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7,661,060 | 1 | 2 | 1. A mobile communication terminal to reproduce multimedia, the terminal comprising: an input unit that receives a Synchronized Multimedia Integration Language (SMIL) document at the mobile communication terminal; a SMIL analyzer that generates a Document Object Model (DOM) tree from the SMIL document; a control table generator that generates a predetermined control table based on the DOM tree; a media reproducing unit that reproduces media data of the SMIL document on the mobile communication terminal; and a controller that controls the media reproducing unit based on the predetermined control table, wherein the predetermined control table comprises a reproduction control table and a stop control table, the reproduction control table including a first plurality of time sections and a plurality of kinds or names of media to be reproduced at the corresponding first plurality of time sections, the stop control table including a second plurality of time sections and a plurality of kinds or names of media to be stopped from being reproduced at the corresponding second plurality of time sections, wherein each media specified in the predetermined control table has a connection structure of a linked list, wherein when there is a plurality of media items to be reproduced, the media reproducing unit aligns the media items according to a z-index alignment method and reproduces the media items starting from a media item having a lowest order under control of the controller, wherein the stop control table and the reproduction control table are separately operated, and wherein the controller arbitrarily adjusts a stop time of media being reproduced according to a user's input. | 1. A mobile communication terminal to reproduce multimedia, the terminal comprising: an input unit that receives a Synchronized Multimedia Integration Language (SMIL) document at the mobile communication terminal; a SMIL analyzer that generates a Document Object Model (DOM) tree from the SMIL document; a control table generator that generates a predetermined control table based on the DOM tree; a media reproducing unit that reproduces media data of the SMIL document on the mobile communication terminal; and a controller that controls the media reproducing unit based on the predetermined control table, wherein the predetermined control table comprises a reproduction control table and a stop control table, the reproduction control table including a first plurality of time sections and a plurality of kinds or names of media to be reproduced at the corresponding first plurality of time sections, the stop control table including a second plurality of time sections and a plurality of kinds or names of media to be stopped from being reproduced at the corresponding second plurality of time sections, wherein each media specified in the predetermined control table has a connection structure of a linked list, wherein when there is a plurality of media items to be reproduced, the media reproducing unit aligns the media items according to a z-index alignment method and reproduces the media items starting from a media item having a lowest order under control of the controller, wherein the stop control table and the reproduction control table are separately operated, and wherein the controller arbitrarily adjusts a stop time of media being reproduced according to a user's input. 2. The terminal of claim 1 , wherein the controller drives a timer and checks the control table at each of the first plurality of time sections and the second plurality of time sections, and wherein when there is media to be reproduced at a first time section specified in the reproduction control table, the controller reproduces the corresponding media and when there is media to be stopped from reproduction at a second time section specified in the stop control table, the controller stops reproducing of the corresponding media. | 0.500936 |
8,364,509 | 1 | 22 | 1. A method of measuring performance parameters and reporting on at least one aspect of respective performance parameters of a plurality of agents, the method comprising at least the following: measuring in an agent training system at least a plurality of data, including data representing agent performance parameters for each of the plurality, of agents, wherein the plurality of data representing agent performance parameters includes data related to at least one of either sections or teams to which an agent is assigned or associated, personal development meetings (PDMs) during which the agent receives constructive criticism or other remedial instruction related to improving job performance, wherein the plurality of data is related to improving the job performance of at least one of the plurality of agents on an individual agent-basis or a group-level agent-basis; receiving from the agent training system the plurality of data from a first input representing respective performance parameters pertaining to the plurality of agents on the individual agent-basis or the group-level agent-basis working at least one call center; organizing the at least plurality of data related to improving the job performance received from the first input in a data store in at least one of a plurality of user-specified parameters; storing the at least plurality of data related to improving the job performance received from the first input in the data store arranged in at least one of the plurality of user-specified parameters for subsequent query and retrieval; receiving at least one query of the data store by a user pertaining to the improving job performance of at least one of the agents on the individual agent-basis or the group-level agent-basis; processing an output determined by the at least first input of at least the plurality of the data related to the improving job performance in response to the query and processing the output results in the plurality of data related to remedial instruction related to improving a job performance arranged in one of the plurality of user-specified parameters, including at least one of a productivity parameter, a conversion parameter, a schedule adherence parameter, and a number of calls parameter by a given agent; and presenting at least one report as determined by the output of the query to the at least one user. | 1. A method of measuring performance parameters and reporting on at least one aspect of respective performance parameters of a plurality of agents, the method comprising at least the following: measuring in an agent training system at least a plurality of data, including data representing agent performance parameters for each of the plurality, of agents, wherein the plurality of data representing agent performance parameters includes data related to at least one of either sections or teams to which an agent is assigned or associated, personal development meetings (PDMs) during which the agent receives constructive criticism or other remedial instruction related to improving job performance, wherein the plurality of data is related to improving the job performance of at least one of the plurality of agents on an individual agent-basis or a group-level agent-basis; receiving from the agent training system the plurality of data from a first input representing respective performance parameters pertaining to the plurality of agents on the individual agent-basis or the group-level agent-basis working at least one call center; organizing the at least plurality of data related to improving the job performance received from the first input in a data store in at least one of a plurality of user-specified parameters; storing the at least plurality of data related to improving the job performance received from the first input in the data store arranged in at least one of the plurality of user-specified parameters for subsequent query and retrieval; receiving at least one query of the data store by a user pertaining to the improving job performance of at least one of the agents on the individual agent-basis or the group-level agent-basis; processing an output determined by the at least first input of at least the plurality of the data related to the improving job performance in response to the query and processing the output results in the plurality of data related to remedial instruction related to improving a job performance arranged in one of the plurality of user-specified parameters, including at least one of a productivity parameter, a conversion parameter, a schedule adherence parameter, and a number of calls parameter by a given agent; and presenting at least one report as determined by the output of the query to the at least one user. 22. The method of claim 1 , wherein receiving data includes receiving data representing at least one administrative task performed by the agents. | 0.804582 |
7,516,468 | 1 | 3 | 1. A method for transmitting interactive television information over a television broadcast, comprising: compiling business data into a binary form, the business data comprising descriptions of products, wherein said business data is compiled for use by a set-top box; generating a script using a script authoring tool, wherein said compiled business data is processed according to said generated script independent from a further user interaction; and transmitting a stream, comprising the compiled business data and the script, to a receiver for generating video information for a user's television, wherein the receiver uses the script to access the compiled business data and generate a presentation of the products for the user. | 1. A method for transmitting interactive television information over a television broadcast, comprising: compiling business data into a binary form, the business data comprising descriptions of products, wherein said business data is compiled for use by a set-top box; generating a script using a script authoring tool, wherein said compiled business data is processed according to said generated script independent from a further user interaction; and transmitting a stream, comprising the compiled business data and the script, to a receiver for generating video information for a user's television, wherein the receiver uses the script to access the compiled business data and generate a presentation of the products for the user. 3. The method of claim 1 wherein the compiling of the business data is configured to improve access speed to the business data. | 0.851981 |
7,505,907 | 1 | 7 | 1. A method for generating a Speech Hyperlink-Time table in conjunction with a system of universal time that provides a same absolute time for every geographical location on Earth, said method comprising: creating a Speech Hyperlink table structured with columns and rows, wherein the columns of the Speech Hyperlink table consist of a column for storing hyperlinked terms, a column for storing universal times at which corresponding hyperlinked terms are recognized, and a column for storing network addresses linking corresponding hyperlinked term and a corresponding network address of a network, wherein the Speech Hyperlink table comprises a plurality of entries, wherein each entry of the plurality of entries corresponding to a row of the Speech Hyperlink table and comprises a hyperlinked term and a corresponding network address of the network, wherein said network address links the hyperlinked term to information relating to the hyperlinked term, wherein said information is on a server of the network; and while a speech is being spoken by a speaker, recognizing each hyperlinked term of the Speech Hyperlink table being spoken by the speaker, said recognizing being performed by a speech recognition system on a computing device, and for each recognized hyperlinked term: determining a universal time at which the hyperlinked term was recognized; ascertaining, from the Speech Hyperlink table, a network address that corresponds to the recognized hyperlinked term; and generating a row in the Speech Hyperlink-Time table, wherein said row comprises the universal time, the recognized hyperlinked term, and the network address that corresponds to the recognized hyperlinked term. | 1. A method for generating a Speech Hyperlink-Time table in conjunction with a system of universal time that provides a same absolute time for every geographical location on Earth, said method comprising: creating a Speech Hyperlink table structured with columns and rows, wherein the columns of the Speech Hyperlink table consist of a column for storing hyperlinked terms, a column for storing universal times at which corresponding hyperlinked terms are recognized, and a column for storing network addresses linking corresponding hyperlinked term and a corresponding network address of a network, wherein the Speech Hyperlink table comprises a plurality of entries, wherein each entry of the plurality of entries corresponding to a row of the Speech Hyperlink table and comprises a hyperlinked term and a corresponding network address of the network, wherein said network address links the hyperlinked term to information relating to the hyperlinked term, wherein said information is on a server of the network; and while a speech is being spoken by a speaker, recognizing each hyperlinked term of the Speech Hyperlink table being spoken by the speaker, said recognizing being performed by a speech recognition system on a computing device, and for each recognized hyperlinked term: determining a universal time at which the hyperlinked term was recognized; ascertaining, from the Speech Hyperlink table, a network address that corresponds to the recognized hyperlinked term; and generating a row in the Speech Hyperlink-Time table, wherein said row comprises the universal time, the recognized hyperlinked term, and the network address that corresponds to the recognized hyperlinked term. 7. The method of claim 1 , wherein the speech is comprised by a radio program or a television program. | 0.872818 |
8,037,003 | 9 | 10 | 9. The computer based system according to claim 8 , wherein the case log vectors are mapped into semantic case log vectors wherein d randomly sampled case logs are represented by a t×d matrix M, where each column vector is the vector corresponding to the j th case log, and wherein r is the rank of M, where the singular value decomposition (SVD) of M is M=T×S×D′, where T, a t×r matrix, and D, a d×r matrix, have orthonormal column vectors and S is a diagonal matrix with singular values ranked in a descending order, and wherein T k , S k , D k , are the resulted matrices by keeping only the first k columns of T, S, D, where k should be the number of semantic concepts in the case logs which produces a case log vector x that is folded into the k-dimensional semantic space by x k =x×T k , which maps x, a t-dimensional case log vector, into x k , a k-dimensional semantic case log vector. | 9. The computer based system according to claim 8 , wherein the case log vectors are mapped into semantic case log vectors wherein d randomly sampled case logs are represented by a t×d matrix M, where each column vector is the vector corresponding to the j th case log, and wherein r is the rank of M, where the singular value decomposition (SVD) of M is M=T×S×D′, where T, a t×r matrix, and D, a d×r matrix, have orthonormal column vectors and S is a diagonal matrix with singular values ranked in a descending order, and wherein T k , S k , D k , are the resulted matrices by keeping only the first k columns of T, S, D, where k should be the number of semantic concepts in the case logs which produces a case log vector x that is folded into the k-dimensional semantic space by x k =x×T k , which maps x, a t-dimensional case log vector, into x k , a k-dimensional semantic case log vector. 10. The computer based system according to claim 9 , further including a case clustering component that clusters the semantic case log vectors into groups based on their mutual correlations, wherein the number of case log vectors is n and the maximum number of case clusters is K max , for K=1 to K max , the clustering algorithm a) clusters n vectors into K clusters by using K-means algorithm with refined initial centroids, b) evaluates the performance of the K clusters by Bayesian Information Criterion (BIC) scores, and c) stores the above K cluster centroids and their evaluation score as a clustering scheme, wherein the clustering scheme with the best evaluation score is output. | 0.679702 |
8,655,905 | 17 | 18 | 17. The system of claim 15 further comprising the computer further configured for controlling a frequency at which the providing both the query result list and the query refinement options list is performed, where the frequency is determined based at least in part on the characters. | 17. The system of claim 15 further comprising the computer further configured for controlling a frequency at which the providing both the query result list and the query refinement options list is performed, where the frequency is determined based at least in part on the characters. 18. The system of claim 17 where the frequency is further determined based at least in part on adaptations unique to each of a plurality of users. | 0.876897 |
9,177,550 | 1 | 9 | 1. A computing device comprising a recognition system, the recognition system comprising: a deep neural network (DNN) trained using training data corresponding to a plurality of users, the DNN parameterized by a plurality of parameters and comprising multiple layers, the multiple layers comprising: an input layer that receives features of a captured observation; a plurality of hidden layers, each hidden layer comprising a respective plurality of nodes, each node in a hidden layer being configured to perform a nonlinear transformation on output of at least one node from an adjacent layer in the DNN; and an output layer that comprises models of context-dependent units, the output layer receiving outputs of nodes from an uppermost hidden layer in the DNN, wherein output of the DNN comprises a probability distribution over the models of the context-dependent units; and an adapter component that conservatively adapts at least one parameter of the plurality of parameters to form an adapted DNN, wherein the adaptor component conservatively adapts the at least one parameter of the plurality of parameters such that deviation between outputs of the DNN and the adapted DNN is constrained. | 1. A computing device comprising a recognition system, the recognition system comprising: a deep neural network (DNN) trained using training data corresponding to a plurality of users, the DNN parameterized by a plurality of parameters and comprising multiple layers, the multiple layers comprising: an input layer that receives features of a captured observation; a plurality of hidden layers, each hidden layer comprising a respective plurality of nodes, each node in a hidden layer being configured to perform a nonlinear transformation on output of at least one node from an adjacent layer in the DNN; and an output layer that comprises models of context-dependent units, the output layer receiving outputs of nodes from an uppermost hidden layer in the DNN, wherein output of the DNN comprises a probability distribution over the models of the context-dependent units; and an adapter component that conservatively adapts at least one parameter of the plurality of parameters to form an adapted DNN, wherein the adaptor component conservatively adapts the at least one parameter of the plurality of parameters such that deviation between outputs of the DNN and the adapted DNN is constrained. 9. The computing device of claim 1 , wherein the adapter component adapts less than all adaptable parameters of the DNN when conservatively adapting the at least one parameter of the DNN. | 0.722552 |
7,849,070 | 18 | 19 | 18. A system for dynamically ranking, links to items of audio content returned to a user in response to the execution of a query by a search engine, tile system comprising: a search provider comprising a data store, wherein the data store comprise a storage device for persistent storage of information, and a query planner component, the query planner component parsing a query into one or more logical units and annotating the one or more logical units with category information, wherein annotating includes an annotation related to audio content; identifying a context of search according to the query, to identify links and the annotation for each of the one or more logical units; a search engine receiving a query and searching an index to identify links to items of audio content responsive to the query, tile search engine further selecting the ranking heuristic comprising an algorithm for ranking items of audio content available from structured sources higher than audio content available from unstructured sources, the search engine even further generating a result set that is ranked according to the context of search and annotations for each of the one or more logical units as annotated by the query planner; and providing, through the search provider, a set of links for navigating to a preferred provider of an item in the result set, wherein the preferred provider provides audio content and is designated by a user in a user profile. | 18. A system for dynamically ranking, links to items of audio content returned to a user in response to the execution of a query by a search engine, tile system comprising: a search provider comprising a data store, wherein the data store comprise a storage device for persistent storage of information, and a query planner component, the query planner component parsing a query into one or more logical units and annotating the one or more logical units with category information, wherein annotating includes an annotation related to audio content; identifying a context of search according to the query, to identify links and the annotation for each of the one or more logical units; a search engine receiving a query and searching an index to identify links to items of audio content responsive to the query, tile search engine further selecting the ranking heuristic comprising an algorithm for ranking items of audio content available from structured sources higher than audio content available from unstructured sources, the search engine even further generating a result set that is ranked according to the context of search and annotations for each of the one or more logical units as annotated by the query planner; and providing, through the search provider, a set of links for navigating to a preferred provider of an item in the result set, wherein the preferred provider provides audio content and is designated by a user in a user profile. 19. The system of claim 18 wherein the search engine is operative to receive a query from a client device. | 0.794574 |
9,195,947 | 1 | 7 | 1. A method for maintaining a representative data set in a document classification system, the method comprising: including an initial set of seed representative data in a representative data set (RDS) implemented for a knowledge base (KB), wherein the KB is trained to classify documents provided to a document classification system based on analysis of representative documents included in the RDS and a set of rules, wherein the seed representative data includes a balanced number of representative data across a plurality of classes; updating the RDS by adding or removing representative data from the RDS based on feedback received about accuracy of classification of one or more documents by the classification system, wherein the representative data is associated with one or more classes in the plurality of classes; further updating the RDS such that a number of classes with which the representative data is associated and the number of representative data in each class is adjusted to maintain a balanced inclusion of representative data in each class; and retraining the KB, wherein the retraining is performed based on occurrence of one or more events. | 1. A method for maintaining a representative data set in a document classification system, the method comprising: including an initial set of seed representative data in a representative data set (RDS) implemented for a knowledge base (KB), wherein the KB is trained to classify documents provided to a document classification system based on analysis of representative documents included in the RDS and a set of rules, wherein the seed representative data includes a balanced number of representative data across a plurality of classes; updating the RDS by adding or removing representative data from the RDS based on feedback received about accuracy of classification of one or more documents by the classification system, wherein the representative data is associated with one or more classes in the plurality of classes; further updating the RDS such that a number of classes with which the representative data is associated and the number of representative data in each class is adjusted to maintain a balanced inclusion of representative data in each class; and retraining the KB, wherein the retraining is performed based on occurrence of one or more events. 7. The method of claim 1 , wherein the updating of the RDS is performed, in response to determining that a number of representative data associated with a first class from among said plurality of classes is below a second threshold. | 0.502146 |
8,447,771 | 1 | 3 | 1. A method for generating queries for at least one of retrieving data that satisfy a conditional expression from a database and performing a calculation on at least part of the retrieved data, the method comprising: receiving, at one or more computer systems, a first query containing at least one first conditional expression; determining, with one or more processors associated with the one or more computer systems, a first replaceable token and a second replaceable token in the first query; retrieving, with the one or more processors associated with the one or more computer systems, a parameter definition for a first instance of a parameter corresponding to the first replaceable token in the first query from a pool of parameter definitions that exist outside of a report or query that includes the first query; verifying that the at least one first conditional expression in the query references the parameter having the persistent parameter definition; in response to the at least one first conditional expression referencing the parameter having the persistent parameter definition, obtaining user input for a first instance of the parameter and user input for a second instance of the parameter based on the persistent parameter definition, wherein obtaining user input comprises: generating, with the one or more processors associated with the one or more computer systems, a first graphical user interface in response to processing the first query based on the parameter definition for the first instance of the parameter corresponding to the first replaceable token identified in the first query, the parameter definition including information configured to prompt users for information indicative of a conditional expression and a calculation, wherein the first graphical user interface is sent and displayed to a user as a prompt for first information indicative of a second conditional expression and a first calculation; receiving first user input from a user, wherein the first user input comprises the second conditional expression and first calculation; generating, with the one or more processors associated with the one or more computer systems, a second graphical user interface in response to processing the first query based on reusing the parameter definition for the second instance of the parameter corresponding to the second replaceable token identified in the first query, wherein the second graphical user interface is sent and displayed to a user as a prompt for second information indicative of a third conditional expression and a second calculation; receiving second user input from a user, wherein the second user input comprises the third conditional expression and second calculation; replacing the first replaceable token with the second conditional expression and the first calculation and replacing the second token with the third conditional expression and the second calculation; in response to replacing the first replaceable token identified in the first query with the second conditional expression and the first calculation and the second replaceable token identified in the first query with the third conditional expression and the second calculation, performing generation of a second query for retrieving data that satisfy the at least one first conditional expression; retrieving data that satisfies the at least one first conditional expression, wherein retrieving data that satisfies the at least one first conditional expression comprises evaluating the second conditional expression and the third conditional expression; and performing the first calculation and the second calculation on the retrieved data. | 1. A method for generating queries for at least one of retrieving data that satisfy a conditional expression from a database and performing a calculation on at least part of the retrieved data, the method comprising: receiving, at one or more computer systems, a first query containing at least one first conditional expression; determining, with one or more processors associated with the one or more computer systems, a first replaceable token and a second replaceable token in the first query; retrieving, with the one or more processors associated with the one or more computer systems, a parameter definition for a first instance of a parameter corresponding to the first replaceable token in the first query from a pool of parameter definitions that exist outside of a report or query that includes the first query; verifying that the at least one first conditional expression in the query references the parameter having the persistent parameter definition; in response to the at least one first conditional expression referencing the parameter having the persistent parameter definition, obtaining user input for a first instance of the parameter and user input for a second instance of the parameter based on the persistent parameter definition, wherein obtaining user input comprises: generating, with the one or more processors associated with the one or more computer systems, a first graphical user interface in response to processing the first query based on the parameter definition for the first instance of the parameter corresponding to the first replaceable token identified in the first query, the parameter definition including information configured to prompt users for information indicative of a conditional expression and a calculation, wherein the first graphical user interface is sent and displayed to a user as a prompt for first information indicative of a second conditional expression and a first calculation; receiving first user input from a user, wherein the first user input comprises the second conditional expression and first calculation; generating, with the one or more processors associated with the one or more computer systems, a second graphical user interface in response to processing the first query based on reusing the parameter definition for the second instance of the parameter corresponding to the second replaceable token identified in the first query, wherein the second graphical user interface is sent and displayed to a user as a prompt for second information indicative of a third conditional expression and a second calculation; receiving second user input from a user, wherein the second user input comprises the third conditional expression and second calculation; replacing the first replaceable token with the second conditional expression and the first calculation and replacing the second token with the third conditional expression and the second calculation; in response to replacing the first replaceable token identified in the first query with the second conditional expression and the first calculation and the second replaceable token identified in the first query with the third conditional expression and the second calculation, performing generation of a second query for retrieving data that satisfy the at least one first conditional expression; retrieving data that satisfies the at least one first conditional expression, wherein retrieving data that satisfies the at least one first conditional expression comprises evaluating the second conditional expression and the third conditional expression; and performing the first calculation and the second calculation on the retrieved data. 3. The method of claim 1 wherein generating, with the one or more processors associated with the one or more computer systems, the second query further comprises generating the second query such that the results of performing the calculation are juxtaposed with the data on which the calculation was performed. | 0.530303 |
9,412,376 | 15 | 16 | 15. A computer-implemented method comprising: receiving, by a first user device, an audio signal that is generated by the first user device and that encodes an utterance; obtaining, by the first user device, a first score that indicates a respective likelihood that the utterance was spoken by a first user of the first user device; determining, by the first user device for a second user of a corresponding second user device, that the second user device is co-located with the first user device; identifying, by the first user device, one or more third speaker models associated with the first user device; and determining, by the first user device, that a subset of the third speaker models comprises a second speaker model for the second user in response to (i) determining that the second user device is co-located with the first user device and (ii) receiving the audio signal that is generated by the first user device and that encodes the utterance; determining, by the first user device, that the utterance was spoken by the first user using the first score and the second speaker model; and performing an action that corresponds with a spoken command encoded in the audio signal in response to determining that the utterance was spoken by the first user. | 15. A computer-implemented method comprising: receiving, by a first user device, an audio signal that is generated by the first user device and that encodes an utterance; obtaining, by the first user device, a first score that indicates a respective likelihood that the utterance was spoken by a first user of the first user device; determining, by the first user device for a second user of a corresponding second user device, that the second user device is co-located with the first user device; identifying, by the first user device, one or more third speaker models associated with the first user device; and determining, by the first user device, that a subset of the third speaker models comprises a second speaker model for the second user in response to (i) determining that the second user device is co-located with the first user device and (ii) receiving the audio signal that is generated by the first user device and that encodes the utterance; determining, by the first user device, that the utterance was spoken by the first user using the first score and the second speaker model; and performing an action that corresponds with a spoken command encoded in the audio signal in response to determining that the utterance was spoken by the first user. 16. The method of claim 15 comprising: removing, by the first user device, the association between the third speaker models not included in the subset of the third speaker models and the first user device. | 0.8454 |
8,412,554 | 39 | 40 | 39. A method of representing user tasks to be performed by interaction of a plurality of electronic devices in a task orchestration system, the method comprising: employing a controller device for: expressing device functionality as a device description specifying a function that the device can perform; generating task suggestions based on task suggestions obtained from multiple electronic devices of the plurality of electronic devices, wherein task descriptions are dynamically determined at runt-time of the task orchestration system, and a task description comprises task external description outlining task suggestions for interaction with a user, task properties, task functionalities and task actions, wherein each task suggestion represents a user task as an abstraction of one or more of the device descriptions; applying user preferences over the generated task suggestions to determine a rank order for the generated task suggestions; and causing task suggestions to be displayed in the rank order on a display for the user to select from, wherein user tasks are decoupled from the devices. | 39. A method of representing user tasks to be performed by interaction of a plurality of electronic devices in a task orchestration system, the method comprising: employing a controller device for: expressing device functionality as a device description specifying a function that the device can perform; generating task suggestions based on task suggestions obtained from multiple electronic devices of the plurality of electronic devices, wherein task descriptions are dynamically determined at runt-time of the task orchestration system, and a task description comprises task external description outlining task suggestions for interaction with a user, task properties, task functionalities and task actions, wherein each task suggestion represents a user task as an abstraction of one or more of the device descriptions; applying user preferences over the generated task suggestions to determine a rank order for the generated task suggestions; and causing task suggestions to be displayed in the rank order on a display for the user to select from, wherein user tasks are decoupled from the devices. 40. The method of claim 39 , wherein the device description comprises a device functionality description and device grounding. | 0.827397 |
9,684,641 | 10 | 15 | 10. The method as recited in claim 6 , wherein presenting the portion of the first version and presenting the portion of the second version further comprises presenting the portion of the second version on a display adjacent to the portion of the first version. | 10. The method as recited in claim 6 , wherein presenting the portion of the first version and presenting the portion of the second version further comprises presenting the portion of the second version on a display adjacent to the portion of the first version. 15. The method as recited in claim 10 , further comprising: hiding the portion of the first version or the portion of the second version in response to receiving an input; and displaying an indicator to indicate that the hidden portion of the first version or the hidden portion of the second version is available to be unhidden. | 0.935942 |
9,454,562 | 17 | 20 | 17. The device of claim 16 further comprising generating aggregate information, and the at least one first data source comprises the aggregate information. | 17. The device of claim 16 further comprising generating aggregate information, and the at least one first data source comprises the aggregate information. 20. The device of claim 17 wherein the aggregate information includes a plurality of articles, and each article of the plurality of articles receives a factual accuracy rating based on fact checking, further wherein an article of the plurality of articles with a lowest factual accuracy rating is summarized with a base number of sentences, and articles with higher factual accuracy ratings are summarized with the base number of sentences plus additional sentences such that the article with the highest factual accuracy rating is summarized with the base number of sentences plus a maximum number of additional sentences. | 0.858087 |
8,935,192 | 10 | 18 | 10. A system comprising: a processor; and computer-readable medium coupled to the processor and having instructions stored thereon, which, when executed by the processor, cause the processor to perform operations comprising: determining, for each of one or more topics associated with the user, an expertise score indicating a level of expertise the user has with the respective topic, a responsiveness score indicating responsiveness of the user to previous questions routed to the user about the respective topic, and a quality score indicating a quality of answers, by the user, to the previous questions about the respective topic; obtaining one or more additional topics, not explicitly associated with the user; determining, for each of one or more additional topics, an expertise score indicating a level of expertise the user has with the respective additional topic; associating for each of the one or more topics and the one or more additional topics, the expertise score, the responsiveness score, and the quality score with the user; and selectively routing one or more queries to the user in response to the user being identified as a candidate answerer from a plurality of users based on one or more of the expertise score, the responsiveness score and the quality score. | 10. A system comprising: a processor; and computer-readable medium coupled to the processor and having instructions stored thereon, which, when executed by the processor, cause the processor to perform operations comprising: determining, for each of one or more topics associated with the user, an expertise score indicating a level of expertise the user has with the respective topic, a responsiveness score indicating responsiveness of the user to previous questions routed to the user about the respective topic, and a quality score indicating a quality of answers, by the user, to the previous questions about the respective topic; obtaining one or more additional topics, not explicitly associated with the user; determining, for each of one or more additional topics, an expertise score indicating a level of expertise the user has with the respective additional topic; associating for each of the one or more topics and the one or more additional topics, the expertise score, the responsiveness score, and the quality score with the user; and selectively routing one or more queries to the user in response to the user being identified as a candidate answerer from a plurality of users based on one or more of the expertise score, the responsiveness score and the quality score. 18. The system of claim 10 , where the expertise score is based on the plurality of topic sources. | 0.90595 |
9,378,203 | 17 | 26 | 17. At least one non-transitory computer readable storage medium storing processor-executable instructions that when executed by at least one processor, cause the at least one processor to perform a method for providing information selected from a large set of digital content to at least one user, the method comprising: receiving user context information associated with the at least one user; identifying or generating a first concept in a semantic network, the first concept representing at least a portion of the user context information, wherein, after performance of the identifying or generating, the semantic network comprises a first node representing the first concept; synthesizing a second concept, semantically relevant to the first concept, and augmenting the semantic network with a second node representing the second concept, the second node being different from the first node, the synthesizing comprising: identifying in the semantic network a third concept that, together with the first concept or a parent or sibling concept of the first concept, co-defines a fourth concept in the semantic network, and combining the first concept and the third concept to synthesize the second concept; and providing information to the at least one user, wherein the information is selected by using the first concept and the synthesized second concept semantically relevant to the first concept, wherein the first and second concepts in the semantic network are represented by at least one data structure storing data associated with the first and second nodes. | 17. At least one non-transitory computer readable storage medium storing processor-executable instructions that when executed by at least one processor, cause the at least one processor to perform a method for providing information selected from a large set of digital content to at least one user, the method comprising: receiving user context information associated with the at least one user; identifying or generating a first concept in a semantic network, the first concept representing at least a portion of the user context information, wherein, after performance of the identifying or generating, the semantic network comprises a first node representing the first concept; synthesizing a second concept, semantically relevant to the first concept, and augmenting the semantic network with a second node representing the second concept, the second node being different from the first node, the synthesizing comprising: identifying in the semantic network a third concept that, together with the first concept or a parent or sibling concept of the first concept, co-defines a fourth concept in the semantic network, and combining the first concept and the third concept to synthesize the second concept; and providing information to the at least one user, wherein the information is selected by using the first concept and the synthesized second concept semantically relevant to the first concept, wherein the first and second concepts in the semantic network are represented by at least one data structure storing data associated with the first and second nodes. 26. The at least one non-transitory computer readable storage medium of claim 17 , wherein identifying or generating the first concept in the semantic network comprises identifying a concept in the semantic network covering more words in the at least a portion of the user context information than any other concept in the semantic network. | 0.702797 |
7,877,395 | 1 | 10 | 1. A method for identifying one or more items of video content responsive to a given query in a computerized system, the method comprising: electronically receiving a query comprising one or more terms from a given user; electronically identifying one or more alternative queries related to the received query, wherein the one or more alternative queries are generated using a query-candidate pair model based upon logs of user web accesses, wherein a web access comprises a web search, user identifier, and timestamp; electronically identifying one or more items of video content responsive to the received query and to the one or more alternative queries; electronically generating a result set comprising one or more links to the one or more items of video content responsive to the received query; electronically identifying the one or more links in the result set associated with items of premium video content; electronically filtering the one or more links in the result set associated with items of premium video content on the basis of information associated with the user from which the query was received that is maintained in a user profile, wherein the filtering includes placing a link associated with one of the items of premium video content in a paid position in the result set based on metadata associated therewith, the metadata indicating a position paid for by the content provider, the position in the result set based on the one or more terms in the query received from the given user; and electronically identifying one or more given items of premium video content the user is unable to access associated with the one or more links identified in the result set, the one or more given items of premium video content are identified along with the one or more links in the result set. | 1. A method for identifying one or more items of video content responsive to a given query in a computerized system, the method comprising: electronically receiving a query comprising one or more terms from a given user; electronically identifying one or more alternative queries related to the received query, wherein the one or more alternative queries are generated using a query-candidate pair model based upon logs of user web accesses, wherein a web access comprises a web search, user identifier, and timestamp; electronically identifying one or more items of video content responsive to the received query and to the one or more alternative queries; electronically generating a result set comprising one or more links to the one or more items of video content responsive to the received query; electronically identifying the one or more links in the result set associated with items of premium video content; electronically filtering the one or more links in the result set associated with items of premium video content on the basis of information associated with the user from which the query was received that is maintained in a user profile, wherein the filtering includes placing a link associated with one of the items of premium video content in a paid position in the result set based on metadata associated therewith, the metadata indicating a position paid for by the content provider, the position in the result set based on the one or more terms in the query received from the given user; and electronically identifying one or more given items of premium video content the user is unable to access associated with the one or more links identified in the result set, the one or more given items of premium video content are identified along with the one or more links in the result set. 10. The method of claim 1 wherein generating a result set comprises retrieving one or more links to the one or more items of video content and associated metadata responsive to the received query. | 0.6609 |
9,047,347 | 1 | 2 | 1. A computer-implemented method of merging text analysis results, comprising: processing, by a computer system, a plurality of text information according to a first text processing service to generate a first plurality of instances annotated according to a first taxonomy having a first set of elements; processing, by the computer system, the plurality of text information according to a second text processing service to generate a second plurality of instances annotated according to a second taxonomy having a second set of elements; calculating, by the computer system, a first coefficient between a first set of instances and a second set of instances according to a first corrected, weakened Jaccard factor, wherein the first set of instances corresponds to a first element of the first set of elements and wherein the second set of instances corresponds to a second element of the second set of elements; calculating, by the computer system, a second coefficient between the first set of instances and the second set of instances according to a second corrected, weakened Jaccard factor; calculating, by the computer system, a third coefficient between the first set of instances and the second set of instances according to a third corrected, weakened Jaccard factor; determining, by the computer system, that the first element is a subtype of the second element, that the second element is a subtype of the first element, or that the first element is associated with the second element, according to the first coefficient, the second coefficient and the third coefficient; and merging, by the computer system, the first taxonomy and the second taxonomy according to the first element and the second element being associated, the first element being the subtype of the second element, or the second element being the subtype of the first element, wherein the first corrected, weakened Jaccard factor corresponds to a Jaccard factor having a numerator and a denominator, wherein the Jaccard factor is corrected in the numerator with a first correction factor and weakened in the denominator with a first weakening factor, wherein the second corrected, weakened Jaccard factor corresponds to a ratio between a first corrected intersection size and a first corrected instance set size, wherein the first corrected intersection size is a size of an intersection of the first set of instances and the second set of instances corrected with a second correction factor, and wherein the first corrected instance set size is a size of the first set of instances deducted by a number of instances only found by the first text processing service multiplied with a second weakening factor, and wherein the third corrected, weakened Jaccard factor corresponds to a ratio between a second corrected intersection size and a second corrected instance set size, wherein the second corrected intersection size is a size of an intersection of the first set of instances and the second set of instances corrected with a third correction factor, and wherein the second corrected instance set size is a size of the second set of instances deducted by a number of instances only found by the second text processing service multiplied with a third weakening factor. | 1. A computer-implemented method of merging text analysis results, comprising: processing, by a computer system, a plurality of text information according to a first text processing service to generate a first plurality of instances annotated according to a first taxonomy having a first set of elements; processing, by the computer system, the plurality of text information according to a second text processing service to generate a second plurality of instances annotated according to a second taxonomy having a second set of elements; calculating, by the computer system, a first coefficient between a first set of instances and a second set of instances according to a first corrected, weakened Jaccard factor, wherein the first set of instances corresponds to a first element of the first set of elements and wherein the second set of instances corresponds to a second element of the second set of elements; calculating, by the computer system, a second coefficient between the first set of instances and the second set of instances according to a second corrected, weakened Jaccard factor; calculating, by the computer system, a third coefficient between the first set of instances and the second set of instances according to a third corrected, weakened Jaccard factor; determining, by the computer system, that the first element is a subtype of the second element, that the second element is a subtype of the first element, or that the first element is associated with the second element, according to the first coefficient, the second coefficient and the third coefficient; and merging, by the computer system, the first taxonomy and the second taxonomy according to the first element and the second element being associated, the first element being the subtype of the second element, or the second element being the subtype of the first element, wherein the first corrected, weakened Jaccard factor corresponds to a Jaccard factor having a numerator and a denominator, wherein the Jaccard factor is corrected in the numerator with a first correction factor and weakened in the denominator with a first weakening factor, wherein the second corrected, weakened Jaccard factor corresponds to a ratio between a first corrected intersection size and a first corrected instance set size, wherein the first corrected intersection size is a size of an intersection of the first set of instances and the second set of instances corrected with a second correction factor, and wherein the first corrected instance set size is a size of the first set of instances deducted by a number of instances only found by the first text processing service multiplied with a second weakening factor, and wherein the third corrected, weakened Jaccard factor corresponds to a ratio between a second corrected intersection size and a second corrected instance set size, wherein the second corrected intersection size is a size of an intersection of the first set of instances and the second set of instances corrected with a third correction factor, and wherein the second corrected instance set size is a size of the second set of instances deducted by a number of instances only found by the second text processing service multiplied with a third weakening factor. 2. The computer-implemented method of claim 1 , further comprising: determining, by the computer system, that the first element is equal to the second element either when the first coefficient, the second coefficient and the third coefficient are each greater than 0.8 or as determined according to a transformation operation performed on the first coefficient, the second coefficient and the third coefficient, wherein merging the first taxonomy and the second taxonomy comprises merging the first taxonomy and the second taxonomy according to the first element and the second element being equal, associated, the first element being the subtype of the second element, or the second element being the subtype of the first element. | 0.705953 |
8,826,282 | 15 | 16 | 15. The non-transitory computer-readable medium of claim 14 , further comprising additional instructions which, when processed by one or more processors, causes: the client receiving second schedule-related information from a user via the editor; the client executing at least a portion of the client-executable code to maintain the second schedule-related information in the particular editor; the client passing the second schedule-related information from the particular editor to the server; and the server storing the second schedule-related information in the database. | 15. The non-transitory computer-readable medium of claim 14 , further comprising additional instructions which, when processed by one or more processors, causes: the client receiving second schedule-related information from a user via the editor; the client executing at least a portion of the client-executable code to maintain the second schedule-related information in the particular editor; the client passing the second schedule-related information from the particular editor to the server; and the server storing the second schedule-related information in the database. 16. The non-transitory computer-readable medium of claim 15 , further comprising additional instructions which, when processed by one or more processors, causes: in response to the client requesting a web page associated with the particular editor, the server accessing at least the second schedule-related information from the database; and the server generating second client-executable code for execution by the client for displaying the web page associated with the particular editor and displaying the second schedule-related information in the web page associated with the particular editor; the server passing the second client-executable code and the second schedule-related information to the client; the client executing the second client-executable code to display the web page associated with the particular editor and displaying the second schedule-related information in the web page associated with the particular editor. | 0.81167 |
8,478,794 | 1 | 16 | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learned user preferences, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items; receiving selection actions of content items of the subset from the user; analyzing the descriptive terms associated with the selected content items to learn the preferred descriptive terms of the user; expressing the learned preferred descriptive terms as a segmented measurement collection having at least one coarse grain segment, wherein the coarse grain segment has relatively coarse grain differentiation of measurements associated with preferred descriptive terms within the segment, wherein the coarse grain segment includes at least two measurement groups, each measurement group having a preselected range of measurement values that determine which measurements are in the measurement group so that any measurements in a particular measurement group are not differentiated from other measurements in the same group, and wherein the measurements in different measurement groups are differentiated from each other; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented measurement collection; wherein at least one of the incremental input and the subsequent incremental input are entered by the user on an input constrained device. | 1. A user-interface method of selecting and presenting a collection of content items in which the presentation is ordered at least in part based on learned user preferences, the method comprising: providing access to a set of content items, each content item having at least one associated descriptive term to describe the content item; receiving incremental input entered by the user for incrementally identifying desired content items; in response to the incremental input entered by the user, presenting a subset of content items; receiving selection actions of content items of the subset from the user; analyzing the descriptive terms associated with the selected content items to learn the preferred descriptive terms of the user; expressing the learned preferred descriptive terms as a segmented measurement collection having at least one coarse grain segment, wherein the coarse grain segment has relatively coarse grain differentiation of measurements associated with preferred descriptive terms within the segment, wherein the coarse grain segment includes at least two measurement groups, each measurement group having a preselected range of measurement values that determine which measurements are in the measurement group so that any measurements in a particular measurement group are not differentiated from other measurements in the same group, and wherein the measurements in different measurement groups are differentiated from each other; and in response to receiving subsequent incremental input entered by the user, selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented measurement collection; wherein at least one of the incremental input and the subsequent incremental input are entered by the user on an input constrained device. 16. The method of claim 1 , wherein at least one of the incremental input and the subsequent incremental input are entered by the user on at least one of a telephone, a PDA, a computer, and a remote control. | 0.893079 |
8,560,948 | 6 | 7 | 6. The method of claim 1 , wherein in step (b), the user support request includes a user-inputted question and one or more levels of support categories selected by the user; wherein the method further comprises: (j) storing statistical information associating the question selected by the support staff in step (d) with the one or more levels of support categories selected by the user in the user support request in step (b); and (k) associating a question in the database with one or more levels of support categories based on the stored statistical information. | 6. The method of claim 1 , wherein in step (b), the user support request includes a user-inputted question and one or more levels of support categories selected by the user; wherein the method further comprises: (j) storing statistical information associating the question selected by the support staff in step (d) with the one or more levels of support categories selected by the user in the user support request in step (b); and (k) associating a question in the database with one or more levels of support categories based on the stored statistical information. 7. The method of claim 6 , wherein the ticket handling screen further displays a second input means for entering a second database maintenance request; wherein step (k) includes: (k1) in response to receiving the second database maintenance request, displaying one or more lists of one or more levels support categories, and displaying a list of questions; (k2) receiving, from the support staff, a selection of one or more levels of support categories displayed in step (kl) and a selection of a question displayed in step (k2); and (k3) associating the selected question with the selected one or more levels of support categories. | 0.743715 |
10,089,390 | 2 | 3 | 2. The method according to claim 1 , wherein: the documents correspond to a plurality of document types; and said extracting of concepts from the classified documents further comprises identifying concepts and links for each document type. | 2. The method according to claim 1 , wherein: the documents correspond to a plurality of document types; and said extracting of concepts from the classified documents further comprises identifying concepts and links for each document type. 3. The method according to claim 2 , wherein the document types correspond to at least one of: differing domains; and differing classification models. | 0.976823 |
9,411,859 | 19 | 20 | 19. The non-transient computer-readable medium of claim 18 , wherein the method further comprises: at least partially forming one or more search tables corresponding to the one or more search values; and at least partially forming one or more base tables corresponding to the one or more fields of the plurality of records of the linked hierarchical database; and wherein the merging, based at least in part on determining the aggregate weights, comprises combining at least a portion of the one or more search tables and the one or more base tables to form the merged table, and wherein at least partially forming the one or more base tables comprises at least partially forming tables having multiple fields and wherein the base tables comprise record identifiers for each entity in the hierarchy and wherein the method further comprises: sorting each entity in the hierarchy by an associated hierarchy level, wherein the sorting each entity in the hierarchy by the associated hierarchy level comprises progressively sorting each entity in the hierarchy by each hierarchy level from a highest level to a lowest level in the hierarchy. | 19. The non-transient computer-readable medium of claim 18 , wherein the method further comprises: at least partially forming one or more search tables corresponding to the one or more search values; and at least partially forming one or more base tables corresponding to the one or more fields of the plurality of records of the linked hierarchical database; and wherein the merging, based at least in part on determining the aggregate weights, comprises combining at least a portion of the one or more search tables and the one or more base tables to form the merged table, and wherein at least partially forming the one or more base tables comprises at least partially forming tables having multiple fields and wherein the base tables comprise record identifiers for each entity in the hierarchy and wherein the method further comprises: sorting each entity in the hierarchy by an associated hierarchy level, wherein the sorting each entity in the hierarchy by the associated hierarchy level comprises progressively sorting each entity in the hierarchy by each hierarchy level from a highest level to a lowest level in the hierarchy. 20. The non-transient computer-readable medium of claim 19 , wherein the method further comprises: determining, from the merged table, and based at least in part from the aggregate weights, a first leading scorer of the matched fields and a second leading scorer of the matched fields, the first leading scorer associated with a record having a highest aggregate weight and the second leading scorer associated with a record having a second highest aggregate weight; determining a first condition comprising whether a first weight associated with the first leading scorer meets or exceeds a first predetermined value; determining a second condition comprising whether a difference between the first weight and a second weight associated with the second leading scorer meets or exceeds a second predetermined value; merging aggregate weights of one or more entities associated with intermediate hierarchy levels in the grouping in response to determining that the first condition or the second condition is not met; re-determining the first condition and the second condition; and outputting a record identifier corresponding to an entity associated with a lowest hierarchy level of the grouping in response to re-determining the first condition and the second condition; wherein the matching entity corresponds to the first leading scorer and is based at least in part on the determining of the first condition and on the determining of the second condition, and wherein the matching entity further corresponds to an entity associated with a lowest hierarchy level associated with the grouping. | 0.556236 |
9,749,267 | 14 | 17 | 14. A computer-implemented method of intelligent predictive messaging, the method comprising: initiating a messaging session between a first user of first user device and a second user of a second user device, wherein the first user and the second user are participants in a conversation taking place as part of the messaging session; receiving, at a message prediction engine from the first user device or the second user device, message context data associated with the messaging session that indicates a characteristic of the conversation; determining, at the message prediction engine based on the characteristic of the conversation that is indicative of context of the conversation, a predicted conversation pattern of the conversation; determining, based on the predicted conversation pattern, recommended text that indicates suggested language to be included in a message as part of the conversation to complete at least part of the message, wherein the suggested language corresponds to the characteristic of the conversation indicative of the context of the conversation, wherein the recommended text comprises: options for suggested language that are predicted to compete at least part of the message, wherein the suggested language to be included in the message comprises: a plurality of suggested entries for the messaging session, wherein each of the suggested entries comprises: a different recommended lines of text, wherein each of the different recommended lines of text indicates different suggested language for the message corresponding to the message context data; and providing, to the first user device or to the second user device, suggested message content that comprises the recommended text, and displaying the suggested message content within a message field at the first user device or the second user device. | 14. A computer-implemented method of intelligent predictive messaging, the method comprising: initiating a messaging session between a first user of first user device and a second user of a second user device, wherein the first user and the second user are participants in a conversation taking place as part of the messaging session; receiving, at a message prediction engine from the first user device or the second user device, message context data associated with the messaging session that indicates a characteristic of the conversation; determining, at the message prediction engine based on the characteristic of the conversation that is indicative of context of the conversation, a predicted conversation pattern of the conversation; determining, based on the predicted conversation pattern, recommended text that indicates suggested language to be included in a message as part of the conversation to complete at least part of the message, wherein the suggested language corresponds to the characteristic of the conversation indicative of the context of the conversation, wherein the recommended text comprises: options for suggested language that are predicted to compete at least part of the message, wherein the suggested language to be included in the message comprises: a plurality of suggested entries for the messaging session, wherein each of the suggested entries comprises: a different recommended lines of text, wherein each of the different recommended lines of text indicates different suggested language for the message corresponding to the message context data; and providing, to the first user device or to the second user device, suggested message content that comprises the recommended text, and displaying the suggested message content within a message field at the first user device or the second user device. 17. The system of claim 14 , further comprising: a computing system that is communicatively coupled to the first user device and the second user device via a network, wherein the message prediction engine is implemented at the computing system. | 0.849197 |
9,037,450 | 17 | 19 | 17. A method, comprising acts of: recognizing text in an image using a camera operating in video mode and optical character recognition, the text of a first language written in a first direction; creating a first bounding box that circumscribes the text of the first language and a second bounding box that circumscribes text of a second language; obtaining orientation information associated with the text in the image; translating the text of the first language into the text of the second language; aligning and overlapping the second bounding box to the first bounding box as part of overlaying the text of the second language on the text of the first language; overlaying the text of the second language on the text of the first language, the text of the second language presented according to a direction in which the second language is written; performing the acts of recognizing, translating, aligning, and visually overlaying, in realtime during the video mode of the camera; and configuring a processor to execute instructions related to at least one of the acts of recognizing, creating, obtaining, translating, aligning, overlaying, or performing. | 17. A method, comprising acts of: recognizing text in an image using a camera operating in video mode and optical character recognition, the text of a first language written in a first direction; creating a first bounding box that circumscribes the text of the first language and a second bounding box that circumscribes text of a second language; obtaining orientation information associated with the text in the image; translating the text of the first language into the text of the second language; aligning and overlapping the second bounding box to the first bounding box as part of overlaying the text of the second language on the text of the first language; overlaying the text of the second language on the text of the first language, the text of the second language presented according to a direction in which the second language is written; performing the acts of recognizing, translating, aligning, and visually overlaying, in realtime during the video mode of the camera; and configuring a processor to execute instructions related to at least one of the acts of recognizing, creating, obtaining, translating, aligning, overlaying, or performing. 19. The method of claim 17 , further comprising overlaying the text of the second language on the text of the first language in a direction opposite from which the first language is written or in a same direction as the first language is written. | 0.557554 |
7,528,990 | 20 | 21 | 20. The image-forming system according to claim 19 , wherein, if said means for receiving receives at least a setting item by the operator and if said means for displaying displays an updated input setting screen which is updated according to said setting item by the operator, said means for displaying displays a portion with emphasis, said portion in said updated input setting screen being different from a portion corresponding to said portion in an input setting screen prior to updating. | 20. The image-forming system according to claim 19 , wherein, if said means for receiving receives at least a setting item by the operator and if said means for displaying displays an updated input setting screen which is updated according to said setting item by the operator, said means for displaying displays a portion with emphasis, said portion in said updated input setting screen being different from a portion corresponding to said portion in an input setting screen prior to updating. 21. The image-forming system according to claim 20 , wherein: said first means for generating generates expected image finish information containing a pictorial image, and said means for displaying displays an expected image finish containing said pictorial image. | 0.939114 |
7,849,026 | 13 | 16 | 13. A method for creating a digital life form, comprising: defining a digital life form; providing access for the digital life form to an environment; defining a plurality of potential actions for the digital life form; providing at least one object in the environment; providing the object with at least one characteristic; providing the digital life form with the ability to form percepts based on the characteristics of objects; providing the digital life form with the ability to select from said plurality of potential actions based, at least in part, on the percepts; and providing consequences to the digital life form for such actions; wherein the digital life form selects from said plurality of potential actions in order to avoid certain of the consequences. | 13. A method for creating a digital life form, comprising: defining a digital life form; providing access for the digital life form to an environment; defining a plurality of potential actions for the digital life form; providing at least one object in the environment; providing the object with at least one characteristic; providing the digital life form with the ability to form percepts based on the characteristics of objects; providing the digital life form with the ability to select from said plurality of potential actions based, at least in part, on the percepts; and providing consequences to the digital life form for such actions; wherein the digital life form selects from said plurality of potential actions in order to avoid certain of the consequences. 16. The method of claim 13 , wherein: at least one of said actions includes EAT. | 0.805825 |
7,581,180 | 21 | 24 | 21. The computer-implemented method for a portable terminal according to claim 15 , further comprising retrieving from the first dictionary or the second dictionary words including a plurality of the characters. | 21. The computer-implemented method for a portable terminal according to claim 15 , further comprising retrieving from the first dictionary or the second dictionary words including a plurality of the characters. 24. The computer-implemented method for a portable terminal according to claim 21 , further comprising retrieving the words each including a plurality of the characters as constituent elements sequentially beginning from a word most recently selected word. | 0.901311 |
10,007,421 | 10 | 11 | 10. An information handing device, comprising: a touch surface; a display screen operatively coupled to the touch surface; a processor operatively coupled to the touch surface and display screen; memory device that stores instructions executable by the processor to; detect, at the touch surface, at least two points of contact of a hand of a user; identify, based on a configuration of the at least two points of contact, a contact signature, wherein the contact signature identities an input provided by the user as handwriting input and is used to identify the user providing the input, wherein to identify comprises identifying a contact position and size associated with each of the at least two points of contact and identifying a distance between each of the at least two points of contact; and display, on the display screen, the handwriting input, wherein the handwriting input is identified as being input at a location relative to the at least two points of contact of the hand of the user. | 10. An information handing device, comprising: a touch surface; a display screen operatively coupled to the touch surface; a processor operatively coupled to the touch surface and display screen; memory device that stores instructions executable by the processor to; detect, at the touch surface, at least two points of contact of a hand of a user; identify, based on a configuration of the at least two points of contact, a contact signature, wherein the contact signature identities an input provided by the user as handwriting input and is used to identify the user providing the input, wherein to identify comprises identifying a contact position and size associated with each of the at least two points of contact and identifying a distance between each of the at least two points of contact; and display, on the display screen, the handwriting input, wherein the handwriting input is identified as being input at a location relative to the at least two points of contact of the hand of the user. 11. The information handling device of claim 10 , wherein to identify comprises identifying the positions of the at least two points of contact relative to each other. | 0.790727 |
9,092,636 | 39 | 46 | 39. A system for preventing unauthorized disclosure of secure information, the system comprising: a processor; a network interface through which to communicate with one or more remote servers over a network; a memory storing code which, when executed by the processor, causes the processor to perform a plurality of operations, including: receiving, by a protect agent installed at a first egress point, digital information including a first text, the first text including a plurality of words; identifying, by the protect agent, a plurality of candidate entities, each of the plurality of candidate entities corresponding to a particular word of the plurality of words; identifying, by the protect agent, one or more matching candidate entities from the plurality of candidate entities that match against one of a plurality of lightweight entities stored in a lightweight entity database (LWED); upon determining one or more matching candidate entities, transmitting, by the protect agent, the one or more matching candidate entities to a remote server that can access a global entity database (GED), the GED including a plurality of registered entities identified to be secured against unauthorized disclosure, wherein the remote server performs a comparison of the one or more matching candidates entities with the plurality of registered entities in the GED to reduce a possibility that the identified one or more matching candidate entities are false positives, and wherein the remote server automatically generates acknowledgement whether each of the one or more matching candidate entities matches against one of the plurality of registered entities included in the GED; receiving, from the remote server, the acknowledgement; and performing, by the protect agent, a security action, when at least one of the one or more matching entities matches against one or the plurality of registered entities included in the GED, wherein the security action is performed on the first text before the first text is disclosed through the first egress point. | 39. A system for preventing unauthorized disclosure of secure information, the system comprising: a processor; a network interface through which to communicate with one or more remote servers over a network; a memory storing code which, when executed by the processor, causes the processor to perform a plurality of operations, including: receiving, by a protect agent installed at a first egress point, digital information including a first text, the first text including a plurality of words; identifying, by the protect agent, a plurality of candidate entities, each of the plurality of candidate entities corresponding to a particular word of the plurality of words; identifying, by the protect agent, one or more matching candidate entities from the plurality of candidate entities that match against one of a plurality of lightweight entities stored in a lightweight entity database (LWED); upon determining one or more matching candidate entities, transmitting, by the protect agent, the one or more matching candidate entities to a remote server that can access a global entity database (GED), the GED including a plurality of registered entities identified to be secured against unauthorized disclosure, wherein the remote server performs a comparison of the one or more matching candidates entities with the plurality of registered entities in the GED to reduce a possibility that the identified one or more matching candidate entities are false positives, and wherein the remote server automatically generates acknowledgement whether each of the one or more matching candidate entities matches against one of the plurality of registered entities included in the GED; receiving, from the remote server, the acknowledgement; and performing, by the protect agent, a security action, when at least one of the one or more matching entities matches against one or the plurality of registered entities included in the GED, wherein the security action is performed on the first text before the first text is disclosed through the first egress point. 46. The system of claim 39 , wherein the security action includes one or more of: preventing the first text from being disclosed through the first egress point; logging transmission of the first text as a security violation; requiring a password from a user to allow the first text to be disclosed; blocking access by a user who transmitted the first text to the first text; sending out a security alert; or integration of the first text with rights management information. | 0.501055 |
8,842,821 | 2 | 5 | 2. The method of claim 1 , wherein the contact handling system further includes: an agent workstation, which allows the agent to interact with customers, media, and the contact handling system; a media server, which handles connection paths for media; and an automatic contact distributor, which tracks the state of contacts and agents, the automatic contact distributor supplying available agents with waiting media. | 2. The method of claim 1 , wherein the contact handling system further includes: an agent workstation, which allows the agent to interact with customers, media, and the contact handling system; a media server, which handles connection paths for media; and an automatic contact distributor, which tracks the state of contacts and agents, the automatic contact distributor supplying available agents with waiting media. 5. The method of claim 2 , wherein the machine translation occurs at least partially at the media server. | 0.96295 |
7,818,378 | 15 | 23 | 15. A computer-implemented method of processing messages, comprising: at a server computer system having one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a plurality of messages directed to a user, each message having a unique message identifier; associating each of the plurality of messages with a respective conversation, each conversation having a respective conversation identifier; wherein each conversation comprises a set of one or more messages sharing a common set of characteristics that meet first predefined criteria and the respective conversation identifier is distinct from a subject reference of the one or more messages in the respective conversation; associating with each conversation a set of senders of messages included in the conversation; and providing presentation information for displaying a list of conversations in an order determined in accordance with second predefined criteria, each conversation being represented as a single item in the list, wherein a plurality of conversations in the list of conversations each include a plurality of messages that share a common set of characteristics that meet the first predefined criteria; wherein providing presentation information includes providing information to display the list of conversations as a set of rows, each row corresponding to one of the listed conversations and including at least a sender list, a conversation topic and a date/time value, wherein the sender list of a row in the list of conversations includes identifiers of one or more senders of at least one message in the corresponding conversation, including identifiers of a plurality of the senders in the set of senders, but less than all of the senders in the set of senders, when the set of senders exceeds a predefined limit. | 15. A computer-implemented method of processing messages, comprising: at a server computer system having one or more processors and memory storing one or more programs, the one or more processors executing the one or more programs to perform the operations of: receiving a plurality of messages directed to a user, each message having a unique message identifier; associating each of the plurality of messages with a respective conversation, each conversation having a respective conversation identifier; wherein each conversation comprises a set of one or more messages sharing a common set of characteristics that meet first predefined criteria and the respective conversation identifier is distinct from a subject reference of the one or more messages in the respective conversation; associating with each conversation a set of senders of messages included in the conversation; and providing presentation information for displaying a list of conversations in an order determined in accordance with second predefined criteria, each conversation being represented as a single item in the list, wherein a plurality of conversations in the list of conversations each include a plurality of messages that share a common set of characteristics that meet the first predefined criteria; wherein providing presentation information includes providing information to display the list of conversations as a set of rows, each row corresponding to one of the listed conversations and including at least a sender list, a conversation topic and a date/time value, wherein the sender list of a row in the list of conversations includes identifiers of one or more senders of at least one message in the corresponding conversation, including identifiers of a plurality of the senders in the set of senders, but less than all of the senders in the set of senders, when the set of senders exceeds a predefined limit. 23. The method of claim 15 , wherein, when the conversation corresponding to the row includes a message sent by a first sender and one or more messages sent by a second sender, the providing includes providing in a first distinct format an identifier of the first sender in the sender list when the message sent by the first sender has not been viewed or marked as read by the user, and providing in second distinct format an identifier of the second sender in the sender list when all the messages sent by the second sender have been viewed or marked as read by the user. | 0.626632 |
8,516,008 | 1 | 2 | 1. A method for searching data using a network device that is operative to perform actions, comprising: storing data into at least one datastore; generating at least one field name that corresponds to at least one field value from the data; determining at least one posting value associated with the at least one field name that corresponds to the at least one field value, wherein the at least one posting value at least identifies a location of a record in the at least one datastore that includes the at least one field name that corresponds to the at least one field value; generating at least one lexicon that includes at least one lexicon record that comprises the at least one field name, the at least one field value, and the at least one posting value which correspond to each other; receiving a query directed to data stored in the at least one datastore; generating at least one result for the query based on at least a portion of the lexicon separate from the at least one datastore; if the at least one query includes at least one aggregation function, performing further actions, including: locating the at least one lexicon record for at least a first lexicon record that includes at least a field name that is associated with the at least one aggregation function; and generating at least one aggregated result by iterating over each lexicon record that includes the at least one field name and incorporating the corresponding at least one field value into the aggregated result; and projecting the at least one result into at least one row in at least one table. | 1. A method for searching data using a network device that is operative to perform actions, comprising: storing data into at least one datastore; generating at least one field name that corresponds to at least one field value from the data; determining at least one posting value associated with the at least one field name that corresponds to the at least one field value, wherein the at least one posting value at least identifies a location of a record in the at least one datastore that includes the at least one field name that corresponds to the at least one field value; generating at least one lexicon that includes at least one lexicon record that comprises the at least one field name, the at least one field value, and the at least one posting value which correspond to each other; receiving a query directed to data stored in the at least one datastore; generating at least one result for the query based on at least a portion of the lexicon separate from the at least one datastore; if the at least one query includes at least one aggregation function, performing further actions, including: locating the at least one lexicon record for at least a first lexicon record that includes at least a field name that is associated with the at least one aggregation function; and generating at least one aggregated result by iterating over each lexicon record that includes the at least one field name and incorporating the corresponding at least one field value into the aggregated result; and projecting the at least one result into at least one row in at least one table. 2. The method of claim 1 , wherein generating at least one result further comprises, if the at least one query includes the at least one aggregation function: and if a where clause exists, employing a list indicated by at least one helper array for generating the at least one aggregated result. | 0.909454 |
9,418,141 | 1 | 4 | 1. A multi-function search box for display on a screen, comprising: a text input control to provide text input functionality, wherein the text input control suggests a complete word based on a partially entered word as a user continues entering characters of the user entered word, and a dropdown display area under and adjacent to the text input control, wherein the dropdown display area is opened upon detected entry in the text input control, the dropdown display area is divided into a first display area and a second display area, wherein, the first display area is oriented under the text input control to display a list of words, every word in the list of words is a suggestion for completing the user entered word; and the second display area coupled to and oriented under the first display area to display a list of contextually related options for a selected word in the list of words, wherein one or more of the contextually related options are generated without applying phrase matching criteria to the selected word, wherein a first displayed character of one or more of the contextually related options is exclusive of a first entered character of the user entered word, wherein the first or second display area is configured to receive a selection that is detected, wherein the detected selection is configured to trigger presentation of a page module including an interactive media space in a word page without generating links to external websites, wherein the page module is contextually related to the detected selection, wherein the multi-function search box is generated by a processor. | 1. A multi-function search box for display on a screen, comprising: a text input control to provide text input functionality, wherein the text input control suggests a complete word based on a partially entered word as a user continues entering characters of the user entered word, and a dropdown display area under and adjacent to the text input control, wherein the dropdown display area is opened upon detected entry in the text input control, the dropdown display area is divided into a first display area and a second display area, wherein, the first display area is oriented under the text input control to display a list of words, every word in the list of words is a suggestion for completing the user entered word; and the second display area coupled to and oriented under the first display area to display a list of contextually related options for a selected word in the list of words, wherein one or more of the contextually related options are generated without applying phrase matching criteria to the selected word, wherein a first displayed character of one or more of the contextually related options is exclusive of a first entered character of the user entered word, wherein the first or second display area is configured to receive a selection that is detected, wherein the detected selection is configured to trigger presentation of a page module including an interactive media space in a word page without generating links to external websites, wherein the page module is contextually related to the detected selection, wherein the multi-function search box is generated by a processor. 4. The multi-function search box as recited in claim 1 , wherein the contextually related options define filters to narrow down a display of content of the word page to content that is contextually related to the user entered word in a selected category. | 0.831341 |
8,923,491 | 24 | 25 | 24. The computer-readable storage device of claim 21 , wherein the address comprises one of a phone number, an email address, a website, an internet protocol address, a file transfer protocol server, an instant messaging address, global positioning system coordinates, and a physical address. | 24. The computer-readable storage device of claim 21 , wherein the address comprises one of a phone number, an email address, a website, an internet protocol address, a file transfer protocol server, an instant messaging address, global positioning system coordinates, and a physical address. 25. The computer-readable storage device of claim 24 , wherein the phone number is one of a voicemail number, a fax number, a pager number, a local phone number, a long distance phone number, an international phone number, a toll-free number, and a premium number without area code. | 0.893424 |
8,380,700 | 12 | 13 | 12. The apparatus of claim 9 , wherein the data structure in the response identifies at least one entity and includes accessor lambda functions for accessing the at least one entity via respective access protocols. | 12. The apparatus of claim 9 , wherein the data structure in the response identifies at least one entity and includes accessor lambda functions for accessing the at least one entity via respective access protocols. 13. The apparatus of claim 12 , wherein: the data structure identifies a plurality of the entities responsive to a query in the request; the interface circuit configured for receiving a second request from the user interface for executing one of the accessor lambda functions associated with the entities responsive to the query; the execution circuit configured for optimizing the second request based on initiating a shared communication session between the entities responsive to the query and the user interface, according to a prescribed device access protocol associated with the one accessor lambda function. | 0.88164 |
9,817,677 | 1 | 3 | 1. A computer implemented method for rule based data driven validation comprising: receiving over a communication network a target data object in a validation request from an executing software application; identifying one or more target data member items of the target data object based on stored data type definitions; identifying a data type and any inherited data type for the one or more target data member items; identifying one or more rules applicable to each target data item based on a target data identifier associated with each applicable rule having a same data type or an inherited data type of the target data item by a rule engine identifying one or more rule instance data items based on the one or more target data items, at least one rule instance data item comprises a condition which is implemented as another rule instance data item accessible by the rule engine like any other rule instance data items, and the rule engine identifying one or more rules linked to the identified one or more rule instance data items as the one or more applicable rules; in response to determining, via rule execution criteria, the condition of the at least one rule instance data item has been satisfied, as determined by a result of separately executing the another rule instance data item using rule logic decoupled from the software application to determine whether the at least one rule instance data item is to be executed, executing the identified one or more applicable rules after determining that the condition has been satisfied; returning a validation result data object to the software application, wherein the target data object identifies each target data member item by a class identifier and a property identifier; and identifying a data type and any inherited data type for the one or more target data item members comprises determining data types and class membership based on identifying matches with the class identifier and the property identifier for each target data member item and the data type and any inherited data type. | 1. A computer implemented method for rule based data driven validation comprising: receiving over a communication network a target data object in a validation request from an executing software application; identifying one or more target data member items of the target data object based on stored data type definitions; identifying a data type and any inherited data type for the one or more target data member items; identifying one or more rules applicable to each target data item based on a target data identifier associated with each applicable rule having a same data type or an inherited data type of the target data item by a rule engine identifying one or more rule instance data items based on the one or more target data items, at least one rule instance data item comprises a condition which is implemented as another rule instance data item accessible by the rule engine like any other rule instance data items, and the rule engine identifying one or more rules linked to the identified one or more rule instance data items as the one or more applicable rules; in response to determining, via rule execution criteria, the condition of the at least one rule instance data item has been satisfied, as determined by a result of separately executing the another rule instance data item using rule logic decoupled from the software application to determine whether the at least one rule instance data item is to be executed, executing the identified one or more applicable rules after determining that the condition has been satisfied; returning a validation result data object to the software application, wherein the target data object identifies each target data member item by a class identifier and a property identifier; and identifying a data type and any inherited data type for the one or more target data item members comprises determining data types and class membership based on identifying matches with the class identifier and the property identifier for each target data member item and the data type and any inherited data type. 3. The computer implemented method of claim 1 wherein the target data identifier associated with each applicable rule is the target data identifier in a rule instance data item which links to the respective applicable rule by at least the target data identifier. | 0.851642 |
8,631,317 | 1 | 5 | 1. A method of manipulating display of document pages on a touchscreen computing device, the method comprising: recognizing, by the touchscreen computing device, finger motion selection gestures on a touchscreen of the touchscreen computing device; selecting, by the touchscreen computing device for each recognized finger motion selection gesture, a document page displayed on the touchscreen; recognizing, by the touchscreen computing device, a finger motion combination gesture on the touchscreen, wherein recognizing the finger motion combination gesture includes detecting simultaneous lifting of a plurality of fingers from the touchscreen; combining, by the touchscreen computing device responsive to the finger motion combination gesture, the selected document pages into a single concatenated document page; and displaying, by the touchscreen computing device, the single concatenated document page; recognizing, by the touchscreen computing device, a finger motion lock gesture on the touchscreen; locking, by the touchscreen computing device responsive to the finger motion lock gesture, position of the selected document pages within the single concatenated document page; recognizing, by the touchscreen computing device, a finger motion movement gesture on the touchscreen; and in response to recognition of the finger motion movement gesture when the position of the selected document pages are locked, moving, by the touchscreen computing device, the single concatenated document page. | 1. A method of manipulating display of document pages on a touchscreen computing device, the method comprising: recognizing, by the touchscreen computing device, finger motion selection gestures on a touchscreen of the touchscreen computing device; selecting, by the touchscreen computing device for each recognized finger motion selection gesture, a document page displayed on the touchscreen; recognizing, by the touchscreen computing device, a finger motion combination gesture on the touchscreen, wherein recognizing the finger motion combination gesture includes detecting simultaneous lifting of a plurality of fingers from the touchscreen; combining, by the touchscreen computing device responsive to the finger motion combination gesture, the selected document pages into a single concatenated document page; and displaying, by the touchscreen computing device, the single concatenated document page; recognizing, by the touchscreen computing device, a finger motion lock gesture on the touchscreen; locking, by the touchscreen computing device responsive to the finger motion lock gesture, position of the selected document pages within the single concatenated document page; recognizing, by the touchscreen computing device, a finger motion movement gesture on the touchscreen; and in response to recognition of the finger motion movement gesture when the position of the selected document pages are locked, moving, by the touchscreen computing device, the single concatenated document page. 5. The method of claim 1 further comprising: recognizing, by the touchscreen computing device, a finger motion unlock gesture on the touchscreen; and unlocking, by the touchscreen computing device responsive to the finger motion unlock gesture, position of the selected document pages within the single concatenated document page. | 0.754464 |
6,061,654 | 1 | 6 | 1. A method of recognizing an identifier entered by a user, the identifier including a first plurality of predetermined characters, wherein the characters are selected from a first set of characters, the first set of characters having a first total number of characters, the method comprising the steps of: a) providing a recognized identifier based on the entered identifier, the recognized identifier comprising a second plurality of predetermined characters; b) providing a plurality of reference identifiers, each one of the plurality of reference identifiers comprising a different plurality of predetermined characters, each one of the different plurality of predetermined characters belonging to the first set of characters; c) providing a first arrangement of character recognition probabilities, the first arrangement of character recognition probabilities encompassing a second set of characters having a second total number of characters and is a superset of the characters of the first set of characters; d) producing a constrained arrangement of character recognition probabilities by constraining the first arrangement of character recognition probabilities to encompass a third set of characters constituting a subset of the second set of characters; e) obtaining, for each character position in at least one of the reference identifiers and each character position in the recognized identifier, from the constrained arrangement of character recognition probabilities, a probability that a character in the at least one reference identifier is recognized as a character found in the corresponding character position in the recognized identifier; f) determining an identifier recognition probability based on the obtained probabilities; g) repeating steps e) and f) for every reference identifier in the plurality of reference identifiers, each one of the plurality of reference identifiers being associated with a corresponding identifier recognition probability; and h) selecting the reference identifier most likely matching the entered identifier based on the plurality of obtained recognition probabilities. | 1. A method of recognizing an identifier entered by a user, the identifier including a first plurality of predetermined characters, wherein the characters are selected from a first set of characters, the first set of characters having a first total number of characters, the method comprising the steps of: a) providing a recognized identifier based on the entered identifier, the recognized identifier comprising a second plurality of predetermined characters; b) providing a plurality of reference identifiers, each one of the plurality of reference identifiers comprising a different plurality of predetermined characters, each one of the different plurality of predetermined characters belonging to the first set of characters; c) providing a first arrangement of character recognition probabilities, the first arrangement of character recognition probabilities encompassing a second set of characters having a second total number of characters and is a superset of the characters of the first set of characters; d) producing a constrained arrangement of character recognition probabilities by constraining the first arrangement of character recognition probabilities to encompass a third set of characters constituting a subset of the second set of characters; e) obtaining, for each character position in at least one of the reference identifiers and each character position in the recognized identifier, from the constrained arrangement of character recognition probabilities, a probability that a character in the at least one reference identifier is recognized as a character found in the corresponding character position in the recognized identifier; f) determining an identifier recognition probability based on the obtained probabilities; g) repeating steps e) and f) for every reference identifier in the plurality of reference identifiers, each one of the plurality of reference identifiers being associated with a corresponding identifier recognition probability; and h) selecting the reference identifier most likely matching the entered identifier based on the plurality of obtained recognition probabilities. 6. The method according to claim 1, wherein the first arrangement of character recognition probabilities and the constrained arrangement of character recognition probabilities are each obtained from an external storage medium. | 0.898836 |
7,636,914 | 1 | 6 | 1. In a program development environment, a computer implemented method comprising: providing, via a programming language, a language processor with built-in support for a parse tree data structure written in a base language, said parse tree data structure represented as a class, said class being a basis for a plurality of parse tree objects, said parse tree objects including methods that retrieve values for base language objects; defining an assignment function, said assignment function taking a plurality of parse tree structures as arguments; defining said assignment function in more than one class, wherein said assignment function is used to identify in-place operations by examining a type of operator at a root of said parse tree structures; overloading said assignment function based on a context of said base language objects; and calling said assignment function from said language processor to determine a value of at least one assignment within at least one of said base language and a base language extension to said base language. | 1. In a program development environment, a computer implemented method comprising: providing, via a programming language, a language processor with built-in support for a parse tree data structure written in a base language, said parse tree data structure represented as a class, said class being a basis for a plurality of parse tree objects, said parse tree objects including methods that retrieve values for base language objects; defining an assignment function, said assignment function taking a plurality of parse tree structures as arguments; defining said assignment function in more than one class, wherein said assignment function is used to identify in-place operations by examining a type of operator at a root of said parse tree structures; overloading said assignment function based on a context of said base language objects; and calling said assignment function from said language processor to determine a value of at least one assignment within at least one of said base language and a base language extension to said base language. 6. The method of claim 1 , further comprising: calling a method in said parse tree objects to retrieve one of an associated left and right tree. | 0.900139 |
9,317,568 | 5 | 8 | 5. The method of claim 1 , wherein the perceived popularity of the first content item and the perceived popularity of the second content item are calculated by: determining popularity search results for the popularity queries for the first and second content items by crawling the Internet for digital instances that include information that satisfies the popularity queries. | 5. The method of claim 1 , wherein the perceived popularity of the first content item and the perceived popularity of the second content item are calculated by: determining popularity search results for the popularity queries for the first and second content items by crawling the Internet for digital instances that include information that satisfies the popularity queries. 8. The method of claim 5 , wherein: the popularity query for the first content item includes the first content item and information included in the first genre-specific catalog that is associated with the first content item; and the popularity query for the second content item includes the second content item and information included in the second genre-specific catalog that is associated with the second content item. query for the second content item. | 0.852903 |
7,873,183 | 13 | 14 | 13. The watermark embedding apparatus according to claim 10 , wherein said layout information obtaining unit further comprises a unit for dividing said document into a plurality of segments. | 13. The watermark embedding apparatus according to claim 10 , wherein said layout information obtaining unit further comprises a unit for dividing said document into a plurality of segments. 14. The watermark embedding apparatus according to claim 13 , wherein said information hiding unit dispersedly hides each secret message of said secret message sequence by altering inter-word spaces in the corresponding segment indicated by each of the calculated embedded positions. | 0.868981 |
10,157,222 | 1 | 2 | 1. A machine implemented method for content preparation or selection, comprising: receiving, as part of a content preparation or selection, by a content preparation or selection module operated by a computing system, a representation of a concept; and determining, for the content preparation or selection, by the content preparation or selection module, topical relevance of a content item (N) of a content hierarchy (C) to the concept; wherein the content hierarchy includes a plurality of content items, including N; and wherein determining topical relevance of N to the concept is based at least in part on interrelationships among at least some of other content items of the hierarchy other than N and its descendant content items, including interrelationships between N, an ancestor content item of N, and a sibling content item of the ancestor item of N. | 1. A machine implemented method for content preparation or selection, comprising: receiving, as part of a content preparation or selection, by a content preparation or selection module operated by a computing system, a representation of a concept; and determining, for the content preparation or selection, by the content preparation or selection module, topical relevance of a content item (N) of a content hierarchy (C) to the concept; wherein the content hierarchy includes a plurality of content items, including N; and wherein determining topical relevance of N to the concept is based at least in part on interrelationships among at least some of other content items of the hierarchy other than N and its descendant content items, including interrelationships between N, an ancestor content item of N, and a sibling content item of the ancestor item of N. 2. The method of claim 1 , wherein the hierarchy of content items corresponds to a document, to a sub-document, to a collection of documents, to a collection of sub-documents, to a database of records, to a database of objects, to a collection of database records, or to a collection of database objects; and wherein database records or objects are drawn from one or more databases or one or more database views. | 0.874237 |
9,710,825 | 7 | 8 | 7. The method of claim 6 , further comprising traversing multiple connections in the semantic space between the first element and each other element of the plurality of other elements, wherein the semantic distance between the first element and each other element is based on respective strengths of connections traversed between the first element and the other element. | 7. The method of claim 6 , further comprising traversing multiple connections in the semantic space between the first element and each other element of the plurality of other elements, wherein the semantic distance between the first element and each other element is based on respective strengths of connections traversed between the first element and the other element. 8. The method of claim 7 , wherein each connection in the semantic space has a direction of association, and wherein a first strength associated with traversing a connection in a direction opposite to its direction of association is higher than a second strength associated with traversing the connection in its direction of association. | 0.930544 |
9,172,762 | 11 | 18 | 11. A server comprising: a processor to execute instructions stored in memory, the instructions, when executed by the processor, to cause the server to: monitor for and detect a user-initiated interaction associated with a web document by a user, the web document having a Universal Resource Identifier (URI); identify one or more topics to which the web document relates; in response to identifying a single topic to which the web document relates: identify a single, existing forum of potential interest to the user, the single, existing forum being associated with the identified, single topic; and recommend the single, existing forum of potential interest to the user; and in response to identifying more than one topic to which the web document relates: identify more than one existing forums of potential interest to the user who initiated the interaction with the web document, each more than one existing forum being associated with at least one topic selected from the identified more than one topic; identify a plurality of persons to whom the user has a relationship with, as defined by the social network service environment; determine which of the existing more than one forums to recommend based on activities of selected ones of the identified plurality of persons; and recommend the determined one or more forums to the user. | 11. A server comprising: a processor to execute instructions stored in memory, the instructions, when executed by the processor, to cause the server to: monitor for and detect a user-initiated interaction associated with a web document by a user, the web document having a Universal Resource Identifier (URI); identify one or more topics to which the web document relates; in response to identifying a single topic to which the web document relates: identify a single, existing forum of potential interest to the user, the single, existing forum being associated with the identified, single topic; and recommend the single, existing forum of potential interest to the user; and in response to identifying more than one topic to which the web document relates: identify more than one existing forums of potential interest to the user who initiated the interaction with the web document, each more than one existing forum being associated with at least one topic selected from the identified more than one topic; identify a plurality of persons to whom the user has a relationship with, as defined by the social network service environment; determine which of the existing more than one forums to recommend based on activities of selected ones of the identified plurality of persons; and recommend the determined one or more forums to the user. 18. The server of claim 11 , wherein the online forum is any one of an online public or private group hosted by the social network service to facilitate online discussions amongst users of the social network service; an online comment thread hosted by the social network service to enable users to provide comments regarding web content; and, an online discussion forum hosted by the social network service and organized around a particular subject matter. | 0.555556 |
5,529,496 | 31 | 33 | 31. A method of teaching a language written in kanji characters, comprising the steps of: presenting a compilation of approximately 180-240 key kanji in a systematic order; providing phonetic readings of the key kanji in Roman characters, hiragana and katakana; reinforcing the phonetic readings of the key kanji with a compilation of common homophones of the key kanji; increasing the recognition of said key kanji by presenting radicals associated with the key kanji and the names of the key kanji; providing the meanings of the key kanji; and presenting a writing in kanji in combination with at least one of the phonetic reading; the English translation; or JIS Code information. | 31. A method of teaching a language written in kanji characters, comprising the steps of: presenting a compilation of approximately 180-240 key kanji in a systematic order; providing phonetic readings of the key kanji in Roman characters, hiragana and katakana; reinforcing the phonetic readings of the key kanji with a compilation of common homophones of the key kanji; increasing the recognition of said key kanji by presenting radicals associated with the key kanji and the names of the key kanji; providing the meanings of the key kanji; and presenting a writing in kanji in combination with at least one of the phonetic reading; the English translation; or JIS Code information. 33. The method of claim 31 which further comprises providing a key kanji and common homophones compilation to increase the number of kanji taught. | 0.685345 |
6,052,686 | 18 | 20 | 18. The method of claim 17, wherein the identifying step comprises: generating the composite automaton; pruning the composite automaton; selecting at least one state of the pruned composite automaton; and identifying at least one node of the edge-labeled tree corresponding to the selected state of the pruned composite automaton as the starting node. | 18. The method of claim 17, wherein the identifying step comprises: generating the composite automaton; pruning the composite automaton; selecting at least one state of the pruned composite automaton; and identifying at least one node of the edge-labeled tree corresponding to the selected state of the pruned composite automaton as the starting node. 20. The method of claim 18, wherein the pruning step comprises: identifying broken paths of the composite automaton; and generating the pruned automaton by removing portions of the composite automaton that corresponds only to the broken paths. | 0.75 |
4,145,742 | 19 | 21 | 19. An electronic calculator comprising: keyboard input means having a plurality of alphabetic and numeric keys for entering alphameric information into the calculator; memory means, coupled to said keyboard input means, for storing alphameric information entered into the calculator; processing means, coupled to said keyboard input means and memory means, for processing alphameric information entered into the calculator to perform selected functions; and output means, coupled to said processing means, for providing a visual indication of the results of selected functions performed by said processing means; said keyboard input means including an execute control key, a store control key, and a second plurality of keys, including a parameter key, operative with selected ones of said plurality of alphabetic and numeric keys for defining a subroutine, for storing the defined subroutine in said memory means, for designating one or more parameters to be specified for the defined subroutine, and for specifying a subroutine calling sequence associated with the defined subroutine; said processing means being responsive to actuation of said execute control key, following entry into the calculator of the specified subroutine calling sequence and specified parameters for the defined subroutine, for processing the specified subroutine calling sequence and its associated defined subroutine having specified parameters, said processing means being further responsive to actuation of said store control key, following entry into the calculator of the specified subroutine calling sequence and specified parameters for the defined subroutine, for storing the specified calling sequence and the specified parameters for the defined subroutine in said memory means. | 19. An electronic calculator comprising: keyboard input means having a plurality of alphabetic and numeric keys for entering alphameric information into the calculator; memory means, coupled to said keyboard input means, for storing alphameric information entered into the calculator; processing means, coupled to said keyboard input means and memory means, for processing alphameric information entered into the calculator to perform selected functions; and output means, coupled to said processing means, for providing a visual indication of the results of selected functions performed by said processing means; said keyboard input means including an execute control key, a store control key, and a second plurality of keys, including a parameter key, operative with selected ones of said plurality of alphabetic and numeric keys for defining a subroutine, for storing the defined subroutine in said memory means, for designating one or more parameters to be specified for the defined subroutine, and for specifying a subroutine calling sequence associated with the defined subroutine; said processing means being responsive to actuation of said execute control key, following entry into the calculator of the specified subroutine calling sequence and specified parameters for the defined subroutine, for processing the specified subroutine calling sequence and its associated defined subroutine having specified parameters, said processing means being further responsive to actuation of said store control key, following entry into the calculator of the specified subroutine calling sequence and specified parameters for the defined subroutine, for storing the specified calling sequence and the specified parameters for the defined subroutine in said memory means. 21. An electronic calculator as in claim 19 wherein the subroutine calling sequence includes a symbolic label previously associated with the defined subroutine. | 0.633028 |
7,831,534 | 8 | 10 | 8. The method of claim 2 , further comprising permanently storing the classification as a template classification such that it can be associated with a particular set of objects. | 8. The method of claim 2 , further comprising permanently storing the classification as a template classification such that it can be associated with a particular set of objects. 10. The method of claim 8 , further comprising adding the template classification or a part thereof to another polyhierarchical classification. | 0.965375 |
9,953,049 | 13 | 15 | 13. The computer-readable storage medium of claim 12 , wherein the respective lengths assigned to a link are determined based on a function of the number of outgoing links from the source page of the link. | 13. The computer-readable storage medium of claim 12 , wherein the respective lengths assigned to a link are determined based on a function of the number of outgoing links from the source page of the link. 15. The computer-readable storage medium of claim 13 , wherein determining the length of a link from a source page q to a target page p includes adding a term (α+log(|q| out )) to the length of the link, wherein a is a non-negative constant value, and wherein |q| out is the number of outgoing links from the source page q. | 0.858829 |
9,235,631 | 1 | 9 | 1. A method for simulating an online session while offline, comprising: establishing, at a server, a connection over a network to a client, the connection allowing the client, when online, to communicate with the server; in response to an initiation of an offline session by the client device, receiving at the server from the client device, via the connection, a message including a request; in response to receiving the message from the client: invoking functional logic residing at the server through a server API solution and an Extensible Markup Language remote procedure call (XML-RPC) to manipulate data in a database of the server; identifying criteria defined by a user of the client for conducting an offline session; selecting from the database a user-specified portion of the data, utilizing the criteria defined by the user of the client; importing to the client from the server both the selected user-specified portion of the data from the database, and a portion of functional logic residing at the server used to manipulate the data in the database of the server; terminating the connection between the client and the server in response to the client being offline; after the terminating of the connection, enabling the user to modify the user-specified portion of the data imported to the client from the server using the portion of the functional logic imported to the client from the server; receiving another connection at the server by the client via a network when the client returns online; and performing by the server a synchronization process with the client via the other connection by uploading the modified data from the client to the database of the server. | 1. A method for simulating an online session while offline, comprising: establishing, at a server, a connection over a network to a client, the connection allowing the client, when online, to communicate with the server; in response to an initiation of an offline session by the client device, receiving at the server from the client device, via the connection, a message including a request; in response to receiving the message from the client: invoking functional logic residing at the server through a server API solution and an Extensible Markup Language remote procedure call (XML-RPC) to manipulate data in a database of the server; identifying criteria defined by a user of the client for conducting an offline session; selecting from the database a user-specified portion of the data, utilizing the criteria defined by the user of the client; importing to the client from the server both the selected user-specified portion of the data from the database, and a portion of functional logic residing at the server used to manipulate the data in the database of the server; terminating the connection between the client and the server in response to the client being offline; after the terminating of the connection, enabling the user to modify the user-specified portion of the data imported to the client from the server using the portion of the functional logic imported to the client from the server; receiving another connection at the server by the client via a network when the client returns online; and performing by the server a synchronization process with the client via the other connection by uploading the modified data from the client to the database of the server. 9. The method of claim 1 , wherein the client includes a local interface that is a web browser, and wherein communication channels between the local interface of the client that is the web browser and the server are governed by the HTTP protocol. | 0.712617 |
8,972,349 | 1 | 7 | 1. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising: authoring a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact produces output when the business intelligence artifact is executed in the business intelligence system, and wherein the business intelligence artifact is selected from the group consisting of: a report specification, an analysis cube, and a metadata model; creating at least one assertion to determine whether the business intelligence artifact is functioning properly; testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact to verify its proper functioning by determining whether the conditions of the at least one assertion are satisfied upon execution of the business intelligence artifact in the business intelligence system; reporting if the conditions of the at least one assertion are not satisfied upon execution of the business intelligence artifact in the business intelligence system; and recording one or more corrections made to the business intelligence artifact as a subsequent version of the business intelligence artifact. | 1. In a general purpose computer, a method for automatically testing a business intelligence artifact in a business intelligence system, comprising: authoring a business intelligence artifact in the business intelligence system, wherein the business intelligence artifact produces output when the business intelligence artifact is executed in the business intelligence system, and wherein the business intelligence artifact is selected from the group consisting of: a report specification, an analysis cube, and a metadata model; creating at least one assertion to determine whether the business intelligence artifact is functioning properly; testing, with an automated agent interfaced with the business intelligence system, the business intelligence artifact to verify its proper functioning by determining whether the conditions of the at least one assertion are satisfied upon execution of the business intelligence artifact in the business intelligence system; reporting if the conditions of the at least one assertion are not satisfied upon execution of the business intelligence artifact in the business intelligence system; and recording one or more corrections made to the business intelligence artifact as a subsequent version of the business intelligence artifact. 7. The method of claim 1 , further comprising automatically recording current and previous versions of the business intelligence artifact as corrections are made to the business intelligence artifact. | 0.786325 |
9,740,750 | 11 | 18 | 11. A system comprising: a processor; and a non-transitory computer-readable medium coupled to the processor and having instructions stored thereon, which, when executed by the processor, cause the processor to perform operations comprising: obtaining search query data, the search query data including a plurality of search queries submitted by users, each search query being associated with one or more responsive search results and user selection data for the one or more search results, wherein the user selection data identifies which search results were selected by users; obtaining a plurality of score improvement lists, each score improvement list being associated with a point value, each score improvement list being an ordered list of adjusters, wherein the adjusters are serially applied in order of the adjusters in the ordered list to initial scores of a group of search results to determine a final scoring of the search results; iteratively selecting pairs of score improvement lists from a pool of score improvement lists, the pool of score improvement lists including the plurality of score improvement lists; automatically for each selected pair: separately applying the ordered list of adjusters for each score improvement list included in the selected pair to one or more search results associated with a search query from the search query data, in response to the applying, identifying, for each score improvement list in the selected pair, respective ordered search results responsive to the search query, determining a winning and losing score improvement list in the selected pair from the search query data for the search query, and adjusting the point value associated with one or more of the winning score improvement list or the losing score improvement list; repeating testing for respective pairs of score improvement lists until ending criteria are reached; and selecting one or more score improvement lists based on the respective point values after the repeated testing. | 11. A system comprising: a processor; and a non-transitory computer-readable medium coupled to the processor and having instructions stored thereon, which, when executed by the processor, cause the processor to perform operations comprising: obtaining search query data, the search query data including a plurality of search queries submitted by users, each search query being associated with one or more responsive search results and user selection data for the one or more search results, wherein the user selection data identifies which search results were selected by users; obtaining a plurality of score improvement lists, each score improvement list being associated with a point value, each score improvement list being an ordered list of adjusters, wherein the adjusters are serially applied in order of the adjusters in the ordered list to initial scores of a group of search results to determine a final scoring of the search results; iteratively selecting pairs of score improvement lists from a pool of score improvement lists, the pool of score improvement lists including the plurality of score improvement lists; automatically for each selected pair: separately applying the ordered list of adjusters for each score improvement list included in the selected pair to one or more search results associated with a search query from the search query data, in response to the applying, identifying, for each score improvement list in the selected pair, respective ordered search results responsive to the search query, determining a winning and losing score improvement list in the selected pair from the search query data for the search query, and adjusting the point value associated with one or more of the winning score improvement list or the losing score improvement list; repeating testing for respective pairs of score improvement lists until ending criteria are reached; and selecting one or more score improvement lists based on the respective point values after the repeated testing. 18. The system of claim 11 , wherein the search query data includes user selection data associated with search results for the search query. | 0.908854 |
8,296,302 | 3 | 10 | 3. The method of claim 2 , wherein the non-textual content comprising at least one of audio data, video data, picture data or hyperlink data. | 3. The method of claim 2 , wherein the non-textual content comprising at least one of audio data, video data, picture data or hyperlink data. 10. The method of claim 3 , wherein the non-textual content is transformed to textual content, further comprising the steps of: converting the audio into a paragraph of text; converting the caption in a video into a paragraph of text; converting the characters in a picture into a paragraph of text; retrieving the hyper-linked file content in a hyper-link as a paragraph of text. | 0.884287 |
9,720,998 | 1 | 6 | 1. A method of determining similarities in still or moving images utilizing a hierarchical structure including a base level and higher levels, the method comprising the steps of: a) performing an initial segmentation of data objects in the base level into a plurality of segments using a master processor, each object being representative of a different image or video, the data objects included in the base level of the hierarchy being original data objects and a data set of the base level; b) performing a discrete distribution (D2) clustering on each of the segments on one or more slave processors to determine a group of clusters within the segment, each of the clusters corresponding to a local centroid; c) combining the local centroids within all of the segments determined in step b) into one global data set of local centroids and performing an initial segmentation of this global data set of local centroids into a plurality of segments using the master processor, the global data set of local centroids representing a higher level of the hierarchy, a size of the data set of the higher level being smaller than a size of data set of the previous level; d) iteratively repeating steps b) and c) at higher levels in the hierarchy until a single segmentation of the data objects is achieved, the number of centroids is reduced to a predefined number, or a predefined threshold based on distances of the data objects to the centroids is satisfied; and e) outputting information regarding the way in which the data objects are clustered in terms of similarity. | 1. A method of determining similarities in still or moving images utilizing a hierarchical structure including a base level and higher levels, the method comprising the steps of: a) performing an initial segmentation of data objects in the base level into a plurality of segments using a master processor, each object being representative of a different image or video, the data objects included in the base level of the hierarchy being original data objects and a data set of the base level; b) performing a discrete distribution (D2) clustering on each of the segments on one or more slave processors to determine a group of clusters within the segment, each of the clusters corresponding to a local centroid; c) combining the local centroids within all of the segments determined in step b) into one global data set of local centroids and performing an initial segmentation of this global data set of local centroids into a plurality of segments using the master processor, the global data set of local centroids representing a higher level of the hierarchy, a size of the data set of the higher level being smaller than a size of data set of the previous level; d) iteratively repeating steps b) and c) at higher levels in the hierarchy until a single segmentation of the data objects is achieved, the number of centroids is reduced to a predefined number, or a predefined threshold based on distances of the data objects to the centroids is satisfied; and e) outputting information regarding the way in which the data objects are clustered in terms of similarity. 6. The method of claim 1 , including the step of imposing one or more constraints on the centroids passed to each level in the hierarchy. | 0.893136 |
8,024,326 | 31 | 32 | 31. The computer program product of claim 30 , wherein determining the first ranking score for the first article comprises: determining a first initial ranking score for the first article as a search result for the search query; and calculating a mathematical function comprising the first initial ranking score and the first selection score. | 31. The computer program product of claim 30 , wherein determining the first ranking score for the first article comprises: determining a first initial ranking score for the first article as a search result for the search query; and calculating a mathematical function comprising the first initial ranking score and the first selection score. 32. The computer program product of claim 31 , wherein calculating the mathematical function comprising the first initial ranking score and the first selection score comprises combining the first initial ranking score and the first selection score, weighted with at least one weighting factor. | 0.879424 |
9,805,371 | 1 | 2 | 1. A computer-implemented method for suggesting a response to a received message, the method comprising: receiving text of a message from a first user; generating a conversation feature vector using a first neural network and the text of the message from the first user; generating a first response feature vector using the conversation feature vector and a second neural network; generating a first plurality of suggested words using the first response feature vector, wherein the first plurality of words comprises a first suggested word; generating a second response feature vector using the first suggested word, the first response feature vector, and the second neural network; generating a second plurality of suggested words using the second response feature vector, wherein the second plurality of suggested words comprises a second suggested word; generating a suggested response to the message from the first user using the first suggested word and the second suggested word; and transmitting the suggested response for presenting to a second user. | 1. A computer-implemented method for suggesting a response to a received message, the method comprising: receiving text of a message from a first user; generating a conversation feature vector using a first neural network and the text of the message from the first user; generating a first response feature vector using the conversation feature vector and a second neural network; generating a first plurality of suggested words using the first response feature vector, wherein the first plurality of words comprises a first suggested word; generating a second response feature vector using the first suggested word, the first response feature vector, and the second neural network; generating a second plurality of suggested words using the second response feature vector, wherein the second plurality of suggested words comprises a second suggested word; generating a suggested response to the message from the first user using the first suggested word and the second suggested word; and transmitting the suggested response for presenting to a second user. 2. The computer-implemented method of claim 1 , wherein generating the conversation feature vector comprises using text of a message from the second user to the first user. | 0.775457 |
8,165,987 | 1 | 9 | 1. An automatic rule generation system, comprising: a hardware computer that executes a computer program that implements the automatic rule generation system, the computer program including a rule generation module, a rule relaxation module, a rule testing module, an information extraction module, and a candidate suggestion module, wherein: the rule generation module receives a sample and generates a rule from the sample; the rule relaxation module generates a relaxed rule from the rule; the rule testing module generates a reverse index from a corpus, applies the relaxed rule to the reverse index to determine a superset of documents from the corpus that satisfy the relaxed rule as compared to a set of documents that satisfy the rules, and generates text segments from the superset of documents; the information extraction module generates modified text segments from the relaxed rule and the text segments; and the candidate suggestion module performs a candidate generation process using the modified text segments, wherein: if the candidate generation process generates no candidates from the modified text segments, the candidate suggestion module signals the rule relaxation module to generate a further relaxed rule to use as the relaxed rule, and if the candidate generation process generates a candidate from the modified text segments, the candidate suggestion module provides the candidate as an additional sample for the automatic rule generation system to generate another rule to use as the rule. | 1. An automatic rule generation system, comprising: a hardware computer that executes a computer program that implements the automatic rule generation system, the computer program including a rule generation module, a rule relaxation module, a rule testing module, an information extraction module, and a candidate suggestion module, wherein: the rule generation module receives a sample and generates a rule from the sample; the rule relaxation module generates a relaxed rule from the rule; the rule testing module generates a reverse index from a corpus, applies the relaxed rule to the reverse index to determine a superset of documents from the corpus that satisfy the relaxed rule as compared to a set of documents that satisfy the rules, and generates text segments from the superset of documents; the information extraction module generates modified text segments from the relaxed rule and the text segments; and the candidate suggestion module performs a candidate generation process using the modified text segments, wherein: if the candidate generation process generates no candidates from the modified text segments, the candidate suggestion module signals the rule relaxation module to generate a further relaxed rule to use as the relaxed rule, and if the candidate generation process generates a candidate from the modified text segments, the candidate suggestion module provides the candidate as an additional sample for the automatic rule generation system to generate another rule to use as the rule. 9. The automatic rule generation system of claim 1 , wherein the rule testing module includes a text retrieval system that retrieves the superset of documents that satisfy the relaxed rule, wherein the text segments correspond to the superset. | 0.648844 |
8,423,955 | 17 | 20 | 17. A non-transitory machine-accessible storage medium including data that, when accessed by a processing device, cause the processing device to perform a method comprising: receiving, by a business process management (BPM) engine to support a plurality of business process languages, user input identifying a definition of a business process; identifying, by the processing device, one of the plurality of business process languages supported by the BPM engine and used for the definition of the business process, the identifying in view of a filename extension of a file containing the definition; invoking a runtime environment associated with the one of the plurality of business process languages; executing the business process in the invoked runtime environment; and storing, in a runtime execution database, runtime execution data collected during the executing of the business process, wherein the runtime execution data comprises generic data that applies across the plurality of business process languages and data specific to one of the plurality of business process languages. | 17. A non-transitory machine-accessible storage medium including data that, when accessed by a processing device, cause the processing device to perform a method comprising: receiving, by a business process management (BPM) engine to support a plurality of business process languages, user input identifying a definition of a business process; identifying, by the processing device, one of the plurality of business process languages supported by the BPM engine and used for the definition of the business process, the identifying in view of a filename extension of a file containing the definition; invoking a runtime environment associated with the one of the plurality of business process languages; executing the business process in the invoked runtime environment; and storing, in a runtime execution database, runtime execution data collected during the executing of the business process, wherein the runtime execution data comprises generic data that applies across the plurality of business process languages and data specific to one of the plurality of business process languages. 20. The non-transitory machine-accessible storage medium of claim 17 wherein the runtime execution data is presented to the user in a uniform manner regardless of a business process language used for defining the business process. | 0.738636 |
9,245,037 | 1 | 2 | 1. A method comprising: receiving, by a computing system having at least one processor, a first request to analyze a first network document, the first request including an identifier of the first network document; in response to the first request: analyzing, by the computing system, the first network document according to one or more search engine algorithms; generating a display of a first scoring analysis including a first score of the first network document; and generating a display of an option to view a second scoring analysis of a second network document within the first network document, wherein the second network document includes at least one link contributing to the first scoring analysis; in response to receiving a selection of the option to view the second scoring analysis, generating a display of results of the second scoring analysis including a second score of the second network document, wherein the display of the results of the second scoring analysis includes a link flow distribution that indicates a likelihood that a user will access the second network document relative to a third network document within the first network document, and wherein the display of the results of the first scoring analysis includes at least one factor contributing to the first score and wherein the display of the results of the second scoring analysis does not include the at least one factor contributing to the first score; receiving a second request to view a third scoring analysis of the at least one link, wherein the third scoring analysis includes an evaluation of one or more traffic-independent attributes of the at least one link, wherein the one or more traffic-independent attributes of the at least one link is different from attributes of a network destination specified by the at least one link; and in response to receiving the second request, generating a display of results of the third scoring analysis of the at least one link including the one or more traffic-independent attributes. | 1. A method comprising: receiving, by a computing system having at least one processor, a first request to analyze a first network document, the first request including an identifier of the first network document; in response to the first request: analyzing, by the computing system, the first network document according to one or more search engine algorithms; generating a display of a first scoring analysis including a first score of the first network document; and generating a display of an option to view a second scoring analysis of a second network document within the first network document, wherein the second network document includes at least one link contributing to the first scoring analysis; in response to receiving a selection of the option to view the second scoring analysis, generating a display of results of the second scoring analysis including a second score of the second network document, wherein the display of the results of the second scoring analysis includes a link flow distribution that indicates a likelihood that a user will access the second network document relative to a third network document within the first network document, and wherein the display of the results of the first scoring analysis includes at least one factor contributing to the first score and wherein the display of the results of the second scoring analysis does not include the at least one factor contributing to the first score; receiving a second request to view a third scoring analysis of the at least one link, wherein the third scoring analysis includes an evaluation of one or more traffic-independent attributes of the at least one link, wherein the one or more traffic-independent attributes of the at least one link is different from attributes of a network destination specified by the at least one link; and in response to receiving the second request, generating a display of results of the third scoring analysis of the at least one link including the one or more traffic-independent attributes. 2. The method of claim 1 , wherein the results of the second scoring analysis includes a listing of links evaluated in the second scoring analysis and wherein the method further comprises: receiving a request to filter the listing of links based on a specified criteria; and in response to the request, generating a display of a second listing of links matching the specified criteria. | 0.665799 |
8,171,031 | 1 | 2 | 1. A computer-implemented method for reducing an amount of ranking data analyzed at query time, the method comprising computer-implemented operations for: at index time, selecting a term from a master index, the term corresponding to a number of documents greater than a threshold; selecting a set of documents that includes the term based on the master index; determining a rank for each document in the set of documents that contains the term; assigning each document in the set of documents that contains the term to a top document list for the term or a bottom document list for the term based on the rank; storing predefined values of at least part of the rank in the top document list for documents in the top document list and not storing the predefined values of at least part of the rank in the bottom document list for documents in the bottom document list; at query time, determining whether each query term in a query is common; upon determining that each query term is common, populating a document result set with at least a subset of documents from the top document list and the bottom document list that satisfy the query, each of the subset of documents occurring in the top document list for at least one term in the query; upon populating the document result set, retrieving the predefined values from the top document list; ranking the document result set according to a linear model based on the predefined values for documents from the top document list and zero values for documents from the bottom document list; and transmitting a reduced subset of the document result set having the highest linear rank to a ranking function adapted to re-rank the documents in the reduced subset. | 1. A computer-implemented method for reducing an amount of ranking data analyzed at query time, the method comprising computer-implemented operations for: at index time, selecting a term from a master index, the term corresponding to a number of documents greater than a threshold; selecting a set of documents that includes the term based on the master index; determining a rank for each document in the set of documents that contains the term; assigning each document in the set of documents that contains the term to a top document list for the term or a bottom document list for the term based on the rank; storing predefined values of at least part of the rank in the top document list for documents in the top document list and not storing the predefined values of at least part of the rank in the bottom document list for documents in the bottom document list; at query time, determining whether each query term in a query is common; upon determining that each query term is common, populating a document result set with at least a subset of documents from the top document list and the bottom document list that satisfy the query, each of the subset of documents occurring in the top document list for at least one term in the query; upon populating the document result set, retrieving the predefined values from the top document list; ranking the document result set according to a linear model based on the predefined values for documents from the top document list and zero values for documents from the bottom document list; and transmitting a reduced subset of the document result set having the highest linear rank to a ranking function adapted to re-rank the documents in the reduced subset. 2. The computer-implemented method of claim 1 , wherein the rank comprises a linear rank. | 0.778607 |
10,152,299 | 1 | 22 | 1. A method for reducing response latency of intelligent automated assistants, the method comprising: at an electronic device: receiving, from a user, a speech input containing a user request; transmitting, to a server, a representation of the speech input; receiving, from the server, a domain signal defining a relevant domain of an actionable intent inferred from the user request; determining whether the relevant domain is associated with a predefined action of a set of predefined actions supported by the electronic device; in response to determining that the relevant domain is associated with a predefined action on the electronic device, performing the predefined action; after at least partially performing the predefined action, receiving, from the server, data content relevant to satisfying the user request, wherein the data content is generated according to an executed task flow corresponding to the actionable intent, and wherein performing the predefined action at least partially prepares the electronic device to process the received data content; and outputting a result based on the data content to at least partially satisfy the user request. | 1. A method for reducing response latency of intelligent automated assistants, the method comprising: at an electronic device: receiving, from a user, a speech input containing a user request; transmitting, to a server, a representation of the speech input; receiving, from the server, a domain signal defining a relevant domain of an actionable intent inferred from the user request; determining whether the relevant domain is associated with a predefined action of a set of predefined actions supported by the electronic device; in response to determining that the relevant domain is associated with a predefined action on the electronic device, performing the predefined action; after at least partially performing the predefined action, receiving, from the server, data content relevant to satisfying the user request, wherein the data content is generated according to an executed task flow corresponding to the actionable intent, and wherein performing the predefined action at least partially prepares the electronic device to process the received data content; and outputting a result based on the data content to at least partially satisfy the user request. 22. The method of claim 1 , wherein the domain signal is received while a structured query corresponding to the actionable intent is generated or while the task flow corresponding to the actionable intent is executed. | 0.855333 |
7,711,573 | 168 | 170 | 168. The computer program product of claim 151 , further comprising: program code for sending a portion of the parsed resume to a candidate. | 168. The computer program product of claim 151 , further comprising: program code for sending a portion of the parsed resume to a candidate. 170. The computer program product of claim 168 , the computer readable medium further storing: program code for receiving a modified copy of the portion of the parsed resume. | 0.96767 |
9,275,062 | 13 | 14 | 13. A system according to claim 11 , further comprising: an alias module to select the alias associated with at least one of the glossary terms and the search terms for inclusion in the search query. | 13. A system according to claim 11 , further comprising: an alias module to select the alias associated with at least one of the glossary terms and the search terms for inclusion in the search query. 14. A system according to claim 13 , wherein the alias is selected based on a similarity with the search query. | 0.969438 |
8,689,130 | 8 | 10 | 8. A method comprising: under control of one or more computer systems configured with executable instructions, while in a first input mode that restricts display of an input to a first set of characters, causing, via one or more computing devices, display of one or more characters of the first set of characters in a first manner; and while in a second input mode that restricts display of an input to a second set of characters that differs from the first set of characters, causing, via one or more computing devices, display of one or more characters of the second set of characters in a second manner that differs from the first manner. | 8. A method comprising: under control of one or more computer systems configured with executable instructions, while in a first input mode that restricts display of an input to a first set of characters, causing, via one or more computing devices, display of one or more characters of the first set of characters in a first manner; and while in a second input mode that restricts display of an input to a second set of characters that differs from the first set of characters, causing, via one or more computing devices, display of one or more characters of the second set of characters in a second manner that differs from the first manner. 10. The method as recited in claim 8 , wherein the first set of characters and the second set of characters comprise mutually exclusive sets of characters. | 0.905603 |
9,337,960 | 9 | 10 | 9. An encoding apparatus, comprising: a determining unit configured to determine a to-be-encoded first information group, wherein the first information group comprises m characters, m≧2, and m is an integer, wherein a character attribute of any character is a data character, a boundary character, or a third-type character, one character occupies one byte, and the third-type character is a character except the data character and the boundary character; a detecting unit configured to detect a character attribute of each character in the first information group; a generating unit configured to: if the first information group comprises n boundary characters, wherein n≧1, and n is an integer, delete the n boundary characters, and generate a second information group by using a character, except the n boundary characters, in the first information group, and type information and position information that are of the n boundary characters, wherein the second information group comprises m bytes; and an adding unit configured to add header information to the second information group according to a type of the first information group and a correspondence between a prestored type of a information group and a type of header information of the information group, wherein the type of the first information group is determined by the prestored type of the information group and character attributes of the characters in the first information group. | 9. An encoding apparatus, comprising: a determining unit configured to determine a to-be-encoded first information group, wherein the first information group comprises m characters, m≧2, and m is an integer, wherein a character attribute of any character is a data character, a boundary character, or a third-type character, one character occupies one byte, and the third-type character is a character except the data character and the boundary character; a detecting unit configured to detect a character attribute of each character in the first information group; a generating unit configured to: if the first information group comprises n boundary characters, wherein n≧1, and n is an integer, delete the n boundary characters, and generate a second information group by using a character, except the n boundary characters, in the first information group, and type information and position information that are of the n boundary characters, wherein the second information group comprises m bytes; and an adding unit configured to add header information to the second information group according to a type of the first information group and a correspondence between a prestored type of a information group and a type of header information of the information group, wherein the type of the first information group is determined by the prestored type of the information group and character attributes of the characters in the first information group. 10. The encoding apparatus according to claim 9 , wherein the generating unit is configured to: interchange first n characters in the first information group and the n boundary characters, delete the n boundary characters, and record, in at least first n bytes of the first information group, the type information and the position information that are of the n boundary characters to obtain the second information group, wherein the second information group comprises the m bytes; or delete the n boundary characters to obtain n idle bytes; move backward a character preceding the n th idle byte in the n idle bytes, so that remaining m-n characters in the first information group are recorded in consecutive bytes; and record, in at least first n bytes of the first information group, the type information and the position information that are of the n boundary characters to obtain the second information group, wherein the second information group comprises the m bytes. | 0.657394 |
8,012,175 | 11 | 12 | 11. The spine implant of claim 7 including: said first spring has a first scallop that is oriented in a first direction and a second scallop located on one side of the first scallop that is oriented in a second direction and a third scallop that is located on the other side of the first scallop that is oriented in a third direction; and said second spring has fourth scallop that is oriented in a fourth direction and a fifth scallop located on one side of the fourth scallop that is oriented in a fifth direction and a sixth scallop that is located on the other side of the fourth scallop that is oriented in a sixth direction. | 11. The spine implant of claim 7 including: said first spring has a first scallop that is oriented in a first direction and a second scallop located on one side of the first scallop that is oriented in a second direction and a third scallop that is located on the other side of the first scallop that is oriented in a third direction; and said second spring has fourth scallop that is oriented in a fourth direction and a fifth scallop located on one side of the fourth scallop that is oriented in a fifth direction and a sixth scallop that is located on the other side of the fourth scallop that is oriented in a sixth direction. 12. The spine implant of claim 11 wherein: said first and fourth direction are the same direction; and said second, third, fifth, and sixth direction are the same direction that is opposite to the direction of the first and fourth direction. | 0.741416 |
9,031,898 | 33 | 39 | 33. A method performed by one or more server devices, the method comprising: identifying, by a processor of the one or more server devices, a document that is relevant to a search term, the document comprising structural elements, where the structural elements comprise the document, a set of parts of the document, and a set of pages of the document; identifying, by a processor of the one or more server devices, a tree representation of the document, where the pages of the document correspond to leaf nodes, the parts of the document correspond to higher level nodes, and the document corresponds to a root node; assigning, by a processor of the one or more server devices, scores to the leaf nodes based on whether the leaf nodes contain occurrences of the search term; determining, by a processor of the one or more server devices, scores for the higher level nodes based on the scores of associated ones of the leaf nodes; determining, by a processor of the one or more server devices, a score for the root node based on the scores of the higher level nodes; providing, by a processor of the one or more server devices, a threshold, where the threshold is based on at least one of: a number of pages associated with one of the leaf nodes, a number of pages associated with one of the higher level nodes, or a number of pages associated with the root node; selecting, by a processor of the one or more server devices, one of the leaf nodes, one of the higher level nodes, or the root node, as a selected node, based on the scores and the threshold; and providing, by a processor of the one or more server devices, information relating to the selected node. | 33. A method performed by one or more server devices, the method comprising: identifying, by a processor of the one or more server devices, a document that is relevant to a search term, the document comprising structural elements, where the structural elements comprise the document, a set of parts of the document, and a set of pages of the document; identifying, by a processor of the one or more server devices, a tree representation of the document, where the pages of the document correspond to leaf nodes, the parts of the document correspond to higher level nodes, and the document corresponds to a root node; assigning, by a processor of the one or more server devices, scores to the leaf nodes based on whether the leaf nodes contain occurrences of the search term; determining, by a processor of the one or more server devices, scores for the higher level nodes based on the scores of associated ones of the leaf nodes; determining, by a processor of the one or more server devices, a score for the root node based on the scores of the higher level nodes; providing, by a processor of the one or more server devices, a threshold, where the threshold is based on at least one of: a number of pages associated with one of the leaf nodes, a number of pages associated with one of the higher level nodes, or a number of pages associated with the root node; selecting, by a processor of the one or more server devices, one of the leaf nodes, one of the higher level nodes, or the root node, as a selected node, based on the scores and the threshold; and providing, by a processor of the one or more server devices, information relating to the selected node. 39. The method of claim 33 , where the information related to the selected node is a first page of the part when the part is the selected node. | 0.860078 |
9,626,455 | 16 | 19 | 16. A method for displaying a visualization of a search query, the method comprising: providing for display, by a computer comprising a processor and a memory component, a graphical user interface having a query input element; receiving a search query entered into the query input element, wherein the search query includes a plurality of query terms; providing for display on the graphical user interface a query visualization and manipulation element including a plurality of nodes and a plurality of connectors, wherein the plurality of nodes correspond to the plurality of query terms, wherein each connector of the plurality of connectors connects a pair of the plurality of nodes and is representative of a proximity of the corresponding query terms of the connected pair of nodes; providing for display an estimated relevance element and a results feedback element on the graphical user interface; searching a database using the search query to identify a result set of documents, wherein the result set of documents are identified based on the search query; calculating an estimated relevance score for the result set of documents, wherein the estimated relevance score is indicative of a degree to which the result set of documents are relevant to the search query; updating the results feedback element based on the result set of documents; and updating the estimated relevance element to display the estimated relevance indicator based on the estimated relevance score, wherein the estimated relevance indicator provides a visual indication of the degree to which the result set of documents are relevant to the search query. | 16. A method for displaying a visualization of a search query, the method comprising: providing for display, by a computer comprising a processor and a memory component, a graphical user interface having a query input element; receiving a search query entered into the query input element, wherein the search query includes a plurality of query terms; providing for display on the graphical user interface a query visualization and manipulation element including a plurality of nodes and a plurality of connectors, wherein the plurality of nodes correspond to the plurality of query terms, wherein each connector of the plurality of connectors connects a pair of the plurality of nodes and is representative of a proximity of the corresponding query terms of the connected pair of nodes; providing for display an estimated relevance element and a results feedback element on the graphical user interface; searching a database using the search query to identify a result set of documents, wherein the result set of documents are identified based on the search query; calculating an estimated relevance score for the result set of documents, wherein the estimated relevance score is indicative of a degree to which the result set of documents are relevant to the search query; updating the results feedback element based on the result set of documents; and updating the estimated relevance element to display the estimated relevance indicator based on the estimated relevance score, wherein the estimated relevance indicator provides a visual indication of the degree to which the result set of documents are relevant to the search query. 19. The method of claim 16 , wherein a color of the estimated relevance indicator is indicative of the degree to which the result set of documents are relevant to the search query. | 0.937238 |
7,752,535 | 6 | 10 | 6. In a computer system, a method for sorting and reporting transaction information using proprietary software tangibly embodied on a computer-readable medium, comprising: (a) automatically navigating to and retrieving transaction information associated with a specific person or enterprise from third-party Internet-connected web sites and gathering information concerning transactions by a collection function of the proprietary software said information including at least date, description, and amount of the transactions; (b) requesting a summary of transactions by a client via an input function of the proprietary software over a specific range of dates, according to a definition of purpose of transactions including at least expenditure types; (c) categorizing individual ones of the collected transactions according to at least part of the transaction description for determining the purpose, via a processing function of the proprietary software using pre-stored description characteristics associated with the purpose; (d) summarizing, by a compilation function of the proprietary software, the transactions that meet the purpose and fall into the specific range of dates; (e) reporting the summary of transactions to the particular person or enterprise by a reporting function; (f) storing past transaction history associated with the particular person or enterprise, wherein the past transaction history is used to predict future transaction statistical information, and wherein a probability algorithm is used in developing the description characteristics, and wherein the description characteristics are periodically amended according to further information that is collected and processed. | 6. In a computer system, a method for sorting and reporting transaction information using proprietary software tangibly embodied on a computer-readable medium, comprising: (a) automatically navigating to and retrieving transaction information associated with a specific person or enterprise from third-party Internet-connected web sites and gathering information concerning transactions by a collection function of the proprietary software said information including at least date, description, and amount of the transactions; (b) requesting a summary of transactions by a client via an input function of the proprietary software over a specific range of dates, according to a definition of purpose of transactions including at least expenditure types; (c) categorizing individual ones of the collected transactions according to at least part of the transaction description for determining the purpose, via a processing function of the proprietary software using pre-stored description characteristics associated with the purpose; (d) summarizing, by a compilation function of the proprietary software, the transactions that meet the purpose and fall into the specific range of dates; (e) reporting the summary of transactions to the particular person or enterprise by a reporting function; (f) storing past transaction history associated with the particular person or enterprise, wherein the past transaction history is used to predict future transaction statistical information, and wherein a probability algorithm is used in developing the description characteristics, and wherein the description characteristics are periodically amended according to further information that is collected and processed. 10. The method of claim 6 wherein the system reports to clients through the Internet network. | 0.759067 |
9,208,262 | 39 | 42 | 39. A system for providing a graphical representation of a plurality of items in a collaborative innovation environment, the system comprising: a memory to store a plurality of items, each item having an association with at least one other item; an interface operatively connected to the memory, the interface operative to communicate with a device of a user; and a hardware processor operatively connected to the memory and the interface, the hardware processor operative to: receive, from the device of the user, a request to initiate a collaborative innovation process with a seed item wherein the seed item includes an idea, a question, an opinion or a statement for which a result is sought, and to innovate one or more idea items directly or indirectly in response to the seed item to determine the result for the seed item based on the one or more idea items in the collaborative innovation process, wherein the seed item and the one or more idea items comprise the plurality of items; provide by the hardware processor to the device of the user, a list of a plurality of seed items in a graphical user interface; provide, to the device of the user in the graphical user interface, a graphical representation of the plurality of items including a seed item selected by the user from the plurality of seed items and a plurality of idea items innovated in response to the selected seed item, wherein each item of the plurality of items is represented by a shape and the association of each item with the at least one other item is represented by a line between each shape representing each item and each shape representing the at least one other item, wherein the line between each shape representing each item and each shape representing the at least one other item identifies whether the each item is an idea item that was innovated from the at least one other item, receive, from the device of the user, a request to associate a first metric of the plurality of items with a size of each shape representing each respective item, wherein the size of each shape is based on a value of the first metric of each respective item, receive, from the device of the user, a request to associate a second metric with a color of each shape representing each respective item, wherein the color of each shape is based on a second value of the second metric of each respective item, transform, by the hardware processor, the graphical representation of the plurality of items such that the size of each shape representing each respective item is based on the first value of the first metric of each respective item and the color of each shape representing each item is based on the second value of the second metric of each respective item, transform, by the hardware processor, the plurality of items into a textual outline representation of the plurality of items, provide, to the device of the user, the transformed graphical representation and the textual outline representation of the plurality of items, wherein the graphical representation comprising the metrics of the idea items and the textual outline representation comprising the textual descriptive information of the plurality of idea items are simultaneously displayed on the device of the user in a graphical representation display area and an textual outline display area respectively, wherein the graphical representation display area and the textual outline display area are each a responsive display area to each other; and responsively, reflect actions performed in either the graphical representation display area or the textual outline display area in the responsive display area of the other, by: creating an item innovated from one of the plurality of items in the responsive display area of the other in instances when one of the plurality of items is selected and when a selection is received from a user selection made in either the graphical representation display area or the textual outline display area; and receiving, by the hardware processor from the device of the user, a request to search through a set of idea items of the plurality of idea items, wherein the set of items to be searched is determined based on a user selection that indicates whether to search all of the plurality of idea items or to search only a subset of the plurality of idea items that have received a specified rating; moving a user-selected one item of the plurality of items having an association with the at least one other item in the graphical representation to a user-selected destination by: disassociating the user-selected one item of the plurality of items from an item it was innovated from; associating the selected one item of the plurality of items with another item based on user input; providing by the hardware processor to the device of the user a preview for display of the graphical representation including the moved user-selected one item of the plurality of items to the destination item; and allowing the user to cancel or confirm the move of the user-selected one item of the plurality of items; wherein in response to a click of a move descendants button in a user interface by the user, including the descendants of the user-selected one item of the plurality of items in the moving of the user-selected one item of the plurality of items to the user-selected destination, and including the descendants of the moved user-selected one item of the plurality of items in the preview for display of the graphical representation; in response to a click of a like it button or a click of a don't like it button in the graphical user interface, entering a rating of a selected item in the graphical user interface; in response to a click of an enhance button in the graphical user interface allowing a user to create an item enhancing a selected item in the graphical user interface; in response to a click of an edit button in the graphical user interface allowing a user to edit a selected item in the graphical user interface; and in response to a click of a delete button in the graphical user interface deleting a selected item in the graphical user interface; wherein the graphical user interface includes the like it button, the don't like it button, the enhance button, the edit button and the delete button. | 39. A system for providing a graphical representation of a plurality of items in a collaborative innovation environment, the system comprising: a memory to store a plurality of items, each item having an association with at least one other item; an interface operatively connected to the memory, the interface operative to communicate with a device of a user; and a hardware processor operatively connected to the memory and the interface, the hardware processor operative to: receive, from the device of the user, a request to initiate a collaborative innovation process with a seed item wherein the seed item includes an idea, a question, an opinion or a statement for which a result is sought, and to innovate one or more idea items directly or indirectly in response to the seed item to determine the result for the seed item based on the one or more idea items in the collaborative innovation process, wherein the seed item and the one or more idea items comprise the plurality of items; provide by the hardware processor to the device of the user, a list of a plurality of seed items in a graphical user interface; provide, to the device of the user in the graphical user interface, a graphical representation of the plurality of items including a seed item selected by the user from the plurality of seed items and a plurality of idea items innovated in response to the selected seed item, wherein each item of the plurality of items is represented by a shape and the association of each item with the at least one other item is represented by a line between each shape representing each item and each shape representing the at least one other item, wherein the line between each shape representing each item and each shape representing the at least one other item identifies whether the each item is an idea item that was innovated from the at least one other item, receive, from the device of the user, a request to associate a first metric of the plurality of items with a size of each shape representing each respective item, wherein the size of each shape is based on a value of the first metric of each respective item, receive, from the device of the user, a request to associate a second metric with a color of each shape representing each respective item, wherein the color of each shape is based on a second value of the second metric of each respective item, transform, by the hardware processor, the graphical representation of the plurality of items such that the size of each shape representing each respective item is based on the first value of the first metric of each respective item and the color of each shape representing each item is based on the second value of the second metric of each respective item, transform, by the hardware processor, the plurality of items into a textual outline representation of the plurality of items, provide, to the device of the user, the transformed graphical representation and the textual outline representation of the plurality of items, wherein the graphical representation comprising the metrics of the idea items and the textual outline representation comprising the textual descriptive information of the plurality of idea items are simultaneously displayed on the device of the user in a graphical representation display area and an textual outline display area respectively, wherein the graphical representation display area and the textual outline display area are each a responsive display area to each other; and responsively, reflect actions performed in either the graphical representation display area or the textual outline display area in the responsive display area of the other, by: creating an item innovated from one of the plurality of items in the responsive display area of the other in instances when one of the plurality of items is selected and when a selection is received from a user selection made in either the graphical representation display area or the textual outline display area; and receiving, by the hardware processor from the device of the user, a request to search through a set of idea items of the plurality of idea items, wherein the set of items to be searched is determined based on a user selection that indicates whether to search all of the plurality of idea items or to search only a subset of the plurality of idea items that have received a specified rating; moving a user-selected one item of the plurality of items having an association with the at least one other item in the graphical representation to a user-selected destination by: disassociating the user-selected one item of the plurality of items from an item it was innovated from; associating the selected one item of the plurality of items with another item based on user input; providing by the hardware processor to the device of the user a preview for display of the graphical representation including the moved user-selected one item of the plurality of items to the destination item; and allowing the user to cancel or confirm the move of the user-selected one item of the plurality of items; wherein in response to a click of a move descendants button in a user interface by the user, including the descendants of the user-selected one item of the plurality of items in the moving of the user-selected one item of the plurality of items to the user-selected destination, and including the descendants of the moved user-selected one item of the plurality of items in the preview for display of the graphical representation; in response to a click of a like it button or a click of a don't like it button in the graphical user interface, entering a rating of a selected item in the graphical user interface; in response to a click of an enhance button in the graphical user interface allowing a user to create an item enhancing a selected item in the graphical user interface; in response to a click of an edit button in the graphical user interface allowing a user to edit a selected item in the graphical user interface; and in response to a click of a delete button in the graphical user interface deleting a selected item in the graphical user interface; wherein the graphical user interface includes the like it button, the don't like it button, the enhance button, the edit button and the delete button. 42. The system of claim 39 wherein the size of each shape increases as the first value of the first metric of each item approaches a best value for the first metric, and the size of each shape decreases as the first value of the first metric of each item approaches a worst value for the first metric. | 0.819328 |
8,190,647 | 15 | 20 | 15. A non-transitory computer-readable storage medium encoded with executable computer program code for constructing a decision tree for classifying computer files based on the computational complexities of attributes of the files, the computer program code comprising program code when executes by a processor causes a computer to perform the steps: creating a plurality of attribute vectors for a plurality of training files of known classification, each attribute vector comprising values of a predetermined set of attributes for an associated training file; determining a complexity score for each attribute in the predetermined set of attributes, the complexity score measuring a cost associated with determining a value of an associated attribute for a file; and growing a decision tree based on the plurality of attribute vectors, comprising: (1) setting the plurality of attribute vectors as a current set, (2) determining a weighted impurity reduction score for at least one attribute of the predetermined set of attributes based on the complexity score of the attribute, the weighted impurity reduction score quantifying a cost-benefit tradeoff for an associated attribute in classifying the current set, (3) selecting a splitting attribute from the at least one attribute of the predetermined set of attributes, (4) splitting the current set into subsets using the splitting attribute, and (5) repeating steps (2) through (4) for each of the subsets as the current set. | 15. A non-transitory computer-readable storage medium encoded with executable computer program code for constructing a decision tree for classifying computer files based on the computational complexities of attributes of the files, the computer program code comprising program code when executes by a processor causes a computer to perform the steps: creating a plurality of attribute vectors for a plurality of training files of known classification, each attribute vector comprising values of a predetermined set of attributes for an associated training file; determining a complexity score for each attribute in the predetermined set of attributes, the complexity score measuring a cost associated with determining a value of an associated attribute for a file; and growing a decision tree based on the plurality of attribute vectors, comprising: (1) setting the plurality of attribute vectors as a current set, (2) determining a weighted impurity reduction score for at least one attribute of the predetermined set of attributes based on the complexity score of the attribute, the weighted impurity reduction score quantifying a cost-benefit tradeoff for an associated attribute in classifying the current set, (3) selecting a splitting attribute from the at least one attribute of the predetermined set of attributes, (4) splitting the current set into subsets using the splitting attribute, and (5) repeating steps (2) through (4) for each of the subsets as the current set. 20. The computer-readable storage medium of claim 15 , wherein the computer program code further comprises program code for: pruning the decision tree based on a plurality of examining files and the complexity scores for splitting attributes of the decision tree. | 0.805473 |
7,676,743 | 48 | 58 | 48. A method of fitting graphical objects within a plurality of separate graphical frames in a document, each frame being associated with at least one fitting attribute with a value for fitting one or more of the graphical objects in the frame, comprising: automatically determining an optimized value for the at least one attribute for each of the plurality of frames individually; automatically assessing the optimized values to determine a common scaling factor for the at least one attribute based on a particular one of the optimized values; and scaling the values for the at least one attribute in each of the plurality of separate graphical frames by the common scaling factor to fit one or more of the graphical objects in each of the plurality of separate graphical frames, wherein said scaling modifies at least one graphical object within each of the plurality of separate graphical frames, wherein said scaling is performed without modifying the size of the frames in the plurality of separate graphical frame, wherein at least one of the scaled values is different than another one of the scaled values. | 48. A method of fitting graphical objects within a plurality of separate graphical frames in a document, each frame being associated with at least one fitting attribute with a value for fitting one or more of the graphical objects in the frame, comprising: automatically determining an optimized value for the at least one attribute for each of the plurality of frames individually; automatically assessing the optimized values to determine a common scaling factor for the at least one attribute based on a particular one of the optimized values; and scaling the values for the at least one attribute in each of the plurality of separate graphical frames by the common scaling factor to fit one or more of the graphical objects in each of the plurality of separate graphical frames, wherein said scaling modifies at least one graphical object within each of the plurality of separate graphical frames, wherein said scaling is performed without modifying the size of the frames in the plurality of separate graphical frame, wherein at least one of the scaled values is different than another one of the scaled values. 58. The method of claim 48 , wherein scaling the values results in substantially filling only one frame without overset, with other frames being underset. | 0.815348 |
8,917,853 | 15 | 16 | 15. A non-transitory computer readable storage medium storing a program of instructions executable by a machine to perform a method for enhancing problem resolution at a call center based on speech recognition of a caller, comprising: receiving an incoming call and generating call data based on speech recognition of the incoming call using a computer having a processor; generating and associating annotated metadata about the call data; creating a historical record including the call data and the annotated metadata, the historical record being stored in a storage medium communicating with the computer, the historical record storing solutions associated with the call data and the annotated metadata and indexing callers by issues identified by the call data and the annotated metadata; generating context data for the incoming call by analyzing the historical record to identify: a caller, a topic, a date and a stress level of the caller; comparing the context data to historical records of previous calls; conducting a topic probabilities analysis by comparing the context data to the historical records of previous calls; assigning a weight to each solution in the historical record based on likelihood of success derived from the annotated metadata; and determining a solution for the topic based on the probabilities analysis and further based on the assigned weight of each solution. | 15. A non-transitory computer readable storage medium storing a program of instructions executable by a machine to perform a method for enhancing problem resolution at a call center based on speech recognition of a caller, comprising: receiving an incoming call and generating call data based on speech recognition of the incoming call using a computer having a processor; generating and associating annotated metadata about the call data; creating a historical record including the call data and the annotated metadata, the historical record being stored in a storage medium communicating with the computer, the historical record storing solutions associated with the call data and the annotated metadata and indexing callers by issues identified by the call data and the annotated metadata; generating context data for the incoming call by analyzing the historical record to identify: a caller, a topic, a date and a stress level of the caller; comparing the context data to historical records of previous calls; conducting a topic probabilities analysis by comparing the context data to the historical records of previous calls; assigning a weight to each solution in the historical record based on likelihood of success derived from the annotated metadata; and determining a solution for the topic based on the probabilities analysis and further based on the assigned weight of each solution. 16. The non-transitory computer readable storage medium of claim 15 , further comprising: defining an attribute from the call data or the annotated metadata; and assigning a weight to the attribute. | 0.679612 |
9,355,178 | 24 | 39 | 24. A system comprising: a) a Web server computer configured to present web page search results related to terms of a search query initiated by a user, wherein the web page search results include a results list comprising a list of web pages related to the terms of the search query, the order in which the web pages are presented in response to the search query being influenced by relevance feedback provided by multiple users prior to the search query, and wherein the relevance feedback is different from selection of a link to a web page in the results list; b) a search engine for querying a database and providing the web page search results in response to user queries; and c) a content manager for managing the supplemental information in response to user input, wherein the user input comprises the relevance feedback. | 24. A system comprising: a) a Web server computer configured to present web page search results related to terms of a search query initiated by a user, wherein the web page search results include a results list comprising a list of web pages related to the terms of the search query, the order in which the web pages are presented in response to the search query being influenced by relevance feedback provided by multiple users prior to the search query, and wherein the relevance feedback is different from selection of a link to a web page in the results list; b) a search engine for querying a database and providing the web page search results in response to user queries; and c) a content manager for managing the supplemental information in response to user input, wherein the user input comprises the relevance feedback. 39. The system of claim 24 , wherein the relevance feedback comprises information related to relevancies of elements in the results list or an indication of the user's assessment of the quality or interest of the web page corresponding to an entry in the results list. | 0.727088 |
10,013,612 | 12 | 14 | 12. The computer program product of claim 9 wherein the instructions are executable by the processor to identify similarity feature sets from a plurality of features derived from digital representations of a plurality of image captures, the plurality of features being represented in a feature space corresponding to a recognition algorithm, and the similarity feature sets being selected based on a similarity measure. | 12. The computer program product of claim 9 wherein the instructions are executable by the processor to identify similarity feature sets from a plurality of features derived from digital representations of a plurality of image captures, the plurality of features being represented in a feature space corresponding to a recognition algorithm, and the similarity feature sets being selected based on a similarity measure. 14. The computer program product of claim 12 wherein the recognition algorithm is an image processing algorithm including at least one of the following: SIFT, BRISK, SURF, FERNS, DAISY, GLOH, FAST, OCR, FREAK, HOG BRIEF, Harris Corners detector, EOG, TILT and facial recognition. | 0.932965 |
7,805,441 | 7 | 8 | 7. A system comprising: a server, comprising a processor and memory, for: parsing an original search query received from a user over a network through a query web page to obtain at least one query term; retrieving a plurality of keywords from a database related contextually to a category of said query web page and said at least one query term; generating a set of modified queries, each modified query further comprising said at least one query term and at least one keyword of said plurality of keywords; retrieving a plurality of advertising offers for each modified query and for said original query; removing, in a computer, any advertising offer that is not related contextually to said category of said query web page; and ranking, in a computer, the advertising offers not removed based on at least one predetermined parameter. | 7. A system comprising: a server, comprising a processor and memory, for: parsing an original search query received from a user over a network through a query web page to obtain at least one query term; retrieving a plurality of keywords from a database related contextually to a category of said query web page and said at least one query term; generating a set of modified queries, each modified query further comprising said at least one query term and at least one keyword of said plurality of keywords; retrieving a plurality of advertising offers for each modified query and for said original query; removing, in a computer, any advertising offer that is not related contextually to said category of said query web page; and ranking, in a computer, the advertising offers not removed based on at least one predetermined parameter. 8. The system according to claim 7 , wherein each keyword and said at least one query term pertain to a common subject matter related to said page category. | 0.837161 |
9,087,396 | 8 | 9 | 8. The method of claim 7 , wherein the components, red, green and blue, of the color of each individual pixel are defined in a three-dimensional space, wherein brightness is calculated as a distance in space from an origin to the component. | 8. The method of claim 7 , wherein the components, red, green and blue, of the color of each individual pixel are defined in a three-dimensional space, wherein brightness is calculated as a distance in space from an origin to the component. 9. The method of claim 8 , wherein the semi-transparent mask layer has an opacity of less than 50%. | 0.949387 |
8,972,390 | 1 | 4 | 1. A method of identifying web pages of a world wide web having relevance to a first file, comprising: identifying a plurality of web pages within the world wide web, wherein the plurality of web pages each have a relationship with the first file, wherein the world wide web provides a platform for sharing web pages, and wherein each web page includes a document or information resource that is suitable for the world wide web and is accessible through a web browser; generating, by a system server, a list of inquiries based on the plurality of web pages; providing, by the system server, the list of inquiries to at least one first author of the first file; receiving from the at least one first author at least one response to the list of inquiries; selecting a subset of the plurality of web pages based on the at least one response; storing information related to the selected subset of the plurality of web pages for access if the first file is selected; generating, by the system server, a second list of inquiries based on the plurality of web pages; providing, by the system server, the second list of inquiries to at least one second author of the plurality of web pages; receiving from the at least one second author of the plurality of web pages at least one second response to the second list of inquiries; re-selecting the subset of the plurality of web pages based on the at least one response and the at least one second response; and storing information related to the re-selected subset of the plurality of web pages for access if the first file is selected; providing, by the system server, the re-selected subset of the plurality of web pages or the selected subset of the plurality of web pages to a user that selects the first file; and identifying the at least one second author or the at least one first author to the user. | 1. A method of identifying web pages of a world wide web having relevance to a first file, comprising: identifying a plurality of web pages within the world wide web, wherein the plurality of web pages each have a relationship with the first file, wherein the world wide web provides a platform for sharing web pages, and wherein each web page includes a document or information resource that is suitable for the world wide web and is accessible through a web browser; generating, by a system server, a list of inquiries based on the plurality of web pages; providing, by the system server, the list of inquiries to at least one first author of the first file; receiving from the at least one first author at least one response to the list of inquiries; selecting a subset of the plurality of web pages based on the at least one response; storing information related to the selected subset of the plurality of web pages for access if the first file is selected; generating, by the system server, a second list of inquiries based on the plurality of web pages; providing, by the system server, the second list of inquiries to at least one second author of the plurality of web pages; receiving from the at least one second author of the plurality of web pages at least one second response to the second list of inquiries; re-selecting the subset of the plurality of web pages based on the at least one response and the at least one second response; and storing information related to the re-selected subset of the plurality of web pages for access if the first file is selected; providing, by the system server, the re-selected subset of the plurality of web pages or the selected subset of the plurality of web pages to a user that selects the first file; and identifying the at least one second author or the at least one first author to the user. 4. The method of claim 1 , further comprising providing a hyperlink between the first file and the selected subset of the plurality of web pages, wherein the hyperlink influences a ranking of search results that include at least one of the first file and the plurality of web pages. | 0.695464 |
7,979,840 | 1 | 5 | 1. A method for service-oriented architecture (SOA) process decomposition and service modeling, wherein a meta-data model is a formalization of said SOA, comprising the steps of: identifying meta-data entities, attributes of said meta-data entities and relationships between stereotypes of said meta-data model; managing said meta-data model for creating, modifying and removing modeling artifacts; creating modeling templates from said meta-data model to facilitate addressing needs of industry-specific applications; and enabling value-added services from said modeling templates to provide capabilities comprising at least one of model validation, service discovery, service composition, service level agreement (SLA) management and industry-specific solution modeling. | 1. A method for service-oriented architecture (SOA) process decomposition and service modeling, wherein a meta-data model is a formalization of said SOA, comprising the steps of: identifying meta-data entities, attributes of said meta-data entities and relationships between stereotypes of said meta-data model; managing said meta-data model for creating, modifying and removing modeling artifacts; creating modeling templates from said meta-data model to facilitate addressing needs of industry-specific applications; and enabling value-added services from said modeling templates to provide capabilities comprising at least one of model validation, service discovery, service composition, service level agreement (SLA) management and industry-specific solution modeling. 5. The method of claim 1 , further comprising the step of: deriving an SOA-method model to provide a generic framework for service modeling in an SOA solution. | 0.85305 |
8,423,508 | 25 | 26 | 25. The access terminal of claim 16 , wherein the at least one processor is further configured with processor-executable instructions to: monitor the obtained plurality of terminal data for terminal data matching the respective portion of the plurality of terminal data determined to correspond to each respective context; generate a context state event upon a determination of a match to each context; and perform a context action based on the context state event. | 25. The access terminal of claim 16 , wherein the at least one processor is further configured with processor-executable instructions to: monitor the obtained plurality of terminal data for terminal data matching the respective portion of the plurality of terminal data determined to correspond to each respective context; generate a context state event upon a determination of a match to each context; and perform a context action based on the context state event. 26. The access terminal of claim 25 , further comprising an application stored in the memory and executable to perform the context action triggered by the context state event. | 0.940232 |
9,785,633 | 1 | 4 | 1. A foreign language service assisting apparatus for assisting conversations held for services between a first user using a first language and a second user using a second language, comprising a processor programmed to: acquire first information, via a first acquisition unit controlled by a controller, on a first article serving as an initial candidate for a certain article, the first information including a first part of a sentence inputted by a microphone having a speech recognition function in the first language, and the first article being associated with at least one article attribute of the certain article; acquire second information, via a second acquisition unit controlled by the controller, on at least one second article associated with the first article as a subsequent candidate for the certain article, and to acquire one or more subsequent speech candidates expected to be subsequently spoken by the second user, based on the first information and the at least one article attribute of the first article, each of the second information and the one or more subsequent speech candidates including a second part of the sentence in the first language; translate, via a translation unit controlled by the controller, into the second language, parts included in the first information, the second information, and the one or more subsequent speech candidates; present, via a presentation unit in communication with the controller, at least the translated parts; and accept, via an accepting unit in communication with the controller, a selection associated with the first article, a selection associated with the second article, or a selection associated with the one or more subsequent speech candidates, wherein the information on the article attribute is a particular attribute category, wherein the second acquisition unit acquires the second information from an article information storing unit that stores a plurality of article information entries including attribute information corresponding to preset plural kinds of attribute categories, based on attribute information corresponding to an attribute category associated with an article name of the first article, and particular attribute information corresponding to the particular attribute category, and wherein the second acquisition unit acquires, as the second information, at least one of part or all of first article information entries and part or all of second article information entries from the article information entries stored in the article information storing unit, wherein the first article information entries includes same attribute information as the attribute information corresponding to the attribute category associated with the article name of the first article, and also includes attribute information different from the particular attribute information corresponding to the particular attribute category indicating a color different from a particular color corresponding to the attribute category associated with color, wherein the second article information entries includes same attribute information as the attribute information corresponding to the attribute category associated with the article name of the first article, also includes same attribute information as the particular attribute information corresponding to the particular attribute category, and attribute information indicating a same color as the particular color, and excluding third article information entries associated with the first article, and wherein the particular attribute category is an attribute category associated with color, and the particular attribute information is information indicating the particular color. | 1. A foreign language service assisting apparatus for assisting conversations held for services between a first user using a first language and a second user using a second language, comprising a processor programmed to: acquire first information, via a first acquisition unit controlled by a controller, on a first article serving as an initial candidate for a certain article, the first information including a first part of a sentence inputted by a microphone having a speech recognition function in the first language, and the first article being associated with at least one article attribute of the certain article; acquire second information, via a second acquisition unit controlled by the controller, on at least one second article associated with the first article as a subsequent candidate for the certain article, and to acquire one or more subsequent speech candidates expected to be subsequently spoken by the second user, based on the first information and the at least one article attribute of the first article, each of the second information and the one or more subsequent speech candidates including a second part of the sentence in the first language; translate, via a translation unit controlled by the controller, into the second language, parts included in the first information, the second information, and the one or more subsequent speech candidates; present, via a presentation unit in communication with the controller, at least the translated parts; and accept, via an accepting unit in communication with the controller, a selection associated with the first article, a selection associated with the second article, or a selection associated with the one or more subsequent speech candidates, wherein the information on the article attribute is a particular attribute category, wherein the second acquisition unit acquires the second information from an article information storing unit that stores a plurality of article information entries including attribute information corresponding to preset plural kinds of attribute categories, based on attribute information corresponding to an attribute category associated with an article name of the first article, and particular attribute information corresponding to the particular attribute category, and wherein the second acquisition unit acquires, as the second information, at least one of part or all of first article information entries and part or all of second article information entries from the article information entries stored in the article information storing unit, wherein the first article information entries includes same attribute information as the attribute information corresponding to the attribute category associated with the article name of the first article, and also includes attribute information different from the particular attribute information corresponding to the particular attribute category indicating a color different from a particular color corresponding to the attribute category associated with color, wherein the second article information entries includes same attribute information as the attribute information corresponding to the attribute category associated with the article name of the first article, also includes same attribute information as the particular attribute information corresponding to the particular attribute category, and attribute information indicating a same color as the particular color, and excluding third article information entries associated with the first article, and wherein the particular attribute category is an attribute category associated with color, and the particular attribute information is information indicating the particular color. 4. The apparatus according to claim 1 , further comprising an image information input unit configured to input image information, wherein the second acquisition unit acquires, from an article information storing unit storing information associated with a plurality of articles, article information associated with at least one article that satisfies at least one condition set based on the image information input by the image information input unit, presents a list of the article information, and sets, as the first article, an article selected from the presented list by the first or second user. | 0.604881 |
9,092,733 | 1 | 9 | 1. A computer-based management system for guiding a human agent during an interaction with a customer of a contact center, comprising: a processor; and a memory, wherein the memory has computer instructions stored therein that, when executed by the processor, cause the processor to: display an initial script on an agent display device during the interaction for guiding the human agent on suggested dialogue or other actions to be taken during the interaction between the agent and the customer, wherein the displayed initial script includes first and second script components; monitor the interaction between the human agent and the customer for context analysis and generate context analysis output in response; monitor performance of the contact center and output statistical performance data in response; identify a change in the statistical performance data, wherein the change indicates decrease of the contact center performance; and identify a rule based on both the context analysis output and the identified change in the statistical performance data, wherein the identified rule is for increasing contact center performance in response to the change indicating decrease of the contact center performance; select a third script component based on the identified rule; dynamically update the initial script to replace the second script component with the selected third script component; and update the agent display device to display the modified initial script replacing the second script component with the third script component. | 1. A computer-based management system for guiding a human agent during an interaction with a customer of a contact center, comprising: a processor; and a memory, wherein the memory has computer instructions stored therein that, when executed by the processor, cause the processor to: display an initial script on an agent display device during the interaction for guiding the human agent on suggested dialogue or other actions to be taken during the interaction between the agent and the customer, wherein the displayed initial script includes first and second script components; monitor the interaction between the human agent and the customer for context analysis and generate context analysis output in response; monitor performance of the contact center and output statistical performance data in response; identify a change in the statistical performance data, wherein the change indicates decrease of the contact center performance; and identify a rule based on both the context analysis output and the identified change in the statistical performance data, wherein the identified rule is for increasing contact center performance in response to the change indicating decrease of the contact center performance; select a third script component based on the identified rule; dynamically update the initial script to replace the second script component with the selected third script component; and update the agent display device to display the modified initial script replacing the second script component with the third script component. 9. The system of claim 1 , wherein the modified initial script includes prompts displayed to the agent. | 0.79065 |
10,152,966 | 6 | 11 | 6. A method comprising: receiving, at a device, an audio signal comprising a signal marker of a plurality of signal markers; processing the signal marker; and determining, based on the processing of the signal marker, not to cause execution of a voice command associated with the signal marker, wherein the plurality of signal markers comprises a first signal marker configured to cause the device not to cause execution of a voice command for a first time duration and a second signal marker configured to cause the device not to cause execution of a voice command for a second time duration. | 6. A method comprising: receiving, at a device, an audio signal comprising a signal marker of a plurality of signal markers; processing the signal marker; and determining, based on the processing of the signal marker, not to cause execution of a voice command associated with the signal marker, wherein the plurality of signal markers comprises a first signal marker configured to cause the device not to cause execution of a voice command for a first time duration and a second signal marker configured to cause the device not to cause execution of a voice command for a second time duration. 11. The method of claim 6 , further comprising: sampling the received audio signal at periodic intervals; and determining, based on the sampling of the received audio signal at periodic intervals, a location of a source that generated the audio signal. | 0.692683 |
7,860,819 | 14 | 16 | 14. The apparatus of claim 13 , wherein some of the links of the semantic network are visible in the portion of the semantic network and others of the links are not visible in the portion of the semantic network. | 14. The apparatus of claim 13 , wherein some of the links of the semantic network are visible in the portion of the semantic network and others of the links are not visible in the portion of the semantic network. 16. The apparatus of claim 14 , wherein the second data represents an ordered stack of a plurality of variants, and wherein the processor is further configured to determine the portion of the semantic network such that some of the links are visible and others of the links are not visible, depending upon both whether the variants that condition the links are included in the second data and an order of the variants in the stack. | 0.796209 |
9,507,832 | 10 | 14 | 10. A system configured to identify content items ordered based on microgenres of desired content items, the system comprising: a server comprising circuitry configured to: receive, from a client device of a user, through the user interfacing with a video consumption application that is executed at the client device, an input identifying a desired content item of a plurality of content items, wherein each content item of the plurality of content items is associated with: a respective genre that broadly characterizes the respective content item, a respective microgenre that, with respect to the respective genre, narrowly characterizes the respective content item, and a respective relevance value that indicates how relevant the respective content item is to the user; cause to be stored, at a database, an entry associated with a microgenre of the desired content item in a data structure associated with a profile of the user; identify, based on the profile of the user, a subset of the plurality of content items, wherein the respective microgenre associated with each content item of the subset comprises the microgenre of the desired content item; increase the respective relevance value associated with each content item of the subset; rank each content item of the plurality of content items in an order reflecting the respective relevance value associated with each content item of the plurality of content items; and cause the client device to, using the video consumption application, generate a display based on the order. | 10. A system configured to identify content items ordered based on microgenres of desired content items, the system comprising: a server comprising circuitry configured to: receive, from a client device of a user, through the user interfacing with a video consumption application that is executed at the client device, an input identifying a desired content item of a plurality of content items, wherein each content item of the plurality of content items is associated with: a respective genre that broadly characterizes the respective content item, a respective microgenre that, with respect to the respective genre, narrowly characterizes the respective content item, and a respective relevance value that indicates how relevant the respective content item is to the user; cause to be stored, at a database, an entry associated with a microgenre of the desired content item in a data structure associated with a profile of the user; identify, based on the profile of the user, a subset of the plurality of content items, wherein the respective microgenre associated with each content item of the subset comprises the microgenre of the desired content item; increase the respective relevance value associated with each content item of the subset; rank each content item of the plurality of content items in an order reflecting the respective relevance value associated with each content item of the plurality of content items; and cause the client device to, using the video consumption application, generate a display based on the order. 14. The system of claim 10 , wherein the circuitry of the server is further configured to: determine an elapsed time by computing a difference between a time that the entry was modified and a present time; compare the elapsed time to a threshold time to determine whether the elapsed time is greater than the threshold time; and in response to determining, based on the comparing, that the elapsed time is greater than the threshold time, modify the entry using a smoothing parameter. | 0.648766 |
9,858,920 | 1 | 4 | 1. An adaptation method for a speech system of a vehicle, comprising: receiving, by a processor, a first set of speech data recorded during a defined speech window, wherein the defined speech window begins once a system prompt has completed and ends at a predetermined time after the defined speech window begins; receiving, by a processor, a second set of speech data, wherein the second set of speech data comprises data recorded during the defined speech window and at least one of data recorded before the defined speech window and data recorded after the defined speech window; determining, by the processor, a speech pace based on the second set of speech data; determining, by the processor, a user model based on the speech pace; and generating, by the processor, adaptation parameters for processing the first set of speech data by at least one of a speech recognition system and a dialog manager based on the user model. | 1. An adaptation method for a speech system of a vehicle, comprising: receiving, by a processor, a first set of speech data recorded during a defined speech window, wherein the defined speech window begins once a system prompt has completed and ends at a predetermined time after the defined speech window begins; receiving, by a processor, a second set of speech data, wherein the second set of speech data comprises data recorded during the defined speech window and at least one of data recorded before the defined speech window and data recorded after the defined speech window; determining, by the processor, a speech pace based on the second set of speech data; determining, by the processor, a user model based on the speech pace; and generating, by the processor, adaptation parameters for processing the first set of speech data by at least one of a speech recognition system and a dialog manager based on the user model. 4. The method of claim 1 , wherein the determining the user model further comprises associating context data with the speech pace. | 0.753788 |
8,909,667 | 6 | 7 | 6. The method of claim 1 , wherein the recommendation scores are based on the candidate media items occurring within an analysis window. | 6. The method of claim 1 , wherein the recommendation scores are based on the candidate media items occurring within an analysis window. 7. The method of claim 6 , wherein the analysis window includes candidate media items occurring after a currently playing media item. | 0.904864 |
9,858,263 | 17 | 18 | 17. The system of claim 16 , further comprising a learning component which trains the neural network model on training data, the training data comprising training pairs, each training pair including a canonical form and a corresponding text sequence. | 17. The system of claim 16 , further comprising a learning component which trains the neural network model on training data, the training data comprising training pairs, each training pair including a canonical form and a corresponding text sequence. 18. The system of claim 17 , further comprising a querying component which queries a knowledge base with a query based on the logical form for retrieving responsive information. | 0.925505 |
7,801,759 | 18 | 19 | 18. A system for a selection of projects for an enterprise development, the system comprising: a memory component configured to store instructions defining an enterprise development process, the enterprise development process including strategic enterprise initiatives; a processor configured to the execute instructions to implement the enterprise development process and generate an output, the enterprise development process comprising: a definition component configured to define a development project, wherein the definition of the development project defines a plurality of attributes of the enterprise development project, wherein the plurality of attributes include at least one of the strategic enterprise initiatives with which the development project is aligned; a scoring component configured to calculate a quality level of the development project using an algorithm which changes upon changes to the strategic initiatives, wherein the quality level is calculated based on the plurality of attributes of the development project; a prioritization component configured to assign priority to the development project, wherein the prioritization component is further configured to create a priority list graphical user interface of a plurality of development projects with a corresponding quality level and priority associated with each of the plurality of development projects, and wherein the prioritization component is configured to create the priority list with the development project and the quality level of the development project ordered in the priority list according to the priority assigned to the development project; an initiative mapping component that is configured responsive to selection to display an initiative screen that includes a plurality of rows with one of the plurality of development projects per row, wherein each row comprises a corresponding development project identification, development project quality level, and development project priority, wherein the plurality of rows include a row for the development project with the quality level of the development project and the assigned priority of the development project, and wherein the initiative mapping component groups the row for the development project with other rows of the plurality of rows based on the at least one of the strategic enterprise initiatives with which the development project is aligned; a selection component configured to defer one or more of the plurality of development projects and further to select one or more of the plurality of development projects for funding, wherein the selection of one or more of the plurality of development projects for funding is based on the quality level and the priority of the plurality of development projects; and a final evaluation component to manually approve the one or more of the plurality of development projects selected by the selection component. | 18. A system for a selection of projects for an enterprise development, the system comprising: a memory component configured to store instructions defining an enterprise development process, the enterprise development process including strategic enterprise initiatives; a processor configured to the execute instructions to implement the enterprise development process and generate an output, the enterprise development process comprising: a definition component configured to define a development project, wherein the definition of the development project defines a plurality of attributes of the enterprise development project, wherein the plurality of attributes include at least one of the strategic enterprise initiatives with which the development project is aligned; a scoring component configured to calculate a quality level of the development project using an algorithm which changes upon changes to the strategic initiatives, wherein the quality level is calculated based on the plurality of attributes of the development project; a prioritization component configured to assign priority to the development project, wherein the prioritization component is further configured to create a priority list graphical user interface of a plurality of development projects with a corresponding quality level and priority associated with each of the plurality of development projects, and wherein the prioritization component is configured to create the priority list with the development project and the quality level of the development project ordered in the priority list according to the priority assigned to the development project; an initiative mapping component that is configured responsive to selection to display an initiative screen that includes a plurality of rows with one of the plurality of development projects per row, wherein each row comprises a corresponding development project identification, development project quality level, and development project priority, wherein the plurality of rows include a row for the development project with the quality level of the development project and the assigned priority of the development project, and wherein the initiative mapping component groups the row for the development project with other rows of the plurality of rows based on the at least one of the strategic enterprise initiatives with which the development project is aligned; a selection component configured to defer one or more of the plurality of development projects and further to select one or more of the plurality of development projects for funding, wherein the selection of one or more of the plurality of development projects for funding is based on the quality level and the priority of the plurality of development projects; and a final evaluation component to manually approve the one or more of the plurality of development projects selected by the selection component. 19. The system of claim 18 wherein the prioritization component is further configured to create the priority list with the development project and the priority of the development project ordered in the priority list according to the quality level calculated for the development project. | 0.836197 |
9,626,963 | 6 | 8 | 6. A method comprising: recording sounds using a single microphone; identifying, using one or more processors, potential output words and phonemes as well as ambient sounds in the sounds recorded by the single microphone; identifying that the ambient sounds are of a particular type by comparing the ambient sounds to stored waveforms; selecting a dictionary based on the identified particular type of ambient sounds; identifying, as contextual information, terms related to the identified particular type of ambient sounds based on identification of the identified particular type of ambient sounds, the terms being generated as contextual information; assigning, in the dictionary, score values to the terms related to the identified particular type of ambient sounds based on identifying that the terms are related to the identified particular type of ambient sounds; and analyzing user speech by comparing each potential output word or phoneme in the user speech to waveforms stored for the dictionary to attempt to match the potential output word or phoneme to a waveform corresponding to a particular word or phoneme in the dictionary, the analyzing varying based on the assigned scores to the terms identified as contextual information. | 6. A method comprising: recording sounds using a single microphone; identifying, using one or more processors, potential output words and phonemes as well as ambient sounds in the sounds recorded by the single microphone; identifying that the ambient sounds are of a particular type by comparing the ambient sounds to stored waveforms; selecting a dictionary based on the identified particular type of ambient sounds; identifying, as contextual information, terms related to the identified particular type of ambient sounds based on identification of the identified particular type of ambient sounds, the terms being generated as contextual information; assigning, in the dictionary, score values to the terms related to the identified particular type of ambient sounds based on identifying that the terms are related to the identified particular type of ambient sounds; and analyzing user speech by comparing each potential output word or phoneme in the user speech to waveforms stored for the dictionary to attempt to match the potential output word or phoneme to a waveform corresponding to a particular word or phoneme in the dictionary, the analyzing varying based on the assigned scores to the terms identified as contextual information. 8. The method of claim 6 , wherein the contextual information includes speed of movement of a user. | 0.909341 |
9,263,022 | 2 | 8 | 2. The method of claim 1 wherein consecutive syllables of a common word are separated from each other by a hyphen. | 2. The method of claim 1 wherein consecutive syllables of a common word are separated from each other by a hyphen. 8. An engraved media produced by the method of claim 2 . | 0.979442 |
8,335,984 | 1 | 5 | 1. An information processing apparatus that generates print data for variable-data printing by applying internal data to a variable-data printing document, the information processing apparatus comprising: a markup language data structure display unit constructed to read markup language data structure information, and to display a structure of the markup language data; a record level candidate element display unit constructed to emphatically display a repeatable element as a candidate of a record level element used as a record level that indicates a record unit by the markup language data structure display unit; a record level element designation acceptance unit constructed to accept, from a user, a designation of a record level element from a plurality of candidates displayed emphatically by the record level candidate element display unit; a primary key designation acceptance unit constructed to accept a designation of a primary key for each unit based on the record level element; a field reference name acceptance unit constructed to accept a designation of a field reference name for each unit based on the record level element; a memory for storing computer-executable process steps; at least one processor for executing the computer-executable process steps stored in the memory, such that when the computer-executable process steps are executed the at least one processor is operable to function as: a variable portion association unit constructed to associate a field reference name designated by the field reference name acceptance unit with a variable portion within a document; a markup language data structure conversion unit constructed to convert the record level element so as to have a structure of the internal data; and a print data generation unit constructed to generate print data for variable-data print, using the data structure converted by the markup language data structure conversion unit, by applying data for each unit based on the record level element to the variable portion within a document associated by the variable portion association unit, wherein the markup language data structure conversion unit converts the record level element for each unit based on the record level element designated by the record level element designation acceptance unit in order to perform a generation in accordance with a user's intent by the variable data generation unit. | 1. An information processing apparatus that generates print data for variable-data printing by applying internal data to a variable-data printing document, the information processing apparatus comprising: a markup language data structure display unit constructed to read markup language data structure information, and to display a structure of the markup language data; a record level candidate element display unit constructed to emphatically display a repeatable element as a candidate of a record level element used as a record level that indicates a record unit by the markup language data structure display unit; a record level element designation acceptance unit constructed to accept, from a user, a designation of a record level element from a plurality of candidates displayed emphatically by the record level candidate element display unit; a primary key designation acceptance unit constructed to accept a designation of a primary key for each unit based on the record level element; a field reference name acceptance unit constructed to accept a designation of a field reference name for each unit based on the record level element; a memory for storing computer-executable process steps; at least one processor for executing the computer-executable process steps stored in the memory, such that when the computer-executable process steps are executed the at least one processor is operable to function as: a variable portion association unit constructed to associate a field reference name designated by the field reference name acceptance unit with a variable portion within a document; a markup language data structure conversion unit constructed to convert the record level element so as to have a structure of the internal data; and a print data generation unit constructed to generate print data for variable-data print, using the data structure converted by the markup language data structure conversion unit, by applying data for each unit based on the record level element to the variable portion within a document associated by the variable portion association unit, wherein the markup language data structure conversion unit converts the record level element for each unit based on the record level element designated by the record level element designation acceptance unit in order to perform a generation in accordance with a user's intent by the variable data generation unit. 5. The information processing apparatus according to claim 1 , wherein the markup language data structure display unit further includes an unlimited repeating element determination unit constructed to determine whether an element is able to be repeated an unlimited times in the markup language data structure information; and an unlimited repeating element generation unit constructed to generate the element being able to be repeated the predetermined number of times as a virtual element newly for the element that is able to be repeated an unlimited times. | 0.682899 |
9,922,087 | 17 | 18 | 17. The computer-implemented system of claim 15 , wherein a structure element contains either a key figure and selections on multiple characteristics or a formula, wherein operands of the formula are other structure elements, and wherein the formula includes exception aggregation. | 17. The computer-implemented system of claim 15 , wherein a structure element contains either a key figure and selections on multiple characteristics or a formula, wherein operands of the formula are other structure elements, and wherein the formula includes exception aggregation. 18. The computer-implemented system of claim 17 , further configured to define a particular aggregation rule for a particular characteristic of the multiple characteristics. | 0.936162 |
7,779,396 | 11 | 12 | 11. A syntactic translation method, the method comprising the following computer implemented steps: obtaining syntax of a first program language; automatically matching syntax of a second program language to the first program language; generating a map of corresponding syntax, operations, and identifier names that are respectively associated with the first program language and the second program language; identifying from the map closest related syntax, operations, and identifier names between programmatic elements of the first program language and the second program language; translating programmatic code associated with the first program language to the second program language based in part on semantics defined by the second program language and the identified closest related syntax, operations, and identifier names from the map, wherein the translation includes copying verbatim a sub-component of the programmatic code that has a semantic meaning in the first program language that is different than a semantic meaning in the second program language such that the semantic meaning in the second program language is used to interpret the translated sub-component without preserving the semantic meaning of the first program language, and employing at least one of artificial intelligence or machine learning to assist with at least one of matching the syntax or translation of the second program language with the first program language. | 11. A syntactic translation method, the method comprising the following computer implemented steps: obtaining syntax of a first program language; automatically matching syntax of a second program language to the first program language; generating a map of corresponding syntax, operations, and identifier names that are respectively associated with the first program language and the second program language; identifying from the map closest related syntax, operations, and identifier names between programmatic elements of the first program language and the second program language; translating programmatic code associated with the first program language to the second program language based in part on semantics defined by the second program language and the identified closest related syntax, operations, and identifier names from the map, wherein the translation includes copying verbatim a sub-component of the programmatic code that has a semantic meaning in the first program language that is different than a semantic meaning in the second program language such that the semantic meaning in the second program language is used to interpret the translated sub-component without preserving the semantic meaning of the first program language, and employing at least one of artificial intelligence or machine learning to assist with at least one of matching the syntax or translation of the second program language with the first program language. 12. The method of claim 11 , further comprising obtaining context information and employing such information in generating the map. | 0.6725 |
8,117,022 | 1 | 2 | 1. A method operational in a processing device, comprising: inputting data into the processing device in a formal, naturalistic, speakable, hybrid language, wherein the formal, naturalistic, speakable, hybrid language is characterized by having a completely defined set of non-ambiguous grammar rules and excludes natural languages; parsing the input data at the processing device into an internal format in such a way that a memory of an original grammar structure present in the input data is retained; comparing the parsed input data with previously stored data in a data/knowledge base according to non-statistical, logic operations to prove, disprove or determine if the meaning of the parsed input data is plausible; storing results of the evaluation in the data/knowledge base, wherein the input data is obtained from a plurality of different users and the data/knowledge base stores knowledge while recognizing, maintaining, and storing distinct realities for different users; and in reply to a question, generating one of an auditory or visual response at the processing device in the formal, naturalistic, speakable, hybrid language based on accumulated knowledge of the data/knowledge base, wherein for the same question, a first auditory or visual response for a first user is contradictory to a second auditory or visual response for a second user if the first and second users have different realities. | 1. A method operational in a processing device, comprising: inputting data into the processing device in a formal, naturalistic, speakable, hybrid language, wherein the formal, naturalistic, speakable, hybrid language is characterized by having a completely defined set of non-ambiguous grammar rules and excludes natural languages; parsing the input data at the processing device into an internal format in such a way that a memory of an original grammar structure present in the input data is retained; comparing the parsed input data with previously stored data in a data/knowledge base according to non-statistical, logic operations to prove, disprove or determine if the meaning of the parsed input data is plausible; storing results of the evaluation in the data/knowledge base, wherein the input data is obtained from a plurality of different users and the data/knowledge base stores knowledge while recognizing, maintaining, and storing distinct realities for different users; and in reply to a question, generating one of an auditory or visual response at the processing device in the formal, naturalistic, speakable, hybrid language based on accumulated knowledge of the data/knowledge base, wherein for the same question, a first auditory or visual response for a first user is contradictory to a second auditory or visual response for a second user if the first and second users have different realities. 2. The method of claim 1 , wherein the formal, naturalistic, speakable, hybrid language is understood by speakers of a corresponding natural language having ambiguous grammar rules. | 0.804113 |
7,814,054 | 12 | 17 | 12. A computer implemented method for managing objects using predetermined master commands, the computer system comprising the steps of: (a) providing a first source application; (b) associating a first object type with said first source application; (c) associating a first object with said first object type; (d) associating a first graphic with said first object type within said first source application; (e) associating a first source operation with said first source application; (f) associating a first source command with said first source operation; (g) providing a second source application; (h) associating a second object type with said second source application; (i) associating a second object with said second object type; (j) associating a second graphic with said second object type within said second source application; (k) associating a second source operation with said second source application; (l) associating a second source command with said second source operation; (m) associating a master application with said first source application and with said second source application; (n) associating a first predetermined command with said master application; (o) associating a second predetermined command with said master application; (p) associating a input device with said master application; (q) associating a display with said master application; (r) requesting a first source operations list from said first source application; (s) wherein said first source operations list comprises first information relating to said first source operation and said first graphic; (t) providing said first source operations list from said first source application to said master application; (u) displaying said first graphic in association with said first object on said display; (v) requesting a second source operations list from said second source application; (w) wherein said second source operations list comprises second information relating to said second source operation and said second graphic; (x) providing said second source operations list from said second source application to said master application; (y) displaying said second graphic in association with said second object on said display; (z) selecting said first object with said user feedback device; (aa) displaying said first source command on said display in response to said selecting said first object and said first predetermined command with said user feedback device; (bb) executing said first source operation on said first object in response to said selecting said first object and said first predetermined command with said user feedback device; (cc) selecting said second object with said user feedback device and said second predetermined command; (dd) displaying said second source command on said display in response to said selecting said second object and said second predetermined command with said user feedback device; and (ee) executing said second source command on said second object in response to said selecting said second object and said second predetermined command with said user feedback device. | 12. A computer implemented method for managing objects using predetermined master commands, the computer system comprising the steps of: (a) providing a first source application; (b) associating a first object type with said first source application; (c) associating a first object with said first object type; (d) associating a first graphic with said first object type within said first source application; (e) associating a first source operation with said first source application; (f) associating a first source command with said first source operation; (g) providing a second source application; (h) associating a second object type with said second source application; (i) associating a second object with said second object type; (j) associating a second graphic with said second object type within said second source application; (k) associating a second source operation with said second source application; (l) associating a second source command with said second source operation; (m) associating a master application with said first source application and with said second source application; (n) associating a first predetermined command with said master application; (o) associating a second predetermined command with said master application; (p) associating a input device with said master application; (q) associating a display with said master application; (r) requesting a first source operations list from said first source application; (s) wherein said first source operations list comprises first information relating to said first source operation and said first graphic; (t) providing said first source operations list from said first source application to said master application; (u) displaying said first graphic in association with said first object on said display; (v) requesting a second source operations list from said second source application; (w) wherein said second source operations list comprises second information relating to said second source operation and said second graphic; (x) providing said second source operations list from said second source application to said master application; (y) displaying said second graphic in association with said second object on said display; (z) selecting said first object with said user feedback device; (aa) displaying said first source command on said display in response to said selecting said first object and said first predetermined command with said user feedback device; (bb) executing said first source operation on said first object in response to said selecting said first object and said first predetermined command with said user feedback device; (cc) selecting said second object with said user feedback device and said second predetermined command; (dd) displaying said second source command on said display in response to said selecting said second object and said second predetermined command with said user feedback device; and (ee) executing said second source command on said second object in response to said selecting said second object and said second predetermined command with said user feedback device. 17. The computer implemented method of claim 12 , wherein said first graphic is an icon. | 0.906977 |
8,468,122 | 19 | 20 | 19. The method of claim 17 wherein the at least one natural translation object translated the natural language question by generation of at least one sub-string from a string of text corresponding to the natural language question, and selection of at least one of a plurality of query template components corresponding to the at least one sub-string. | 19. The method of claim 17 wherein the at least one natural translation object translated the natural language question by generation of at least one sub-string from a string of text corresponding to the natural language question, and selection of at least one of a plurality of query template components corresponding to the at least one sub-string. 20. The method of claim 19 wherein the at least one natural translation object further translated the natural language question by substitution of the selected query template components into variables associated with a query generator. | 0.925302 |
9,997,156 | 1 | 4 | 1. A method of facilitating construction of a voice dialog interface comprising: providing an electronic system, the electronic system comprising a storage device, a speech recognizer, a microphone, a speech synthesizer, a controller and an electronic development board, the electronic development board comprising a so-called Arduino-compatible circuit development board; storing a library of programming interfaces for constructing the voice dialog interface in the storage device, the library of programming interfaces being configured to specify at least one of a call-sign and at least one command, each of the call-sign and the at least one command being specified in textual form, each of the call-sign and the at least one command comprising a plurality of words; training the speech recognizer based on at least one of the call-sign and the at least one command; receiving, by the microphone, a speech input comprising a vocal representation of at least one of the call-sign and the at least one command, recognition of the speech input being performed by using the speech recognizer, a temporal alignment of the plurality of words being prioritized during the recognition; and performing, by the controller, at least one action associated with the at least one command based on recognizing the speech input, the at least one action comprising a verbal response provided by the speech synthesizer. | 1. A method of facilitating construction of a voice dialog interface comprising: providing an electronic system, the electronic system comprising a storage device, a speech recognizer, a microphone, a speech synthesizer, a controller and an electronic development board, the electronic development board comprising a so-called Arduino-compatible circuit development board; storing a library of programming interfaces for constructing the voice dialog interface in the storage device, the library of programming interfaces being configured to specify at least one of a call-sign and at least one command, each of the call-sign and the at least one command being specified in textual form, each of the call-sign and the at least one command comprising a plurality of words; training the speech recognizer based on at least one of the call-sign and the at least one command; receiving, by the microphone, a speech input comprising a vocal representation of at least one of the call-sign and the at least one command, recognition of the speech input being performed by using the speech recognizer, a temporal alignment of the plurality of words being prioritized during the recognition; and performing, by the controller, at least one action associated with the at least one command based on recognizing the speech input, the at least one action comprising a verbal response provided by the speech synthesizer. 4. The method of claim 1 , wherein the training comprising: constructing at least one phoneme sequence based on each of the call-sign and the at least one command; and creating a first temporal model based on the at least one phoneme sequence, wherein the first temporal model is configured to recognize only words that are part of at least one of the call-sign and the at least one command. | 0.501276 |
8,176,119 | 7 | 10 | 7. A computer-implemented method comprising: using a processor to provide a content object from a first source; providing a content viewer readable code component from a second source different from the first source, the content viewer readable code component including dynamically selectable characteristics, the content viewer readable code component being useable with a plurality of different content viewers; combining the content viewer readable code component into the content object; serving the combined content object to a user system; and changing a portion of the content object upon execution of the content viewer readable code component at the user system without altering the remainder of the content object. | 7. A computer-implemented method comprising: using a processor to provide a content object from a first source; providing a content viewer readable code component from a second source different from the first source, the content viewer readable code component including dynamically selectable characteristics, the content viewer readable code component being useable with a plurality of different content viewers; combining the content viewer readable code component into the content object; serving the combined content object to a user system; and changing a portion of the content object upon execution of the content viewer readable code component at the user system without altering the remainder of the content object. 10. The method as claimed in claim 7 wherein the portion of the content object changed upon execution of the content viewer readable code component includes a video clip. | 0.724919 |
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