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1. A method of assembling a document comprising: generating a set of candidate content items by selecting a plurality of content items from a computer-readable storage medium based on one or more content rules, wherein each of the content items has an associated financial cost; selecting a set of production criteria for printing the candidate content items, wherein each of the production criteria has an associated financial cost; automatically applying an inclusion constraint to the set of production criteria, wherein the inclusion constraint comprises a maximum total cost, and wherein applying the inclusion constraint comprises: summing the financial costs associated with each candidate content item and each production criteria to yield a total cost, and comparing the total cost to the maximum total cost; if the set of production criteria does not satisfy the inclusion constraint, resolving a conflict by: identifying one or more production criteria in the set that may be modified, receiving a user selection of one or more of the production criteria that may be modified, and modifying the identified production criteria according to the user selection; identifying a plurality of non-selected content items from the computer-readable storage medium; automatically applying an exclusion constraint to the plurality of non-selected content items to identify one or more of the non-selected content items that satisfy the exclusion constraint; creating a document that includes the modified production criteria, the candidate content items, and the non-selected content items that were not identified as satisfying the exclusion constraint; and publishing the document. | 1. A method of assembling a document comprising: generating a set of candidate content items by selecting a plurality of content items from a computer-readable storage medium based on one or more content rules, wherein each of the content items has an associated financial cost; selecting a set of production criteria for printing the candidate content items, wherein each of the production criteria has an associated financial cost; automatically applying an inclusion constraint to the set of production criteria, wherein the inclusion constraint comprises a maximum total cost, and wherein applying the inclusion constraint comprises: summing the financial costs associated with each candidate content item and each production criteria to yield a total cost, and comparing the total cost to the maximum total cost; if the set of production criteria does not satisfy the inclusion constraint, resolving a conflict by: identifying one or more production criteria in the set that may be modified, receiving a user selection of one or more of the production criteria that may be modified, and modifying the identified production criteria according to the user selection; identifying a plurality of non-selected content items from the computer-readable storage medium; automatically applying an exclusion constraint to the plurality of non-selected content items to identify one or more of the non-selected content items that satisfy the exclusion constraint; creating a document that includes the modified production criteria, the candidate content items, and the non-selected content items that were not identified as satisfying the exclusion constraint; and publishing the document. 6. The method of claim 1 wherein creating the document comprises ordering the candidate content items based on one or more of the following: date of publication of the content item, time-stamping the content item, user-defined order, alphabetizing by title, alphabetizing by topic, and alphabetizing by author's name. | 0.5 |
15. A computer system for controlling user interface properties with data, the computer system comprising: a processor; and a memory, the memory being allocated for a plurality of computer-executable instructions which are loaded into the memory for execution by the process, the computer-executable instructions performing a method comprising: creating a binding in an application that comprises a user interface portion that includes user interface elements that each comprise one or more target properties and a logic portion that is configured to manipulate source data values; wherein the binding associates a target property that is associated with the user interface portion with a source data value; creating a binding object that is associated with the binding that comprises binding properties comprising: a path indicating a manner in which to locate the source data value, a binding type that defines a type of binding that comprises a one way binding type used to bind the source data value to a non-editable target property, a two way binding type used to bind the source data value to an editable target property; and update type that specifies when updates are to occur to the target property and a culture property that specifies a format to apply to the source data value, wherein based on the culture property, rules for transforming the source data value are specified; and upon receiving a notification that the source data value has undergone a change, reflecting the change in the target property based on the binding, wherein the notification is received based on a selected binding type. | 15. A computer system for controlling user interface properties with data, the computer system comprising: a processor; and a memory, the memory being allocated for a plurality of computer-executable instructions which are loaded into the memory for execution by the process, the computer-executable instructions performing a method comprising: creating a binding in an application that comprises a user interface portion that includes user interface elements that each comprise one or more target properties and a logic portion that is configured to manipulate source data values; wherein the binding associates a target property that is associated with the user interface portion with a source data value; creating a binding object that is associated with the binding that comprises binding properties comprising: a path indicating a manner in which to locate the source data value, a binding type that defines a type of binding that comprises a one way binding type used to bind the source data value to a non-editable target property, a two way binding type used to bind the source data value to an editable target property; and update type that specifies when updates are to occur to the target property and a culture property that specifies a format to apply to the source data value, wherein based on the culture property, rules for transforming the source data value are specified; and upon receiving a notification that the source data value has undergone a change, reflecting the change in the target property based on the binding, wherein the notification is received based on a selected binding type. 17. The computer system of claim 15 , wherein creating the binding includes programmatically specifying a binding type for the binding. | 0.516884 |
11. The apparatus of claim 7 wherein clustering the device into a value level cluster based on the attribute value for each device attribute further comprises: calculating for each value level cluster, by the device clustering module, a similarity index between the device and all devices in the value level cluster; and assigning, by the device clustering module, the device to the value level cluster with the highest average similarity index. | 11. The apparatus of claim 7 wherein clustering the device into a value level cluster based on the attribute value for each device attribute further comprises: calculating for each value level cluster, by the device clustering module, a similarity index between the device and all devices in the value level cluster; and assigning, by the device clustering module, the device to the value level cluster with the highest average similarity index. 12. The apparatus of claim 11 wherein calculating for each value level cluster a similarity index between the device and all devices in the value level cluster further comprises: for each value level cluster: calculating, by the device clustering module, the similarity index between the device and each of the devices in the value level cluster; summing, by the device clustering module, the similarity index between the device and each of the devices in the value level cluster, thereby producing a similarity index sum; determining, by the device clustering module, the number of devices in the value level cluster; and dividing, by the device clustering module, the similarity index sum by the number of devices in the value level cluster. | 0.689111 |
13. A method for performing at least one action on one or more items in a search result, the method comprising: receiving a set of one or more items comprising the search result; receiving an action profile, the action profile defining at least one action to be performed on one or more of the items in the search result; assigning a first set of the one or more items to a first service provider queue resident on a first node of a cluster of node computers and a second set of the one or more items to a second provider queue resident on the first node, each service provider queue representing a specific action; assigning a third set of the one or more items to a third service provider queue resident on a second node of the cluster of node computers and a fourth set of the one or more items to a fourth provider queue resident on the second node, each service provider queue representing a specific action; retrieving the first, second, third and fourth sets of items from the first, second, third and fourth service provider queues; and performing, a first action on the first and third sets of items using the first service provider and a second action on the second and fourth sets of items using the second service provider, in accordance with one or more rules defined in the action profile. | 13. A method for performing at least one action on one or more items in a search result, the method comprising: receiving a set of one or more items comprising the search result; receiving an action profile, the action profile defining at least one action to be performed on one or more of the items in the search result; assigning a first set of the one or more items to a first service provider queue resident on a first node of a cluster of node computers and a second set of the one or more items to a second provider queue resident on the first node, each service provider queue representing a specific action; assigning a third set of the one or more items to a third service provider queue resident on a second node of the cluster of node computers and a fourth set of the one or more items to a fourth provider queue resident on the second node, each service provider queue representing a specific action; retrieving the first, second, third and fourth sets of items from the first, second, third and fourth service provider queues; and performing, a first action on the first and third sets of items using the first service provider and a second action on the second and fourth sets of items using the second service provider, in accordance with one or more rules defined in the action profile. 20. The method of claim 13 wherein the one or more rules pertain to duplicate versions of the one or more items in a filesystem or an email store. | 0.53324 |
43. A non-transitory computer-readable medium storing instructions executable by a computer system to facilitate transactions involving transaction phrase tokens comprising: token account interface instructions for selecting transaction phrase tokens, wherein: transaction phrase tokens are associated with transaction accounts via configuration information, wherein the configuration information comprises one or more rules for processing transactions related to goods or services, and the transaction phrase token consists of an unambiguous set of characters selected by a transaction phrase token holder associated with a token assignment request; and token processing instructions for: obtaining a request to complete a transaction related to a good or service, wherein: the request to complete the transaction corresponds to an identified transaction phrase token provided verbally or in writing by a transaction phrase token holder, and the configuration information associated with the identified transaction phrase token identifies a transaction account associated with the identified transaction phrase token based on a transaction account identifier distinct from the identified transaction phrase token, identifying a rule from the one or more rules included in the configuration information, wherein the identified rule is associated with the good or service related to the request; processing the request using the identified rule; sending an approval request to the transaction phrase token holder regarding the processed request; receiving a response to the approval request from the transaction phrase token holder; updating the identified rule based at least in part on the response to the approval request that is received from the transaction phrase token holder; and automatically accepting or rejecting a subsequent request to complete a transaction based at least in part on the updating of the identified rule. | 43. A non-transitory computer-readable medium storing instructions executable by a computer system to facilitate transactions involving transaction phrase tokens comprising: token account interface instructions for selecting transaction phrase tokens, wherein: transaction phrase tokens are associated with transaction accounts via configuration information, wherein the configuration information comprises one or more rules for processing transactions related to goods or services, and the transaction phrase token consists of an unambiguous set of characters selected by a transaction phrase token holder associated with a token assignment request; and token processing instructions for: obtaining a request to complete a transaction related to a good or service, wherein: the request to complete the transaction corresponds to an identified transaction phrase token provided verbally or in writing by a transaction phrase token holder, and the configuration information associated with the identified transaction phrase token identifies a transaction account associated with the identified transaction phrase token based on a transaction account identifier distinct from the identified transaction phrase token, identifying a rule from the one or more rules included in the configuration information, wherein the identified rule is associated with the good or service related to the request; processing the request using the identified rule; sending an approval request to the transaction phrase token holder regarding the processed request; receiving a response to the approval request from the transaction phrase token holder; updating the identified rule based at least in part on the response to the approval request that is received from the transaction phrase token holder; and automatically accepting or rejecting a subsequent request to complete a transaction based at least in part on the updating of the identified rule. 47. The computer-readable medium as recited in claim 43 , wherein processing the transaction request in accordance with configuration information associated with the identified transaction phrase token includes not completing the transaction upon receipt of a rejection by the transmitting party. | 0.61413 |
1. An apparatus for emotion recognition, the apparatus comprising a processor that comprises: a frame parameter generator configured to detect a plurality of unit frames from an input speech and to generate a parameter vector for each of the unit frames; a key-frame selector configured to select a unit frame as a key frame among the plurality of unit frames; an emotion-probability calculator configured to calculate an emotion probability of the selected key frame; and an emotion determiner configured to determine an emotion of a speaker based on the calculated emotion probability, wherein the key-frame selector is configured to select a unit frame with a lower probability of presence than a predetermined fraction of the plurality of unit frames as the key frame, and wherein the emotion-probability calculator is configured to calculate the emotion probability by extracting a global feature from the selected key frame and classifying an emotion of the speaker into at least one of predefined emotion categories using a support vector machine (SVM) mechanism and the global feature, or by classifying an emotion of the speaker into at least one emotion category that corresponds to a generative model that is capable of generating a largest number of parameter vectors same as or similar to those of the key frames, wherein the generative model is one of Gaussian Mixture Model (GMM) and Hidden Markov Model (HMM), which are obtained from learning each emotion category. | 1. An apparatus for emotion recognition, the apparatus comprising a processor that comprises: a frame parameter generator configured to detect a plurality of unit frames from an input speech and to generate a parameter vector for each of the unit frames; a key-frame selector configured to select a unit frame as a key frame among the plurality of unit frames; an emotion-probability calculator configured to calculate an emotion probability of the selected key frame; and an emotion determiner configured to determine an emotion of a speaker based on the calculated emotion probability, wherein the key-frame selector is configured to select a unit frame with a lower probability of presence than a predetermined fraction of the plurality of unit frames as the key frame, and wherein the emotion-probability calculator is configured to calculate the emotion probability by extracting a global feature from the selected key frame and classifying an emotion of the speaker into at least one of predefined emotion categories using a support vector machine (SVM) mechanism and the global feature, or by classifying an emotion of the speaker into at least one emotion category that corresponds to a generative model that is capable of generating a largest number of parameter vectors same as or similar to those of the key frames, wherein the generative model is one of Gaussian Mixture Model (GMM) and Hidden Markov Model (HMM), which are obtained from learning each emotion category. 2. The apparatus of claim 1 , wherein the key-frame selector is configured to select the key frame according to a probability of occurrence within the plurality of unit frames, wherein the probability of occurrence indicates a number of unit frames among the plurality of unit frames having a similar parameter vector to a key parameter vector of the key frame. | 0.655643 |
15. The system of claim 12 , wherein using the user input to inform future selections of pairs of candidate scoring functions from the group of candidate scoring functions comprises: generating a ranking for the candidate scoring functions in the group based at least in part on the user input; and selecting, for evaluation by one or more other users, one or more candidate scoring functions in the group based at least in part on the ranking for the candidate scoring functions in the group. | 15. The system of claim 12 , wherein using the user input to inform future selections of pairs of candidate scoring functions from the group of candidate scoring functions comprises: generating a ranking for the candidate scoring functions in the group based at least in part on the user input; and selecting, for evaluation by one or more other users, one or more candidate scoring functions in the group based at least in part on the ranking for the candidate scoring functions in the group. 16. The system of claim 15 , wherein the operations comprise: receiving a second query; selecting a third candidate scoring function and a fourth candidate scoring function from a top number of scoring functions in the ranking for the candidate scoring functions in the group; presenting search results, which are responsive to the second query, ordered according to scores from the third candidate scoring function; presenting the search results, which are responsive to the second query, ordered according to scores from the fourth candidate scoring function; receiving second user input selecting one of the third and fourth candidate scoring functions over the other; and updating the ranking for the candidate scoring functions in the group based at least in part on the second user input. | 0.698509 |
9. An instructional globe according to claim 5 wherein said attachment means comprise a resilient rib around the peripheral edge of each spherical segment and a corresponding notch around the periphery of each cue, said rib being adapted to removably snap into said notch and to hold the spherical segment in place when the spherical segment is inserted in its corresponding cue. | 9. An instructional globe according to claim 5 wherein said attachment means comprise a resilient rib around the peripheral edge of each spherical segment and a corresponding notch around the periphery of each cue, said rib being adapted to removably snap into said notch and to hold the spherical segment in place when the spherical segment is inserted in its corresponding cue. 10. An instructional globe according to claim 9 wherein said attachment means comprise a notch around the peripheral edge of each spherical segment and a corresponding rib around the periphery of each due, said notch being adapted to snap over said rib and to hold the spherical segment in place when the spherical segment is inserted in its corresponding cue. | 0.812675 |
1. A method for compressing an input ensemble of a plurality of messages from an alphabet of messages into a compressed output ensemble, the method comprising the steps of: assigning a mapping of the messages in the alphabet of messages to a plurality of codewords to create a mapping table; maintaining a dictionary of codewords generated from the mapping of two output codewords; reading the input ensemble of messages; converting each read message to an input codeword (c in ) based on the mapping table, wherein the converting step includes converting each read message to an input codeword based on the dictionary codewords; and outputting the converted codewords as a compressed output ensemble, wherein each output codeword is constructed only from one or more previously constructed output codewords. | 1. A method for compressing an input ensemble of a plurality of messages from an alphabet of messages into a compressed output ensemble, the method comprising the steps of: assigning a mapping of the messages in the alphabet of messages to a plurality of codewords to create a mapping table; maintaining a dictionary of codewords generated from the mapping of two output codewords; reading the input ensemble of messages; converting each read message to an input codeword (c in ) based on the mapping table, wherein the converting step includes converting each read message to an input codeword based on the dictionary codewords; and outputting the converted codewords as a compressed output ensemble, wherein each output codeword is constructed only from one or more previously constructed output codewords. 5. The method as recited in claim 1 , wherein the assigning step includes assigning a mapping of the messages in the alphabet of messages to a first plurality of codewords using a one-to-one mapping, and wherein the converting step includes remapping at least a portion of the first plurality of codewords into a second plurality of codewords, wherein the second plurality of codewords has a greater information entropy than the first plurality of codewords, and wherein the second plurality of codewords has a shorter length than the first plurality of codewords. | 0.860861 |
1. A computer program product for a search engine, the computer program product comprising: one or more computer-readable storage media and program instructions of the search engine stored on the one or more computer-readable storage media, the program instructions comprising: program instructions to receive a search expression; program instructions to extract, using a search term extractor of the search engine, two or more query terms of the search expression; program instructions to determine two or more nodes representing a first term of the two or more query terms and at least one node representing a second term of the two or more query terms, wherein the two or more nodes each have an associated text for search term expansion and represent at least one concept in a semantic graph of nodes that represents a domain of semantically related concepts; program instructions to determine a center of focus within the semantic graph for the two or more nodes based, at least in part, on a spreading activation in the semantic graph; program instructions to determine a contextual relevance for the two or more nodes with respect to the center of focus based, at least in part, on an assessment of semantic similarity for the two or more nodes with respect to the center of focus; program instructions to select for a query term, which is included in the two or more query terms of the search expression, at least one node from the two or more nodes based, at least in part, on a contextual relevance between the at least one node and the determined center of focus; program instructions to generate an expanded search expression by expanding the search expression using an associated text of the at least one node; and program instructions to generate, by the search engine, an output of search results by executing a search using the expanded search expression. | 1. A computer program product for a search engine, the computer program product comprising: one or more computer-readable storage media and program instructions of the search engine stored on the one or more computer-readable storage media, the program instructions comprising: program instructions to receive a search expression; program instructions to extract, using a search term extractor of the search engine, two or more query terms of the search expression; program instructions to determine two or more nodes representing a first term of the two or more query terms and at least one node representing a second term of the two or more query terms, wherein the two or more nodes each have an associated text for search term expansion and represent at least one concept in a semantic graph of nodes that represents a domain of semantically related concepts; program instructions to determine a center of focus within the semantic graph for the two or more nodes based, at least in part, on a spreading activation in the semantic graph; program instructions to determine a contextual relevance for the two or more nodes with respect to the center of focus based, at least in part, on an assessment of semantic similarity for the two or more nodes with respect to the center of focus; program instructions to select for a query term, which is included in the two or more query terms of the search expression, at least one node from the two or more nodes based, at least in part, on a contextual relevance between the at least one node and the determined center of focus; program instructions to generate an expanded search expression by expanding the search expression using an associated text of the at least one node; and program instructions to generate, by the search engine, an output of search results by executing a search using the expanded search expression. 4. The computer program product according to claim 1 , the program instructions comprising: program instructions to configure the spreading activation such that a balance between over-connected and under-connected nodes is generated. | 0.810373 |
1. A method for relaying contextually relevant actions, the method comprising: accessing a communication between a first user and a second user; identifying at least one entity within the communication; predicting at least one contextually relevant action associated with the at least one entity, wherein predicting the at least one contextually relevant action comprises: identifying at least one relevant action associated with the identified entity; accessing a database of historical trends and activities of actions taken with respect to the identified entity; identifying amplifying words within the communication; computing a correlation between the identified relevant action, the historical trends and activities, and identified amplifying words; and determining an hierarchy of contextually relevant actions as a function of the computed correlation; selecting at least one contextually relevant action from the hierarchy of contextually relevant actions; and delivering the selected contextually relevant action to at least the second user. | 1. A method for relaying contextually relevant actions, the method comprising: accessing a communication between a first user and a second user; identifying at least one entity within the communication; predicting at least one contextually relevant action associated with the at least one entity, wherein predicting the at least one contextually relevant action comprises: identifying at least one relevant action associated with the identified entity; accessing a database of historical trends and activities of actions taken with respect to the identified entity; identifying amplifying words within the communication; computing a correlation between the identified relevant action, the historical trends and activities, and identified amplifying words; and determining an hierarchy of contextually relevant actions as a function of the computed correlation; selecting at least one contextually relevant action from the hierarchy of contextually relevant actions; and delivering the selected contextually relevant action to at least the second user. 2. The method of claim 1 , wherein the communication accessed between first user and second user is a visual communication. | 0.620764 |
1. A method comprising: receiving, by a social networking computer system, an advertisement request from an advertiser to advertise using a social networking system; identifying an indication in the advertisement request of an action on an object, the action selectable by the advertiser from a plurality of actions on objects provided to the advertiser by the social networking computer system; identifying an indication in the advertisement request for providing a message to a viewing user that another user connected to the viewing user in the social networking system has performed the indicated action; determining, by the social networking computer system, that the identified action was taken on the object by another user connected to the viewing user; receiving, at the social networking computer system from a client device of the viewing user, a request for social networking information to be displayed in a web page that is within a domain of an external system that is different from a domain of the social networking system; selecting, by the social networking computer system, a story for the viewing user for display on the client device as a social advertisement, wherein: the story is sponsored by an advertiser and is based on the advertisement request received by the social networking computer system, and the story comprises information about the identified action taken on the object by the other user; and sending, by the social networking computer system, the social advertisement to the client device for displaying in the web page of the external system. | 1. A method comprising: receiving, by a social networking computer system, an advertisement request from an advertiser to advertise using a social networking system; identifying an indication in the advertisement request of an action on an object, the action selectable by the advertiser from a plurality of actions on objects provided to the advertiser by the social networking computer system; identifying an indication in the advertisement request for providing a message to a viewing user that another user connected to the viewing user in the social networking system has performed the indicated action; determining, by the social networking computer system, that the identified action was taken on the object by another user connected to the viewing user; receiving, at the social networking computer system from a client device of the viewing user, a request for social networking information to be displayed in a web page that is within a domain of an external system that is different from a domain of the social networking system; selecting, by the social networking computer system, a story for the viewing user for display on the client device as a social advertisement, wherein: the story is sponsored by an advertiser and is based on the advertisement request received by the social networking computer system, and the story comprises information about the identified action taken on the object by the other user; and sending, by the social networking computer system, the social advertisement to the client device for displaying in the web page of the external system. 4. The method of claim 1 , wherein the sent social advertisement comprises information related to actions taken by the other user outside of the social networking system. | 0.623658 |
9. A method comprising: receiving a first address associated with a first page from a calling page having a particular page color; setting the effective current page color of the first page equal to the particular page color of the calling page in response to receiving the first address; comparing an effective current page color of a first page to a color of a second page; and allowing an instruction from the first page to access the second page if the effective current page color of the first page is the same as the color of the second page. | 9. A method comprising: receiving a first address associated with a first page from a calling page having a particular page color; setting the effective current page color of the first page equal to the particular page color of the calling page in response to receiving the first address; comparing an effective current page color of a first page to a color of a second page; and allowing an instruction from the first page to access the second page if the effective current page color of the first page is the same as the color of the second page. 11. The method of claim 9 , further comprising referencing a page table to find the color of the second page. | 0.810997 |
11. A system comprising: a non-transitory computer readable medium having instructions stored thereon; and a data processing apparatus configured to execute the instructions to perform operations comprising: receiving one or more user-defined emoticons provided by a first user, each user-defined emoticon comprising a visual representation of the emoticon and being associated with a respective first sentiment; receiving text authored by a second user; determining a second sentiment of the text; identifying one of the user-defined emoticons as a candidate for insertion into the second text based on, at least, a score indicating relevance between the respective first sentiment of the candidate emoticon and the second sentiment; providing the candidate user-defined emoticon for selection by the second user; receiving selection of the candidate user-defined emoticon by the second user; and inserting the selected user-defined emoticon into the text. | 11. A system comprising: a non-transitory computer readable medium having instructions stored thereon; and a data processing apparatus configured to execute the instructions to perform operations comprising: receiving one or more user-defined emoticons provided by a first user, each user-defined emoticon comprising a visual representation of the emoticon and being associated with a respective first sentiment; receiving text authored by a second user; determining a second sentiment of the text; identifying one of the user-defined emoticons as a candidate for insertion into the second text based on, at least, a score indicating relevance between the respective first sentiment of the candidate emoticon and the second sentiment; providing the candidate user-defined emoticon for selection by the second user; receiving selection of the candidate user-defined emoticon by the second user; and inserting the selected user-defined emoticon into the text. 19. The system of claim 11 , the operations further comprising providing statistics to the first user pertaining to use of the user-defined emoticons by other users. | 0.550045 |
1. An information providing apparatus for a vehicle comprising: a conversation input device which inputs conversation by an audio input or manual operation by a user on a vehicle; a conversation support device, which is made to perform as a user's false conversation partner, including: a reference-keyword dictionary storage memory which memorizes a reference-keyword dictionary, in which a plurality of reference keywords are registered; a reference-keyword extraction device for retrieving a reference keyword by comparing input contents of the conversation of the user with the reference-keyword dictionary; a response sentence model storage memory which memorizes a plurality of response sentence models with an insertion blank part, in which a retrieved reference keyword or another reference keyword preliminary linked to the retrieved reference keyword within the keyword dictionary is inserted as a leading keyword so as to lead a user's next conversation input; and a conversation-leading-response-sentence creating and outputting device for creating and outputting a conversation leading response sentence, which leads the next conversation input by the user, the conversation leading response sentence being created by inserting the leading keyword corresponding to the retrieved reference keyword into the insertion blank part of the response sentence model, which is selected in accordance with the reference keyword and retrieved in an orderly manner from the response sentence model storage memory at each time of input of the conversation input by the user; a base data accumulation device for determining a user interest, which accumulates base data for determining a user interest based on a series of conversation contents of the user inputted in response to leading of the conversation support device; a service information collecting device for analyzing an object of the user interest based on contents of the accumulated base data for determining the user interest, and for collecting service information which is matched with the analyzed object of the user interest; and a service information output device for outputting the collected service information in a form of an image, audio, or those combination, wherein the conversation support device has a conversation support base data which includes the reference keyword dictionary and the response sentence models, the conversation support base data having a plurality of base data sets, each of which has different content adapted to a predetermined conversation support scene, wherein the conversation support device further includes: a conversation support scene determining device for determining occurrence of one of the predetermined conversation support scenes, and a conversation support base data switching device for switching the base data sets of the conversation support base data in response to a determined conversation support scene, wherein the reference-keyword extraction device does not conduct a syntax analysis for determining modification relation and grammatical logic analysis for word arrangement, wherein the reference-keyword extraction device retrieves the reference keyword, which is a word matched in a character string with a certain reference keyword memorized in the reference-keyword dictionary storage memory, wherein the conversation support device is configured as a chatterbot engine, which performs only both of a character string matching by referencing the reference-keyword dictionary storage memory with using the reference-keyword extraction device, and insertion of the leading keyword into the response sentence model, which is memorized in the response sentence model storage memory, with using the conversation-leading-response-sentence creating and outputting device. | 1. An information providing apparatus for a vehicle comprising: a conversation input device which inputs conversation by an audio input or manual operation by a user on a vehicle; a conversation support device, which is made to perform as a user's false conversation partner, including: a reference-keyword dictionary storage memory which memorizes a reference-keyword dictionary, in which a plurality of reference keywords are registered; a reference-keyword extraction device for retrieving a reference keyword by comparing input contents of the conversation of the user with the reference-keyword dictionary; a response sentence model storage memory which memorizes a plurality of response sentence models with an insertion blank part, in which a retrieved reference keyword or another reference keyword preliminary linked to the retrieved reference keyword within the keyword dictionary is inserted as a leading keyword so as to lead a user's next conversation input; and a conversation-leading-response-sentence creating and outputting device for creating and outputting a conversation leading response sentence, which leads the next conversation input by the user, the conversation leading response sentence being created by inserting the leading keyword corresponding to the retrieved reference keyword into the insertion blank part of the response sentence model, which is selected in accordance with the reference keyword and retrieved in an orderly manner from the response sentence model storage memory at each time of input of the conversation input by the user; a base data accumulation device for determining a user interest, which accumulates base data for determining a user interest based on a series of conversation contents of the user inputted in response to leading of the conversation support device; a service information collecting device for analyzing an object of the user interest based on contents of the accumulated base data for determining the user interest, and for collecting service information which is matched with the analyzed object of the user interest; and a service information output device for outputting the collected service information in a form of an image, audio, or those combination, wherein the conversation support device has a conversation support base data which includes the reference keyword dictionary and the response sentence models, the conversation support base data having a plurality of base data sets, each of which has different content adapted to a predetermined conversation support scene, wherein the conversation support device further includes: a conversation support scene determining device for determining occurrence of one of the predetermined conversation support scenes, and a conversation support base data switching device for switching the base data sets of the conversation support base data in response to a determined conversation support scene, wherein the reference-keyword extraction device does not conduct a syntax analysis for determining modification relation and grammatical logic analysis for word arrangement, wherein the reference-keyword extraction device retrieves the reference keyword, which is a word matched in a character string with a certain reference keyword memorized in the reference-keyword dictionary storage memory, wherein the conversation support device is configured as a chatterbot engine, which performs only both of a character string matching by referencing the reference-keyword dictionary storage memory with using the reference-keyword extraction device, and insertion of the leading keyword into the response sentence model, which is memorized in the response sentence model storage memory, with using the conversation-leading-response-sentence creating and outputting device. 17. The information providing apparatus for the vehicle claimed in claim 1 , wherein the conversation support device includes a conversation leading device for performing conversation at the start-up scene with using the conversation support base data in order to pull out information about an user desired destination from the user. | 0.580764 |
13. A system, comprising: a memory unit for storing a computer program for providing accurate recipient lists; and a processor coupled to said memory unit, wherein said processor, responsive to said computer program, comprises: circuitry for identifying keywords in a document; circuitry for tagging said identified keywords in said document in response to receiving permission from a user to tag said identified keywords; circuitry for prompting said user to provide a list of recipients to be correlated with said tagged keywords; circuitry for receiving said list of recipients to be correlated with said tagged keywords; circuitry for associating said received list of recipients with said tagged keywords; and circuitry for identifying a second document containing said tagged keywords. | 13. A system, comprising: a memory unit for storing a computer program for providing accurate recipient lists; and a processor coupled to said memory unit, wherein said processor, responsive to said computer program, comprises: circuitry for identifying keywords in a document; circuitry for tagging said identified keywords in said document in response to receiving permission from a user to tag said identified keywords; circuitry for prompting said user to provide a list of recipients to be correlated with said tagged keywords; circuitry for receiving said list of recipients to be correlated with said tagged keywords; circuitry for associating said received list of recipients with said tagged keywords; and circuitry for identifying a second document containing said tagged keywords. 14. The system as recited in claim 13 , wherein said processor further comprises: circuitry for providing said list of recipients to said user in response to identifying said second document containing said tagged keywords. | 0.503431 |
16. A system comprising: a data store storing specific computer-executable instructions; and a computing device in communication with the data store, the computing device including a processor that executes the specific computer-executable instructions to cause the system to at least: receive, from a data capture device, data related to an item in a first configuration and a user; identify the first configuration of the item; detect, from the data related to the item in the first configuration and the user, indirect feedback of the user, wherein the indirect feedback is related to the item in the first configuration; identify a second configuration of the item using the indirect feedback and the first configuration of the item, wherein the first configuration of the item is different than the second configuration of the item; and cause an image of the item in the second configuration to be presented on a display. | 16. A system comprising: a data store storing specific computer-executable instructions; and a computing device in communication with the data store, the computing device including a processor that executes the specific computer-executable instructions to cause the system to at least: receive, from a data capture device, data related to an item in a first configuration and a user; identify the first configuration of the item; detect, from the data related to the item in the first configuration and the user, indirect feedback of the user, wherein the indirect feedback is related to the item in the first configuration; identify a second configuration of the item using the indirect feedback and the first configuration of the item, wherein the first configuration of the item is different than the second configuration of the item; and cause an image of the item in the second configuration to be presented on a display. 26. The system of claim 16 , wherein the processor executes specific computer-executable instructions to cause the system to at least identify the first configuration of the item by at least receiving a radio frequency signal including an identifier for the first configuration of the item. | 0.692354 |
1. A computer-implemented method of scoring non-native speech, comprising: receiving a speech sample spoken by a non-native speaker; performing automatic speech recognition on the speech sample to generate a transcript of the speech sample; processing the speech sample to generate a plurality of speech metrics associated with the speech sample; applying a plurality of non-scorable response filters to the plurality of speech metrics; determining whether the speech sample is scorable or non-scorable based upon the transcript and a collective application of said non-scorable response filters, wherein said determining is based on assessment of audio quality of the speech sample, an amount of speech of the speech sample, a degree to which the speech sample is off-topic, and whether the speech sample includes speech from an incorrect language; associating an indication of non-scorability with the speech sample when the sample is determined to be non-scorable; and providing the sample to a scoring model for scoring when the sample is determined to be scorable. | 1. A computer-implemented method of scoring non-native speech, comprising: receiving a speech sample spoken by a non-native speaker; performing automatic speech recognition on the speech sample to generate a transcript of the speech sample; processing the speech sample to generate a plurality of speech metrics associated with the speech sample; applying a plurality of non-scorable response filters to the plurality of speech metrics; determining whether the speech sample is scorable or non-scorable based upon the transcript and a collective application of said non-scorable response filters, wherein said determining is based on assessment of audio quality of the speech sample, an amount of speech of the speech sample, a degree to which the speech sample is off-topic, and whether the speech sample includes speech from an incorrect language; associating an indication of non-scorability with the speech sample when the sample is determined to be non-scorable; and providing the sample to a scoring model for scoring when the sample is determined to be scorable. 5. The method of claim 1 , wherein the non-scorable response filters include an audio-quality filter, an insufficient-speech filter, an off-topic-speech filter, and an incorrect-language filter. | 0.557737 |
7. A data processing system, comprising: a query engine; and a summary filter transformation system coupled to the query engine, wherein the summary filter transformation system is configured to: receive a query having a select list, a from element, and a summary filter having a filter condition; analyze the filter condition to determine a filter group of the filter condition, the filter group comprising a list of expressions over which the filter condition is computed; create a derived table for computing the filter condition, the derived table having a select list, creating the derived table comprising: adding the list of expressions of the filter group to the derived table as one or more columns of the derived table's select list; and adding the filter condition to the derived table as a one or more columns of the derived table's select list; transform the received query by combining the received query with the derived table, transforming the received query comprising: traverse the select list of the received query and transforming one or more aggregates of the select list to reference one or more of the columns of the derived table; transform the from element of the received query to reference the derived table; and add a WHERE clause to the transformed original query, the WHERE clause based on the filter condition and referencing one or more of the columns of the derived table. | 7. A data processing system, comprising: a query engine; and a summary filter transformation system coupled to the query engine, wherein the summary filter transformation system is configured to: receive a query having a select list, a from element, and a summary filter having a filter condition; analyze the filter condition to determine a filter group of the filter condition, the filter group comprising a list of expressions over which the filter condition is computed; create a derived table for computing the filter condition, the derived table having a select list, creating the derived table comprising: adding the list of expressions of the filter group to the derived table as one or more columns of the derived table's select list; and adding the filter condition to the derived table as a one or more columns of the derived table's select list; transform the received query by combining the received query with the derived table, transforming the received query comprising: traverse the select list of the received query and transforming one or more aggregates of the select list to reference one or more of the columns of the derived table; transform the from element of the received query to reference the derived table; and add a WHERE clause to the transformed original query, the WHERE clause based on the filter condition and referencing one or more of the columns of the derived table. 9. The data processing system as claimed in claim 7 , wherein the summary filter transformation system is configured to analyze the filter condition to determine the filter group by: identifying aggregates of the filter condition; for each identified aggregate, identifying an aggregate group of the aggregate, the aggregate group comprising a list of expressions over which the aggregate is computed; and selecting the aggregate group with the lowest level of granularity as the filter group. | 0.576569 |
3. A memory according to claim 2 wherein the logic for identifying the plurality of layers includes logic for identifying a common layer and at least one version-specific layer. | 3. A memory according to claim 2 wherein the logic for identifying the plurality of layers includes logic for identifying a common layer and at least one version-specific layer. 10. A memory according to claim 3 wherein the logic for generating the layered document comprises logic for generating a plurality of layered graphic elements with an order corresponding to the order of entries of the merged list and wherein a layered graphic element corresponds to an element identifier of the merged element and wherein a layered graphic element is associated with at least one layer associated with the merged element identifier. | 0.848945 |
16. The method according to claim 14 , wherein the text input comprises two or more terms and the method further comprises retrieving, from the vector map, a context vector for each term of the two or more terms which has an equivalent in the vector map and generating an Average Document Vector by calculating the average of the context vectors retrieved for each term in the text input. | 16. The method according to claim 14 , wherein the text input comprises two or more terms and the method further comprises retrieving, from the vector map, a context vector for each term of the two or more terms which has an equivalent in the vector map and generating an Average Document Vector by calculating the average of the context vectors retrieved for each term in the text input. 17. The method according to claim 16 , further comprising calculating the similarity between the Average Document Vector and each of the Prediction Vectors and providing a similarity value associated with each text prediction. | 0.689076 |
1. A method for facilitating creation of at least a recipe for processing at least a substrate in at least a processing system, the method comprising: providing a recipe editor, said recipe editor incorporating best-known methods (BKMs), said BKMs being practice specifications for said recipe; creating a plurality of BKM modules based on said BKMs for said recipe, wherein each BKM module of said plurality of BKM modules relates to a process stage for processing said substrate and includes a plurality of recipe steps of said recipe; defining rules for parameters in said plurality of BKM modules; translating, using said recipe editor, user-propagated parameter values into updated rules; said user-propagated parameter values being propagated by a first user in at least one of said processing system and said plurality of BKM modules; generating at least an updated BKM module using said updated rules; and providing said updated BKM module to at least a second processing system that is used by a second user. | 1. A method for facilitating creation of at least a recipe for processing at least a substrate in at least a processing system, the method comprising: providing a recipe editor, said recipe editor incorporating best-known methods (BKMs), said BKMs being practice specifications for said recipe; creating a plurality of BKM modules based on said BKMs for said recipe, wherein each BKM module of said plurality of BKM modules relates to a process stage for processing said substrate and includes a plurality of recipe steps of said recipe; defining rules for parameters in said plurality of BKM modules; translating, using said recipe editor, user-propagated parameter values into updated rules; said user-propagated parameter values being propagated by a first user in at least one of said processing system and said plurality of BKM modules; generating at least an updated BKM module using said updated rules; and providing said updated BKM module to at least a second processing system that is used by a second user. 8. The method of claim 1 wherein said recipe editor requests actual configuration settings of said processing system before executing said recipe, wherein a comparison bctween said actual configuration settings and said recipe is performed. | 0.596685 |
1. A computer-implemented method for generating an electronic content item, the method comprising: receiving, at a server, a request from a content sponsor to generate an electronic content item associated with a concept, wherein the electronic content item is of the form of a creative and being generated automatically by the server; automatically determining, by the server and based on the concept, an image for inclusion in the electronic content item, wherein the determining includes comparing the concept to a title associated with the image and/or metadata associated with the image; suggesting, by the server and based on the determining, presentation content to the content sponsor for inclusion in the electronic content item including presenting at least a portion of the determined image responsive to the received request; receiving, at the server and from the content sponsor, a selection from the suggested presentation content; automatically generating, at the server, the electronic content item for the content sponsor using the selection; associating one or more keywords with the electronic content item; and storing the electronic content item and the associated one or more keywords such that it may be retrieved in response to a user query received in the future upon comparison with the associated one or more keywords. | 1. A computer-implemented method for generating an electronic content item, the method comprising: receiving, at a server, a request from a content sponsor to generate an electronic content item associated with a concept, wherein the electronic content item is of the form of a creative and being generated automatically by the server; automatically determining, by the server and based on the concept, an image for inclusion in the electronic content item, wherein the determining includes comparing the concept to a title associated with the image and/or metadata associated with the image; suggesting, by the server and based on the determining, presentation content to the content sponsor for inclusion in the electronic content item including presenting at least a portion of the determined image responsive to the received request; receiving, at the server and from the content sponsor, a selection from the suggested presentation content; automatically generating, at the server, the electronic content item for the content sponsor using the selection; associating one or more keywords with the electronic content item; and storing the electronic content item and the associated one or more keywords such that it may be retrieved in response to a user query received in the future upon comparison with the associated one or more keywords. 27. The method of claim 1 , further comprising: receiving at least one of a language and country preference, wherein the suggested presentation content is selected based on the at least one of a language and country preference. | 0.551475 |
10. A system of claim 1 , wherein the compression mechanism to compress the uncompressed second textual data to yield the compressed third textual data using the dictionary comprises: receiving the dictionary, the dictionary having a plurality of keys, each key associated with an identifier, the keys comprising: a plurality of static word or phrase keys, each static word or phrase key listing one or more unchanging words in a particular order; and, a plurality of dynamic phrase keys, each dynamic phrase key listing a plurality of words and one or more placeholders in a particular order, each placeholder denoting a place where a word or phrase other than the words of the dynamic phrase key is to be inserted; wherein words and phrases within the textual data with the keys of the dictionary are matched and the words and phrases within the textual data that match the keys of the dictionary with the identifiers of the keys are replaced, and the textual data within which the words and phrases that match the keys have been replaced with the identifiers of the keys are stored on the storage device. | 10. A system of claim 1 , wherein the compression mechanism to compress the uncompressed second textual data to yield the compressed third textual data using the dictionary comprises: receiving the dictionary, the dictionary having a plurality of keys, each key associated with an identifier, the keys comprising: a plurality of static word or phrase keys, each static word or phrase key listing one or more unchanging words in a particular order; and, a plurality of dynamic phrase keys, each dynamic phrase key listing a plurality of words and one or more placeholders in a particular order, each placeholder denoting a place where a word or phrase other than the words of the dynamic phrase key is to be inserted; wherein words and phrases within the textual data with the keys of the dictionary are matched and the words and phrases within the textual data that match the keys of the dictionary with the identifiers of the keys are replaced, and the textual data within which the words and phrases that match the keys have been replaced with the identifiers of the keys are stored on the storage device. 11. The system of claim 10 , wherein for each phrase within the textual data that matches a dynamic phrase key, replacing the phrase within the textual data with the identifier of the dynamic phrase key comprises listing a particular word or phrase to be inserted for each placeholder within the dynamic phrase key. | 0.766787 |
12. A computer program stored on a tangible computer readable storage media and including computer program code software for implementing a method including: receiving a search query for a programming code search engine; searching a programming code database with the search query in the form of a search criterion that conforms to an underlying storage of textual keywords and metadata that was located outside and external from programming code associated with the programming code database, the programming code database being populated with the programming code from one or more repositories of programming code, the programming code in the programming code database being indexed by use of a full-text analysis of the programming code, the full-text analysis including: a plain-text analysis that evaluates the programming code as plain text to extract a set of plain text keywords found in the programming code; and a plain text-based statistical analysis that derives statistical metadata from the set of plain text keywords; scoring results of the searching according to a scoring criterion, the scoring criterion including a reuse score that tracks a copying for reuse of a line of programming instructions of the programming code in the programming code database; and presenting the results of the searching in a ranked order according to the scoring, the results including a subset of the programming code corresponding to the search query. | 12. A computer program stored on a tangible computer readable storage media and including computer program code software for implementing a method including: receiving a search query for a programming code search engine; searching a programming code database with the search query in the form of a search criterion that conforms to an underlying storage of textual keywords and metadata that was located outside and external from programming code associated with the programming code database, the programming code database being populated with the programming code from one or more repositories of programming code, the programming code in the programming code database being indexed by use of a full-text analysis of the programming code, the full-text analysis including: a plain-text analysis that evaluates the programming code as plain text to extract a set of plain text keywords found in the programming code; and a plain text-based statistical analysis that derives statistical metadata from the set of plain text keywords; scoring results of the searching according to a scoring criterion, the scoring criterion including a reuse score that tracks a copying for reuse of a line of programming instructions of the programming code in the programming code database; and presenting the results of the searching in a ranked order according to the scoring, the results including a subset of the programming code corresponding to the search query. 19. The computer program of claim 12 , wherein the method further including: detecting a change in a programming code development environment; generating the search query based on a keyword in the change; and reusing the subset of the programming code in the software programming code development environment. | 0.60367 |
1. A system providing conversation persistence in real-time collaboration system comprising: a computing platform having hardware to perform a logical process; a transcript store portion of the computing platform configured to persistently store a transcript of real-time collaboration system messages for a first conversation thread in a first real-time collaboration system user interface, the first conversation thread having a beginning point and an ending point and a series of messages therebetween; a user interface portion of the computing platform configured to allow a user to specify conditions for a messaging client to automatically insert a continuation point between two messages within the first conversation thread; a portion of a user display of the computing platform configured to display an indicator proximate to an entry for the first conversation thread in the first real-time collaboration system user interface, the entry being shown in a hierarchical list of organized subjects of conversations, the indicator indicating storage of the transcript from the first conversation thread; a transcript retriever and copier portion of the computing platform configured to, responsive to operation of the indicator, automatically retrieve the stored transcript, and copy a portion of the first conversation thread into a second real-time collaboration system user interface, the copied portion being defined by at least two points selected from a group consisting of the beginning point, the continuation point, and the ending point; and a transcript resumer portion of the computing platform configured to append newly authored and received messages in the second real-time collaboration system user interface to the copied portion of the first conversation thread, wherein a second conversation thread of is provided in the second real-time collaboration system user interface having the copied portion of the first conversation thread, wherein the copied portion allows a user to be refreshed of a context of the first conversation thread. | 1. A system providing conversation persistence in real-time collaboration system comprising: a computing platform having hardware to perform a logical process; a transcript store portion of the computing platform configured to persistently store a transcript of real-time collaboration system messages for a first conversation thread in a first real-time collaboration system user interface, the first conversation thread having a beginning point and an ending point and a series of messages therebetween; a user interface portion of the computing platform configured to allow a user to specify conditions for a messaging client to automatically insert a continuation point between two messages within the first conversation thread; a portion of a user display of the computing platform configured to display an indicator proximate to an entry for the first conversation thread in the first real-time collaboration system user interface, the entry being shown in a hierarchical list of organized subjects of conversations, the indicator indicating storage of the transcript from the first conversation thread; a transcript retriever and copier portion of the computing platform configured to, responsive to operation of the indicator, automatically retrieve the stored transcript, and copy a portion of the first conversation thread into a second real-time collaboration system user interface, the copied portion being defined by at least two points selected from a group consisting of the beginning point, the continuation point, and the ending point; and a transcript resumer portion of the computing platform configured to append newly authored and received messages in the second real-time collaboration system user interface to the copied portion of the first conversation thread, wherein a second conversation thread of is provided in the second real-time collaboration system user interface having the copied portion of the first conversation thread, wherein the copied portion allows a user to be refreshed of a context of the first conversation thread. 2. The system as set forth in claim 1 further comprising a portion of a messaging server configured to associate the persistently stored transcript of real-time collaboration system messages with one or more items in a list of conversational items. | 0.54021 |
10. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause: for a query comprising a query block specifying a first join between a first table and a second table, making a first determination that the query block contains no post-join references to the second table to be processed after the first join, wherein the query block does not reference the second table in a SELECT, GROUP-BY, HAVING, or ORDER BY clause or subquery connecting or correlating conditions of the query block; wherein the first join is one of an outer join and a cross join; making a second determination that the query block is duplicate-insignificant; and in response to making the first determination and the second determination, transforming the query into a transformed query, wherein the second table is eliminated from a corresponding query block in the transformed query. | 10. One or more non-transitory storage media storing instructions which, when executed by one or more computing devices, cause: for a query comprising a query block specifying a first join between a first table and a second table, making a first determination that the query block contains no post-join references to the second table to be processed after the first join, wherein the query block does not reference the second table in a SELECT, GROUP-BY, HAVING, or ORDER BY clause or subquery connecting or correlating conditions of the query block; wherein the first join is one of an outer join and a cross join; making a second determination that the query block is duplicate-insignificant; and in response to making the first determination and the second determination, transforming the query into a transformed query, wherein the second table is eliminated from a corresponding query block in the transformed query. 11. The one or more non-transitory storage media of claim 10 , wherein the first join is an outer join, the first table is a preserved table with respect to the outer join, and the second table is a non-preserved table with respect to the outer join. | 0.848532 |
9. The system of one or more electronic portraits of claim 8 , wherein: said first data processing means comprises a microcontroller and a flash memory; said microcontroller being provided with firmware and being programmed and configured for receiving data comprising executable sets of instructions and recorded material, through said communications channel, storing data on said flash memory, and executing said instructions; said microcontroller having a plurality of pulse width modulation output channels for energizing said motive means; said microcontroller having a digital to analog converter for outputting sound to said sound reproducing means. | 9. The system of one or more electronic portraits of claim 8 , wherein: said first data processing means comprises a microcontroller and a flash memory; said microcontroller being provided with firmware and being programmed and configured for receiving data comprising executable sets of instructions and recorded material, through said communications channel, storing data on said flash memory, and executing said instructions; said microcontroller having a plurality of pulse width modulation output channels for energizing said motive means; said microcontroller having a digital to analog converter for outputting sound to said sound reproducing means. 10. The system of one or more electronic portraits of claim 9 wherein: each of said plurality of pulse width modulation output channels is connected to said motive means and configured to selectively position a one of said facial features according to said sets of instructions; said sets of instructions being designed to synchronize the operation of said plurality of pulse width modulation output channels for animation of said facial features. | 0.918473 |
3. A method comprising: automatically detecting a gesture of a body from gesture data received via an optical detector, wherein the gesture data is absolute three-space location data of an instantaneous state of the body at a point in time and space, the detecting comprising aggregating the gesture data, and identifying the gesture using only the gesture data; translating the gesture to a gesture signal; and controlling a component coupled to a computer in response to the gesture signal. | 3. A method comprising: automatically detecting a gesture of a body from gesture data received via an optical detector, wherein the gesture data is absolute three-space location data of an instantaneous state of the body at a point in time and space, the detecting comprising aggregating the gesture data, and identifying the gesture using only the gesture data; translating the gesture to a gesture signal; and controlling a component coupled to a computer in response to the gesture signal. 5. The method of claim 3 , wherein the detecting includes detecting an orientation of the body. | 0.652174 |
1. One or more computer-readable devices, not being a signal per se, having computer-executable instructions embodied thereon that when executed provide a method for medical resource forecasting, the method comprising: retrieving records of a first data set comprising historical medical data related to resource usage, wherein the historical medical data related to resource usage comprises usage determination data and context determination data; processing the records to determine a Bayesian network model including Bayesian node elements, wherein processing comprises: applying resource usage determination data to incorporate resource need as a hidden state of said Bayesian network, and applying context determination data to incorporate context data as observable states of said Bayesian network; producing a simplified model, based on analyzing the Bayesian network model; generating a predictive model using said simplified model; and running the predictive model to generating a forecast of resource needs. | 1. One or more computer-readable devices, not being a signal per se, having computer-executable instructions embodied thereon that when executed provide a method for medical resource forecasting, the method comprising: retrieving records of a first data set comprising historical medical data related to resource usage, wherein the historical medical data related to resource usage comprises usage determination data and context determination data; processing the records to determine a Bayesian network model including Bayesian node elements, wherein processing comprises: applying resource usage determination data to incorporate resource need as a hidden state of said Bayesian network, and applying context determination data to incorporate context data as observable states of said Bayesian network; producing a simplified model, based on analyzing the Bayesian network model; generating a predictive model using said simplified model; and running the predictive model to generating a forecast of resource needs. 4. The computer-readable media of claim 1 , wherein the usage determination data comprises actual usage data and data which is indicative of resource application error. | 0.520038 |
1. A computer-implemented method, comprising: obtaining a dataset representing a plurality of users, a plurality of items, and a plurality of ratings given to items by users; clustering the plurality of users into a plurality of user-groups such that at least one user belongs to more than one user-group; clustering the plurality of items into a plurality of item-groups such that at least one item belongs to more than one item-group; inducing a model describing a probabilistic relationship between the plurality of users, items, ratings, user-groups, and item-groups, the induced model defined by a plurality of model parameters; and predicting a rating of a user for an item using the induced model. | 1. A computer-implemented method, comprising: obtaining a dataset representing a plurality of users, a plurality of items, and a plurality of ratings given to items by users; clustering the plurality of users into a plurality of user-groups such that at least one user belongs to more than one user-group; clustering the plurality of items into a plurality of item-groups such that at least one item belongs to more than one item-group; inducing a model describing a probabilistic relationship between the plurality of users, items, ratings, user-groups, and item-groups, the induced model defined by a plurality of model parameters; and predicting a rating of a user for an item using the induced model. 7. The computer-implemented method of claim 1 , wherein predicting the rating of the user includes: determining a profile specific to the user; and generating a predicted rating based on the determined profile. | 0.638238 |
5. A system, comprising: one or more processors; and memory including instructions that, when executed by the one or more processors, cause the system to: determine a set of frequencies for a set of details associated with a request to determine an identity of a user; obtain a set of records based at least in part on the set of details; determine a set of scores for at least a subset of the set of records, the set of scores determined by at least, for each record of the set of records: computing a set of search term results for the set of details, the set of search term results indicating an extent to which the set of details corresponds to the subset of the set of records; calculating, based at least in part on the set of frequencies and a set of search term results, a subset of the set of records to analyze; analyzing the subset of the set of records by at least traversing, for each frequency of the set of frequencies corresponding to the subset of the set of records, a plurality of decision trees to generate a plurality of votes; and generating the set of scores based at least in part on the plurality of votes; and determine the identity based at least in part on the set of scores. | 5. A system, comprising: one or more processors; and memory including instructions that, when executed by the one or more processors, cause the system to: determine a set of frequencies for a set of details associated with a request to determine an identity of a user; obtain a set of records based at least in part on the set of details; determine a set of scores for at least a subset of the set of records, the set of scores determined by at least, for each record of the set of records: computing a set of search term results for the set of details, the set of search term results indicating an extent to which the set of details corresponds to the subset of the set of records; calculating, based at least in part on the set of frequencies and a set of search term results, a subset of the set of records to analyze; analyzing the subset of the set of records by at least traversing, for each frequency of the set of frequencies corresponding to the subset of the set of records, a plurality of decision trees to generate a plurality of votes; and generating the set of scores based at least in part on the plurality of votes; and determine the identity based at least in part on the set of scores. 11. The system of claim 5 , wherein the instructions further include instructions that cause the system to: calculate a rank for each record of the set of records based at least in part on a one or more frequency values associated with field values in the record; and select the at least a subset of the set of records to analyze based at least in part on the calculated rank of each of the set of records. | 0.566472 |
8. A method for determining a language of origin of a word comprising analyzing non-uniform letter sequence portions of the word wherein analyzing comprises: using one or more processors of a computing system, segmenting the word into strings of letter chunks based on different criteria, the letter chunks being of non-uniform length of one or more letters; using one or more processors of a computing system, ascertaining a probability of the word belonging to a selected language by using a plurality of N-gram models based on the letter chunks segmented with the different criteria for each of a plurality of different languages, and providing results from using the plurality of N-gram models based on letter chunks extracted with the different criteria to a combined classifier that merges the results from the plurality of N-gram models to provide a hypothesis of the language of origin, wherein the combined classifier uses at least one of a first form of adaptive boosting and a second form of adaptive boosting, the first form of adaptive boosting comprising wherein a classifier is provided for and associated with each of the plurality of different languages, each classifier receiving the plurality of results and used to ascertain whether the word is from the associated language or not, and the second form of adaptive boosting comprising calculating a posterior probability for each language; and outputting a the hypothesis of the language of origin of the word provided by the combined classifier. | 8. A method for determining a language of origin of a word comprising analyzing non-uniform letter sequence portions of the word wherein analyzing comprises: using one or more processors of a computing system, segmenting the word into strings of letter chunks based on different criteria, the letter chunks being of non-uniform length of one or more letters; using one or more processors of a computing system, ascertaining a probability of the word belonging to a selected language by using a plurality of N-gram models based on the letter chunks segmented with the different criteria for each of a plurality of different languages, and providing results from using the plurality of N-gram models based on letter chunks extracted with the different criteria to a combined classifier that merges the results from the plurality of N-gram models to provide a hypothesis of the language of origin, wherein the combined classifier uses at least one of a first form of adaptive boosting and a second form of adaptive boosting, the first form of adaptive boosting comprising wherein a classifier is provided for and associated with each of the plurality of different languages, each classifier receiving the plurality of results and used to ascertain whether the word is from the associated language or not, and the second form of adaptive boosting comprising calculating a posterior probability for each language; and outputting a the hypothesis of the language of origin of the word provided by the combined classifier. 9. The method of claim 8 wherein the step of ascertaining includes using an N-gram model based on at least one of MI (Mutual Information) and MDL (Minimum Description Length) letter chunk. | 0.615479 |
23. A system for periodically generating a personal ranking of online data for a specific user, the system comprising: an interface configured for interfacing with online data, stored user data and user device data; a processor executing an application for accessing the online data and generating an analysis, wherein the analysis incorporates criteria derived or inferred from the stored user data and the user device data; a relevance engine configured for receiving the analysis and applying a user-specific attention profile and a user-specific psychometric profile to produce a machine readable, user-specific attention ranking of the online data; and a retrieval means through which the user accesses online data corresponding to at least a prioritized portion of the user-specific attention ranking. | 23. A system for periodically generating a personal ranking of online data for a specific user, the system comprising: an interface configured for interfacing with online data, stored user data and user device data; a processor executing an application for accessing the online data and generating an analysis, wherein the analysis incorporates criteria derived or inferred from the stored user data and the user device data; a relevance engine configured for receiving the analysis and applying a user-specific attention profile and a user-specific psychometric profile to produce a machine readable, user-specific attention ranking of the online data; and a retrieval means through which the user accesses online data corresponding to at least a prioritized portion of the user-specific attention ranking. 25. The system for periodically generating a personal ranking of online data according to claim 23 wherein: the user-specific attention ranking is generated independently of any search inquiry submitted by the specific user. | 0.705226 |
10. A system for automatically expanding existing data content that is included in a corpus comprising: memory storage device; a processor in communication with said memory storage device configured to: automatically identify a topic from existing data in said corpus, said existing data comprising one or more seed documents; automatically generate search queries to search for content related to said topic identified from said existing data, the queries being generated based on said topic identified from a seed document in said corpus; using said generated search queries to automatically conduct a search in and retrieve content from one or more other data repositories not including said corpus; automatically extract units of text from the retrieved content; automatically determine a relevance of the extracted units of text and their relatedness to the topic identified from the existing data; and automatically select new sources of content and include them in the corpus based on the determined relevance to said identified topic including compiling a new document from the most relevant extracted text units, said new document being searchable with said existing data content, wherein to automatically identify said topic, said processor is further configured to: generate from said one or more seed documents, a topic name and a topic descriptor corresponding to units extracted from said one or more documents, said generated search queries including one or more: said topic name or words and phrases extracted from said topic descriptor, and wherein to retrieve content, said processor is further configured to: use search engines to run said search queries against the one or more external data repositories, said content retrieved including one or more text passages or documents; extract units of text by splitting the retrieved text passages or documents into smaller text units using structural markup for demarcating text unit boundaries; and, said processor further configured to: determine the relevance of the text units from said retrieved passages or documents by scoring each said text unit using a statistical model based on a lexico-syntactic feature, said lexico-syntactic feature includes a topicality feature, a search feature and a surface feature; wherein to automatically determine a relevance of the extracted units includes fitting a logistic regression (LR) model using said topicality, search and surface features and a generation level to estimate a relevance score of each independent text unit based on their relevance to said topic of the seed document; and compute a score based further on a topicality feature by one of: computing a likelihood ratio of a text unit estimated with a topic model and a background language model, said topic model being estimated from the seed document, and said background language model being estimated from a sample of documents from said corpus. | 10. A system for automatically expanding existing data content that is included in a corpus comprising: memory storage device; a processor in communication with said memory storage device configured to: automatically identify a topic from existing data in said corpus, said existing data comprising one or more seed documents; automatically generate search queries to search for content related to said topic identified from said existing data, the queries being generated based on said topic identified from a seed document in said corpus; using said generated search queries to automatically conduct a search in and retrieve content from one or more other data repositories not including said corpus; automatically extract units of text from the retrieved content; automatically determine a relevance of the extracted units of text and their relatedness to the topic identified from the existing data; and automatically select new sources of content and include them in the corpus based on the determined relevance to said identified topic including compiling a new document from the most relevant extracted text units, said new document being searchable with said existing data content, wherein to automatically identify said topic, said processor is further configured to: generate from said one or more seed documents, a topic name and a topic descriptor corresponding to units extracted from said one or more documents, said generated search queries including one or more: said topic name or words and phrases extracted from said topic descriptor, and wherein to retrieve content, said processor is further configured to: use search engines to run said search queries against the one or more external data repositories, said content retrieved including one or more text passages or documents; extract units of text by splitting the retrieved text passages or documents into smaller text units using structural markup for demarcating text unit boundaries; and, said processor further configured to: determine the relevance of the text units from said retrieved passages or documents by scoring each said text unit using a statistical model based on a lexico-syntactic feature, said lexico-syntactic feature includes a topicality feature, a search feature and a surface feature; wherein to automatically determine a relevance of the extracted units includes fitting a logistic regression (LR) model using said topicality, search and surface features and a generation level to estimate a relevance score of each independent text unit based on their relevance to said topic of the seed document; and compute a score based further on a topicality feature by one of: computing a likelihood ratio of a text unit estimated with a topic model and a background language model, said topic model being estimated from the seed document, and said background language model being estimated from a sample of documents from said corpus. 18. The system as claimed in claim 10 , wherein said topic and background language model is a simple unigram model with Good-Turing discounting. | 0.564304 |
1. A computer system, comprising: a processor; a tool operable to execute on the processor to facilitate the adjustment of parameters of a gesture filter of an application that is designed to recognize whether a user of the application has performed a particular gesture from data comprising information about position or movement of the user, the tool operable to: receive data captured by a capture device, the data comprising information representing user position or movement; display a visual representation of the position or movement represented by the received data, the visual representation comprising a list identifying a gesture filter; in response to user selection of the gesture filter from the list, display at least one adjustable parameter of the gesture filter; in response to the system processing the data with the gesture filter and the adjustable parameter, display an indication of whether the position or movement represented by the data would be recognized by the gesture filter as the performance of the gesture that the gesture filter is designed to recognize; receive, via a user interface of the display, a change to a parameter of the gesture filter of the application; alter the gesture filter according to the received change; and display an indication of whether processing the data with the gesture filter and the changed parameter causes the system to determine that the position or movement represented by the data would be recognized by the gesture filter as the performance of the gesture that the gesture filter is designed to recognize. | 1. A computer system, comprising: a processor; a tool operable to execute on the processor to facilitate the adjustment of parameters of a gesture filter of an application that is designed to recognize whether a user of the application has performed a particular gesture from data comprising information about position or movement of the user, the tool operable to: receive data captured by a capture device, the data comprising information representing user position or movement; display a visual representation of the position or movement represented by the received data, the visual representation comprising a list identifying a gesture filter; in response to user selection of the gesture filter from the list, display at least one adjustable parameter of the gesture filter; in response to the system processing the data with the gesture filter and the adjustable parameter, display an indication of whether the position or movement represented by the data would be recognized by the gesture filter as the performance of the gesture that the gesture filter is designed to recognize; receive, via a user interface of the display, a change to a parameter of the gesture filter of the application; alter the gesture filter according to the received change; and display an indication of whether processing the data with the gesture filter and the changed parameter causes the system to determine that the position or movement represented by the data would be recognized by the gesture filter as the performance of the gesture that the gesture filter is designed to recognize. 6. The system of claim 1 , wherein each gesture filter of the list is operable to be specified by the application. | 0.606273 |
67. The system according to claim 66 wherein said first group of control strategy components further comprises: a process atoms function; a process molecules function; a forward directed reasoning function; a backward directed reasoning function; a perform test driver function; a determine primary conclusion function; a report generation function. | 67. The system according to claim 66 wherein said first group of control strategy components further comprises: a process atoms function; a process molecules function; a forward directed reasoning function; a backward directed reasoning function; a perform test driver function; a determine primary conclusion function; a report generation function. 72. The system according to claim 67 wherein said backward directed reasoning function further comprises: searching for a backward rule to match a first known consequent fact against a rule consequent part node; said backward rule comprising a first set of consequent part nodes, a first set of antecedent part nodes and a first set of context nodes; matching said backward rule consequent part node to said first known consequent fact; then determining a new set of antecedent facts based upon antecedent nodes of an antecedent rule part. | 0.705531 |
4. A hardware computer readable storage medium storing instructions, which, when executed by a computer, perform a method comprising: displaying a first domain tuned search interface that is embedded on a first site and obtains search results using a first search definition that identifies a topical area of interest for the first site; receiving a first search input from a user, that is separate from the first search definition, at the first domain tuned search interface embedded on the first site; obtaining a first set of non-domain specific search results, using a first search engine that searches a network of sites, based on the first search input; generating domain specific search results by ranking the search results in the first set based on how similar in terms of subject matter content the search results are to the first search definition; displaying a second site selected from the first set of search results, the second site being different than the first site and having a second domain tuned search interface that is embedded on the second site and obtains search results using a second search definition that identifies a topical area of interest for the second site, that is different than the topical area of interest for the first site; receiving a second search input from the user, that is separate from the second search definition, at the second domain tuned search interface embedded on the second site; obtaining a second set of non-domain specific search results, using a second search engine that searches the network of sites, based on the second search input; and generating domain specific search results by ranking the search results in the second set based on how similar in terms of subject matter content the search results are to the second search definition. | 4. A hardware computer readable storage medium storing instructions, which, when executed by a computer, perform a method comprising: displaying a first domain tuned search interface that is embedded on a first site and obtains search results using a first search definition that identifies a topical area of interest for the first site; receiving a first search input from a user, that is separate from the first search definition, at the first domain tuned search interface embedded on the first site; obtaining a first set of non-domain specific search results, using a first search engine that searches a network of sites, based on the first search input; generating domain specific search results by ranking the search results in the first set based on how similar in terms of subject matter content the search results are to the first search definition; displaying a second site selected from the first set of search results, the second site being different than the first site and having a second domain tuned search interface that is embedded on the second site and obtains search results using a second search definition that identifies a topical area of interest for the second site, that is different than the topical area of interest for the first site; receiving a second search input from the user, that is separate from the second search definition, at the second domain tuned search interface embedded on the second site; obtaining a second set of non-domain specific search results, using a second search engine that searches the network of sites, based on the second search input; and generating domain specific search results by ranking the search results in the second set based on how similar in terms of subject matter content the search results are to the second search definition. 7. The hardware computer readable storage medium of claim 4 , wherein the first topical area of interest comprises subject matter content of the first site in which the first search interface is embedded. | 0.602585 |
1. A system comprising: one or more computer processors configured to: receive data relating to a composition of a target group; receive logged communications of the target group; extract textual information from the logged communications; analyze the textual information using statistical and linguistic sentiment analysis techniques; generate one or more vectors from the analysis of the textual information; combine one or more assessments from multiple vectors; identify an individual or sub-group from the target group as a function of the analysis of the textual information; and transmit to a user interface for display on the user interface or transmit to another processor the identified individual or sub-group of the target group and transmit to the user interface for display on the user interface or transmit to another processor a sentiment assessment of the identified individual or sub-group as a function of the statistical and linguistic sentiment analysis; wherein the logged communications are a database of recorded audio voices; and wherein the system comprises a processor configured to analyze the one or more recorded audio voices for audio voice characteristics; and wherein the one or more processors are further configured to analyze the sentiment of the individual or sub-group over a period of time. | 1. A system comprising: one or more computer processors configured to: receive data relating to a composition of a target group; receive logged communications of the target group; extract textual information from the logged communications; analyze the textual information using statistical and linguistic sentiment analysis techniques; generate one or more vectors from the analysis of the textual information; combine one or more assessments from multiple vectors; identify an individual or sub-group from the target group as a function of the analysis of the textual information; and transmit to a user interface for display on the user interface or transmit to another processor the identified individual or sub-group of the target group and transmit to the user interface for display on the user interface or transmit to another processor a sentiment assessment of the identified individual or sub-group as a function of the statistical and linguistic sentiment analysis; wherein the logged communications are a database of recorded audio voices; and wherein the system comprises a processor configured to analyze the one or more recorded audio voices for audio voice characteristics; and wherein the one or more processors are further configured to analyze the sentiment of the individual or sub-group over a period of time. 6. The system of claim 1 , wherein the database of recorded voices comprises one or more of a database of recorded telephone calls, a database of recorded meetings, or a database of recorded presentations. | 0.885809 |
1. A system for facilitating the creation and dissemination of interactive materials for enhanced understanding and presentation, according to approaches used by experienced problem solvers, comprising: a processor enabled system executable on one or more processors to enable activities comprising: identification of at least one portion of at least one model or specification, or both, regarding an arbitrary problem or inquiry based project or both; evaluation of said-at least one portion of at least one model or user specification regarding an arbitrary problem, or both, relative to an exemplary archetype structure or an exemplary archetype process for facilitating exemplary problem solving, relative to related archives, or relative to a combination thereof; creation or identification or both of at least one enhanced interactive construct; display, output, storage, or a combination thereof, of at least a portion of at least one enhanced interactive construct. | 1. A system for facilitating the creation and dissemination of interactive materials for enhanced understanding and presentation, according to approaches used by experienced problem solvers, comprising: a processor enabled system executable on one or more processors to enable activities comprising: identification of at least one portion of at least one model or specification, or both, regarding an arbitrary problem or inquiry based project or both; evaluation of said-at least one portion of at least one model or user specification regarding an arbitrary problem, or both, relative to an exemplary archetype structure or an exemplary archetype process for facilitating exemplary problem solving, relative to related archives, or relative to a combination thereof; creation or identification or both of at least one enhanced interactive construct; display, output, storage, or a combination thereof, of at least a portion of at least one enhanced interactive construct. 2. The system of claim 1 further comprising at least one of a three dimensional representation, two dimensional representation, combination of two and three dimensional representation, animation, video, graphical representation, playable form, video-like form, game-like form, animated-like form, storyline, storyline layout, outline, custom form, deconstructor form, partial constructor form, mix and match form, predicting form, interactive construct challenge, timeline construct, question, topic, conclusion, answer, solution, information construct, analysis construct, sequence construct, causation construct, comparison construct, contrast construct, grouping construct, wholes and parts construct, family tree construct, autogenerated construct, customized construct, customizable form, customized archetype process for facilitating exemplary user problem solving, customized archetype structure for facilitating exemplary user problem solving, subdivided construct, composite construct, options for trigger, triggers, branched form, combination construct form, nonlinear form, alternative path form, multiple path form, multiple player form, interaction environment, interaction mechanism, evaluator component, target interactive construct, feedback mechanisms, commenting, ranking, rewarding, rating, scoring, or a combination thereof. | 0.615934 |
13. A computer-implemented method comprising: identifying a video; identifying an audio portion of the video; performing speech recognition on the audio portion, using a speech recognizer, to obtain speech recognition data; dividing the video into a plurality of different chapters based on the speech recognition data; identifying a collection of supplemental content items, each supplemental content item comprising content other than the video; for each chapter of the plurality of different chapters, ranking, by a computer processor, the collection of supplemental content items for the chapter based on the speech recognition data corresponding to the chapter, selecting one of the supplemental content items based on the ranking, and assigning the selected supplemental content item to the chapter, wherein the selected supplemental content item supplements video content in the chapter, and rendering the video on a display device; and during rendering of the video, identifying occurrence of rendering each chapter in the video and, for each chapter, synchronizing display of the chapter with an indication of the supplemental content item assigned to the chapter. | 13. A computer-implemented method comprising: identifying a video; identifying an audio portion of the video; performing speech recognition on the audio portion, using a speech recognizer, to obtain speech recognition data; dividing the video into a plurality of different chapters based on the speech recognition data; identifying a collection of supplemental content items, each supplemental content item comprising content other than the video; for each chapter of the plurality of different chapters, ranking, by a computer processor, the collection of supplemental content items for the chapter based on the speech recognition data corresponding to the chapter, selecting one of the supplemental content items based on the ranking, and assigning the selected supplemental content item to the chapter, wherein the selected supplemental content item supplements video content in the chapter, and rendering the video on a display device; and during rendering of the video, identifying occurrence of rendering each chapter in the video and, for each chapter, synchronizing display of the chapter with an indication of the supplemental content item assigned to the chapter. 19. The method of claim 13 , wherein ranking the collection of supplemental content items for each of the different chapters comprises ranking based on a keyword model. | 0.586957 |
1. A method of performing a live network search for currently available content, the method comprising the steps of: accepting a user search query at a computer connected to the network; in response to the user search query, identifying search origins comprising a network resource deemed of relevance to the user search query; retrieving and reviewing the contents of the search origin to identify the presence of one or more search avenues stemming from the search origin; perusing identified search avenues by retrieving the currently available content at the search avenues to identify search results to be returned by the computer in response to the user search query, perusing further comprising: a. identifying links and submission fields in the currently available content at the search avenue; b. storing at a server the identified links and links to the submission fields with the search query that identified the search avenue; repeating the processes of retrieving, reviewing and perusing in respect of network locations stemming from the identified search avenues; and wherein the identified search origins include information from the server from previous live network searches performed by the user or other users. | 1. A method of performing a live network search for currently available content, the method comprising the steps of: accepting a user search query at a computer connected to the network; in response to the user search query, identifying search origins comprising a network resource deemed of relevance to the user search query; retrieving and reviewing the contents of the search origin to identify the presence of one or more search avenues stemming from the search origin; perusing identified search avenues by retrieving the currently available content at the search avenues to identify search results to be returned by the computer in response to the user search query, perusing further comprising: a. identifying links and submission fields in the currently available content at the search avenue; b. storing at a server the identified links and links to the submission fields with the search query that identified the search avenue; repeating the processes of retrieving, reviewing and perusing in respect of network locations stemming from the identified search avenues; and wherein the identified search origins include information from the server from previous live network searches performed by the user or other users. 9. The method as claimed in claim 1 , further comprising the steps of displaying a live state of search results as perusing continues, and refreshing said results as continued live perusing yields additional relevant results. | 0.649871 |
7. A system comprising: a server device to: generate a custom news document, where the custom news document includes a plurality of custom news sections; assign one or more of a keyword or phrase, a topical category, or a geographic category to each of the plurality of custom news sections; embed search queries into the custom news document, where the embedded search queries include an applet or an iframe that includes one or more instructions to submit the assigned one or more of a keyword or phrase, topical category, or geographic category to a news server in response to receiving a request to access the custom news document; receive, from a client device, the request to access the custom news document; send the embedded search queries across a network to the news server, in response to receiving the request, where the news server obtains news content based on the embedded search queries; receive the obtained news content from the news server in response to sending the embedded search queries; and populate the plurality of custom news sections with the received news content. | 7. A system comprising: a server device to: generate a custom news document, where the custom news document includes a plurality of custom news sections; assign one or more of a keyword or phrase, a topical category, or a geographic category to each of the plurality of custom news sections; embed search queries into the custom news document, where the embedded search queries include an applet or an iframe that includes one or more instructions to submit the assigned one or more of a keyword or phrase, topical category, or geographic category to a news server in response to receiving a request to access the custom news document; receive, from a client device, the request to access the custom news document; send the embedded search queries across a network to the news server, in response to receiving the request, where the news server obtains news content based on the embedded search queries; receive the obtained news content from the news server in response to sending the embedded search queries; and populate the plurality of custom news sections with the received news content. 26. The system of claim 7 , where the server device is further to: calculate a compensation to provide to an entity associated with the news server for providing the obtained news content. | 0.746508 |
7. A method for generating information for determining resource allocation in a resident care facility, the method comprising: providing a set of assessment questions to an assessor, the set of assessment questions being: based on a base assessment model having questions relating to a plurality of resident care areas; and related to at least a portion of the plurality of resident care areas; receiving responses to at least a portion of the set of assessment questions from a number of respondents; processing the responses to generate an assessment dataset; generating, with a computer, a quality score for at least one of the resident care areas based on the assessment dataset; generating, with a computer, a likelihood of citation in the resident care area associated with the quality score, as a function of the quality score, the number of respondents, a model threshold, and a model sample size, the model threshold and the model sample size being derived from the base assessment model; and displaying the likelihood of citation for the resident care area associated with the quality score. | 7. A method for generating information for determining resource allocation in a resident care facility, the method comprising: providing a set of assessment questions to an assessor, the set of assessment questions being: based on a base assessment model having questions relating to a plurality of resident care areas; and related to at least a portion of the plurality of resident care areas; receiving responses to at least a portion of the set of assessment questions from a number of respondents; processing the responses to generate an assessment dataset; generating, with a computer, a quality score for at least one of the resident care areas based on the assessment dataset; generating, with a computer, a likelihood of citation in the resident care area associated with the quality score, as a function of the quality score, the number of respondents, a model threshold, and a model sample size, the model threshold and the model sample size being derived from the base assessment model; and displaying the likelihood of citation for the resident care area associated with the quality score. 21. The method of claim 7 , wherein at least a portion of the set of responses relate to answers provided to the assessor by staff of the resident care facility. | 0.667555 |
21. A knowledge based document retrieval system, comprising: a user interface which inputs from a user a series of words, creates a query expression and an internal query condition from a dialogue, including said inputted series of words, resulting from interaction by said user with said system, said query expression and said internal query condition being created based on information related to various concepts, and displays responses from said system and information input by said user; a knowledge base for storing knowledge including said concepts and relations among said concepts, wherein said stored knowledge is represented by concept nodes and relation links forming a concept network, wherein each of said nodes represents a concept and each of said links represents a relation among said concepts; information search means for identifying concept nodes that match said internal query condition semantically; and information retrieval means for retrieving at least one document associated with said identified concept nodes. | 21. A knowledge based document retrieval system, comprising: a user interface which inputs from a user a series of words, creates a query expression and an internal query condition from a dialogue, including said inputted series of words, resulting from interaction by said user with said system, said query expression and said internal query condition being created based on information related to various concepts, and displays responses from said system and information input by said user; a knowledge base for storing knowledge including said concepts and relations among said concepts, wherein said stored knowledge is represented by concept nodes and relation links forming a concept network, wherein each of said nodes represents a concept and each of said links represents a relation among said concepts; information search means for identifying concept nodes that match said internal query condition semantically; and information retrieval means for retrieving at least one document associated with said identified concept nodes. 22. A knowledge based document retrieval system according to claim 21, wherein said user interface permits said user to edit said internal query condition. | 0.778154 |
1. A method of converting a document, the method comprising: loading a document file with respect to an original document generated through a word processing program on a local device, the generated original document having a plurality of pages, wherein each of the plurality of the pages included in the original document has an identical page layout; extracting content information about original content of the original document and layout information including the page layout of the original document from the document file; wherein the layout information includes a data which is related to a page size and a page blank space of the original document, the page blank space having at least one of a top margin and a bottom margin of the original document, generating a content layer as a single sheet based on the content information, wherein content of the content layer described in the single sheet corresponds to the original content of the original document described in the plurality of the pages, changing the content layer based on the layout information, the changed content layer having an intermediate blank space which is inserted into a separating position of the content of the content layer, the separating position corresponding to a page boundary of the original document which is determined by the page layout of the original document, wherein a size of the intermediate blank space is determined based on at least one of the top margin and the bottom margin; generating a frame layer including a plurality of page frame images based on the layout information, wherein a number of the plurality of the page frame images is identical to a number of the plurality of the pages of the original document, the plurality of the page frame images have an identical size, and each of the plurality of the page frame images has a page frame boundary; and generating a converted document by combining the content layer and the frame layer, wherein the content layer is provided as the single sheet and the frame layer is overlaid on the single sheet so that the converted document being provided as the single sheet electronically is visually represented as having the plurality of the pages. | 1. A method of converting a document, the method comprising: loading a document file with respect to an original document generated through a word processing program on a local device, the generated original document having a plurality of pages, wherein each of the plurality of the pages included in the original document has an identical page layout; extracting content information about original content of the original document and layout information including the page layout of the original document from the document file; wherein the layout information includes a data which is related to a page size and a page blank space of the original document, the page blank space having at least one of a top margin and a bottom margin of the original document, generating a content layer as a single sheet based on the content information, wherein content of the content layer described in the single sheet corresponds to the original content of the original document described in the plurality of the pages, changing the content layer based on the layout information, the changed content layer having an intermediate blank space which is inserted into a separating position of the content of the content layer, the separating position corresponding to a page boundary of the original document which is determined by the page layout of the original document, wherein a size of the intermediate blank space is determined based on at least one of the top margin and the bottom margin; generating a frame layer including a plurality of page frame images based on the layout information, wherein a number of the plurality of the page frame images is identical to a number of the plurality of the pages of the original document, the plurality of the page frame images have an identical size, and each of the plurality of the page frame images has a page frame boundary; and generating a converted document by combining the content layer and the frame layer, wherein the content layer is provided as the single sheet and the frame layer is overlaid on the single sheet so that the converted document being provided as the single sheet electronically is visually represented as having the plurality of the pages. 15. The method of claim 1 , wherein the content information includes information about the original content of the original document and information about a content format of the original document. | 0.525094 |
1. A computer-implemented method for processing a subject message, by a network of agents including an initiator agent and at least one agent downchain of said initiator agent, each agent in said network having a view of its own domain of responsibility, comprising the steps of said initiator agent: querying at least one of the agents downchain of said initiator agent in said network whether the queried agent considers said subject message to be in the queried agent's domain of responsibility; resolving any conflicting responses from said queried agents, which responses meet threshold quality criteria, to identify a prevailing group of at least one of said downchain agents to whom said subject message should be passed; and instructing at least one agent in said prevailing group to handle said subject message. | 1. A computer-implemented method for processing a subject message, by a network of agents including an initiator agent and at least one agent downchain of said initiator agent, each agent in said network having a view of its own domain of responsibility, comprising the steps of said initiator agent: querying at least one of the agents downchain of said initiator agent in said network whether the queried agent considers said subject message to be in the queried agent's domain of responsibility; resolving any conflicting responses from said queried agents, which responses meet threshold quality criteria, to identify a prevailing group of at least one of said downchain agents to whom said subject message should be passed; and instructing at least one agent in said prevailing group to handle said subject message. 8. A method according to claim 1, wherein said responses identify without contradiction a claiming group of at least one agent which claim said subject message as being in their respective domains of responsibility, and wherein said step of resolving any conflicting responses to identify a prevailing group of at least one agent comprises the step of identifying said claiming group as being said prevailing group. | 0.683986 |
1. A memory device having instructions stored thereon that, in response to execution by a processing device, cause the processing device to perform operations comprising: identifying a key phrase that appears in digital content; generating a score for the key phrase based at least in part on social media popularity of the key phrase and frequency of the key phrase on a peer group of digital pages associated with a target digital page of the digital content, the peer group of digital pages of a plurality of network accessible sites; identifying said peer group of digital pages, at least in part, by identifying at least one of an outbound link from or an inbound link to the target digital page; determining, based at least in part on the score, whether to use the key phrase to select contextually relevant content to associate with the digital content; and responsive to determining to use the key phrase to select contextually relevant content to associate with the digital document, storing an indication of the determination in the memory device or another memory device. | 1. A memory device having instructions stored thereon that, in response to execution by a processing device, cause the processing device to perform operations comprising: identifying a key phrase that appears in digital content; generating a score for the key phrase based at least in part on social media popularity of the key phrase and frequency of the key phrase on a peer group of digital pages associated with a target digital page of the digital content, the peer group of digital pages of a plurality of network accessible sites; identifying said peer group of digital pages, at least in part, by identifying at least one of an outbound link from or an inbound link to the target digital page; determining, based at least in part on the score, whether to use the key phrase to select contextually relevant content to associate with the digital content; and responsive to determining to use the key phrase to select contextually relevant content to associate with the digital document, storing an indication of the determination in the memory device or another memory device. 6. The memory device of claim 1 , wherein the operations further comprise displaying a user interface that provides functionality for an operator to select or exclude the key phrase for use in an advertising campaign. | 0.592065 |
12. The context inference system according to claim 11 , wherein the context inference process comprises: receiving and collecting the at least one context information and the service information by using the information receiving unit and the information collection module; inferring the context based on the user preference information, the at least one context information, and the service information by using the inference module; and generating the recommendation information according to the context by using the inference module. | 12. The context inference system according to claim 11 , wherein the context inference process comprises: receiving and collecting the at least one context information and the service information by using the information receiving unit and the information collection module; inferring the context based on the user preference information, the at least one context information, and the service information by using the inference module; and generating the recommendation information according to the context by using the inference module. 13. The context inference system according to claim 12 , wherein the mobile device further comprises a display unit, the context operation platform further comprises a graphic guiding interface module, and the context inference process further comprises displaying the recommendation information in the display unit by using the graphic guiding interface module. | 0.80036 |
9. A computer implemented method comprising: rendering an interface for a resource application of a client device that includes a display area configured to present a resource; presenting the resource in the display area; exposing an annotation portion in the interface that is configured to enable input of annotations for the presented resource in accordance with a location setting of the client device associated with a user profile, the presented resource unmodified by the annotations, wherein the user profile is one of at least two user profiles associated with a user of the client device, and wherein each of the at least two user profiles is associated with a different location of the client device; receiving an annotation input via the annotation portion; and communicating with an annotation server to store the annotation for the presented resource at predetermined times in response to the receiving the annotation. | 9. A computer implemented method comprising: rendering an interface for a resource application of a client device that includes a display area configured to present a resource; presenting the resource in the display area; exposing an annotation portion in the interface that is configured to enable input of annotations for the presented resource in accordance with a location setting of the client device associated with a user profile, the presented resource unmodified by the annotations, wherein the user profile is one of at least two user profiles associated with a user of the client device, and wherein each of the at least two user profiles is associated with a different location of the client device; receiving an annotation input via the annotation portion; and communicating with an annotation server to store the annotation for the presented resource at predetermined times in response to the receiving the annotation. 14. The computer implemented method of claim 9 , further comprising: communicating an identifier to the annotation server; obtaining an annotation stored by the annotation server in association with the identifier; and presenting the annotation associated with the identifier via the annotation portion. | 0.698206 |
6. A method comprising: receiving, by a processor, a plurality of legal documents associated with a plurality of legal cases, where at least one of the plurality of legal cases is associated with a legal proceeding, the legal proceeding associated with a determination of a validity or invalidity of a patent, the patent containing at least one claim; performing data mining on the plurality of legal documents to identify structured, unstructured, or semi-structured data in the plurality of legal documents; storing the plurality of legal documents in one or more databases; applying, by the processor, one or more predetermined patterns to the plurality of legal documents including the identified structured, unstructured, or semi-structured data to identify reference data; analyzing the reference data to develop one or more analytical models, each analytical model pertaining to a different analytics parameter associated with a different attribute of the plurality of the legal documents; assessing the validity or invalidity of the patent based on the one or more analytical models; displaying the assessment of the validity or invalidity of the patent to one or more users through a dashboard graphical user interface on a web page; receiving a user input over a network, the user input selecting or deselecting one or more queries through the dashboard graphical user interface on the web page; updating the analytical model including the different analytics parameter based on the one or more selected or deselected queries; and displaying an updated assessment through the dashboard graphical user interface on the web page based on the updated analytics model. | 6. A method comprising: receiving, by a processor, a plurality of legal documents associated with a plurality of legal cases, where at least one of the plurality of legal cases is associated with a legal proceeding, the legal proceeding associated with a determination of a validity or invalidity of a patent, the patent containing at least one claim; performing data mining on the plurality of legal documents to identify structured, unstructured, or semi-structured data in the plurality of legal documents; storing the plurality of legal documents in one or more databases; applying, by the processor, one or more predetermined patterns to the plurality of legal documents including the identified structured, unstructured, or semi-structured data to identify reference data; analyzing the reference data to develop one or more analytical models, each analytical model pertaining to a different analytics parameter associated with a different attribute of the plurality of the legal documents; assessing the validity or invalidity of the patent based on the one or more analytical models; displaying the assessment of the validity or invalidity of the patent to one or more users through a dashboard graphical user interface on a web page; receiving a user input over a network, the user input selecting or deselecting one or more queries through the dashboard graphical user interface on the web page; updating the analytical model including the different analytics parameter based on the one or more selected or deselected queries; and displaying an updated assessment through the dashboard graphical user interface on the web page based on the updated analytics model. 7. The method of claim 6 , wherein: assessing the validity or invalidity of the patent includes determining a probability that the patent is valid, invalid, partially valid, or partially invalid; and displaying the assessment includes displaying the probability to the one or more users. | 0.607176 |
1. A system for clustering documents in datasets comprising: a storage device storing a first dataset and a second dataset; a cluster generator operative to cluster first documents in said first dataset and produce first document classes; a centroid seed generator operative to generate centroid seeds based on said first document classes; a dictionary generator adapted to generate a first dictionary of most common words in said first dataset; and a vector space model generator adapted to generate a first vector space model by counting, for each word in said first dictionary, a number of said first documents in which said word occurs, wherein said cluster generator clusters said documents in said first dataset based on said first vector space model, wherein said cluster generator clusters second documents in said second dataset using said centroid seeds, such that said second dataset has a similar, based on said centroid seeds, clustering to that of said first dataset, wherein said second dataset comprises a new, but related, dataset different than said first dataset, wherein said vector space model generator generates a second vector space model by counting, for each word in said first dictionary, a number of said second documents in which said word occurs; a classifier adapted to classify said second documents in said second vector space model using said first document classes to produce a classified second vector space model and adapted to determine a mean of vectors in each class in said classified second vector space model, wherein said mean comprises said centroid seeds. | 1. A system for clustering documents in datasets comprising: a storage device storing a first dataset and a second dataset; a cluster generator operative to cluster first documents in said first dataset and produce first document classes; a centroid seed generator operative to generate centroid seeds based on said first document classes; a dictionary generator adapted to generate a first dictionary of most common words in said first dataset; and a vector space model generator adapted to generate a first vector space model by counting, for each word in said first dictionary, a number of said first documents in which said word occurs, wherein said cluster generator clusters said documents in said first dataset based on said first vector space model, wherein said cluster generator clusters second documents in said second dataset using said centroid seeds, such that said second dataset has a similar, based on said centroid seeds, clustering to that of said first dataset, wherein said second dataset comprises a new, but related, dataset different than said first dataset, wherein said vector space model generator generates a second vector space model by counting, for each word in said first dictionary, a number of said second documents in which said word occurs; a classifier adapted to classify said second documents in said second vector space model using said first document classes to produce a classified second vector space model and adapted to determine a mean of vectors in each class in said classified second vector space model, wherein said mean comprises said centroid seeds. 2. The system in claim 1 , wherein: said dictionary generator is adapted to generate a second dictionary of most common words in said second dataset, said vector space model generator is adapted to generate a third vector space model by counting, for each word in said second dictionary, a number of said second documents in which said word occurs, and said cluster generator is adapted to cluster said second documents in said second dataset based on said third vector space model to produce a second dataset cluster. | 0.54385 |
1. A method for estimating advertisement inventory, comprising: clustering, using a processor, a plurality of viewed pages into a plurality of clusters to generate a plurality of page view probability vectors that includes a page view probability vector for each viewed page, said clustering based on a frequency of search keywords present in the viewed pages; clustering by the processor, a plurality of search keywords into the plurality of clusters to generate a plurality of keyword probability vectors that includes a keyword probability vector for each search keyword, the search keywords based on search keywords previously submitted by a plurality of users, and the plurality of viewed pages including previously viewed pages corresponding to the previously submitted search keywords; clustering the plurality of viewed pages into a plurality of clusters based on a time-decaying weighted frequency of the search keywords and an intensity value of the search keywords, present in the viewed pages; and estimating by the processor, a plurality of total inventories that includes an estimated total inventory for each cluster of the plurality of clusters. | 1. A method for estimating advertisement inventory, comprising: clustering, using a processor, a plurality of viewed pages into a plurality of clusters to generate a plurality of page view probability vectors that includes a page view probability vector for each viewed page, said clustering based on a frequency of search keywords present in the viewed pages; clustering by the processor, a plurality of search keywords into the plurality of clusters to generate a plurality of keyword probability vectors that includes a keyword probability vector for each search keyword, the search keywords based on search keywords previously submitted by a plurality of users, and the plurality of viewed pages including previously viewed pages corresponding to the previously submitted search keywords; clustering the plurality of viewed pages into a plurality of clusters based on a time-decaying weighted frequency of the search keywords and an intensity value of the search keywords, present in the viewed pages; and estimating by the processor, a plurality of total inventories that includes an estimated total inventory for each cluster of the plurality of clusters. 5. The method of claim 1 , further comprising: receiving a search retargeting segment that includes a set of search keywords; and estimating a deliverable inventory for the segment. | 0.597367 |
7. The consistency enforcement system of claim 1 , wherein the at least one XML object stored in the SOA registry comprises at least one transition XML element, the at least one transition XML element referencing at least one source processing task XML element and at least one target processing task XML element in order to define a sequence between the corresponding processing task XML elements. | 7. The consistency enforcement system of claim 1 , wherein the at least one XML object stored in the SOA registry comprises at least one transition XML element, the at least one transition XML element referencing at least one source processing task XML element and at least one target processing task XML element in order to define a sequence between the corresponding processing task XML elements. 10. The consistency enforcement system of claim 7 , wherein the validation unit is configured to reject the updated XML object when the updated XML object comprises at least one additional transition XML element defining a sequence of processing tasks that does not lead to the at least one additional processing task XML element. | 0.909907 |
31. A computer implemented method for processing database content, the method comprising the steps of: receiving one or more data objects associated with a database at one or more remote computers; parsing one or more source documents to identify at least one term based on one or more predetermined rules; identifying content for the at least one term; linking the content with the at least one term; and automatically associating the at least one term in the one or more source documents with at least one link; wherein the at least one link denotes an association between the at least one term and the linked content; wherein the one or more data objects associated with the database provide a representation of at least a portion of the database at the one or more remote computers; and wherein the linked content is displayed on a user interface based upon a user interaction with at least a portion of the one or more source documents. | 31. A computer implemented method for processing database content, the method comprising the steps of: receiving one or more data objects associated with a database at one or more remote computers; parsing one or more source documents to identify at least one term based on one or more predetermined rules; identifying content for the at least one term; linking the content with the at least one term; and automatically associating the at least one term in the one or more source documents with at least one link; wherein the at least one link denotes an association between the at least one term and the linked content; wherein the one or more data objects associated with the database provide a representation of at least a portion of the database at the one or more remote computers; and wherein the linked content is displayed on a user interface based upon a user interaction with at least a portion of the one or more source documents. 42. The method of claim 31 , wherein one or more of the predetermined rules are based on availability of content for a term. | 0.508885 |
1. A method for constructing learning data, comprising the steps of: (a) generating learning models by performing machine learning with respect to learning data; (b) attaching tags to a raw corpus automatically using the generated learning models to thereby generate learning data candidates; (c) calculating confidence scores of the generated learning data candidates, and selecting a learning data candidate by using the calculated confidence scores; and (d) allowing a user to correct an error in the selected learning data candidate through an interface and adding the error-corrected learning data candidate to the learning data, thereby adding new learning models incrementally. | 1. A method for constructing learning data, comprising the steps of: (a) generating learning models by performing machine learning with respect to learning data; (b) attaching tags to a raw corpus automatically using the generated learning models to thereby generate learning data candidates; (c) calculating confidence scores of the generated learning data candidates, and selecting a learning data candidate by using the calculated confidence scores; and (d) allowing a user to correct an error in the selected learning data candidate through an interface and adding the error-corrected learning data candidate to the learning data, thereby adding new learning models incrementally. 2. The method of claim 1 , wherein steps (a) through (d) are repeated with respect to the added learning data. | 0.700709 |
3. The computer-implemented method of claim 1 , wherein the weighting of each of the initial and related search parameters is calculated based on a direct weighting and a relative weighting; wherein the direct weighting is calculated based on either (i) a position of each of the one or more initial and related search parameters of the perimeter, or (ii) a distance of each of the one or more initial and related search parameters of the perimeter from a radial center of the multi-dimensional search space; and wherein the relative weighting is calculated based on a distance of each of the one or more initial and related search parameters of the perimeter to one or more of other user elements. | 3. The computer-implemented method of claim 1 , wherein the weighting of each of the initial and related search parameters is calculated based on a direct weighting and a relative weighting; wherein the direct weighting is calculated based on either (i) a position of each of the one or more initial and related search parameters of the perimeter, or (ii) a distance of each of the one or more initial and related search parameters of the perimeter from a radial center of the multi-dimensional search space; and wherein the relative weighting is calculated based on a distance of each of the one or more initial and related search parameters of the perimeter to one or more of other user elements. 4. The computer-implemented method of claim 3 , wherein the direct weighting and the relative weighting are derived from Euclidean coordinate points underlying the one or more initial and related search parameters of the perimeter. | 0.923382 |
54. A system comprising one or more processors: an input/output system; an auto-fill engine providing proposed values and corresponding likelihood assessments generated based on values entered in observed form fields using the input/output system, the likelihood assessments indicating relative probability of the proposed values being entered in one or more current form field objects in a current form instance; and a form presentation component displaying the current form instance using the input/output system such that one or more predicted values are displayed in connection with the one or more current form field objects, the one or more predicted values being selected from the proposed values based on the likelihood assessments, wherein the auto-fill engine provides the proposed values and the corresponding likelihood assessments based on a determination of semantic similarity among the one or more current form field objects and the observed form fields. | 54. A system comprising one or more processors: an input/output system; an auto-fill engine providing proposed values and corresponding likelihood assessments generated based on values entered in observed form fields using the input/output system, the likelihood assessments indicating relative probability of the proposed values being entered in one or more current form field objects in a current form instance; and a form presentation component displaying the current form instance using the input/output system such that one or more predicted values are displayed in connection with the one or more current form field objects, the one or more predicted values being selected from the proposed values based on the likelihood assessments, wherein the auto-fill engine provides the proposed values and the corresponding likelihood assessments based on a determination of semantic similarity among the one or more current form field objects and the observed form fields. 63. The system of claim 54 , wherein the form presentation component comprises a portion of a machine network browser. | 0.685379 |
23. The apparatus of claim 22 wherein the user input comprises a user request for information from the application and the application executes the user to generate a response, and wherein the processor filters the response to place it in a format suitable for processing by the dialogue manager. | 23. The apparatus of claim 22 wherein the user input comprises a user request for information from the application and the application executes the user to generate a response, and wherein the processor filters the response to place it in a format suitable for processing by the dialogue manager. 24. The apparatus of claim 23 wherein the dialogue manager is operative to clarify the user request by directing at least one question to the user, if executing the user request in the application led to any ambiguity, and to present the response to the user if executing the user request in the application did not lead to any ambiguity. | 0.859248 |
16. A method implemented in a computing device including one or more processors, comprising: receiving a plurality of descriptions associated with media content from a plurality of description providers, each description indicating one or more genres associated with the media content, wherein each of the genres represent a program type; utilizing the one or more processors for assigning a relative degree to each of the genres to indicate how related each genre is to the media content relative to another genre, wherein the relative degree assigned to each genre is based on a trust level associated with a description provider that provided a description that indicates the genre; and displaying for a user, the relative degree that was assigned to each of the genres. | 16. A method implemented in a computing device including one or more processors, comprising: receiving a plurality of descriptions associated with media content from a plurality of description providers, each description indicating one or more genres associated with the media content, wherein each of the genres represent a program type; utilizing the one or more processors for assigning a relative degree to each of the genres to indicate how related each genre is to the media content relative to another genre, wherein the relative degree assigned to each genre is based on a trust level associated with a description provider that provided a description that indicates the genre; and displaying for a user, the relative degree that was assigned to each of the genres. 17. The method as recited in claim 16 , wherein each genre is selected from a group of genres comprising action, adventure, horror, comedy, death, mystery, police involvement, thriller, political intrigue, romance, science fiction, period setting, lives drama, sports interest, animal interest, medical interest, legal interest, religious interest, historical interest, war interest, epic production, fantasy folklore, musical, western, monsters, teenage college, ethnic interest, and soap. | 0.675535 |
1. A method to generate selected tabular data from an object relational data model using a faceted interaction interface, the method comprising: providing, by a processor, a faceted interaction interface to specify a faceted query to provide the selected tabular data from the object relational data model, wherein the faceted query comprises at least one facet and at least one facet condition; constructing, by the processor, an object relational graph from a plurality of input object tables of the object relational data model, wherein constructing the object relational graph comprises creating a node of the object relational graph corresponding to each input object table; selecting, by the processor, each object in the object relational graph which contains the at least one facet; identifying, by the processor, each object in the object relational graph on which the at least one facet condition applies; generating, by the processor, at least one object group from the object relational graph, each object group comprising a path from a top level object which contains the at least one facet in the object relational graph to an object which contains the at least one facet and which does not have any children in the object relational graph; and generating, by the processor, an object table for each object group, wherein the object table comprises selected tabular data from the object relational data model. | 1. A method to generate selected tabular data from an object relational data model using a faceted interaction interface, the method comprising: providing, by a processor, a faceted interaction interface to specify a faceted query to provide the selected tabular data from the object relational data model, wherein the faceted query comprises at least one facet and at least one facet condition; constructing, by the processor, an object relational graph from a plurality of input object tables of the object relational data model, wherein constructing the object relational graph comprises creating a node of the object relational graph corresponding to each input object table; selecting, by the processor, each object in the object relational graph which contains the at least one facet; identifying, by the processor, each object in the object relational graph on which the at least one facet condition applies; generating, by the processor, at least one object group from the object relational graph, each object group comprising a path from a top level object which contains the at least one facet in the object relational graph to an object which contains the at least one facet and which does not have any children in the object relational graph; and generating, by the processor, an object table for each object group, wherein the object table comprises selected tabular data from the object relational data model. 7. The method of claim 1 , wherein generating at least one object group comprises generating the object group for each path from a top level node in the object relational graph to a lowest level node which does not have any children in the object relational graph. | 0.634006 |
9. An Fault Tree (FT) diagram generation aid method, comprising: an import procedure for obtaining a connection relationship of ruled lines and character strings from first data which is data of an FT diagram expressing a tree structure by the ruled lines and the character strings on a sheet of a spreadsheet program, acquiring an event included in the FT diagram and a connection relationship between events from an obtained connection relationship of the ruled lines and the character strings, and generating second data describing the tree structure of the FT diagram in a markup language based on the event included in the FT diagram and the connection relationship between events; and an editing procedure for editing the second data to generate third data describing the tree structure of the edited FT diagram in the markup language, wherein the import procedure generates the second data by: repeatedly executing first processing of setting a specific cell surrounded by a ruled line as a cell to be analyzed, discovering a lower event of the cell to be analyzed by following a ruled line extending on a right side of the cell to be analyzed and by searching a cell surrounded by a ruled line beyond the same, arranging an element of the lower event between a start tag and an end tag of the cell to be analyzed in the second data, and setting a cell of the lower event as a new cell to be analyzed until no additional new lower event is discovered after a cell of a top event is set as a first cell to be analyzed; repeatedly executing second processing of, when no additional new lower event is discovered, discovering a same-rank event of the cell to be analyzed by following a ruled line branching downward from a ruled line extending to a left side from the cell to be analyzed and by searching a cell surrounded by a ruled line beyond the same, arranging an element of the same-rank event in parallel with the element of the cell to be analyzed in the second data, setting the cell of the same-rank event as a new cell to be analyzed, and repeating the first processing until no additional new lower event is discovered, until no additional new same-rank event is discovered; and repeatedly executing third processing of, when no additional new same-rank event is discovered, setting a higher event of the same-rank event discovered immediately before as a new cell to be analyzed, and repeating the second processing until no additional new same-rank event is discovered, until the cell to be analyzed becomes the cell of the top event. | 9. An Fault Tree (FT) diagram generation aid method, comprising: an import procedure for obtaining a connection relationship of ruled lines and character strings from first data which is data of an FT diagram expressing a tree structure by the ruled lines and the character strings on a sheet of a spreadsheet program, acquiring an event included in the FT diagram and a connection relationship between events from an obtained connection relationship of the ruled lines and the character strings, and generating second data describing the tree structure of the FT diagram in a markup language based on the event included in the FT diagram and the connection relationship between events; and an editing procedure for editing the second data to generate third data describing the tree structure of the edited FT diagram in the markup language, wherein the import procedure generates the second data by: repeatedly executing first processing of setting a specific cell surrounded by a ruled line as a cell to be analyzed, discovering a lower event of the cell to be analyzed by following a ruled line extending on a right side of the cell to be analyzed and by searching a cell surrounded by a ruled line beyond the same, arranging an element of the lower event between a start tag and an end tag of the cell to be analyzed in the second data, and setting a cell of the lower event as a new cell to be analyzed until no additional new lower event is discovered after a cell of a top event is set as a first cell to be analyzed; repeatedly executing second processing of, when no additional new lower event is discovered, discovering a same-rank event of the cell to be analyzed by following a ruled line branching downward from a ruled line extending to a left side from the cell to be analyzed and by searching a cell surrounded by a ruled line beyond the same, arranging an element of the same-rank event in parallel with the element of the cell to be analyzed in the second data, setting the cell of the same-rank event as a new cell to be analyzed, and repeating the first processing until no additional new lower event is discovered, until no additional new same-rank event is discovered; and repeatedly executing third processing of, when no additional new same-rank event is discovered, setting a higher event of the same-rank event discovered immediately before as a new cell to be analyzed, and repeating the second processing until no additional new same-rank event is discovered, until the cell to be analyzed becomes the cell of the top event. 10. The FT diagram generation aid method according to claim 9 , further comprising: an export procedure for expressing the tree structure of the FT diagram by the ruled lines and the character strings on the sheet of the spreadsheet program based on the third data, wherein fourth data is generated. | 0.802632 |
1. A method for acquiring a network resource, comprising: extracting language configuration information of a browser; extracting language information from the language configuration information, wherein the language information is included in setting information of a language preference of each of a video, an audio, and a subtitle, and wherein extracting the language information includes: connecting the language information in the setting information using a comma to obtain a character string of the video, a character string of the audio, and a character string of the subtitle; and separating the character string of the video, the character string of the audio, and the character string of the subtitle into different pieces of language information according to the comma, wherein when there is a semicolon in the language information, a character string preceding the semicolon is extracted, and wherein when there is no semicolon in the language information, an entire character string is extracted; storing the language information into a language list by successively storing the language information into a corresponding language list of the video, the audio, or the subtitle; sending a hypertext transfer protocol (HTTP) request to a web server to request a media play page or a media list page; loading a web page returned by the web server; locating a position of a media element; matching a value of a language attribute of a specified resource element in the media element with the language information in the language list; selecting a media resource address; requesting a media resource from the web server according to the media resource address; loading the media resource; and presenting the web page including the media resource to a user. | 1. A method for acquiring a network resource, comprising: extracting language configuration information of a browser; extracting language information from the language configuration information, wherein the language information is included in setting information of a language preference of each of a video, an audio, and a subtitle, and wherein extracting the language information includes: connecting the language information in the setting information using a comma to obtain a character string of the video, a character string of the audio, and a character string of the subtitle; and separating the character string of the video, the character string of the audio, and the character string of the subtitle into different pieces of language information according to the comma, wherein when there is a semicolon in the language information, a character string preceding the semicolon is extracted, and wherein when there is no semicolon in the language information, an entire character string is extracted; storing the language information into a language list by successively storing the language information into a corresponding language list of the video, the audio, or the subtitle; sending a hypertext transfer protocol (HTTP) request to a web server to request a media play page or a media list page; loading a web page returned by the web server; locating a position of a media element; matching a value of a language attribute of a specified resource element in the media element with the language information in the language list; selecting a media resource address; requesting a media resource from the web server according to the media resource address; loading the media resource; and presenting the web page including the media resource to a user. 3. The method according to claim 1 , wherein before extracting the language configuration information of the browser, the method further comprises adding the setting information of the language preference of each of the video, the audio, and the subtitle to the language configuration information of the browser. | 0.794892 |
1. A system, comprising: a computer processor; and a memory containing a program that, when executed on the computer processor, performs an operation for processing data, comprising: receiving a plurality of electronic documents, wherein each electronic document is arranged according to a different, respective format comprising a plurality of headers; identifying a properties file associated with one of the electronic documents, the properties file defining a particular header of the respective format in the one electronic document, an action corresponding to a text portion associated with the particular header, and an extension class; instantiating a preprocessor for parsing the one electronic document based on the extension class, wherein the preprocessor is configured to parse only electronic documents arranged using the respective format; parsing the one electronic document to identify the particular header using the preprocessor; upon identifying the text portion associated with the particular header, performing the action to the text portion by assigning the text portion to a formatting element of a normalized format; and storing the text portion into a natural language processing (NLP) object based on the formatting element of the normalized format, wherein text in the NLP object is arranged based on the normalized format. | 1. A system, comprising: a computer processor; and a memory containing a program that, when executed on the computer processor, performs an operation for processing data, comprising: receiving a plurality of electronic documents, wherein each electronic document is arranged according to a different, respective format comprising a plurality of headers; identifying a properties file associated with one of the electronic documents, the properties file defining a particular header of the respective format in the one electronic document, an action corresponding to a text portion associated with the particular header, and an extension class; instantiating a preprocessor for parsing the one electronic document based on the extension class, wherein the preprocessor is configured to parse only electronic documents arranged using the respective format; parsing the one electronic document to identify the particular header using the preprocessor; upon identifying the text portion associated with the particular header, performing the action to the text portion by assigning the text portion to a formatting element of a normalized format; and storing the text portion into a natural language processing (NLP) object based on the formatting element of the normalized format, wherein text in the NLP object is arranged based on the normalized format. 4. The system of claim 1 , wherein the NLP object comprises text portions retrieved from other ones of the plurality of electronic documents, wherein the text portions are assigned to the formatting element of the normalized format. | 0.54722 |
27. A circuit pattern comparison apparatus for extracting a predetermined comparison pattern from an object of comparison represented by a circuit network having a set of nodes and node-to-node arcs or links, comprising: search pattern input means for inputting the predetermined comparison pattern; comparison order designating means for designating a comparison order of nodes contained in the predetermined search pattern input by said search pattern input means; normal comparison order knowledge input means for inputting normal comparison order knowledge independent of an individual pattern for the comparison order; comparison order synthesizing means for combining the normal comparison order knowledge input by said normal comparison order knowledge input means and the comparison order designated by said comparison order designating means to synthesize a new comparison order; and comparing means for comparing the predetermined search pattern to the object of comparison in accordance with the new comparison order synthesized by said comparison order synthesizing means to extract at least one portion of the object of comparison matched to said predetermined search pattern. | 27. A circuit pattern comparison apparatus for extracting a predetermined comparison pattern from an object of comparison represented by a circuit network having a set of nodes and node-to-node arcs or links, comprising: search pattern input means for inputting the predetermined comparison pattern; comparison order designating means for designating a comparison order of nodes contained in the predetermined search pattern input by said search pattern input means; normal comparison order knowledge input means for inputting normal comparison order knowledge independent of an individual pattern for the comparison order; comparison order synthesizing means for combining the normal comparison order knowledge input by said normal comparison order knowledge input means and the comparison order designated by said comparison order designating means to synthesize a new comparison order; and comparing means for comparing the predetermined search pattern to the object of comparison in accordance with the new comparison order synthesized by said comparison order synthesizing means to extract at least one portion of the object of comparison matched to said predetermined search pattern. 28. A circuit pattern comparison apparatus according to claim 27, further comprising comparison order editing means for performing editing on the new comparison order synthesized by said comparison order synthesizing means. | 0.616474 |
24. A method according to claim 23 wherein said smoothing substep includes smoothing in accordance with: ##EQU6## wherein Y.sub.1, Y.sub.2, . . . Y.sub.s are said smooth frame data sets, and wherein said b are integers greater than 1, a.sub.i are predetermined weighting coefficients, and c defines an offset of each smooth frame data set with respect to the next previous smooth frame data set. | 24. A method according to claim 23 wherein said smoothing substep includes smoothing in accordance with: ##EQU6## wherein Y.sub.1, Y.sub.2, . . . Y.sub.s are said smooth frame data sets, and wherein said b are integers greater than 1, a.sub.i are predetermined weighting coefficients, and c defines an offset of each smooth frame data set with respect to the next previous smooth frame data set. 25. A method according to claim 24 wherein said smoothing substep includes setting w=12, k=8, s=3, b=4, c=4, and a.sub.i =1/b. | 0.917083 |
1. A method of operating a data processing system to examine a compiled program for violations of a set of rules that do not constitute violations detected by a compiler used to compile the compiled program, said method comprising: obtaining a restricted rule set defined in terms of rules in a decompiled representation of said program, said restricted rule set prohibiting language commands that would otherwise be allowed by said compiler in a subset of classes in said compiled program while allowing said language commands in another class of said program; decompiling said compiled program to said decompiled representation of said compiled program in which said restricted rule set is defined; examining said decompiled representation of said compiled program for a violation of said restricted rule set to determine if any of said rules are violated; and providing an output indicating that one of said rules was violated, wherein said restricted rule set only applies to a portion of said compiled program and wherein decompiling said compiled program comprises decompiling said portion of said compiled program while not decompiling another portion of said compiled program, said portion of said compiled program comprising a set of sub-classes of a class, and wherein decompiling said program comprises identifying a location in said compiled program of instructions pertaining to said set of sub-classes, said data processing system generating a certificate if said compiled program does not violate said restricted rule set. | 1. A method of operating a data processing system to examine a compiled program for violations of a set of rules that do not constitute violations detected by a compiler used to compile the compiled program, said method comprising: obtaining a restricted rule set defined in terms of rules in a decompiled representation of said program, said restricted rule set prohibiting language commands that would otherwise be allowed by said compiler in a subset of classes in said compiled program while allowing said language commands in another class of said program; decompiling said compiled program to said decompiled representation of said compiled program in which said restricted rule set is defined; examining said decompiled representation of said compiled program for a violation of said restricted rule set to determine if any of said rules are violated; and providing an output indicating that one of said rules was violated, wherein said restricted rule set only applies to a portion of said compiled program and wherein decompiling said compiled program comprises decompiling said portion of said compiled program while not decompiling another portion of said compiled program, said portion of said compiled program comprising a set of sub-classes of a class, and wherein decompiling said program comprises identifying a location in said compiled program of instructions pertaining to said set of sub-classes, said data processing system generating a certificate if said compiled program does not violate said restricted rule set. 2. The method of claim 1 wherein said decompiled representation comprises an AST representation of a portion of said compiled program and said restricted rule set is defined in terms of said AST representation. | 0.550852 |
15. A system for providing language interpretation, comprising: an incoming call telephonic module that receives an incoming telephone call from a caller speaking a first language, wherein a language interpretation number can be used to place the incoming telephone call to a language interpretation for language interpretation, the incoming call telephonic module being associated with a language interpretation provider, the caller being greeted in the first language by an interpreter associated with the language interpretation provider; and an outgoing call telephonic module that permits the interpreter to telephonically engage an agent representing a first business entity, wherein the first business entity is selected over a second business entity from a group of business entities, wherein the first business entity is a subscriber for a subscription fee to the language interpretation provider for language interpretation for the first business entity, wherein second business entity is not a subscriber for a subscription fee to the language interpretation provider for language interpretation for the second business entity, wherein the agent speaks a second language and the interpreter interprets a conversation between the caller and the agent. | 15. A system for providing language interpretation, comprising: an incoming call telephonic module that receives an incoming telephone call from a caller speaking a first language, wherein a language interpretation number can be used to place the incoming telephone call to a language interpretation for language interpretation, the incoming call telephonic module being associated with a language interpretation provider, the caller being greeted in the first language by an interpreter associated with the language interpretation provider; and an outgoing call telephonic module that permits the interpreter to telephonically engage an agent representing a first business entity, wherein the first business entity is selected over a second business entity from a group of business entities, wherein the first business entity is a subscriber for a subscription fee to the language interpretation provider for language interpretation for the first business entity, wherein second business entity is not a subscriber for a subscription fee to the language interpretation provider for language interpretation for the second business entity, wherein the agent speaks a second language and the interpreter interprets a conversation between the caller and the agent. 17. The system of claim 15 , further comprising an interactive voice response system that identifies a business need of the caller. | 0.616165 |
1. A computer-implemented method to access trusted user generated content (UGC), the method comprising: receiving user registration information, the registration information including one or more identities for each user, each identity corresponding to a social network that is facilitated by one of a plurality of social network sites; collecting social relationships corresponding to the identities for each user from the plurality of social network sites; creating user extended social networks for each user by joining the collected social relationships, wherein an unregistered user is associated with an identity of the unregistered user in the one of the plurality of social network sites; collecting UGC from the plurality of social network sites; correlating the collected UGC with the extended social networks to identify an author of the UGC; filtering the correlated UGC according to access rules defined by a requesting user and according to share rules defined by the author of the UGC, wherein the access rules and the share rules are defined in any of the plurality of social network sites of the author; and providing the UGC to the requesting user, the UGC being available for presentation on a display. | 1. A computer-implemented method to access trusted user generated content (UGC), the method comprising: receiving user registration information, the registration information including one or more identities for each user, each identity corresponding to a social network that is facilitated by one of a plurality of social network sites; collecting social relationships corresponding to the identities for each user from the plurality of social network sites; creating user extended social networks for each user by joining the collected social relationships, wherein an unregistered user is associated with an identity of the unregistered user in the one of the plurality of social network sites; collecting UGC from the plurality of social network sites; correlating the collected UGC with the extended social networks to identify an author of the UGC; filtering the correlated UGC according to access rules defined by a requesting user and according to share rules defined by the author of the UGC, wherein the access rules and the share rules are defined in any of the plurality of social network sites of the author; and providing the UGC to the requesting user, the UGC being available for presentation on a display. 15. The method as recited in claim 1 , wherein providing content further includes, receiving a request from the requesting user to subscribe to a service that feeds content, filtering the feeds content according to the access rules, and presenting the filtered feed content. | 0.712944 |
33. The computer readable medium of claim 28 , wherein (B) further comprises: identifying a type of the structured document; identifying a best practice associated with the identified type; and determining whether the structured document includes an indication of compliance with the identified best practice to produce the conclusion. | 33. The computer readable medium of claim 28 , wherein (B) further comprises: identifying a type of the structured document; identifying a best practice associated with the identified type; and determining whether the structured document includes an indication of compliance with the identified best practice to produce the conclusion. 34. The computer readable medium of claim 33 , further comprising determining whether the structured document includes an indication of compliance with a universal best practice. | 0.828789 |
1. A method of generating electronic documents, comprising: maintaining a library of textual components, displaying a first textual document including a first plurality of the textual components in a word processor window, responding to user input by a first user to an interface of the work processor to edit the first textual document while the document is displayed in the word processor window, maintaining a database of marks identifying each of the components within the document displayed in the word processor window, displaying a second textual document including a second plurality of the textual components in a word processor window, responding to user input by a second user to the interface of the word processor to edit the second textural document including a second plurality of the textual components the first plurality including one or more textual components from the second plurality, detecting when one of the textual components that belongs to both the first plurality of textual components and the second plurality of textual components is updated in one of the first and second textual documents, prompting the user of the other of the first and second textual documents to accept or reject changes made to the one of the textual components, in response to the step of updating, generating in response to user input to the interface of the word processor a second version of the first textual document that includes textual components that were updated in the step of updating, and generating in response to user input to the interface of the word processor a second version of the second textual document that includes textual components that were updated in the step of updating. | 1. A method of generating electronic documents, comprising: maintaining a library of textual components, displaying a first textual document including a first plurality of the textual components in a word processor window, responding to user input by a first user to an interface of the work processor to edit the first textual document while the document is displayed in the word processor window, maintaining a database of marks identifying each of the components within the document displayed in the word processor window, displaying a second textual document including a second plurality of the textual components in a word processor window, responding to user input by a second user to the interface of the word processor to edit the second textural document including a second plurality of the textual components the first plurality including one or more textual components from the second plurality, detecting when one of the textual components that belongs to both the first plurality of textual components and the second plurality of textual components is updated in one of the first and second textual documents, prompting the user of the other of the first and second textual documents to accept or reject changes made to the one of the textual components, in response to the step of updating, generating in response to user input to the interface of the word processor a second version of the first textual document that includes textual components that were updated in the step of updating, and generating in response to user input to the interface of the word processor a second version of the second textual document that includes textual components that were updated in the step of updating. 19. The method of claim 1 wherein the step of maintaining the library maintains information on each of the component's name, description, and classifications. | 0.53941 |
1. An information transmission system, comprising a master station, a plurality of remote sensors each for transmitting information signals to the master station by radio when it detects a local change in conditions, each signal being transmitted in a message in which it is associated with an access code identifying the signal as being intended for that particular master station, each sensor transmitting each signal a plurality of times in succession in the message, the master station comprising recognition means operative to recognise signals ony when the format of each received message agrees with a predetermined format, each received signal is received in association with the said access code, and at least a predetermined plurality of identical signals are received within a predetermined time, each sensor in a group which comprises at least some predetermined and physically adjacent ones of the sensors including means responsive to the identity of the particular sensor for controlling the length of the gaps between the successive signals in each message which it transmits so as to render that length dependent on the identity of the sensor and different from the corresponding length applicable to the or each other of the sensors in the said group whereby to prevent the signals produced by any one of the sensors in the said group in response to occurrence of a local change in conditions from masking or corrupting the signals produced by any other one of the sensors in the said group in response to occurrence of the same local change in conditions. | 1. An information transmission system, comprising a master station, a plurality of remote sensors each for transmitting information signals to the master station by radio when it detects a local change in conditions, each signal being transmitted in a message in which it is associated with an access code identifying the signal as being intended for that particular master station, each sensor transmitting each signal a plurality of times in succession in the message, the master station comprising recognition means operative to recognise signals ony when the format of each received message agrees with a predetermined format, each received signal is received in association with the said access code, and at least a predetermined plurality of identical signals are received within a predetermined time, each sensor in a group which comprises at least some predetermined and physically adjacent ones of the sensors including means responsive to the identity of the particular sensor for controlling the length of the gaps between the successive signals in each message which it transmits so as to render that length dependent on the identity of the sensor and different from the corresponding length applicable to the or each other of the sensors in the said group whereby to prevent the signals produced by any one of the sensors in the said group in response to occurrence of a local change in conditions from masking or corrupting the signals produced by any other one of the sensors in the said group in response to occurrence of the same local change in conditions. 2. A system according to claim 1, in which the recognition means includes means operative to indicate recognition only when four identical signals are received within said predetermined time. | 0.546097 |
1. A method, comprising: at a mobile electronic device with a display: displaying a current set of characters in response to receiving a sequence of character entry commands, wherein the current set of characters includes a current sequence of words; receiving deletion commands that specify characters to sequentially delete from the current set of characters, wherein each respective deletion command deletes a respective character; in response to receiving the deletion commands that specify characters to delete from the current set of characters, deleting characters from the current set of characters, wherein the deleted characters include a plurality of adjacent words from the current sequence of words; and after deleting characters from the current set of characters in response to receiving the deletion commands: receiving one or more character entry commands that specify characters to add to the current set of characters; and displaying replay recommendations to be added to the current set of characters, wherein the replay recommendations include at least a subset of deleted words in the plurality of adjacent words from the deleted characters and are presented in a reverse sequential order relative to an order in which at least the subset of the deleted words in the plurality of adjacent words was deleted; receiving a first recommended word selection command that accepts a first recommended word in the replay recommendations; in response to receiving the first recommended word selection command that accepts the first recommended word in the replay recommendations: removing the first recommended word from the provided replay recommendations; and adding the first recommended word to the current set of characters. | 1. A method, comprising: at a mobile electronic device with a display: displaying a current set of characters in response to receiving a sequence of character entry commands, wherein the current set of characters includes a current sequence of words; receiving deletion commands that specify characters to sequentially delete from the current set of characters, wherein each respective deletion command deletes a respective character; in response to receiving the deletion commands that specify characters to delete from the current set of characters, deleting characters from the current set of characters, wherein the deleted characters include a plurality of adjacent words from the current sequence of words; and after deleting characters from the current set of characters in response to receiving the deletion commands: receiving one or more character entry commands that specify characters to add to the current set of characters; and displaying replay recommendations to be added to the current set of characters, wherein the replay recommendations include at least a subset of deleted words in the plurality of adjacent words from the deleted characters and are presented in a reverse sequential order relative to an order in which at least the subset of the deleted words in the plurality of adjacent words was deleted; receiving a first recommended word selection command that accepts a first recommended word in the replay recommendations; in response to receiving the first recommended word selection command that accepts the first recommended word in the replay recommendations: removing the first recommended word from the provided replay recommendations; and adding the first recommended word to the current set of characters. 6. The method of claim 1 , further comprising automatically inserting a space after character entry commands for each word in the current set of characters are received. | 0.587943 |
6. The humanoid robot of claim 5 , wherein the first channel comprises a filter for voice recognition of the messages received by a list of expressions with each of which is associated an expected recognition rate and in that the content of said second message is chosen by a heuristic from a group of requests comprising a request for repetition of said first message on the first channel, a request for confirmation by a third message to be sent by the interlocutor on the first channel of a subset of the expressions of the filter, and a request for sending by the interlocutor of at least another message on at least a third channel. | 6. The humanoid robot of claim 5 , wherein the first channel comprises a filter for voice recognition of the messages received by a list of expressions with each of which is associated an expected recognition rate and in that the content of said second message is chosen by a heuristic from a group of requests comprising a request for repetition of said first message on the first channel, a request for confirmation by a third message to be sent by the interlocutor on the first channel of a subset of the expressions of the filter, and a request for sending by the interlocutor of at least another message on at least a third channel. 9. The humanoid robot of claim 6 , wherein said third channel is a channel for tactile reception or for receiving gestures from a part of the robot. | 0.821832 |
14. A computer executable program stored on a computer-readable storage medium and configured to make a computer manage electronically recorded document files, the program comprising instructions for performing the steps of: a step for inputting information by an operator; a step for editing a virtual combination object based on the information inputted in said input step, the virtual combination object denoting an object that has a first data region and virtually combining document files, wherein the first data region includes information for managing the document files to be virtually combined, including an order relation between the document files, and a setting position of the index object to be set immediately before or immediately after the virtually combined document file, or immediately before or immediately after a page constituting the document file; a step for editing an index object based on the information inputted in said input step, the index object denoting an object that has a second data region and manages at least one or more document files included in the document files virtually combined by the virtual combination object or one or more pages constituting the document file, a s a subgroup in the virtual combination object, wherein the second data region includes information on setting for processing the subgroup and a parameter according to the process setting; and a step for managing and processing the document files based on the information recorded in the virtual combination object and the index object. | 14. A computer executable program stored on a computer-readable storage medium and configured to make a computer manage electronically recorded document files, the program comprising instructions for performing the steps of: a step for inputting information by an operator; a step for editing a virtual combination object based on the information inputted in said input step, the virtual combination object denoting an object that has a first data region and virtually combining document files, wherein the first data region includes information for managing the document files to be virtually combined, including an order relation between the document files, and a setting position of the index object to be set immediately before or immediately after the virtually combined document file, or immediately before or immediately after a page constituting the document file; a step for editing an index object based on the information inputted in said input step, the index object denoting an object that has a second data region and manages at least one or more document files included in the document files virtually combined by the virtual combination object or one or more pages constituting the document file, a s a subgroup in the virtual combination object, wherein the second data region includes information on setting for processing the subgroup and a parameter according to the process setting; and a step for managing and processing the document files based on the information recorded in the virtual combination object and the index object. 20. The computer executable program according to claim 14 , wherein upon receipt of an operation command in units of index objects in said input step, said document file management step performs an operation, included in operations commanded by the operation command, on the document file or document files or the page or pages in the document file which are included in the subgroup defined by the index object. | 0.670815 |
17. A method performed by a provisioning source that provisions at least one computer program product to a mobile computing device, the method comprising: receiving, by a provisioning source, from a mobile computing device, via at least one network interface configured for communicating with the mobile computing device, a request to download at least one computer program product from the provisioning source to the mobile computing device, wherein the provisioning source comprises at least one computer processor, comprises non-transitory computer readable memory operatively connected to the at least one computer processor, and is configured to store executable computer code and the at least one computer program product, and wherein the at least one computer program product comprises executable computer code and at least one structured document, and wherein the mobile computing device comprises at least one computer processor configured to execute computer code, non-transitory computer readable memory operatively connected to the at least one computer processor and configured to store the at least one computer program product, and at least one network interface configured to communicate with the provisioning source; and sending, by the provisioning source, via the at least one network interface configured for communicating with the mobile computing device, the requested at least one computer program product to the mobile computing device, wherein when stored on the non-transitory computer readable memory of the mobile computing device and when executed by the at least one computer processor of the mobile computing device, the downloaded computer program product will perform a method for using the computer program product on the mobile computing device, the method to be performed comprising: executing, by the mobile computing device, the computer program product received from the provisioning source, the computer program product including at least programming code and the at least one structured document that together describe at least a portion of functionality provided by the computer program product; populating, by an abstraction layer executing on the mobile computing device, a Document Object Model (“DOM”) structure, the DOM structure at least in part representing the running state of the computer program product consistent with the portion of functionality provided by the computer program product described in the received at least one structured document and the received programming code; presenting, by the abstraction layer, a device-independent application user interface responsive to the DOM structure; receiving, by the computer program product, a user input event from within the rendered device-independent application user interface; receiving, by the programming code referenced by the DOM structure, from the abstraction layer, the input event; reconfiguring, by the programming code referenced by the DOM structure, in response to the received input event, the DOM structure to update the running state of the computer program product based on a response by the computer program product, to the received input event; and updating, by the abstraction layer, the device-independent application user interface, responsive to the reconfiguring of the DOM structure. | 17. A method performed by a provisioning source that provisions at least one computer program product to a mobile computing device, the method comprising: receiving, by a provisioning source, from a mobile computing device, via at least one network interface configured for communicating with the mobile computing device, a request to download at least one computer program product from the provisioning source to the mobile computing device, wherein the provisioning source comprises at least one computer processor, comprises non-transitory computer readable memory operatively connected to the at least one computer processor, and is configured to store executable computer code and the at least one computer program product, and wherein the at least one computer program product comprises executable computer code and at least one structured document, and wherein the mobile computing device comprises at least one computer processor configured to execute computer code, non-transitory computer readable memory operatively connected to the at least one computer processor and configured to store the at least one computer program product, and at least one network interface configured to communicate with the provisioning source; and sending, by the provisioning source, via the at least one network interface configured for communicating with the mobile computing device, the requested at least one computer program product to the mobile computing device, wherein when stored on the non-transitory computer readable memory of the mobile computing device and when executed by the at least one computer processor of the mobile computing device, the downloaded computer program product will perform a method for using the computer program product on the mobile computing device, the method to be performed comprising: executing, by the mobile computing device, the computer program product received from the provisioning source, the computer program product including at least programming code and the at least one structured document that together describe at least a portion of functionality provided by the computer program product; populating, by an abstraction layer executing on the mobile computing device, a Document Object Model (“DOM”) structure, the DOM structure at least in part representing the running state of the computer program product consistent with the portion of functionality provided by the computer program product described in the received at least one structured document and the received programming code; presenting, by the abstraction layer, a device-independent application user interface responsive to the DOM structure; receiving, by the computer program product, a user input event from within the rendered device-independent application user interface; receiving, by the programming code referenced by the DOM structure, from the abstraction layer, the input event; reconfiguring, by the programming code referenced by the DOM structure, in response to the received input event, the DOM structure to update the running state of the computer program product based on a response by the computer program product, to the received input event; and updating, by the abstraction layer, the device-independent application user interface, responsive to the reconfiguring of the DOM structure. 22. The method of claim 17 , wherein the mobile computing device accesses the provisioning source at least in part using an inter-network. | 0.551771 |
13. A data management system, the system comprising: an input interface for acquiring a source document; and a processor configured to: (a) divide the source document into multiple objects in response to content of the source document; the multiple objects comprise sections and fragments, each section comprises a plurality of fragments; (b) analyze the multiple objects to generate multiple low level sub-trees, wherein each of the low level sub-trees is associated with a unique section of the source document and comprises a link to each one of the low level sub-tree that are associated with the plurality of the fragments of the unique section; (c) generate multiple mid- level sub-trees, wherein each of the mid- level sub-trees comprises link to at least one of the low level sub-trees; (d) generate a top level sub-tree that comprises multiple section links, wherein each of the section links links to one of the mid-level sub-trees; (e) create metadata descriptive of at least one of the sub-trees generated, wherein the metadata comprises data which is not comprised in the source document; and (f) generate a structured document that comprises the top level sub-tree, at least some of the mid-level sub-trees and at least some of the low level sub-trees, and the metadata; wherein a generation of the structured document comprises writing the structured document to a tangible memory; wherein the processor is further adapted to: retrieve one of the objects, wherein a retrieval of one of the object comprises acquiring from the to level sub-tree a link to a mid-level sub-tree, acquiring from the mid-level sub-tree a link to a low level sub-tree and retrieving the object from the low level sub-tree; and create an event handler for a sub-tree wherein the event handler is included in the sub-tree; wherein the system comprises an event manager, configured to carry out an action which is indicated in an event handler that is stored in one of the generated sub-trees, if an event that is indicated in the event handler occurred. | 13. A data management system, the system comprising: an input interface for acquiring a source document; and a processor configured to: (a) divide the source document into multiple objects in response to content of the source document; the multiple objects comprise sections and fragments, each section comprises a plurality of fragments; (b) analyze the multiple objects to generate multiple low level sub-trees, wherein each of the low level sub-trees is associated with a unique section of the source document and comprises a link to each one of the low level sub-tree that are associated with the plurality of the fragments of the unique section; (c) generate multiple mid- level sub-trees, wherein each of the mid- level sub-trees comprises link to at least one of the low level sub-trees; (d) generate a top level sub-tree that comprises multiple section links, wherein each of the section links links to one of the mid-level sub-trees; (e) create metadata descriptive of at least one of the sub-trees generated, wherein the metadata comprises data which is not comprised in the source document; and (f) generate a structured document that comprises the top level sub-tree, at least some of the mid-level sub-trees and at least some of the low level sub-trees, and the metadata; wherein a generation of the structured document comprises writing the structured document to a tangible memory; wherein the processor is further adapted to: retrieve one of the objects, wherein a retrieval of one of the object comprises acquiring from the to level sub-tree a link to a mid-level sub-tree, acquiring from the mid-level sub-tree a link to a low level sub-tree and retrieving the object from the low level sub-tree; and create an event handler for a sub-tree wherein the event handler is included in the sub-tree; wherein the system comprises an event manager, configured to carry out an action which is indicated in an event handler that is stored in one of the generated sub-trees, if an event that is indicated in the event handler occurred. 23. The system according to claim 13 , wherein the processor is configured to create semantic tags for multiple sub-trees of the structured document, to create a tag cloud of semantic tags for one of the sub-trees; to create a tag cloud of semantic tags of at least a portion of the structured document which excludes the sub-tree; and to create metadata in response to a result of a comparison between the tag clouds. | 0.516209 |
8. A computer program product for image recreation, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising: an executable portion configured for receiving, from an automated teller machine (ATM), an indication of a user transaction between a user and a merchant for a product or service, wherein receiving the indication of the user transaction comprises receiving an image of the transaction documents associated with the user transaction; an executable portion configured for determining data from the transaction documents associated with the user transaction, wherein the determined data is stored as text data, wherein the stored text data comprises a description the product or service of the user transaction; an executable portion configured for determining elements from the transaction documents associated with the user transaction, wherein elements are captured images of the transaction documents, wherein the captured elements are stored as image data; an executable portion configured for determining that the transaction documents contains a handwritten signature; an executable portion configured for capturing an image of the handwritten signature; an executable portion configured for storing a copy of the image of the handwritten signature; an executable portion configured for receiving a request for a copy of an image of one or more of the transaction documents associated with the user transaction, wherein the copy of an image is a generated image representing the image of the transaction documents associated with the user transaction; an executable portion configured for retrieving the stored text data and the stored image data from the one or more transaction documents based requested; an executable portion configured for merging the retrieved stored text data and the copy of the image of the handwritten signature onto a template from the one or more transaction documents to create a copy of the image of the one or more transaction documents requested, wherein merging the copy of the handwritten signature is based on determining that the transaction documents contains a handwritten signature; an executable portion configured for analyzing user transaction habits based on a compiling of the stored text data from the transaction documents associated with one or more user transactions; an executable portion configured for determining, from the user transaction habits, one or more potential product recommendations for the user based on analyzing the user transaction habits; and an executable portion configured for communicating, to the ATM, at least the one or more potential product recommendations for the user, and the copy of the image of the one or more transaction documents requested. | 8. A computer program product for image recreation, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising: an executable portion configured for receiving, from an automated teller machine (ATM), an indication of a user transaction between a user and a merchant for a product or service, wherein receiving the indication of the user transaction comprises receiving an image of the transaction documents associated with the user transaction; an executable portion configured for determining data from the transaction documents associated with the user transaction, wherein the determined data is stored as text data, wherein the stored text data comprises a description the product or service of the user transaction; an executable portion configured for determining elements from the transaction documents associated with the user transaction, wherein elements are captured images of the transaction documents, wherein the captured elements are stored as image data; an executable portion configured for determining that the transaction documents contains a handwritten signature; an executable portion configured for capturing an image of the handwritten signature; an executable portion configured for storing a copy of the image of the handwritten signature; an executable portion configured for receiving a request for a copy of an image of one or more of the transaction documents associated with the user transaction, wherein the copy of an image is a generated image representing the image of the transaction documents associated with the user transaction; an executable portion configured for retrieving the stored text data and the stored image data from the one or more transaction documents based requested; an executable portion configured for merging the retrieved stored text data and the copy of the image of the handwritten signature onto a template from the one or more transaction documents to create a copy of the image of the one or more transaction documents requested, wherein merging the copy of the handwritten signature is based on determining that the transaction documents contains a handwritten signature; an executable portion configured for analyzing user transaction habits based on a compiling of the stored text data from the transaction documents associated with one or more user transactions; an executable portion configured for determining, from the user transaction habits, one or more potential product recommendations for the user based on analyzing the user transaction habits; and an executable portion configured for communicating, to the ATM, at least the one or more potential product recommendations for the user, and the copy of the image of the one or more transaction documents requested. 11. The computer program product of claim 8 , wherein determining elements from the transaction documents associated with the user transaction wherein elements are captured images of the transaction documents, further comprises determining elements that are unique to the transaction documents. | 0.516836 |
1. A method for searching for information in a distributed data processing system, the method comprising: providing a semantics-based search index by storing in the semantics-bases search index search keywords from documents according to semantics from selected document structure templates, the document structure templates selected in dependence upon the structures of the documents and upon model document structures in the document structure templates; establishing a search scope corresponding to semantics supported by the semantics-based search index; receiving from a client a search query message comprising search terms and, optionally, the search scope; retrieving, from the semantics-based search index, index entries satisfying the search terms and the search scope; creating from the retrieved index entries a search result message; and transmitting the search result message to the client. | 1. A method for searching for information in a distributed data processing system, the method comprising: providing a semantics-based search index by storing in the semantics-bases search index search keywords from documents according to semantics from selected document structure templates, the document structure templates selected in dependence upon the structures of the documents and upon model document structures in the document structure templates; establishing a search scope corresponding to semantics supported by the semantics-based search index; receiving from a client a search query message comprising search terms and, optionally, the search scope; retrieving, from the semantics-based search index, index entries satisfying the search terms and the search scope; creating from the retrieved index entries a search result message; and transmitting the search result message to the client. 8. The method of claim 1 wherein the distributed data processing system comprises a multiplicity of computers coupled for data communications, wherein the computers coupled for data communications further comprise clients and servers. | 0.855828 |
3. The method of claim 1 further comprising: Providing at least one of the at least one suggested inquiry area, suggested inquiry construct, and generated search argument, or any combination thereof, to the at least one user in a manner which allows at least one of the at least one suggested inquiry area, suggested inquiry construct, and generated search argument to be reviewed by the user. | 3. The method of claim 1 further comprising: Providing at least one of the at least one suggested inquiry area, suggested inquiry construct, and generated search argument, or any combination thereof, to the at least one user in a manner which allows at least one of the at least one suggested inquiry area, suggested inquiry construct, and generated search argument to be reviewed by the user. 6. The method of claim 3 wherein the review provided to the user includes controls to sequence at least one of suggested inquiry areas, suggested inquiry constructs and search arguments, or any combination thereof. | 0.846785 |
4. The method according to claim 1 wherein the information which is not to be translated comprises terms found in a local dictionary of terms. | 4. The method according to claim 1 wherein the information which is not to be translated comprises terms found in a local dictionary of terms. 5. The method according to claim 4 wherein the local dictionary of terms comprises terms for which the local dictionary holds a source term, the source term comprising a first term found in the document, and a translated term corresponding to a translation of the source term. | 0.902533 |
1. A method of extracting information from a text input received by a natural language understanding system, comprising: parsing the text input to extract a plurality of features from the text input; processing each of the plurality of features through a plurality of statistical models to obtain at least one value; searching the text input for at least one named entity; determining a value for a feature based upon the at least one named entity located within the text input; combining, via a processor, one value for each of the plurality of features to create a complex information target; and outputting the complex information target, wherein the complex information target indicates a meaning for the text input. | 1. A method of extracting information from a text input received by a natural language understanding system, comprising: parsing the text input to extract a plurality of features from the text input; processing each of the plurality of features through a plurality of statistical models to obtain at least one value; searching the text input for at least one named entity; determining a value for a feature based upon the at least one named entity located within the text input; combining, via a processor, one value for each of the plurality of features to create a complex information target; and outputting the complex information target, wherein the complex information target indicates a meaning for the text input. 3. The method of claim 1 , further comprising: determining a value for a first feature in the text input; and selecting one of the plurality of statistical models based upon the value determined for the first feature. | 0.689189 |
1. A method, comprising: identifying, in a first query, a first expression that includes a column name identifying a table column; and rewriting said first query to form a second query that includes a conditional expression that returns a value from the table column only when a condition is satisfied; wherein rewriting said first query to form said second query includes creating: (a) a second expression that includes a first alias that refers by said column name to said conditional expression, and (b) a third expression that includes a second alias that refers to said table column; wherein the method is performed by one or more computing devices. | 1. A method, comprising: identifying, in a first query, a first expression that includes a column name identifying a table column; and rewriting said first query to form a second query that includes a conditional expression that returns a value from the table column only when a condition is satisfied; wherein rewriting said first query to form said second query includes creating: (a) a second expression that includes a first alias that refers by said column name to said conditional expression, and (b) a third expression that includes a second alias that refers to said table column; wherein the method is performed by one or more computing devices. 9. The method of claim 1 , wherein the third expression is a clone of the first expression, wherein the second query includes a predicate that conjunctively joins the third expression with the second expression that is derived based on both the first expression and an access control policy, and wherein the conditional expression returns null when the condition is not satisfied. | 0.573826 |
1. A server for facilitating a knowledge management system, wherein the server communicates with client computers via a distributed computing network, and wherein the server comprises: (a) a memory storing an instruction set, a first database related to work-product documents of a law firm, and a second database related to non-work-product legal precedence; and (b) a processor for running the instruction set, the processor being in communication with the memory and the distributed computing network, wherein the processor is operative to perform the following steps: (i) receive a query from an agent of a law firm operating one of the client computers, wherein the processor receives the query and provides, to the agent for display on a graphical user interface, a taxonomy of legal topics for selection by the agent, with selection of one or more of the legal topics indicative of the query being received; (ii) search the first and second databases for content related to the query; (iii) retrieve a first set of work-product documents of the law firm from the first database based upon the search step, wherein the first set of work-product documents is stored in a third database in one of the client computers, wherein the first set of work product documents is converted into a markup language and subsequently indexed based on legal citations and text to permit the work product documents to be searched, and the work-product documents are internal law-firm content; (iv) retrieve a second set of non-work-product legal precedence from the second database based upon the search step; and (v) provide, to the agent for display on a graphical user interface, at least a portion of the work-product documents and the non-work-product legal precedence from the first and second sets including citations within the work-product documents and the non-work-product legal precedence, wherein at least one of the citations is associated with an indicator of current reliability of a corresponding document as a legal authority, wherein each provided work-product document is associated with a depth-of-treatment indicator indicating a degree to which the provided work-product document treats a legal case and one or more of the provided work-product documents are associated with a feedback indicator selected to view one or more user comments on the one or more listed work-product documents. | 1. A server for facilitating a knowledge management system, wherein the server communicates with client computers via a distributed computing network, and wherein the server comprises: (a) a memory storing an instruction set, a first database related to work-product documents of a law firm, and a second database related to non-work-product legal precedence; and (b) a processor for running the instruction set, the processor being in communication with the memory and the distributed computing network, wherein the processor is operative to perform the following steps: (i) receive a query from an agent of a law firm operating one of the client computers, wherein the processor receives the query and provides, to the agent for display on a graphical user interface, a taxonomy of legal topics for selection by the agent, with selection of one or more of the legal topics indicative of the query being received; (ii) search the first and second databases for content related to the query; (iii) retrieve a first set of work-product documents of the law firm from the first database based upon the search step, wherein the first set of work-product documents is stored in a third database in one of the client computers, wherein the first set of work product documents is converted into a markup language and subsequently indexed based on legal citations and text to permit the work product documents to be searched, and the work-product documents are internal law-firm content; (iv) retrieve a second set of non-work-product legal precedence from the second database based upon the search step; and (v) provide, to the agent for display on a graphical user interface, at least a portion of the work-product documents and the non-work-product legal precedence from the first and second sets including citations within the work-product documents and the non-work-product legal precedence, wherein at least one of the citations is associated with an indicator of current reliability of a corresponding document as a legal authority, wherein each provided work-product document is associated with a depth-of-treatment indicator indicating a degree to which the provided work-product document treats a legal case and one or more of the provided work-product documents are associated with a feedback indicator selected to view one or more user comments on the one or more listed work-product documents. 8. The server of claim 1 , wherein the query includes an identification of a legal case. | 0.806755 |
11. An automated computer implemented method comprising: receiving, by a processor, an insertion request from within a receiving document; receiving, in response to said insertion request, a pixelated image document by said processor; identifying, by said processor, from said image document a map set of pixel coordinates defining the position of a select image portion on said image document; deconstructing said select image portion, by said processor, into subunits and associating said subunits with a subunit map set of pixel coordinates; converting said select image portion to data in a standard format; reviewing automatically, by said processor, a history of prior data previously collected from prior image documents; searching said history of prior data previously collected, wherein said data is mapped and collected to a collection system based on said prior data by: creating a unique pointer, by said processor, to said image document as a result of defining the position of said select image portion associated with said map set of pixel coordinates, and storing, in a database, said unique pointer and said deconstructed subunits in association with said subunit map set of pixel coordinates to said image document; incorporating, by said processor, into said receiving document said unique pointer and a representation of said deconstructed subunits; providing from said receiving document access to said select image at said subunit map set of pixel coordinates of said image document at a later time. | 11. An automated computer implemented method comprising: receiving, by a processor, an insertion request from within a receiving document; receiving, in response to said insertion request, a pixelated image document by said processor; identifying, by said processor, from said image document a map set of pixel coordinates defining the position of a select image portion on said image document; deconstructing said select image portion, by said processor, into subunits and associating said subunits with a subunit map set of pixel coordinates; converting said select image portion to data in a standard format; reviewing automatically, by said processor, a history of prior data previously collected from prior image documents; searching said history of prior data previously collected, wherein said data is mapped and collected to a collection system based on said prior data by: creating a unique pointer, by said processor, to said image document as a result of defining the position of said select image portion associated with said map set of pixel coordinates, and storing, in a database, said unique pointer and said deconstructed subunits in association with said subunit map set of pixel coordinates to said image document; incorporating, by said processor, into said receiving document said unique pointer and a representation of said deconstructed subunits; providing from said receiving document access to said select image at said subunit map set of pixel coordinates of said image document at a later time. 18. The method of claim 11 wherein said select image portion of said document is identified by a mouse-over gesture. | 0.530257 |
23. An article of manufacture including a non-transitory computer-readable medium having instructions stored thereon that, wherein the instructions are configured to cause a computing device, in response to execution of the instructions by the computing device, to perform operations comprising: selecting an object rendered on a display, wherein the object is associated with an application that includes a first call to a program, wherein the first call is configured to cause the program to render the object on the display; receiving a plurality of annotations associated with the selected object; determining the verbosity level of each annotation of the plurality of annotations, wherein each of the plurality of annotations includes a different verbosity level, and wherein for any two of the annotations associated with the selected object and having different verbosity levels, a first annotation associated with a first verbosity level represents information in a textually-shortened form from information represented in a second of the two annotations with a second verbosity level higher than the first verbosity level, and wherein the first annotation associated with the lower verbosity level comprises an icon; and during execution of the application, and prior to execution of the first call, replacing the first call with a second call to be executed in place of the first call, wherein the second call is different from the first call and is itself configured to both render the plurality of annotations on the display and to cause the program to render the object without requiring execution of the first call, wherein the second call is configured to render the annotations individually based on a requested verbosity level. | 23. An article of manufacture including a non-transitory computer-readable medium having instructions stored thereon that, wherein the instructions are configured to cause a computing device, in response to execution of the instructions by the computing device, to perform operations comprising: selecting an object rendered on a display, wherein the object is associated with an application that includes a first call to a program, wherein the first call is configured to cause the program to render the object on the display; receiving a plurality of annotations associated with the selected object; determining the verbosity level of each annotation of the plurality of annotations, wherein each of the plurality of annotations includes a different verbosity level, and wherein for any two of the annotations associated with the selected object and having different verbosity levels, a first annotation associated with a first verbosity level represents information in a textually-shortened form from information represented in a second of the two annotations with a second verbosity level higher than the first verbosity level, and wherein the first annotation associated with the lower verbosity level comprises an icon; and during execution of the application, and prior to execution of the first call, replacing the first call with a second call to be executed in place of the first call, wherein the second call is different from the first call and is itself configured to both render the plurality of annotations on the display and to cause the program to render the object without requiring execution of the first call, wherein the second call is configured to render the annotations individually based on a requested verbosity level. 28. The article of manufacture of claim 23 , wherein receiving comprises receiving an annotation that includes textual-based content. | 0.557524 |
1. A system for providing private inference control, comprising: at least a central processing unit; and at least a memory coupled to the central processing unit; the system further comprising: a query count and a secure database comprising a plurality of records with each record comprising a plurality of attributes, wherein a set of the attributes form one or more inference channels; a regular data structure comprising a set of ciphertext keys, which each relate to one such attribute and record in the secure database; a query processor to choose a seed for a pseudorandom function and a secret key for non-malleable encryption; a query generator to specify a query by providing indices identifying one such record and attribute and a secure function evaluation circuit to execute a secure function evaluation dependent upon the inference channels, the seed, the secret key, the query count, and the set of ciphertext keys, wherein an output from the secure function evaluation comprises the pseudorandom function and an updated set of ciphertext keys subject to sum-consistency of the set of ciphertext keys and a non-inference enabling query; a table of entries formed by combining each of the attributes for each of the records of the database with an output from the pseudorandom function as applied to the seed and the indices, wherein the entry from the table corresponding to the indices is provided. | 1. A system for providing private inference control, comprising: at least a central processing unit; and at least a memory coupled to the central processing unit; the system further comprising: a query count and a secure database comprising a plurality of records with each record comprising a plurality of attributes, wherein a set of the attributes form one or more inference channels; a regular data structure comprising a set of ciphertext keys, which each relate to one such attribute and record in the secure database; a query processor to choose a seed for a pseudorandom function and a secret key for non-malleable encryption; a query generator to specify a query by providing indices identifying one such record and attribute and a secure function evaluation circuit to execute a secure function evaluation dependent upon the inference channels, the seed, the secret key, the query count, and the set of ciphertext keys, wherein an output from the secure function evaluation comprises the pseudorandom function and an updated set of ciphertext keys subject to sum-consistency of the set of ciphertext keys and a non-inference enabling query; a table of entries formed by combining each of the attributes for each of the records of the database with an output from the pseudorandom function as applied to the seed and the indices, wherein the entry from the table corresponding to the indices is provided. 5. A system according to claim 1 , wherein the secure database entry is recovered by upon receipt of the pseudorandom function and the entry from the table. | 0.554102 |
2. The method of claim 1 , wherein the collection of metadata is created using a visual representation of the business task, and the visual representation is specified using a design environment. | 2. The method of claim 1 , wherein the collection of metadata is created using a visual representation of the business task, and the visual representation is specified using a design environment. 6. The method of claim 2 , wherein the design environment allows definition of navigation controls for the set of wizard-style UIs, and the navigation controls comprise at least one of a previous operation, a next operation, a pause operation, a resume operation, and a cancel operation. | 0.892812 |
1. A computer-implemented method comprising: identifying, by a mobile computing device, a first pose with which the mobile computing device is being held by a user, the first pose being identified from among a plurality of predetermined poses; initiating, after identifying the first pose, a first audio recording process using a microphone of the mobile computing device; selecting, based on the first pose identified by the mobile computing device, a first set of one or more parameters from among a plurality of parameters, wherein the first set of one or more parameters define settings that are specific to the first pose and that differentiate between, at least, speech and background noise when the mobile computing device is being held in the first pose; detecting that the user has started speaking during the first audio recording process; determining, after the user has started speaking during the first audio recording process and using the first set of one or more parameters, whether the user has stopped speaking during the first audio recording process; stopping, based on the determining whether the user has stopped speaking during the first audio recording process, the first audio recording process; identifying, by the mobile computing device, a second pose with which the mobile computing device is being held by the user, the second pose being identified from among the plurality of predetermined poses, and the second pose being distinct from the first pose; initiating, after identifying the second pose, a second audio recording process using the microphone of the mobile computing device; selecting, based on the second pose identified by the mobile computing device, a second set of one or more parameters from among the plurality of parameters, wherein the second set of one or more parameters define settings that are specific to the second pose and that differentiate between, at least, speech and background noise when the mobile computing device is being held in the second pose; detecting that the user has started speaking during the second audio recording process; determining, after the user has started speaking during the second audio recording process and using the second set of one or more parameters, whether the user has stopped speaking during the second audio recording process; and stopping, based on the determining whether the user has stopped speaking during the second audio recording process, the second audio recording process. | 1. A computer-implemented method comprising: identifying, by a mobile computing device, a first pose with which the mobile computing device is being held by a user, the first pose being identified from among a plurality of predetermined poses; initiating, after identifying the first pose, a first audio recording process using a microphone of the mobile computing device; selecting, based on the first pose identified by the mobile computing device, a first set of one or more parameters from among a plurality of parameters, wherein the first set of one or more parameters define settings that are specific to the first pose and that differentiate between, at least, speech and background noise when the mobile computing device is being held in the first pose; detecting that the user has started speaking during the first audio recording process; determining, after the user has started speaking during the first audio recording process and using the first set of one or more parameters, whether the user has stopped speaking during the first audio recording process; stopping, based on the determining whether the user has stopped speaking during the first audio recording process, the first audio recording process; identifying, by the mobile computing device, a second pose with which the mobile computing device is being held by the user, the second pose being identified from among the plurality of predetermined poses, and the second pose being distinct from the first pose; initiating, after identifying the second pose, a second audio recording process using the microphone of the mobile computing device; selecting, based on the second pose identified by the mobile computing device, a second set of one or more parameters from among the plurality of parameters, wherein the second set of one or more parameters define settings that are specific to the second pose and that differentiate between, at least, speech and background noise when the mobile computing device is being held in the second pose; detecting that the user has started speaking during the second audio recording process; determining, after the user has started speaking during the second audio recording process and using the second set of one or more parameters, whether the user has stopped speaking during the second audio recording process; and stopping, based on the determining whether the user has stopped speaking during the second audio recording process, the second audio recording process. 10. The computer-implemented method of claim 1 , further comprising: in response to initiating the first audio recording process, outputting an indication on the mobile computing device that indicates that the first audio recording process has started. | 0.577572 |
109. The computer system of claim 106 , further comprising means for updating the means for storing, wherein if the confidence level of the second label is less than the second confidence threshold: the means for sending further provides the client device with an indication of a failure in recognizing the input environmental sound; the means for determining identifies a set of the one or more sound models with information corresponding to at least one of a first location and a first time that match the at least one of the location information and the time information and identifies a first sound model having a greatest similarity to the input sound model from the set; and the means for updating merges the input sound model and the first sound model if the similarity between the input sound model and the first sound model is greater than or equal to a similarity threshold. | 109. The computer system of claim 106 , further comprising means for updating the means for storing, wherein if the confidence level of the second label is less than the second confidence threshold: the means for sending further provides the client device with an indication of a failure in recognizing the input environmental sound; the means for determining identifies a set of the one or more sound models with information corresponding to at least one of a first location and a first time that match the at least one of the location information and the time information and identifies a first sound model having a greatest similarity to the input sound model from the set; and the means for updating merges the input sound model and the first sound model if the similarity between the input sound model and the first sound model is greater than or equal to a similarity threshold. 110. The computer system of claim 109 , wherein the means for updating stores the input sound model in the means for storing if the similarity between the input sound model and the first sound model is less than the similarity threshold. | 0.702719 |
9. One or more computer readable storage media having computer executable components comprising: a graphics design application for manipulating graphics data; a tester for receiving a target document containing target graphics data, the target graphics data including at least one of pixel data or vector object data, the tester including: a document reader for determining the target graphics data of the target document; and an action generator for automatically generating user device actions based on the target graphics data for a test case for generating test graphics data substantially similar to the target graphics data; the document reader being configured to determine one or more graphics data attributes of selected graphics data of the target graphics data, and the action generator being configured to generate an input device action for selecting an appropriate graphics data attribute through a user interface control of the graphics design application. | 9. One or more computer readable storage media having computer executable components comprising: a graphics design application for manipulating graphics data; a tester for receiving a target document containing target graphics data, the target graphics data including at least one of pixel data or vector object data, the tester including: a document reader for determining the target graphics data of the target document; and an action generator for automatically generating user device actions based on the target graphics data for a test case for generating test graphics data substantially similar to the target graphics data; the document reader being configured to determine one or more graphics data attributes of selected graphics data of the target graphics data, and the action generator being configured to generate an input device action for selecting an appropriate graphics data attribute through a user interface control of the graphics design application. 10. The one or more computer readable storage media of claim 9 , wherein the document reader determines meta-data associated with the vector object data of the target graphics data, and wherein automatically generating user device actions includes generating user device application commands to emulate a user input device interacting with user interface controls of the graphics design application. | 0.58442 |
9. A non-transitory computer-readable storage medium having program instructions stored thereon that, in response to execution by a computer system, cause the computer system to perform operations comprising: initiating, based on receiving a source document, a routine for identifying one or more candidate duplicate documents of the source document from a document corpus, said identifying comprising: receiving the source document, wherein a document type of the source document is the same as a document type of at least some of a plurality of reference documents in the document corpus; determining two or more different queries, from content of the source document; in response to receiving the source document, executing the two or more different queries on the document corpus, wherein the two or more different queries differ from one another by at least one search term, wherein individual ones of the two or more different queries return a respective list of reference documents that identifies at least some of the plurality of reference documents of the document corpus, and wherein the respective reference documents identified in the respective lists are associated with a respective score representing, at least in part, a relevance of that reference document with respect to the source document; based, at least in part, on the scores for the reference documents from at least two of the respective lists, selecting one or more of the reference documents having a respective score that meets a score threshold as potential duplicates of the same received source document that initiated the routine; and storing an identification of the one or more potential duplicate documents. | 9. A non-transitory computer-readable storage medium having program instructions stored thereon that, in response to execution by a computer system, cause the computer system to perform operations comprising: initiating, based on receiving a source document, a routine for identifying one or more candidate duplicate documents of the source document from a document corpus, said identifying comprising: receiving the source document, wherein a document type of the source document is the same as a document type of at least some of a plurality of reference documents in the document corpus; determining two or more different queries, from content of the source document; in response to receiving the source document, executing the two or more different queries on the document corpus, wherein the two or more different queries differ from one another by at least one search term, wherein individual ones of the two or more different queries return a respective list of reference documents that identifies at least some of the plurality of reference documents of the document corpus, and wherein the respective reference documents identified in the respective lists are associated with a respective score representing, at least in part, a relevance of that reference document with respect to the source document; based, at least in part, on the scores for the reference documents from at least two of the respective lists, selecting one or more of the reference documents having a respective score that meets a score threshold as potential duplicates of the same received source document that initiated the routine; and storing an identification of the one or more potential duplicate documents. 14. The non-transitory computer-readable storage medium of claim 9 , wherein the score threshold is a relative score threshold applied to a collection of the identified reference documents. | 0.615893 |
15. A system for creating documentation, comprising: a memory storage device operable to store in a data store a plurality of document schemas, each document schema corresponding to a topic of a writing pattern provided by an authoring tool as a guide for a writer to author at least a portion of a document, each of the document schemas comprising a plurality of elements corresponding to a plurality of components of the writing pattern, each writing pattern corresponding to each of the document schemas is associated with several of distinct topic types, the topic types including at least one of questions for answering business-use and system-constraint questions about a task or function, conceptual information, examples of how to achieve a specific result, or definitions of at least one of application-specific words, phrases, or common business terms that have specific meaning, each component of the plurality of components corresponds to at least a portion of a document; at least one input device; and at least one processor operable to: for each of a plurality of documents: receive user selection of a component of a particular writing pattern corresponding to a visual element of a visual representation of a corresponding document schema, the visual representation including a plurality of graphic pairs each having an opening graphic and a closing graphic; receive user input representative of content for the selected visual component corresponding to the selected element; and add information corresponding to the user input to the document according to the corresponding document schema; and associate the added information from the plurality of documents together in a document collection. | 15. A system for creating documentation, comprising: a memory storage device operable to store in a data store a plurality of document schemas, each document schema corresponding to a topic of a writing pattern provided by an authoring tool as a guide for a writer to author at least a portion of a document, each of the document schemas comprising a plurality of elements corresponding to a plurality of components of the writing pattern, each writing pattern corresponding to each of the document schemas is associated with several of distinct topic types, the topic types including at least one of questions for answering business-use and system-constraint questions about a task or function, conceptual information, examples of how to achieve a specific result, or definitions of at least one of application-specific words, phrases, or common business terms that have specific meaning, each component of the plurality of components corresponds to at least a portion of a document; at least one input device; and at least one processor operable to: for each of a plurality of documents: receive user selection of a component of a particular writing pattern corresponding to a visual element of a visual representation of a corresponding document schema, the visual representation including a plurality of graphic pairs each having an opening graphic and a closing graphic; receive user input representative of content for the selected visual component corresponding to the selected element; and add information corresponding to the user input to the document according to the corresponding document schema; and associate the added information from the plurality of documents together in a document collection. 20. The system of claim 15 , wherein at least two of the plurality of documents correspond to the same document schema. | 0.872688 |
6. The medium of claim 1 , wherein one of the indicators represents a proportion of un-trusted content encountered in the source code during the compilation of the source code, the determining comprises: comparing the one indicator with a dynamic random value during the compilation, wherein the one indicator is no less than the dynamic random value if the code block is selected for randomization. | 6. The medium of claim 1 , wherein one of the indicators represents a proportion of un-trusted content encountered in the source code during the compilation of the source code, the determining comprises: comparing the one indicator with a dynamic random value during the compilation, wherein the one indicator is no less than the dynamic random value if the code block is selected for randomization. 7. The medium of claim 6 , wherein the dynamic random value is non-predictably generated via a function of an environmental setting representing a level of safety for the source code, and wherein the higher the level of safety, the less likely the one indicator is no less than the dynamic random value when compared. | 0.826367 |
1. A method for updating the vocabulary of a speech translation system for translating a first language into a second language, the method comprising: receiving, by at least one microphone of the speech translation system, an utterance from a user of the speech translation system, wherein the speech translation system is for translating the utterance from the first language into the second language and outputting an audible translation of the utterance in the second language from at least one speaker of the speech translation system; after receiving the utterance, receiving, from a user of the speech translation system, via a user interface of the speech translation system, an indication to add a new word in the first language to a first recognition lexicon of the first language of an automatic speech recognition module of the speech translation system, wherein the automatic speech recognition module for the speech translation system comprises the first recognition lexicon, an acoustic model for the first language, and a language model for the first language, and wherein the new word is not contained in the first recognition lexicon, the acoustic module, and the language model of the first language; determining, by the speech translation system, word class information, a pronunciation in the first language, and a translation in the second language for the new word; adding, by the speech translation system, the new word, along with the word class information and the pronunciation in the first language determined by the speech translation system, to the first recognition lexicon of the first language of the speech translation system; adding, by the speech translation system, the new word, along with the word class information and the translation in the second language determined by the speech translation system, to a first machine translation module associated with the first language of the speech translation system, wherein the first machine translation module contains a first tagging module, a first translation model and a first language module, and is configured to translate the new word to a corresponding translated word in the second language. | 1. A method for updating the vocabulary of a speech translation system for translating a first language into a second language, the method comprising: receiving, by at least one microphone of the speech translation system, an utterance from a user of the speech translation system, wherein the speech translation system is for translating the utterance from the first language into the second language and outputting an audible translation of the utterance in the second language from at least one speaker of the speech translation system; after receiving the utterance, receiving, from a user of the speech translation system, via a user interface of the speech translation system, an indication to add a new word in the first language to a first recognition lexicon of the first language of an automatic speech recognition module of the speech translation system, wherein the automatic speech recognition module for the speech translation system comprises the first recognition lexicon, an acoustic model for the first language, and a language model for the first language, and wherein the new word is not contained in the first recognition lexicon, the acoustic module, and the language model of the first language; determining, by the speech translation system, word class information, a pronunciation in the first language, and a translation in the second language for the new word; adding, by the speech translation system, the new word, along with the word class information and the pronunciation in the first language determined by the speech translation system, to the first recognition lexicon of the first language of the speech translation system; adding, by the speech translation system, the new word, along with the word class information and the translation in the second language determined by the speech translation system, to a first machine translation module associated with the first language of the speech translation system, wherein the first machine translation module contains a first tagging module, a first translation model and a first language module, and is configured to translate the new word to a corresponding translated word in the second language. 15. The method of claim 1 , wherein associating the word class information includes automatically generating a hypothesis using a user field customization module of the speech translation system. | 0.613198 |
13. A system, implemented in one or more configured computer systems, for automatically registering domain names, the system comprising: a data store configured to store specific computer-executable instructions; and one or more computing devices in communication with the data store, the one or more computing devices configured to execute the specific computer-executable instructions to at least: identify a domain name source from information automatically retrieved from one or more network resources; analyze data from the domain name source for a statistically improbable phrase or an atomic term; identify a domain name candidate from the statistically improbable phrase or the atomic term; calculate a value representing a significance of the domain name candidate; determine that the value satisfies a threshold indicating that the domain name candidate is desirable; and automatically register the domain name candidate as a domain name. | 13. A system, implemented in one or more configured computer systems, for automatically registering domain names, the system comprising: a data store configured to store specific computer-executable instructions; and one or more computing devices in communication with the data store, the one or more computing devices configured to execute the specific computer-executable instructions to at least: identify a domain name source from information automatically retrieved from one or more network resources; analyze data from the domain name source for a statistically improbable phrase or an atomic term; identify a domain name candidate from the statistically improbable phrase or the atomic term; calculate a value representing a significance of the domain name candidate; determine that the value satisfies a threshold indicating that the domain name candidate is desirable; and automatically register the domain name candidate as a domain name. 15. The system of claim 13 , wherein the domain name source includes data provided by a network resource of the one or more network resources. | 0.697863 |
8. The information-processing apparatus according to claim 1 , further comprising: a local memory that stores a URL (Uniform Resource Locator) of the search engine, wherein the processor retrieves the URL of the search engine from the local memory. | 8. The information-processing apparatus according to claim 1 , further comprising: a local memory that stores a URL (Uniform Resource Locator) of the search engine, wherein the processor retrieves the URL of the search engine from the local memory. 9. The information-processing apparatus according to claim 8 , wherein the communication circuitry transmits a request to the search engine for an additional search engine, receives a URL of the additional search engine in response to the request for the additional search engine, and transmits the telephone number to the additional search engine. | 0.761601 |
1. A method for displaying information to a user comprising: receiving a search query at a search engine, wherein said search query includes a set of search terms; generating, by the search engine, a set of search results based on the search terms in the search query; extracting a set of keywords from at least a portion of the set of search results; heuristically identifying at least one of said keywords from the set of keywords as a name entity, wherein said name entity is not a term in said set of search terms; determining name entity information to be presented to a user; wherein determining name entity information includes obtaining information related to said name entity from a source other than the search results; constructing at the search engine a search results page that includes both a listing of said set of search results and said name entity information; and sending the search results page to a user as a response to the search query, wherein heuristically identifying at least one of said keywords from the set of keywords includes determining if the at least one of said keywords appears in at least a threshold percentage of search results, wherein the method steps are performed by one or more computing devices. | 1. A method for displaying information to a user comprising: receiving a search query at a search engine, wherein said search query includes a set of search terms; generating, by the search engine, a set of search results based on the search terms in the search query; extracting a set of keywords from at least a portion of the set of search results; heuristically identifying at least one of said keywords from the set of keywords as a name entity, wherein said name entity is not a term in said set of search terms; determining name entity information to be presented to a user; wherein determining name entity information includes obtaining information related to said name entity from a source other than the search results; constructing at the search engine a search results page that includes both a listing of said set of search results and said name entity information; and sending the search results page to a user as a response to the search query, wherein heuristically identifying at least one of said keywords from the set of keywords includes determining if the at least one of said keywords appears in at least a threshold percentage of search results, wherein the method steps are performed by one or more computing devices. 10. The method of claim 1 , wherein obtaining information includes performing an additional search using a search query based at least in part on the name entity. | 0.570363 |
6. The video annotation method of claim 1 , wherein said performing said predicting stage further comprises: selecting a second critical frame from said second frames of said second shot; dividing said second critical frame into a plurality of second image blocks; respectively extracting low-level features of said second image blocks, thereby obtaining said second block feature vectors of said second critical frame of said second shot and; and inputting said second block feature vectors into said statistical model, thereby obtaining said keyword statistical probability list used for indicating the respective appearing probabilities of said fundamental words corresponding to said second block feature vectors. | 6. The video annotation method of claim 1 , wherein said performing said predicting stage further comprises: selecting a second critical frame from said second frames of said second shot; dividing said second critical frame into a plurality of second image blocks; respectively extracting low-level features of said second image blocks, thereby obtaining said second block feature vectors of said second critical frame of said second shot and; and inputting said second block feature vectors into said statistical model, thereby obtaining said keyword statistical probability list used for indicating the respective appearing probabilities of said fundamental words corresponding to said second block feature vectors. 8. The video annotation method of claim 6 , wherein the low-level features of said second image blocks and the low-level features of said second critical frame are selected from the group consisting of a shape descriptor, a scalable color descriptor, a homogeneous texture descriptor and any combinations thereof. | 0.960848 |
28. The method of claim 25 , further comprising: determining said preferred language associated with said request. | 28. The method of claim 25 , further comprising: determining said preferred language associated with said request. 29. The method of claim 28 , wherein: determining said preferred language includes determining said preferred language from at least one of a Uniform Resource Locator (URL) associated with said request, a hypertext transfer protocol (HTTP) header variable associated with said request, an identity profile associated with said request, and a cookie associated with said request. | 0.91845 |
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