurality of formulated tasks using the tuned value of the at least one explicit parameter and corresponding values of the one or more parameters. 3. The method of claim 2 , wherein the optimized value for the at least one explicit parameter is tuned until a conditional log likelihood of a corresponding task among the plurality of formulated tasks is maximized, wherein the optimized value is tuned by varying the value of a predetermined weighted factor to optimize the corresponding one or more parameters for at least one task among the plurality of formulated tasks. | 0.828098 |
1. A method comprising: receiving, at a computing device, a request from a user, said request input by the user respective to a chatbot provided by the computing device, said request comprising a sequence of words; searching, via the computing device, a database based on said request, said search comprising identifying, within said database, a first response comprising a sequence of words; tokenizing, via the computing device, said first response, said tokenizing comprising identifying each identified word from said tokenizing of the first response as a token and tagging each token; creating, via the computing device, a set of bigrams based at least in part upon the tokenized first response, said bigrams comprising adjacent words in said first response; determining, via the computing device, a set of word patterns between each bigram based on a domain word-graph, said domain word-graph comprising nodes and edges, wherein each node corresponds to a word and each edge is a directional link between the nodes, said determination comprising determining a path within said domain word-graph between the words in each bigram, and identifying, based on said determined path, a set of word patterns along the path for each bigram; computing, via the computing device, scores for each word pattern in said set of word patterns, said computed scores indicating a co-occurrences, contextual similarity and linguistic quality between the words in the bigrams and the word patterns; selecting, via the computing device, a word pattern based on the computed scores; modifying, via the computing device, the first response by inserting the word pattern into said first response based on the bigram from which it was identified, said modification causing the creation of a second response; and communicating, via the computing device, said second response to said user in response to said request, for display of said communicated second response within a user interface (UI) associated with the chatbot. | 1. A method comprising: receiving, at a computing device, a request from a user, said request input by the user respective to a chatbot provided by the computing device, said request comprising a sequence of words; searching, via the computing device, a database based on said request, said search comprising identifying, within said database, a first response comprising a sequence of words; tokenizing, via the computing device, said first response, said tokenizing comprising identifying each identified word from said tokenizing of the first response as a token and tagging each token; creating, via the computing device, a set of bigrams based at least in part upon the tokenized first response, said bigrams comprising adjacent words in said first response; determining, via the computing device, a set of word patterns between each bigram based on a domain word-graph, said domain word-graph comprising nodes and edges, wherein each node corresponds to a word and each edge is a directional link between the nodes, said determination comprising determining a path within said domain word-graph between the words in each bigram, and identifying, based on said determined path, a set of word patterns along the path for each bigram; computing, via the computing device, scores for each word pattern in said set of word patterns, said computed scores indicating a co-occurrences, contextual similarity and linguistic quality between the words in the bigrams and the word patterns; selecting, via the computing device, a word pattern based on the computed scores; modifying, via the computing device, the first response by inserting the word pattern into said first response based on the bigram from which it was identified, said modification causing the creation of a second response; and communicating, via the computing device, said second response to said user in response to said request, for display of said communicated second response within a user interface (UI) associated with the chatbot. 9. The method of claim 1 , wherein said tagging is performed by the computing device executing a part-of-speech (POS) tagger associated with said domain. | 0.63008 |
1. A system configured to determine social graphs for individual users belonging to affiliations in virtual spaces accessible via electronic social networks, the system comprising: a non-transitory storage medium configured to store information; and one or more processors configured by machine-readable instructions to: manage affiliations within one or more online games that take place in one or more virtual spaces, a given affiliation within a given online game comprising a discrete group of three or more users with a relationship having a functional impact on cooperative gameplay between the users within the given online game, wherein the affiliations comprise a first affiliation within a first online game between a group of users including a first user, a second user, and a third user; manage one or more overarching affiliations, individual ones of the overarching affiliations encompassing two or more affiliations from different online games that include substantially the same group of users; manage relationships within one or more electronic social networks, a given relationship within a given electronic social network representing a reciprocal relationship between two or more users in the given electronic social network in which at least one of the two or more users has sent a request to other users to form a connection on a given electronic social network and where at least one of the other users has accepted the request, wherein the relationships comprise a first relationship within a first electronic social network between the first user and a fourth user; and determine social graphs associated with individual users based on the affiliations within the one or more online games, the relationships within the one or more electronic social networks, and the one or more overarching affiliations, a given social graph associated with the first user representing (1) a connection between the first user and the second user that corresponds to the first affiliation within the first online game, (2) a connection between the first user and the third user that corresponds to the first affiliation within the first online game, and (3) a connection between the first user and the fourth user that corresponds to the first relationship in the first electronic social network. | 1. A system configured to determine social graphs for individual users belonging to affiliations in virtual spaces accessible via electronic social networks, the system comprising: a non-transitory storage medium configured to store information; and one or more processors configured by machine-readable instructions to: manage affiliations within one or more online games that take place in one or more virtual spaces, a given affiliation within a given online game comprising a discrete group of three or more users with a relationship having a functional impact on cooperative gameplay between the users within the given online game, wherein the affiliations comprise a first affiliation within a first online game between a group of users including a first user, a second user, and a third user; manage one or more overarching affiliations, individual ones of the overarching affiliations encompassing two or more affiliations from different online games that include substantially the same group of users; manage relationships within one or more electronic social networks, a given relationship within a given electronic social network representing a reciprocal relationship between two or more users in the given electronic social network in which at least one of the two or more users has sent a request to other users to form a connection on a given electronic social network and where at least one of the other users has accepted the request, wherein the relationships comprise a first relationship within a first electronic social network between the first user and a fourth user; and determine social graphs associated with individual users based on the affiliations within the one or more online games, the relationships within the one or more electronic social networks, and the one or more overarching affiliations, a given social graph associated with the first user representing (1) a connection between the first user and the second user that corresponds to the first affiliation within the first online game, (2) a connection between the first user and the third user that corresponds to the first affiliation within the first online game, and (3) a connection between the first user and the fourth user that corresponds to the first relationship in the first electronic social network. 6. The system of claim 1 , wherein the one or more processors are further configured by machine-readable instructions to determine hierarchies associated with social graphs based on factors associated with online games and factors associated with electronic social networks, a given hierarchy associated with a given social graph representing a hierarchical order among connections of a given user, wherein a hierarchy associated with a social graph of the first user is determined based on factors associated with the first online game and factors associated with the first electronic social network. | 0.519344 |
1. A method of generating an application accessible by a user through one or more computer-based devices, the method comprising the steps of: representing interactions that the user is permitted to have with the one or more computer-based devices used to access the application by interaction-based programming components, wherein the interaction-based programming components are independent of content/application logic and presentation requirements associated with the application, and further wherein the interaction-based programming components may be transcoded on a component by component basis to generate one or more modality-specific renderings of the application renderable in accordance with one or more modality-specific browsers associated with the one or more computer-based devices, such that the interaction-based programming components are independent of any modality and any modality-specific browser; and authoring the application using at least a portion of the interaction-based programming components; wherein representation by the interaction-based programming components permits synchronization of the one or more modality-specific renderings of the application on the one or more computer-based devices. | 1. A method of generating an application accessible by a user through one or more computer-based devices, the method comprising the steps of: representing interactions that the user is permitted to have with the one or more computer-based devices used to access the application by interaction-based programming components, wherein the interaction-based programming components are independent of content/application logic and presentation requirements associated with the application, and further wherein the interaction-based programming components may be transcoded on a component by component basis to generate one or more modality-specific renderings of the application renderable in accordance with one or more modality-specific browsers associated with the one or more computer-based devices, such that the interaction-based programming components are independent of any modality and any modality-specific browser; and authoring the application using at least a portion of the interaction-based programming components; wherein representation by the interaction-based programming components permits synchronization of the one or more modality-specific renderings of the application on the one or more computer-based devices. 38. The method of claim 1 , wherein the components may be active in parallel. | 0.59973 |
11. The article of claim 10 , wherein source code of a user program to generate a compiled binary comprises compiling source code of the user program to generate a compiled binary that comprises multiple run-time function calls to the generic function, one for each of the sub-tasks. | 11. The article of claim 10 , wherein source code of a user program to generate a compiled binary comprises compiling source code of the user program to generate a compiled binary that comprises multiple run-time function calls to the generic function, one for each of the sub-tasks. 12. The article of claim 11 , wherein said instructions further provide for: during runtime execution of the compiled binary, dynamically selecting a hardware-specific variant of the run-time function for each of the sub-tasks. | 0.887062 |
10. A system for adjusting webpage layout, comprising one or more processors, memory, and one or more program units stored in the memory and to be executed by the one or more processors, the one or more program units comprising: a calculation unit configured to calculate a width for displaying an image on a webpage; a first determination unit configured to determine whether the image is inserted in a segment of text of the webpage by checking whether a parent node of the image includes a label representing a paragraph of text; a size adjustment unit configured to adjust a size of the image display based on a mobile terminal's screen width and the width for displaying the image, if the image is inserted in the segment of text of the webpage, wherein the size adjustment unit includes: a width adjustment module configured to set a width of the image display to the mobile terminal's screen width subtracting a fixed number of pixels; and a height adjustment module configured to set a height of the image display based on the width of the image display; and a label addition unit configured to add a label to the image display to force the image display to be left justified, while ignoring label attributes including at least one of text-align, indent, and margin. | 10. A system for adjusting webpage layout, comprising one or more processors, memory, and one or more program units stored in the memory and to be executed by the one or more processors, the one or more program units comprising: a calculation unit configured to calculate a width for displaying an image on a webpage; a first determination unit configured to determine whether the image is inserted in a segment of text of the webpage by checking whether a parent node of the image includes a label representing a paragraph of text; a size adjustment unit configured to adjust a size of the image display based on a mobile terminal's screen width and the width for displaying the image, if the image is inserted in the segment of text of the webpage, wherein the size adjustment unit includes: a width adjustment module configured to set a width of the image display to the mobile terminal's screen width subtracting a fixed number of pixels; and a height adjustment module configured to set a height of the image display based on the width of the image display; and a label addition unit configured to add a label to the image display to force the image display to be left justified, while ignoring label attributes including at least one of text-align, indent, and margin. 11. The system according to claim 10 , the one or more program units further comprising: a webpage adjustment confirmation unit configured to determine whether the image display needs to be adjusted; wherein the first determination unit is further configured to determine whether the width for displaying the image is different from a default value, or whether the screen width of the mobile terminal has changed. | 0.5 |
16. The computer-readable storage medium of claim 11 , wherein the process further comprises: receiving user input specifying an abstract query comprising one or more result fields for data returned from the database in a set of query results, each result field corresponding to a logical field specification of the data abstraction model. | 16. The computer-readable storage medium of claim 11 , wherein the process further comprises: receiving user input specifying an abstract query comprising one or more result fields for data returned from the database in a set of query results, each result field corresponding to a logical field specification of the data abstraction model. 18. The computer-readable storage medium of claim 16 , wherein the process further comprises: generating a data object comprising the abstract query and the classification field. | 0.865568 |
19. A non-transitory computer readable medium encoded with computer executable instructions for detecting a 3D anatomical object in a medical image volume, the computer executable instructions defining steps comprising: determining a constrained search range in the medical image volume based on a set of annotated training volumes; detecting position candidates in said constrained search range using a first trained classifier; generating position-orientation hypotheses from said position candidates based on orientation examples in said set of training volumes; detecting position-orientation candidates from said position-orientation hypotheses using a second classifier; generating similarity transformation hypotheses from said position-orientation candidates based on scale examples in said set of training volumes; detecting similarity transformation candidates from said similarity transformation hypotheses using a third trained classifier; and detecting said 3D anatomical object in the medical image volume based on at least one of said similarity transformation candidates. | 19. A non-transitory computer readable medium encoded with computer executable instructions for detecting a 3D anatomical object in a medical image volume, the computer executable instructions defining steps comprising: determining a constrained search range in the medical image volume based on a set of annotated training volumes; detecting position candidates in said constrained search range using a first trained classifier; generating position-orientation hypotheses from said position candidates based on orientation examples in said set of training volumes; detecting position-orientation candidates from said position-orientation hypotheses using a second classifier; generating similarity transformation hypotheses from said position-orientation candidates based on scale examples in said set of training volumes; detecting similarity transformation candidates from said similarity transformation hypotheses using a third trained classifier; and detecting said 3D anatomical object in the medical image volume based on at least one of said similarity transformation candidates. 27. The non-transitory computer readable medium of claim 19 , wherein the computer executable instructions defining the step of detecting said 3D anatomical object in the medical image volume based on at least one of said similarity transformation candidates comprise computer executable instructions defining the step of: detecting said 3D anatomical object as having a position, orientation, and scale of a similarity transformation candidate having a highest probability. | 0.57377 |
36. A non-transitory computer-readable medium comprising instructions for coding video data that, when executed, cause a processor to: maintain a plurality of context models for entropy coding transform coefficients of the video data, wherein the plurality of context models includes one or more context models that are each used for a different transform unit size and at least one joint context model used for two or more transform unit sizes; select the joint context model shared by a first transform unit having a first size with transform coefficients that are zeroed out to generate a retained coefficient block of a second size and a second transform unit having the second size for entropy coding transform coefficients in one of the first transform unit with the retained coefficient block or the second transform unit, wherein the first size and the second size are different, and wherein each of the transform units comprises a residual video data unit including a plurality of blocks of transform coefficients; select contexts for transform coefficients associated with the one of the first transform unit with the retained coefficient block or the second transform unit according to the joint context model, wherein the instructions cause the processor to assign a context in the joint context model to a given one of the transform coefficients based on values of previously coded neighboring transform coefficients of the one of the transform units, and determine a probability estimate for a value of the given one of the transform coefficients associated with the assigned context in the joint context model; and entropy code the transform coefficients associated with the one of the transform units using context adaptive binary arithmetic coding (CABAC) based on the selected contexts. | 36. A non-transitory computer-readable medium comprising instructions for coding video data that, when executed, cause a processor to: maintain a plurality of context models for entropy coding transform coefficients of the video data, wherein the plurality of context models includes one or more context models that are each used for a different transform unit size and at least one joint context model used for two or more transform unit sizes; select the joint context model shared by a first transform unit having a first size with transform coefficients that are zeroed out to generate a retained coefficient block of a second size and a second transform unit having the second size for entropy coding transform coefficients in one of the first transform unit with the retained coefficient block or the second transform unit, wherein the first size and the second size are different, and wherein each of the transform units comprises a residual video data unit including a plurality of blocks of transform coefficients; select contexts for transform coefficients associated with the one of the first transform unit with the retained coefficient block or the second transform unit according to the joint context model, wherein the instructions cause the processor to assign a context in the joint context model to a given one of the transform coefficients based on values of previously coded neighboring transform coefficients of the one of the transform units, and determine a probability estimate for a value of the given one of the transform coefficients associated with the assigned context in the joint context model; and entropy code the transform coefficients associated with the one of the transform units using context adaptive binary arithmetic coding (CABAC) based on the selected contexts. 41. The non-transitory computer-readable medium of claim 36 , wherein the instructions comprise instructions for decoding video data, further comprising instructions that cause the processor to: receive a bitstream that represents encoded transform coefficients associated with the retained coefficient block within the first transform unit having the first size; select contexts for the encoded transform coefficients according to the joint context model; and entropy decode the encoded transform coefficients into the retained coefficient block within the first transform unit having the first size based on the selected contexts. | 0.539124 |
1. A method for providing simple generalized conservative visibility, comprising the steps of: providing one or more occluder nodes, wherein said one or more occluder nodes are planes having a given width and height in object space that block the rendering of objects behind them in world space; providing an activationDistance field which specifies how far a camera must be from an occluder node for said occluder node to be active; using said one or more occluder nodes to compute a conservative set of visible objects from a current view point; and rendering said conservative set of visible objects. | 1. A method for providing simple generalized conservative visibility, comprising the steps of: providing one or more occluder nodes, wherein said one or more occluder nodes are planes having a given width and height in object space that block the rendering of objects behind them in world space; providing an activationDistance field which specifies how far a camera must be from an occluder node for said occluder node to be active; using said one or more occluder nodes to compute a conservative set of visible objects from a current view point; and rendering said conservative set of visible objects. 4. The method of claim 1, wherein said one or more occluder nodes are defined as a plane in world space having a given center, width, height, and normal, wherein an object is considered occluded if an object lies in a positive half space of an occluder node, and an entire object bounding box lies within an area of said occluder node in world space. | 0.686779 |
1. A system for document navigation, comprising: a display; a display module displaying a text document on the display; a text-to-speech (“TTS”) engine converting a text of the text document into at least one audible sound; an audio module presenting the at least one audible sound; and a document navigation application displaying a section of the text document corresponding to the audible sound and navigating a displayed cursor indicating the text corresponding to the at least one audible sound as the at least one audible sound is played, wherein upon displaying the section of the document containing a link which points to a region of interest, the document navigation application pans to the region of interest pointed to by the link, when the link is referenced by the audible sound. | 1. A system for document navigation, comprising: a display; a display module displaying a text document on the display; a text-to-speech (“TTS”) engine converting a text of the text document into at least one audible sound; an audio module presenting the at least one audible sound; and a document navigation application displaying a section of the text document corresponding to the audible sound and navigating a displayed cursor indicating the text corresponding to the at least one audible sound as the at least one audible sound is played, wherein upon displaying the section of the document containing a link which points to a region of interest, the document navigation application pans to the region of interest pointed to by the link, when the link is referenced by the audible sound. 2. The system of claim 1 , further comprising a linking module creating at least one link from at least one section of the text in the document to the region of interest. | 0.519819 |
1. A method comprising: classifying a reference set of visual patterns that belong to a parent class into mutually exclusive child classes that include first and second child classes, a visual pattern from the reference set being classified into the first child class instead of the second child class; modifying a weight vector that corresponds to the parent class, the modified weight vector altering a first probability that the visual pattern belongs to the first child class and a second probability that the visual pattern belongs to the second child class; based on the altered first and second probabilities, removing mutual exclusivity from the first and second child classes by adding the visual pattern to the second child class; and using a processor, generating a hierarchy of classes of visual patterns, the hierarchy including the parent class and the mutually nonexclusive first and second child classes that each include the visual pattern. | 1. A method comprising: classifying a reference set of visual patterns that belong to a parent class into mutually exclusive child classes that include first and second child classes, a visual pattern from the reference set being classified into the first child class instead of the second child class; modifying a weight vector that corresponds to the parent class, the modified weight vector altering a first probability that the visual pattern belongs to the first child class and a second probability that the visual pattern belongs to the second child class; based on the altered first and second probabilities, removing mutual exclusivity from the first and second child classes by adding the visual pattern to the second child class; and using a processor, generating a hierarchy of classes of visual patterns, the hierarchy including the parent class and the mutually nonexclusive first and second child classes that each include the visual pattern. 16. The method of claim 1 further comprising: classifying a candidate visual pattern into the first child class by processing an image that depicts the candidate visual pattern with a classifier module assigned to the parent class, the classifier module including the modified weight vector. | 0.586066 |
5. A method comprising: sending, using one or more processors, a request to translate a source web document from a first language text to a second language text; receiving a translated web document for display containing a translation of the source web document into the second language text; displaying the translated web document; and in response to interacting with a portion of the translated web document, displaying the first language text that corresponds to a portion of the translated web document in a graphical element overlaying the translated web document. | 5. A method comprising: sending, using one or more processors, a request to translate a source web document from a first language text to a second language text; receiving a translated web document for display containing a translation of the source web document into the second language text; displaying the translated web document; and in response to interacting with a portion of the translated web document, displaying the first language text that corresponds to a portion of the translated web document in a graphical element overlaying the translated web document. 7. The method of claim 5 , further comprising displaying the first language text in the graphical element according to span tags delimiting the portion of the translated text. | 0.904244 |
1. A computer-implemented method for facilitating a user to control a driving apparatus through a voice command, the method comprising: receiving, by a processor, a user voice input; determining, by the processor, a language dialect the user voice input is associated with a language dialect; translating, by the processor, the voice input to a standard voice pattern based on the language dialect associated with the user voice input; based on the standard voice pattern, determining, by the processor, a control command corresponding to the user voice input for maneuvering the driving apparatus; and effectuating, by the processor, execution of the control command to control the driving apparatus. | 1. A computer-implemented method for facilitating a user to control a driving apparatus through a voice command, the method comprising: receiving, by a processor, a user voice input; determining, by the processor, a language dialect the user voice input is associated with a language dialect; translating, by the processor, the voice input to a standard voice pattern based on the language dialect associated with the user voice input; based on the standard voice pattern, determining, by the processor, a control command corresponding to the user voice input for maneuvering the driving apparatus; and effectuating, by the processor, execution of the control command to control the driving apparatus. 8. The computer-implemented method of claim 1 , further comprising presenting a user interface enabling the user to select a locale to be associated with the user. | 0.853887 |
1. A computer-implemented method for use in a computer programming environment, comprising: invoking a script; and determining an execution order for the invoked script predicated on the passing of parameters between scripted actions, comprising: selecting a first scripted action from a plurality of actions, wherein the plurality of actions are contemporaneously selectable with respect to the first scripted action; executing the first selected scripted action if sufficient parameter information is available to execute the selected first scripted action; selecting a second scripted action from the plurality of actions in response to determining that there is insufficient parameter information to execute the first selected scripted action; executing the second selected action and; wherein the second scripted action converts data from an incompatible data type into a compatible data type and wherein the scripted action are selected from candidate actions chosen according to a determination of relevance relative to previously chosen action and need for conversion of data to compatible data types. | 1. A computer-implemented method for use in a computer programming environment, comprising: invoking a script; and determining an execution order for the invoked script predicated on the passing of parameters between scripted actions, comprising: selecting a first scripted action from a plurality of actions, wherein the plurality of actions are contemporaneously selectable with respect to the first scripted action; executing the first selected scripted action if sufficient parameter information is available to execute the selected first scripted action; selecting a second scripted action from the plurality of actions in response to determining that there is insufficient parameter information to execute the first selected scripted action; executing the second selected action and; wherein the second scripted action converts data from an incompatible data type into a compatible data type and wherein the scripted action are selected from candidate actions chosen according to a determination of relevance relative to previously chosen action and need for conversion of data to compatible data types. 10. The computer-implemented method of claim 1 , further comprising: creating a workflow to be scripted; and filtering candidate actions for inclusion in the workflow. | 0.570884 |
6. A method comprising: transmitting, by a computing device having at least one processor, a content item to a first location; identifying a plurality of desired portions of the content item at a location remote from said first location; creating one or more annotations for the content item, the one or more annotations including a pointer corresponding to a desired portion of the plurality of desired portions and displayable content information describing a non-identified portion of the content item, wherein the displayable content information is different from the content item; and transmitting, from the location remote from said first location, the one or more annotations to another device, including the pointer and the displayable content information, wherein the one or more annotations are configured to cause the other device to generate a display of the displayable content information along with one or more of the plurality of desired portions. | 6. A method comprising: transmitting, by a computing device having at least one processor, a content item to a first location; identifying a plurality of desired portions of the content item at a location remote from said first location; creating one or more annotations for the content item, the one or more annotations including a pointer corresponding to a desired portion of the plurality of desired portions and displayable content information describing a non-identified portion of the content item, wherein the displayable content information is different from the content item; and transmitting, from the location remote from said first location, the one or more annotations to another device, including the pointer and the displayable content information, wherein the one or more annotations are configured to cause the other device to generate a display of the displayable content information along with one or more of the plurality of desired portions. 10. The method of claim 6 , wherein the one or more annotations include a pair of pointers, one pointer identifying a beginning of the desired portion and the other pointer identifying an end of the desired portion. | 0.548673 |
12. The method of claim 1 , wherein the first portion and the second portion have a duration of a predetermined time period. | 12. The method of claim 1 , wherein the first portion and the second portion have a duration of a predetermined time period. 13. The method of claim 12 , further comprising determining the duration of the predetermined time period based on input from an input interface. | 0.958862 |
13. A non-transitory computer-readable medium containing instructions for controlling a computer system to perform a method, the method comprising: receiving, from a first user, a plurality of domain level Radio Frequency Identification (RFID) system constraints, wherein the domain level RFID system constraints are applicable across one or more components of the RFID system; translating the plurality of domain level RFID system constraints into RFID system level constraints, wherein the RFID system level constraints are applicable across the RFID system as a whole; and controlling the RFID system using the RFID system level constraints; receiving RFID data and generating an RFID system incident in response to the RFID data; receiving, at a system level, the RFID system incident; forwarding, at the system level, the RFID system incident to a domain level; modifying the domain level RFID system constraints in response to the RFID system incident; and translating the modified domain level RFID system constraints into modified RFID system level constraints to control the RFID system. | 13. A non-transitory computer-readable medium containing instructions for controlling a computer system to perform a method, the method comprising: receiving, from a first user, a plurality of domain level Radio Frequency Identification (RFID) system constraints, wherein the domain level RFID system constraints are applicable across one or more components of the RFID system; translating the plurality of domain level RFID system constraints into RFID system level constraints, wherein the RFID system level constraints are applicable across the RFID system as a whole; and controlling the RFID system using the RFID system level constraints; receiving RFID data and generating an RFID system incident in response to the RFID data; receiving, at a system level, the RFID system incident; forwarding, at the system level, the RFID system incident to a domain level; modifying the domain level RFID system constraints in response to the RFID system incident; and translating the modified domain level RFID system constraints into modified RFID system level constraints to control the RFID system. 18. The computer-readable medium of claim 13 wherein the domain level RFID system constraints are represented as a domain specific language. | 0.855993 |
1. A method for placing content in a document created based on a template comprising a plurality of template pages, the method comprising: receiving a selection of a template page comprising (i) a body layer for holding in-line content and (ii) a floating layer for holding floating content that is moveable to a location of the in-line content so that the in-line content at the location re-arranges around the floating content; adding the template page to the document as a new page for the already-existing document, wherein the added template page comprises a placeholder in-line content in the body layer and a placeholder floating content in the floating layer; in response to a first drag-and-drop operation that drags a first content and drops the first content over the body layer, replacing the placeholder in-line content with the first content; and in response to a second drag-and-drop operation that drags a second content and drops the second content over the floating layer, replacing the placeholder floating content with the second content. | 1. A method for placing content in a document created based on a template comprising a plurality of template pages, the method comprising: receiving a selection of a template page comprising (i) a body layer for holding in-line content and (ii) a floating layer for holding floating content that is moveable to a location of the in-line content so that the in-line content at the location re-arranges around the floating content; adding the template page to the document as a new page for the already-existing document, wherein the added template page comprises a placeholder in-line content in the body layer and a placeholder floating content in the floating layer; in response to a first drag-and-drop operation that drags a first content and drops the first content over the body layer, replacing the placeholder in-line content with the first content; and in response to a second drag-and-drop operation that drags a second content and drops the second content over the floating layer, replacing the placeholder floating content with the second content. 17. The method of claim 1 further comprising receiving input to move content in said template page, wherein a display of said page is automatically reformatted to adjust for said content movement. | 0.673401 |
15. The apparatus of claim 1 , wherein the system is configured such that the processing includes creating software elements having a format with a hierarchal relationship between the software elements based on the at least one original document. | 15. The apparatus of claim 1 , wherein the system is configured such that the processing includes creating software elements having a format with a hierarchal relationship between the software elements based on the at least one original document. 19. The apparatus of claim 15 , wherein the system is configured such that the software elements are created from one or more eXtensible Business Reporting Language (XBRL) documents. | 0.975716 |
8. The method of claim 1 , further including enabling the computer user to search for one of a destination data object or set of destination data objects by presenting multiple paths thereto, the paths including multiple graphical elements and at least one semantic relationship between the graphical elements of the respective paths. | 8. The method of claim 1 , further including enabling the computer user to search for one of a destination data object or set of destination data objects by presenting multiple paths thereto, the paths including multiple graphical elements and at least one semantic relationship between the graphical elements of the respective paths. 9. The method of claim 8 , further including presenting information corresponding to one of the graphical elements in response to user selection thereof. | 0.946172 |
4. The method of claim 1 wherein said rules define permissible values for said parameters. | 4. The method of claim 1 wherein said rules define permissible values for said parameters. 5. The method of claim 4 wherein said rules define dependency between said parameters. | 0.969959 |
3. The method of claim 1 , wherein the simplifying further comprises simplifying the selected structures according to selected simplification rules including at least one of removing duplications, collapsing nested unions, or merging integers. | 3. The method of claim 1 , wherein the simplifying further comprises simplifying the selected structures according to selected simplification rules including at least one of removing duplications, collapsing nested unions, or merging integers. 4. The method of claim 3 , wherein the simplifying further comprises flattening selected attributes in the simplified model during the simplifying and removing duplicate attributes created by the flattening. | 0.920015 |
1. A method of displaying a first hypertext document on a computer display, the first hypertext document including at least one hypertext link definition that points to a second hypertext document, the method comprising: (a) displaying the first hypertext document on the computer display, including displaying the hypertext link definition; (b) maintaining status information associated with a previous copy of the second hypertext document, wherein the status information associated with the previous copy of the second hypertext document is selected from the group consisting of a checksum, a document size, an author, an area selection within the previous copy of the second hypertext document, a keyword search expression, a numeric expression, a numeric threshold, a keyword list, and combinations thereof; (c) determining whether the second hypertext document has been updated by comparing status information for the second hypertext document with that of the previous copy of the second hypertext document; and (d) indicating on the computer display and within the first hypertext document whether the second hypertext document has been updated since a predetermined time. | 1. A method of displaying a first hypertext document on a computer display, the first hypertext document including at least one hypertext link definition that points to a second hypertext document, the method comprising: (a) displaying the first hypertext document on the computer display, including displaying the hypertext link definition; (b) maintaining status information associated with a previous copy of the second hypertext document, wherein the status information associated with the previous copy of the second hypertext document is selected from the group consisting of a checksum, a document size, an author, an area selection within the previous copy of the second hypertext document, a keyword search expression, a numeric expression, a numeric threshold, a keyword list, and combinations thereof; (c) determining whether the second hypertext document has been updated by comparing status information for the second hypertext document with that of the previous copy of the second hypertext document; and (d) indicating on the computer display and within the first hypertext document whether the second hypertext document has been updated since a predetermined time. 3. The method of claim 1, wherein indicating whether the second hypertext document has been updated includes displaying an updated status indicator proximate the hypertext link definition. | 0.68438 |
8. A non-transitory computer readable storage medium containing computer program code that, when executed by a computer, performs a method for using metadata to detect alteration of audio data, image data, or both, the method comprising: recording a first set of metadata characteristics for a first set of data representing original data, the first set of metadata characteristics including at least one respective semantic description for the first set of data; recording a second set of metadata characteristics for a second set of data representing data under test, the second set of metadata characteristics including at least one corresponding semantic description for the second set of data; comparing the first and second sets of metadata characteristics wherein, in the event the first and second sets of metadata characteristics are not identical, then the second set of data is identified as an altered version of the first set of data, and performing the comparing by comparing the first and second sets of metadata characteristics to identify one or more of: at least one location in the first set of data that have been altered, or at least one metadata characteristic that has changed from the first set of data to the second set of data using the at least one semantic description for the first set of data and the at least one corresponding semantic description for the second set of data; at least one metadata characteristic that has changed from the first set of data to the second set of data is identified using the at least one semantic description for the first set of data and the at least one corresponding semantic description for the second set of data, the method further comprising using the identified at least one metadata characteristic to define a change of semantic meaning between the first set of data and the second set of data, determining whether or not the defined change of semantic meaning changes an overall meaning of a message defined by the first set of data and if so generating an alert indicative of a possible criminal intent in altering the message corresponding to the first set of data. | 8. A non-transitory computer readable storage medium containing computer program code that, when executed by a computer, performs a method for using metadata to detect alteration of audio data, image data, or both, the method comprising: recording a first set of metadata characteristics for a first set of data representing original data, the first set of metadata characteristics including at least one respective semantic description for the first set of data; recording a second set of metadata characteristics for a second set of data representing data under test, the second set of metadata characteristics including at least one corresponding semantic description for the second set of data; comparing the first and second sets of metadata characteristics wherein, in the event the first and second sets of metadata characteristics are not identical, then the second set of data is identified as an altered version of the first set of data, and performing the comparing by comparing the first and second sets of metadata characteristics to identify one or more of: at least one location in the first set of data that have been altered, or at least one metadata characteristic that has changed from the first set of data to the second set of data using the at least one semantic description for the first set of data and the at least one corresponding semantic description for the second set of data; at least one metadata characteristic that has changed from the first set of data to the second set of data is identified using the at least one semantic description for the first set of data and the at least one corresponding semantic description for the second set of data, the method further comprising using the identified at least one metadata characteristic to define a change of semantic meaning between the first set of data and the second set of data, determining whether or not the defined change of semantic meaning changes an overall meaning of a message defined by the first set of data and if so generating an alert indicative of a possible criminal intent in altering the message corresponding to the first set of data. 11. The storage medium of claim 8 wherein the first set of data represents image data and the semantic description for the first set of data comprises a description of a color scheme, a brightness level, a contrast level, a hue level, an amount of pixellation, or any of various combinations thereof. | 0.756776 |
1. A web search system comprising: a memory; a processing unit coupled to the memory, the processing unit configured to execute computer-implemented components comprising: a search engine that receives search queries and identifies web pages relevant to the search queries; an inference component that infers web page information relevant to a current search query by generating one or more questions, initiating a communication session to communicate the one or more questions to a user, and receiving one or more user supplied answers from the user to the one or more questions via the communication session, the inference component further modifies a heuristic rule pertaining to a search domain classified by a topic hierarchy or a topic cluster based on knowledge learned from the inferred web page information associated with the one or more user supplied answers to generate a modified heuristic rule; and a query modification component that alters the current search query based at least on the inferred webpage information, the modified heuristic rule, and a navigated position in the topic hierarchy or the topic cluster. | 1. A web search system comprising: a memory; a processing unit coupled to the memory, the processing unit configured to execute computer-implemented components comprising: a search engine that receives search queries and identifies web pages relevant to the search queries; an inference component that infers web page information relevant to a current search query by generating one or more questions, initiating a communication session to communicate the one or more questions to a user, and receiving one or more user supplied answers from the user to the one or more questions via the communication session, the inference component further modifies a heuristic rule pertaining to a search domain classified by a topic hierarchy or a topic cluster based on knowledge learned from the inferred web page information associated with the one or more user supplied answers to generate a modified heuristic rule; and a query modification component that alters the current search query based at least on the inferred webpage information, the modified heuristic rule, and a navigated position in the topic hierarchy or the topic cluster. 10. The system of claim 1 , wherein the navigated position in the topic hierarchy or topic cluster represents a position in the topic hierarchy or topic cluster to which the inference component has previously navigated during an execution of one or more original search queries or one or more altered search queries. | 0.546441 |
7. A computer system comprising: a processor; and a non-transitory computer readable medium having stored thereon one or more programs, which when executed by the processor, causes the processor to: provide a usage tracking engine in an in-memory database and in communication with usage data of a data object of the in-memory database; cause the usage tracking engine to track access to the data object by a database user; cause the usage tracking engine to receive a ranking of the data object from a heuristic learning module in the in-memory database that considers: a geographic location of the database user, a time stamp of access to the data object by the database user, and prior manual placement of the data object in a shelf by the database user; cause the usage tracking engine to check a personalization setting reflecting a number of data objects to be located on the shelf in an application layer accessible to the database user, the number based upon a storage capacity available to the database user; and cause the usage tracking engine to displace the data object from the shelf based upon the ranking and the personalization setting. | 7. A computer system comprising: a processor; and a non-transitory computer readable medium having stored thereon one or more programs, which when executed by the processor, causes the processor to: provide a usage tracking engine in an in-memory database and in communication with usage data of a data object of the in-memory database; cause the usage tracking engine to track access to the data object by a database user; cause the usage tracking engine to receive a ranking of the data object from a heuristic learning module in the in-memory database that considers: a geographic location of the database user, a time stamp of access to the data object by the database user, and prior manual placement of the data object in a shelf by the database user; cause the usage tracking engine to check a personalization setting reflecting a number of data objects to be located on the shelf in an application layer accessible to the database user, the number based upon a storage capacity available to the database user; and cause the usage tracking engine to displace the data object from the shelf based upon the ranking and the personalization setting. 8. The computer system of claim 7 wherein the usage information reflects a frequency of accessing the data object by the database user. | 0.588798 |
7. A computer system for a service oriented industry model repository architecture, the system comprising: a CPU, a computer readable memory, a non-transitory computer readable storage media, a plurality of service oriented architecture (SOA) industry model repositories (IMR) comprising a meta model service associated with a physical asset repository including model assets, requirement models, and document models, the meta model service comprising: at least one topic map meta model with data specific to a particular topic or industry vertical included within an information model repository common meta-meta model, the information model repository common meta-meta model included within a meta-meta-meta model with a topic map based index; first program instructions for defining boundaries and definitions of scope and scope propagation of topics, associations, and occurrences within the SOA IMR; second program instructions for managing boundaries and definitions of scope and scope propagation within the SOA IMR; and third program instructions for maintaining boundaries and definitions of scope and scope propagation within the SOA IMR; the first, second, and third program instructions are stored on the non-transitory computer readable storage media for execution by the CPU via the computer readable memory. wherein the scope is inheritance scoping. | 7. A computer system for a service oriented industry model repository architecture, the system comprising: a CPU, a computer readable memory, a non-transitory computer readable storage media, a plurality of service oriented architecture (SOA) industry model repositories (IMR) comprising a meta model service associated with a physical asset repository including model assets, requirement models, and document models, the meta model service comprising: at least one topic map meta model with data specific to a particular topic or industry vertical included within an information model repository common meta-meta model, the information model repository common meta-meta model included within a meta-meta-meta model with a topic map based index; first program instructions for defining boundaries and definitions of scope and scope propagation of topics, associations, and occurrences within the SOA IMR; second program instructions for managing boundaries and definitions of scope and scope propagation within the SOA IMR; and third program instructions for maintaining boundaries and definitions of scope and scope propagation within the SOA IMR; the first, second, and third program instructions are stored on the non-transitory computer readable storage media for execution by the CPU via the computer readable memory. wherein the scope is inheritance scoping. 8. The system of claim 7 , wherein the system further comprises: fourth program instructions for creating a new meta model topic, association, or occurrence and topic, association, or occurrence name for the requirement model; fifth program instructions for creating a scope topic, association, or occurrence to identify that the new meta model topic, association, or occurrence is in the scope of the SOA IMR; sixth program instructions for adding the scope topic, association, or occurrence to the topic, association, or occurrence name of the new meta model topic; seventh program instructions for creating resource description framework triples of the new meta model topic, association, or occurrence; and eighth program instructions for creating scope dependent uniform resource identifiers from the topic, association, or occurrence name for uniquely identifying the resource description framework triples created; the fourth, fifth, sixth, seventh and eighth program instructions are stored on the non-transitory computer readable storage media for execution by the CPU via the computer readable memory. | 0.506881 |
3. The method of claim 2 , wherein the data objects of the second type are solution objects. | 3. The method of claim 2 , wherein the data objects of the second type are solution objects. 4. The method of claim 3 , further comprising: generating a case object for the query; receiving a request from the user system for the generation of an association the case object for the query and a set of solution objects in the list of data objects; and forming an association between the case object for the query and the set of solution objects in the list of data objects. | 0.888857 |
1. A computer-implemented method comprising: extracting facial features of a collection of digital photos; clustering the collection of digital photos into a plurality of face groups, at least first and second face groups of the plurality of face groups each including multiple digital photos, each photo having a facial feature satisfying a programmed facial similarity requirement; associating an annotation with the at least first face group; adding the second face group to the first face group; and responsive to the adding, automatically associating the second face group with an annotation of the first face group. | 1. A computer-implemented method comprising: extracting facial features of a collection of digital photos; clustering the collection of digital photos into a plurality of face groups, at least first and second face groups of the plurality of face groups each including multiple digital photos, each photo having a facial feature satisfying a programmed facial similarity requirement; associating an annotation with the at least first face group; adding the second face group to the first face group; and responsive to the adding, automatically associating the second face group with an annotation of the first face group. 5. The method as recited in claim 1 , wherein clustering the collection of digital photos comprising: automatically clustering the collection of digital photos by applying a face clustering algorithm. | 0.618031 |
11. A method for providing quality management related to an accent of a call responder handling a call in a contact center, comprising: creating one or more statistical accent models from one or more training speech data, each statistical accent model associated with an accent, based on accent related details from collections of speech instances that are further normalized relative to differences therebetween for accent conformity, and with a model accent score representing the conformity of the statistical accent model to the associated accent; recording by a recording system a speech sample of a call responder having a call responder accent; inputting the speech sample for analysis; preparing a statistical speech model representing the speech sample of the call responder; comparing the statistical speech model with said statistical accent models; determining a closest statistical accent model to said statistical speech model; assigning an accent score for the statistical speech model, the accent score corresponding to the model accent score of the closest statistical accent model; automatically amending in the speech sample by replacement waveforms, sections determined as having known errors, whereby the amended speech sample replaces the speech sample to conform to the closest accent model; and providing during the call conducted by the call responder an immediate visual feedback indicating the level of deviation of the agent from the required accent. | 11. A method for providing quality management related to an accent of a call responder handling a call in a contact center, comprising: creating one or more statistical accent models from one or more training speech data, each statistical accent model associated with an accent, based on accent related details from collections of speech instances that are further normalized relative to differences therebetween for accent conformity, and with a model accent score representing the conformity of the statistical accent model to the associated accent; recording by a recording system a speech sample of a call responder having a call responder accent; inputting the speech sample for analysis; preparing a statistical speech model representing the speech sample of the call responder; comparing the statistical speech model with said statistical accent models; determining a closest statistical accent model to said statistical speech model; assigning an accent score for the statistical speech model, the accent score corresponding to the model accent score of the closest statistical accent model; automatically amending in the speech sample by replacement waveforms, sections determined as having known errors, whereby the amended speech sample replaces the speech sample to conform to the closest accent model; and providing during the call conducted by the call responder an immediate visual feedback indicating the level of deviation of the agent from the required accent. 12. A method according to claim 11 , wherein said determining is performed substantially in real-time. | 0.537437 |
24. A method of entering data in a portable electronic device, the method comprising: receiving a request from a healthcare professional to perform data entry in a text input field in which textual information can be entered via a virtual keyboard, wherein the receiving the request comprises detecting a click of the text input field via a touch-sensitive user interface, and wherein the data entry is directed to a patient file; displaying, on a region of the touch-sensitive user interface, a plurality of predefined suggestions as candidates for the data entry, wherein the predefined suggestions are customized for one of: the healthcare professional or the patient, and wherein the plurality of predefined suggestions are previously hidden, and an appearance of the predefined suggestions is triggered in response to the detecting the click of the text input field and without using the virtual keyboard; analyzing an existing data content in the patient file; recommending the predefined suggestions based on the analyzed content; detecting a selection of one of the plurality of predefined suggestions by detecting a touch of the region of the touch-sensitive user interface made by the healthcare professional; automatically entering the selected predefined suggestion as the data entry in the text input field without the use of the virtual keyboard; and programming a pulse generator to generate electrical stimulation pulses based at least in part on the data entry, wherein the programming the pulse generator includes sending, to the pulse generator, stimulation parameters that include one or more of: stimulation pulse amplitude, stimulation pulse frequency, stimulation pulse width, electrode polarity, and electrode combination. | 24. A method of entering data in a portable electronic device, the method comprising: receiving a request from a healthcare professional to perform data entry in a text input field in which textual information can be entered via a virtual keyboard, wherein the receiving the request comprises detecting a click of the text input field via a touch-sensitive user interface, and wherein the data entry is directed to a patient file; displaying, on a region of the touch-sensitive user interface, a plurality of predefined suggestions as candidates for the data entry, wherein the predefined suggestions are customized for one of: the healthcare professional or the patient, and wherein the plurality of predefined suggestions are previously hidden, and an appearance of the predefined suggestions is triggered in response to the detecting the click of the text input field and without using the virtual keyboard; analyzing an existing data content in the patient file; recommending the predefined suggestions based on the analyzed content; detecting a selection of one of the plurality of predefined suggestions by detecting a touch of the region of the touch-sensitive user interface made by the healthcare professional; automatically entering the selected predefined suggestion as the data entry in the text input field without the use of the virtual keyboard; and programming a pulse generator to generate electrical stimulation pulses based at least in part on the data entry, wherein the programming the pulse generator includes sending, to the pulse generator, stimulation parameters that include one or more of: stimulation pulse amplitude, stimulation pulse frequency, stimulation pulse width, electrode polarity, and electrode combination. 34. The method of claim 24 , wherein the portable electronic device includes a clinician programmer. | 0.673686 |
1. A method of resolving a registered multilingual domain name, the method comprising: receiving, at a primary name server, a request to resolve the registered multilingual domain name that is identified by a sequence of numeric values, wherein the request that was received from a Web browser of a user is based on a specified URL that contains the domain name; determining that the primary name server is unable to identify, in a zone data file of the primary name server, an IP address associated with the sequence of numeric values; selecting a default IP address in response to a failure to identify an associated IP address, the default IP address corresponding to a multilingual domain name server that is able to resolve requests for domain names in multiple languages; determining appropriate response information for the multilingual domain name; and providing an indication of the appropriate response information to the Web browser of the user in response to the request. | 1. A method of resolving a registered multilingual domain name, the method comprising: receiving, at a primary name server, a request to resolve the registered multilingual domain name that is identified by a sequence of numeric values, wherein the request that was received from a Web browser of a user is based on a specified URL that contains the domain name; determining that the primary name server is unable to identify, in a zone data file of the primary name server, an IP address associated with the sequence of numeric values; selecting a default IP address in response to a failure to identify an associated IP address, the default IP address corresponding to a multilingual domain name server that is able to resolve requests for domain names in multiple languages; determining appropriate response information for the multilingual domain name; and providing an indication of the appropriate response information to the Web browser of the user in response to the request. 3. The method of claim 1 , wherein the default IP address is selected using a wildcard entry at an end of the zone data file. | 0.631037 |
1. A computer-implemented method for processing a subject message, by a network of agents including an initiator agent and at least one agent downchain of said initiator agent, each agent in said network having a view of its own domain of responsibility, comprising the steps of said initiator agent: querying at least one of the agents downchain of said initiator agent in said network whether the queried agent considers said subject message to be in the queried agent's domain of responsibility; resolving any conflicting responses from said queried agents, which responses meet threshold quality criteria, to identify a prevailing group of at least one of said downchain agents to whom said subject message should be passed; and instructing at least one agent in said prevailing group to handle said subject message. | 1. A computer-implemented method for processing a subject message, by a network of agents including an initiator agent and at least one agent downchain of said initiator agent, each agent in said network having a view of its own domain of responsibility, comprising the steps of said initiator agent: querying at least one of the agents downchain of said initiator agent in said network whether the queried agent considers said subject message to be in the queried agent's domain of responsibility; resolving any conflicting responses from said queried agents, which responses meet threshold quality criteria, to identify a prevailing group of at least one of said downchain agents to whom said subject message should be passed; and instructing at least one agent in said prevailing group to handle said subject message. 18. A method according to claim 1, further comprising the steps of a first one of said queried agents, in response to said query: determining whether said subject message is within said first agent's domain of responsibility; and where said subject message is not within said first agent's domain of responsibility but said first agent has further agents downchain of said first agent, querying at least one of said further agents whether the further agent considers said subject message to be in the further agent's domain of responsibility. | 0.647927 |
30. The method of claim 28 , wherein said presenting the page, said asking, said textually presenting the plurality of answers, said requiring, and said determining composes performing a trial in stage 1. | 30. The method of claim 28 , wherein said presenting the page, said asking, said textually presenting the plurality of answers, said requiring, and said determining composes performing a trial in stage 1. 31. The method of claim 30 , further comprising: if the trial in stage 1 is passed or has been failed a specified number of times, performing trials in stage 2 directed to the stimulus passage. | 0.943149 |
1. An automated method, comprising: identifying documents in a current clustering operation; assigning the identified documents to one or more clusters; selecting a current representative document for each of the one or more clusters; determining whether the current representative document has been re-crawled; determining a previous representative document with which the current representative document was previously associated in a prior clustering operation, if it is determined that the current representative document has not been re-crawled; determining one of the one or more clusters to which the previous representative document has been assigned in the current clustering operation; combining one of the one or more clusters associated with the current representative document that has not been re-crawled with the one of the one or more clusters associated with the previous representative document into a combined cluster; and storing information regarding the combined cluster. | 1. An automated method, comprising: identifying documents in a current clustering operation; assigning the identified documents to one or more clusters; selecting a current representative document for each of the one or more clusters; determining whether the current representative document has been re-crawled; determining a previous representative document with which the current representative document was previously associated in a prior clustering operation, if it is determined that the current representative document has not been re-crawled; determining one of the one or more clusters to which the previous representative document has been assigned in the current clustering operation; combining one of the one or more clusters associated with the current representative document that has not been re-crawled with the one of the one or more clusters associated with the previous representative document into a combined cluster; and storing information regarding the combined cluster. 5. The automated method of claim 1 , further comprising: storing information indicating whether the current representative document has been re-crawled. | 0.669146 |
10. A nontransitory computer readable medium with computer program logic recorded thereon for execution by a processor of a computer system when importing a document into an electronic document system, wherein the program logic is executable by the processor to cause: analyzing in an input data stream representing a document in a first document format, document formatting to determine a plurality of inline styles applied to text of said document using inline style formatting; adding each of the detected inline styles to a styles data structure stored in a memory accessible to the document conversion application; converting the input data stream into an output data stream representing the document in a second document format; analyzing the styles data structure to identify each instance of a particular inline style and match the inline styles that occur together in the document into a plurality of groupings of inline styles that are commonly applied to different portions of the text, wherein the plurality of groupings of inline styles correspond to formatting patterns applied to the different portions of the text; determining that a first subset of the groupings of inline styles designates major headings within the document and a second subset of the groupings of inline styles designates sub-headings within the document; inserting breakpoints into said output data stream, according to a breaking protocol, wherein the breaking protocol specifies that each breakpoint is inserted into the output data stream at a location prior to an occurrence of a major heading within a particular segment of the document, or , if no major heading occurs within the segment, prior to a sub-heading, wherein insertion of said breakpoints divides said document into a plurality of discrete sub-documents each in said second document format; and after insertion of said breakpoints, storing the output data stream in a storage device. | 10. A nontransitory computer readable medium with computer program logic recorded thereon for execution by a processor of a computer system when importing a document into an electronic document system, wherein the program logic is executable by the processor to cause: analyzing in an input data stream representing a document in a first document format, document formatting to determine a plurality of inline styles applied to text of said document using inline style formatting; adding each of the detected inline styles to a styles data structure stored in a memory accessible to the document conversion application; converting the input data stream into an output data stream representing the document in a second document format; analyzing the styles data structure to identify each instance of a particular inline style and match the inline styles that occur together in the document into a plurality of groupings of inline styles that are commonly applied to different portions of the text, wherein the plurality of groupings of inline styles correspond to formatting patterns applied to the different portions of the text; determining that a first subset of the groupings of inline styles designates major headings within the document and a second subset of the groupings of inline styles designates sub-headings within the document; inserting breakpoints into said output data stream, according to a breaking protocol, wherein the breaking protocol specifies that each breakpoint is inserted into the output data stream at a location prior to an occurrence of a major heading within a particular segment of the document, or , if no major heading occurs within the segment, prior to a sub-heading, wherein insertion of said breakpoints divides said document into a plurality of discrete sub-documents each in said second document format; and after insertion of said breakpoints, storing the output data stream in a storage device. 13. The nontransitory computer readable medium of claim 10 wherein said second document format comprises one of: HTML; FLASHHELP™; WEBHELP™; SWF; FLASHPAPER™; XML; JAVAHELP™; and HTML HELP™. | 0.645315 |
33. In a web-based automated outbound contact center utilizing Voice Over IP and comprising interactive voice response, a method for prompting a money transaction between a user and a contact comprising the steps of: a. Creating a user account for accessing and using the web-based contact center comprising a website application user interface, b. Generating a call script, the script comprising message events and question events, at least one question event inviting the contact to consent to a money transaction, c. Providing contact information, the contact information comprising a contact's direct phone number, d. Recording, and saving audio recordings for each event of the script, e. Creating a call sequence based on the script via an event adding wizard and branching logic adding wizard by pointing and clicking to successively add each message event and question event of the call script and the branching logic when the call script requires branching based upon the contact's response to a question event, the call sequence comprising a Send SMS Event whereby the call automatically triggers the sending of an SMS message to a contact mobile device when the contact elicits a specified response to the question event inviting the contact to consent to a money transaction, f. Launching a broadcast, the broadcast comprising a call sequence and a plurality of contacts, the broadcast capable of being launched immediately or scheduled for a later date and time designated by the user, the user specifying the maximum number of attempts to reach the contact, g. Capturing and saving exportable audio recordings of contact responses to open-ended questions in the call sequence, where the call script comprises at least one open-ended question, h. Reviewing one or more reports comprising, information from contact responses to question events in the call sequence of the broadcast. | 33. In a web-based automated outbound contact center utilizing Voice Over IP and comprising interactive voice response, a method for prompting a money transaction between a user and a contact comprising the steps of: a. Creating a user account for accessing and using the web-based contact center comprising a website application user interface, b. Generating a call script, the script comprising message events and question events, at least one question event inviting the contact to consent to a money transaction, c. Providing contact information, the contact information comprising a contact's direct phone number, d. Recording, and saving audio recordings for each event of the script, e. Creating a call sequence based on the script via an event adding wizard and branching logic adding wizard by pointing and clicking to successively add each message event and question event of the call script and the branching logic when the call script requires branching based upon the contact's response to a question event, the call sequence comprising a Send SMS Event whereby the call automatically triggers the sending of an SMS message to a contact mobile device when the contact elicits a specified response to the question event inviting the contact to consent to a money transaction, f. Launching a broadcast, the broadcast comprising a call sequence and a plurality of contacts, the broadcast capable of being launched immediately or scheduled for a later date and time designated by the user, the user specifying the maximum number of attempts to reach the contact, g. Capturing and saving exportable audio recordings of contact responses to open-ended questions in the call sequence, where the call script comprises at least one open-ended question, h. Reviewing one or more reports comprising, information from contact responses to question events in the call sequence of the broadcast. 35. The method per claim 33 where the user is a fundraiser. | 0.981308 |
1. A method for detecting two or more concepts in a source digital video which includes one or more digital video frames comprising: (a) segmenting the source digital video into a plurality of shots, wherein each shot includes one or more of the digital video frames; (b) identifying a keyframe within each shot, wherein the keyframe is one of the one or more of the digital video frames; (c) extracting low level features from the keyframe, wherein the low level features are representative of the two or more concepts, and are related in a graph of concepts, and wherein each concept is semi-automatically generated text associated with the one or more digital video frames, and wherein semi-automatically generated text is automatically generated text which has been manually revised; (d) training a discriminative classifier for each concept using a set of the low level features, wherein the discriminative classifier is a support vector machine; (e) building a collective annotation model combining each of the discriminative classifiers; (f) defining in the collective annotation model one or more interaction potential to model interdependence between related concepts; (g) receiving a second source digital video; (h) applying the discriminative classifiers to the second source digital video; and (i) determining a probability of a presence or absence of the two or more concepts in the low level features extracted from the second source digital video using the collective annotation model and the defined interaction potentials. | 1. A method for detecting two or more concepts in a source digital video which includes one or more digital video frames comprising: (a) segmenting the source digital video into a plurality of shots, wherein each shot includes one or more of the digital video frames; (b) identifying a keyframe within each shot, wherein the keyframe is one of the one or more of the digital video frames; (c) extracting low level features from the keyframe, wherein the low level features are representative of the two or more concepts, and are related in a graph of concepts, and wherein each concept is semi-automatically generated text associated with the one or more digital video frames, and wherein semi-automatically generated text is automatically generated text which has been manually revised; (d) training a discriminative classifier for each concept using a set of the low level features, wherein the discriminative classifier is a support vector machine; (e) building a collective annotation model combining each of the discriminative classifiers; (f) defining in the collective annotation model one or more interaction potential to model interdependence between related concepts; (g) receiving a second source digital video; (h) applying the discriminative classifiers to the second source digital video; and (i) determining a probability of a presence or absence of the two or more concepts in the low level features extracted from the second source digital video using the collective annotation model and the defined interaction potentials. 19. The method of claim 1 wherein the defined interaction potential is a function of each pair of related concepts Yi, Yj, wherein each pair of related concepts is connected by an edge in the graph of concepts, and wherein a total number of pairs of related concepts is less than a total number of pairs of concepts. | 0.507631 |
1. A method implemented in a computing environment for presenting educational materials in a video game environment, the method comprising: a computing system providing a game interface for displaying game characters, each character comprising corresponding attributes that include at least an attack attribute and a defense attribute, the computing system comprising memory operatively coupled to one or more processors; assigning a first character to a first human participant; assigning a second character to a second human participant; the computing system presenting a game environment within the game interface that involves the first character in a storyline and that includes game actions that the first character participates in, wherein the first human participant is presented with educational materials corresponding to a first subject matter, and wherein the game actions include at least one of modifying the attributes that correspond to the first character, obtaining possessions for the first character and using the first character to interact with at least the second game character; the computing system presenting questions to the first human participant when the first character participates in a particular game action within the game environment, wherein the presented questions correspond to educational materials of the first subject matter, and wherein at least one question is presented to the first human participant, corresponding to a virtual attack of the first character by the second character within the game environment; the computing system displaying a first health display element within the game environment that reflects a health status of the first character and that reflects at least a decrease in the health status of the first character as a consequence to damage inflicted by the virtual attack if the first human participant provides an incorrect answer to the at least one question; the computing system displaying a questions menu option within the game environment to the first human participant with which the first human participant is enabled to select or create one or more questions for use in connection with an offensive virtual attack applied by the first character within the game environment; the computing system displaying a second health display element that reflects a health status of the second character and that reflects at least a decrease in the health status of the second character in connection with damage inflicted by the offensive virtual attack by the first character within the game environment; and the computing system providing at least one portal within the game interface which, when entered by the first character, transports the first character to a new world where educational materials presented to the first character correspond to a second subject matter that is different than the first subject matter. | 1. A method implemented in a computing environment for presenting educational materials in a video game environment, the method comprising: a computing system providing a game interface for displaying game characters, each character comprising corresponding attributes that include at least an attack attribute and a defense attribute, the computing system comprising memory operatively coupled to one or more processors; assigning a first character to a first human participant; assigning a second character to a second human participant; the computing system presenting a game environment within the game interface that involves the first character in a storyline and that includes game actions that the first character participates in, wherein the first human participant is presented with educational materials corresponding to a first subject matter, and wherein the game actions include at least one of modifying the attributes that correspond to the first character, obtaining possessions for the first character and using the first character to interact with at least the second game character; the computing system presenting questions to the first human participant when the first character participates in a particular game action within the game environment, wherein the presented questions correspond to educational materials of the first subject matter, and wherein at least one question is presented to the first human participant, corresponding to a virtual attack of the first character by the second character within the game environment; the computing system displaying a first health display element within the game environment that reflects a health status of the first character and that reflects at least a decrease in the health status of the first character as a consequence to damage inflicted by the virtual attack if the first human participant provides an incorrect answer to the at least one question; the computing system displaying a questions menu option within the game environment to the first human participant with which the first human participant is enabled to select or create one or more questions for use in connection with an offensive virtual attack applied by the first character within the game environment; the computing system displaying a second health display element that reflects a health status of the second character and that reflects at least a decrease in the health status of the second character in connection with damage inflicted by the offensive virtual attack by the first character within the game environment; and the computing system providing at least one portal within the game interface which, when entered by the first character, transports the first character to a new world where educational materials presented to the first character correspond to a second subject matter that is different than the first subject matter. 3. A method as recited in claim 1 , wherein the new world is thematic with a particular educational theme and wherein characters and educational materials encountered within the new world correspond with the particular educational theme. | 0.5625 |
10. The system of claim 9 , further comprising a second receiving component that receives an input of the identified test components. | 10. The system of claim 9 , further comprising a second receiving component that receives an input of the identified test components. 11. The system of claim 10 , further comprising a building component that, based on the input of the identified test components, builds a system of test components that are usable to carry-out the orderable procedure. | 0.897571 |
1. A method implemented by a head-mountable device comprising: receiving, by the head-mountable computing device, input data that is indicative of head position; providing, by the head-mountable computing device, a user-interface that comprises a content region containing a set of selectable content objects that are horizontally arranged, wherein the content region is located at a fixed height within the user-interface; defining, by the head-mountable computing device, a view region that is movable within the user-interface, wherein the view region is smaller than the user-interface; associating, by the head-mountable computing device, a forward-looking head position with a first location of the view region within the user-interface, wherein the fixed height of the content region is such that at least a portion of the content region is located above the view region, when the view region is at the first location associated with forward-looking head position; based on head movement data, moving the view region within the user-interface, wherein the head movement data is determined based on the input data that is indicative of head position; as the view region moves within the user-interface, displaying a portion of the user-interface corresponding to the view region in the see-through display; determining a first user-context associated with the head-mountable device; and dynamically changing the set of selectable content objects contained in the content region based on the determined first user-context. | 1. A method implemented by a head-mountable device comprising: receiving, by the head-mountable computing device, input data that is indicative of head position; providing, by the head-mountable computing device, a user-interface that comprises a content region containing a set of selectable content objects that are horizontally arranged, wherein the content region is located at a fixed height within the user-interface; defining, by the head-mountable computing device, a view region that is movable within the user-interface, wherein the view region is smaller than the user-interface; associating, by the head-mountable computing device, a forward-looking head position with a first location of the view region within the user-interface, wherein the fixed height of the content region is such that at least a portion of the content region is located above the view region, when the view region is at the first location associated with forward-looking head position; based on head movement data, moving the view region within the user-interface, wherein the head movement data is determined based on the input data that is indicative of head position; as the view region moves within the user-interface, displaying a portion of the user-interface corresponding to the view region in the see-through display; determining a first user-context associated with the head-mountable device; and dynamically changing the set of selectable content objects contained in the content region based on the determined first user-context. 9. The method of claim 1 , wherein determining the first user-context associated with the head-mountable device is performed repeatedly, and wherein dynamically changing the set of selectable content objects contained in the content region is also performed repeatedly. | 0.811915 |
10. A system for self-assembling software components, the system comprising: a processor; a memory coupled to the processor; a set of language components executed in the memory by the processor that each defines at least one part of at least one language runnable on a computer by associating a piece of grammar of the at least one language with at least one software component that implements the piece of grammar; a dependency analyzer executed in the memory by the processor that attempts to run the set of language components against at least one section of code and discovers from at least one unrecognized syntactic appearance that at least one language component needed to run the at least one section of code is not available; a first processing unit to provide the at least one section of the code to request access to the at least one language component that the dependency analyzer discovered; a second processing unit to access and/or receive the at least one requested language component in view of the at least one section of the code; and a third processing unit to perform a self-assemble of the first set of language components with the received at least one language component. | 10. A system for self-assembling software components, the system comprising: a processor; a memory coupled to the processor; a set of language components executed in the memory by the processor that each defines at least one part of at least one language runnable on a computer by associating a piece of grammar of the at least one language with at least one software component that implements the piece of grammar; a dependency analyzer executed in the memory by the processor that attempts to run the set of language components against at least one section of code and discovers from at least one unrecognized syntactic appearance that at least one language component needed to run the at least one section of code is not available; a first processing unit to provide the at least one section of the code to request access to the at least one language component that the dependency analyzer discovered; a second processing unit to access and/or receive the at least one requested language component in view of the at least one section of the code; and a third processing unit to perform a self-assemble of the first set of language components with the received at least one language component. 16. The system of claim 10 wherein each language component comprises a description of legal ways that a collection of language components and/or tokens are related to each other and at least one software component that implements what those relationships mean. | 0.529106 |
11. A system for monitoring activities of a person quoting information verbatim in an electronic document file being authored comprising: a computing platform having hardware for performing a logical process; a first user-selected insertion point or replacement area received from a user of the computing platform for placement of verbatim quoted information within a first user interface of the computing platform to a destination electronic document file; a source user interface of the computing platform to a source electronic document file from which user manipulations of the source electronic document file are received; one or more computer-readable text elements selected by the user subsequent to definition of the insertion point or replacement area to be transferred from the source user interface to the first insertion point or replacement area; an automatic copier portion of the computing platform configured to copy the selected text content to a transfer buffer subsequent to selection of the text content, the copier copying the elements without requiring the user to return to the first user interface; a source reference data item recorder portion computing platform configured to, responsive to the copying by the automatic copier, record one or more source reference data items corresponding to the selected text content; a reference note generator portion of the computing platform configured to produce in the destination electronic document file a footnote, endnote, or bibliographical entry comprising the one or more source reference data items; and a monitor report generator portion of the computing platform configured to automatically generate in background execution a human-readable monitor report containing the one or more source reference data items and an indicator of an identity of the user, wherein the background execution prevents knowledge by the user of the monitor report. | 11. A system for monitoring activities of a person quoting information verbatim in an electronic document file being authored comprising: a computing platform having hardware for performing a logical process; a first user-selected insertion point or replacement area received from a user of the computing platform for placement of verbatim quoted information within a first user interface of the computing platform to a destination electronic document file; a source user interface of the computing platform to a source electronic document file from which user manipulations of the source electronic document file are received; one or more computer-readable text elements selected by the user subsequent to definition of the insertion point or replacement area to be transferred from the source user interface to the first insertion point or replacement area; an automatic copier portion of the computing platform configured to copy the selected text content to a transfer buffer subsequent to selection of the text content, the copier copying the elements without requiring the user to return to the first user interface; a source reference data item recorder portion computing platform configured to, responsive to the copying by the automatic copier, record one or more source reference data items corresponding to the selected text content; a reference note generator portion of the computing platform configured to produce in the destination electronic document file a footnote, endnote, or bibliographical entry comprising the one or more source reference data items; and a monitor report generator portion of the computing platform configured to automatically generate in background execution a human-readable monitor report containing the one or more source reference data items and an indicator of an identity of the user, wherein the background execution prevents knowledge by the user of the monitor report. 14. The system as set forth in claim 11 wherein the source reference data item recorder is configured to record a system time, a system date, or both a system time and a system date. | 0.600083 |
1. A computer-implemented method of producing search results, comprising: at a computerized search engine system distinct from a client system: receiving a search request associated with a user from the client system, the search request having one or more search terms; obtaining a user profile corresponding to the user, wherein the user profile is generated based in part on the user's prior computing activities, comprising one or more of browsing, searching, and messaging; obtaining search results for the search request; generating a personalized snippet for at least one of the search results in accordance with the obtained user profile, the snippet comprising a text portion of the search result chosen based on at least one or more search terms of the search request and one or more terms of the obtained user profile; and transmitting the search results and personalized snippet to the client system for display, wherein the generating includes identifying content associated with one of the search results, determining a profile similarity score for a term in the content, and generating a snippet based at least in part on the term when the profile similarity score is above a threshold, and wherein determining the profile similarity score includes identifying a respective term profile associated with the at least one term and determining a similarity between the profile information associated with the user profile and the respective term profile. | 1. A computer-implemented method of producing search results, comprising: at a computerized search engine system distinct from a client system: receiving a search request associated with a user from the client system, the search request having one or more search terms; obtaining a user profile corresponding to the user, wherein the user profile is generated based in part on the user's prior computing activities, comprising one or more of browsing, searching, and messaging; obtaining search results for the search request; generating a personalized snippet for at least one of the search results in accordance with the obtained user profile, the snippet comprising a text portion of the search result chosen based on at least one or more search terms of the search request and one or more terms of the obtained user profile; and transmitting the search results and personalized snippet to the client system for display, wherein the generating includes identifying content associated with one of the search results, determining a profile similarity score for a term in the content, and generating a snippet based at least in part on the term when the profile similarity score is above a threshold, and wherein determining the profile similarity score includes identifying a respective term profile associated with the at least one term and determining a similarity between the profile information associated with the user profile and the respective term profile. 4. The method of claim 1 , wherein information associated with the user profile and information associated with the respective term profile are each represented as a plurality of profile categories and respective weights. | 0.819805 |
16. A recording medium storing a program allowing a computer to execute a signal processing operation of converting inputted speech voice data into a feature; a matching operation of referring to an acoustic model storing unit In which an acoustic model obtained by modeling what kind of feature a voice tends to have is stored in advance and a vocabulary dictionary storing unit in which information of a recognition vocabulary is stored in advance and using the feature and the acoustic model, thus calculating a matching score with the recognition vocabulary; a voice section detecting operation of detecting voice sections from the speech voice data based on the matching score calculated in the matching operation; a priority determining operation of selecting a voice section that includes a self-repair utterance from among the detected voice sections detected in the voice section detecting operation according to a predetermined priority criterion, without using any result of recognizing a speech vocabulary sequence; and a result output operation of outputting a word sequence having the best score in the matching operation as a recognized result. | 16. A recording medium storing a program allowing a computer to execute a signal processing operation of converting inputted speech voice data into a feature; a matching operation of referring to an acoustic model storing unit In which an acoustic model obtained by modeling what kind of feature a voice tends to have is stored in advance and a vocabulary dictionary storing unit in which information of a recognition vocabulary is stored in advance and using the feature and the acoustic model, thus calculating a matching score with the recognition vocabulary; a voice section detecting operation of detecting voice sections from the speech voice data based on the matching score calculated in the matching operation; a priority determining operation of selecting a voice section that includes a self-repair utterance from among the detected voice sections detected in the voice section detecting operation according to a predetermined priority criterion, without using any result of recognizing a speech vocabulary sequence; and a result output operation of outputting a word sequence having the best score in the matching operation as a recognized result. 17. The recording medium according to claim 16 , wherein in the priority determining operation, at least one selected from (1) a chronological order with respect to a voice section in which a pre-registered long vowel is detected in the matching operation, and (2) a chronological order with respect to a voice section in which an amount of change in the feature obtained in the signal processing operation continues within a predetermined range, is used as the predetermined priority criterion. | 0.5 |
5. A machine translation apparatus, as set forth in claim 3, wherein said determining means comprises means for determining said set of locally consistent solutions on the basis of knowledge information including a rule for deciding on the truth or falsehood of a fact justifying said words or phrases. | 5. A machine translation apparatus, as set forth in claim 3, wherein said determining means comprises means for determining said set of locally consistent solutions on the basis of knowledge information including a rule for deciding on the truth or falsehood of a fact justifying said words or phrases. 9. A machine translation apparatus, as set forth in claim 5, wherein said structure is a graph structure that brings said words or phrases into correspondence to nodes and said modificatory information into correspondence to edges. | 0.854442 |
1. A computer-implemented method for providing a toolbar displayed in a browser that includes filters for filtering context-specific search results, the method comprising: receiving one or more indicators that are associated with one or more filters that are useable to filter one or more context-specific search results obtained by the search engine; monitoring, via a computing device, a uniform resource locator (URL) address to which a browser navigates; identifying at least one indicator of the one or more received indicators that is contained within the monitored URL; determining that one or more filters are associated with the identified at least one indicator, and presenting, responsive to identifying the at least one indicator, at least one associated filter of the one or more associated filters, the at least one associated filter being presented in association with a toolbar on a computer display. | 1. A computer-implemented method for providing a toolbar displayed in a browser that includes filters for filtering context-specific search results, the method comprising: receiving one or more indicators that are associated with one or more filters that are useable to filter one or more context-specific search results obtained by the search engine; monitoring, via a computing device, a uniform resource locator (URL) address to which a browser navigates; identifying at least one indicator of the one or more received indicators that is contained within the monitored URL; determining that one or more filters are associated with the identified at least one indicator, and presenting, responsive to identifying the at least one indicator, at least one associated filter of the one or more associated filters, the at least one associated filter being presented in association with a toolbar on a computer display. 2. The method of claim 1 , wherein the method further comprises: receiving one or more of a representative image for the one or more associated filters, and one or more modifiers for incorporation into the monitored URL to apply a respective filter of the one or more associated filters. | 0.744994 |
22. The computer-readable medium of claim 21 , wherein the hyperlink has a visual representation in the document and wherein providing the visual indication comprises drawing a focus shape around the visual representation of the hyperlink. | 22. The computer-readable medium of claim 21 , wherein the hyperlink has a visual representation in the document and wherein providing the visual indication comprises drawing a focus shape around the visual representation of the hyperlink. 25. The computer-readable medium of claim 22 , wherein the focus shape is a polygon. | 0.895359 |
9. The computer-implemented method of claim 8 , wherein analyzing the text content to determine whether the text content includes two or more potentially semantically distinct segments comprises: analyzing the text content to determine whether the text content includes one or more text split points; and when the text content includes one or more text split points, splitting the text content at the one or more text split points to obtain the two or more potentially semantically distinct segments. | 9. The computer-implemented method of claim 8 , wherein analyzing the text content to determine whether the text content includes two or more potentially semantically distinct segments comprises: analyzing the text content to determine whether the text content includes one or more text split points; and when the text content includes one or more text split points, splitting the text content at the one or more text split points to obtain the two or more potentially semantically distinct segments. 10. The computer-implemented method of claim 9 , wherein determining, for each particular potentially semantically distinct segment, the segment insertion point based on the particular potentially semantically distinct segment comprises: utilizing a language model to determine a probability that the particular potentially semantically distinct segment is associated with each preceding textual message; and determining the segment insertion point based on the probability. | 0.826267 |
1. A method for generating scripts in a computer system, comprising: providing a user interface for enabling a user to perform user actions using said user interface to perform a user task; monitoring said user actions by said computer system; determining system operating environment information in accordance with said user actions; generating a script in accordance with said user actions and said determined system operating environment information for repeating said user task using said script generated in accordance with said determined system operating environment information, wherein said generating a script includes: creating a query using a combination of data representing said user actions and said determined system operating environment information and determining a plurality of previously generated scripts associated with the monitored user actions based on said query, wherein previously generated scripts are stored in a data repository; analyzing said monitored user actions; selecting a most efficient script from the plurality of previously generated scripts; and updating the selected, most efficient script responsive to the monitored user actions. | 1. A method for generating scripts in a computer system, comprising: providing a user interface for enabling a user to perform user actions using said user interface to perform a user task; monitoring said user actions by said computer system; determining system operating environment information in accordance with said user actions; generating a script in accordance with said user actions and said determined system operating environment information for repeating said user task using said script generated in accordance with said determined system operating environment information, wherein said generating a script includes: creating a query using a combination of data representing said user actions and said determined system operating environment information and determining a plurality of previously generated scripts associated with the monitored user actions based on said query, wherein previously generated scripts are stored in a data repository; analyzing said monitored user actions; selecting a most efficient script from the plurality of previously generated scripts; and updating the selected, most efficient script responsive to the monitored user actions. 4. The method of claim 1 , wherein said system operating environment information comprises configuration information. | 0.551465 |
45. The method for presenting an electronic document of claim 39 further comprising the step of creating a cognitively parsed file. | 45. The method for presenting an electronic document of claim 39 further comprising the step of creating a cognitively parsed file. 49. The method for presenting an electronic document of claim 45 further comprising the step of assigning a text opacity property to each word and cognitive cluster that is indicative of an importance or difficulty associated with each word and cognitive cluster. | 0.929712 |
13. A system for problem analysis comprising: a computer program stored within a computer-readable storage medium for execution on a computer system, the computer system comprising: one or more computer processing elements; one or more display devices; one or more user input devices; and communication elements for communicating with the one or more databases; one or more cause/effect databases having cause and effect elements stored in the cause/effect database; an event store comprising an element extractor and models having one or more event statements, wherein, based on a machine representation of a problem, the element extractor identifies an event statement from the models and determines which half of a cause-effect relationship is represented by the event statement and extracts elements from the event statement to determine a cause element or an effect element as half of the cause-effect relationship; a query formulator configured to generate a query based on the determined cause element or the determined effect element; and a knowledge search engine configured to determine one or more complete cause-effect relationships, wherein the knowledge search engine is adapted to: receive the query; search the one or more cause/effect databases to: locate one or more effect elements that form complete cause-effect relationships with the determined cause element of the query, or locate one or more cause elements that form complete cause-effect relationships with the determined effect element of the query; and output the one or more causes-effect relationships by presenting the determined cause element or effect element of the query with the located one or more effect elements or cause elements from the one or more knowledge bases. | 13. A system for problem analysis comprising: a computer program stored within a computer-readable storage medium for execution on a computer system, the computer system comprising: one or more computer processing elements; one or more display devices; one or more user input devices; and communication elements for communicating with the one or more databases; one or more cause/effect databases having cause and effect elements stored in the cause/effect database; an event store comprising an element extractor and models having one or more event statements, wherein, based on a machine representation of a problem, the element extractor identifies an event statement from the models and determines which half of a cause-effect relationship is represented by the event statement and extracts elements from the event statement to determine a cause element or an effect element as half of the cause-effect relationship; a query formulator configured to generate a query based on the determined cause element or the determined effect element; and a knowledge search engine configured to determine one or more complete cause-effect relationships, wherein the knowledge search engine is adapted to: receive the query; search the one or more cause/effect databases to: locate one or more effect elements that form complete cause-effect relationships with the determined cause element of the query, or locate one or more cause elements that form complete cause-effect relationships with the determined effect element of the query; and output the one or more causes-effect relationships by presenting the determined cause element or effect element of the query with the located one or more effect elements or cause elements from the one or more knowledge bases. 14. The system according to claim 13 , wherein the element extractor is configured to extract either the cause element or the effect element from the at least one event statement. | 0.565535 |
9. The device of claim 8 , wherein the media decoders, compositor and renderer further comprise: a video object decoder connected to the video object programmer interface; an audio object decoder connected to the audio object programmer interface; an image object decoder connected to the image object programmer interface; and a scene compositor connected to each of the video object decoder, the audio object decoder, and the image object decoder. | 9. The device of claim 8 , wherein the media decoders, compositor and renderer further comprise: a video object decoder connected to the video object programmer interface; an audio object decoder connected to the audio object programmer interface; an image object decoder connected to the image object programmer interface; and a scene compositor connected to each of the video object decoder, the audio object decoder, and the image object decoder. 10. The device of claim 9 , wherein the scene compositor is connected to the means for interacting with the user and the means for interacting with the user is connected to the scene compositor. | 0.83641 |
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