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12. The computer-implemented method of claim 5 , wherein: performing automatic speech recognition processing on the first audio data further comprises calculating a first probability that the first hypothesis corresponds to an utterance represented in the first audio data; and determining the first pause duration value further comprises determining the first pause duration value based at least in part based on the first probability.
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12. The computer-implemented method of claim 5 , wherein: performing automatic speech recognition processing on the first audio data further comprises calculating a first probability that the first hypothesis corresponds to an utterance represented in the first audio data; and determining the first pause duration value further comprises determining the first pause duration value based at least in part based on the first probability. 13. The computer-implemented method of claim 12 , wherein determining the first pause duration value further comprises multiplying the first probability by a factor corresponding to the second value.
| 0.918894 |
1. A computer implemented method for annotating digital files, the method comprising: at a computer system having one or more processors and memory storing one or more programs that when executed by the one or more processors cause the computer system to perform the method: identifying a plurality of first features of a plurality of first digital files having one or more associated annotations; partitioning the plurality of first features into a plurality of subsets of the first features, including a respective subset of the first features; generating one or more classifiers based on the respective subset of the first features; identifying a plurality of second features of a respective second digital file; for each respective first digital file of two or more of the plurality of first digital files, determining a distance vector corresponding to a respective partial distance between a representation of features of the respective second digital file and a representation of features of the respective first digital file using a respective classifier; identifying a subset of the plurality of first digital files as candidate nearest neighbors to the respective second digital file based on the partial distances; determining scores corresponding to full distances between features of a plurality of the candidate nearest neighbors and features of the respective second digital file and ranking the determined scores; selecting a subset of the candidate nearest neighbors as matched files based on the ranking, wherein the matched files are associated with a respective annotation; and associating the respective annotation with the respective second digital file.
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1. A computer implemented method for annotating digital files, the method comprising: at a computer system having one or more processors and memory storing one or more programs that when executed by the one or more processors cause the computer system to perform the method: identifying a plurality of first features of a plurality of first digital files having one or more associated annotations; partitioning the plurality of first features into a plurality of subsets of the first features, including a respective subset of the first features; generating one or more classifiers based on the respective subset of the first features; identifying a plurality of second features of a respective second digital file; for each respective first digital file of two or more of the plurality of first digital files, determining a distance vector corresponding to a respective partial distance between a representation of features of the respective second digital file and a representation of features of the respective first digital file using a respective classifier; identifying a subset of the plurality of first digital files as candidate nearest neighbors to the respective second digital file based on the partial distances; determining scores corresponding to full distances between features of a plurality of the candidate nearest neighbors and features of the respective second digital file and ranking the determined scores; selecting a subset of the candidate nearest neighbors as matched files based on the ranking, wherein the matched files are associated with a respective annotation; and associating the respective annotation with the respective second digital file. 2. The method of claim 1 , further comprising: generating a plurality of classifiers from the plurality of first features; applying the respective second digital file to the plurality of classifiers and determining a weight value corresponding to each of the plurality of classifiers; combining the weight values corresponding to one or more of the classifiers; and associating one or more annotations from a respective subset of matched files to the respective second digital file based on the combined weight values.
| 0.625439 |
1. A handheld motion control system comprising: a motion detector within a handheld motion device, the motion detector having a three-axis acceleration sensor; a device locator within the handheld motion device, the device locator configured to: receive motion information obtained by the motion detector within the handheld motion device, wherein the motion information comprises a set of points traversed by the handheld motion device between a starting point base reference position and a stopping point; identify and select a device to be controlled from among a plurality of devices based on the motion information and device selection information, the device selection information correlating different motion information with different devices of the plurality of devices; and wherein the starting point base reference position is associated with an orientation of the handheld motion device relative to the device identified and selected to be controlled; a wireless communication interface configured to communicate device commands for the selected device, the device commands communicated from the handheld motion device to a processing apparatus of the selected device configured to obtain the information from the wireless communication interface to process the device commands; and wherein the motion detector is operable to allow a user to reset the starting point base reference position of the handheld motion device.
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1. A handheld motion control system comprising: a motion detector within a handheld motion device, the motion detector having a three-axis acceleration sensor; a device locator within the handheld motion device, the device locator configured to: receive motion information obtained by the motion detector within the handheld motion device, wherein the motion information comprises a set of points traversed by the handheld motion device between a starting point base reference position and a stopping point; identify and select a device to be controlled from among a plurality of devices based on the motion information and device selection information, the device selection information correlating different motion information with different devices of the plurality of devices; and wherein the starting point base reference position is associated with an orientation of the handheld motion device relative to the device identified and selected to be controlled; a wireless communication interface configured to communicate device commands for the selected device, the device commands communicated from the handheld motion device to a processing apparatus of the selected device configured to obtain the information from the wireless communication interface to process the device commands; and wherein the motion detector is operable to allow a user to reset the starting point base reference position of the handheld motion device. 13. The motion control system according to claim 1 , wherein the processing apparatus is a component of a television.
| 0.541433 |
13. A system comprising: a processor; and a computer-readable storage medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising: receiving text as part of a message, a placeholder within the text and audio, wherein the system comprises an embedded speech recognition system that accesses private user data on the system; receiving one of a garbage model, phonemic language model, a language model according to a standard list, and a language model built on the private user data to yield a received component; determining a privacy level of the private user data; recognizing the audio using the received component, the embedded speech recognition system and by accessing the private user data according to the privacy level to yield a recognition result; and replacing the placeholder with the recognition result in the text to yield an updated message.
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13. A system comprising: a processor; and a computer-readable storage medium storing instructions which, when executed by the processor, cause the processor to perform operations comprising: receiving text as part of a message, a placeholder within the text and audio, wherein the system comprises an embedded speech recognition system that accesses private user data on the system; receiving one of a garbage model, phonemic language model, a language model according to a standard list, and a language model built on the private user data to yield a received component; determining a privacy level of the private user data; recognizing the audio using the received component, the embedded speech recognition system and by accessing the private user data according to the privacy level to yield a recognition result; and replacing the placeholder with the recognition result in the text to yield an updated message. 14. The system of claim 13 , wherein the private user data is not available to a remote speech recognition system in communication with the system.
| 0.572426 |
8. A non-transitory computer-readable medium on which is encoded program code comprising: program code for receiving design information relating to one or more operating environments on which content will be provided, the design information comprising a shape, size, or position attribute for one or more assets to be displayed in the content provided on the one or more operating environments; program code for determining, based on an operating environment, one or more constraints associated with an asset to be displayed in the content provided on the operating environment, the one or more constraints determined using the design information; program code for receiving an asset selection or modification of the asset, the selection or modification restricted by the one or more constraints associated with the asset; and program code for providing the content for display on the operating environment, the content comprising the asset.
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8. A non-transitory computer-readable medium on which is encoded program code comprising: program code for receiving design information relating to one or more operating environments on which content will be provided, the design information comprising a shape, size, or position attribute for one or more assets to be displayed in the content provided on the one or more operating environments; program code for determining, based on an operating environment, one or more constraints associated with an asset to be displayed in the content provided on the operating environment, the one or more constraints determined using the design information; program code for receiving an asset selection or modification of the asset, the selection or modification restricted by the one or more constraints associated with the asset; and program code for providing the content for display on the operating environment, the content comprising the asset. 11. The non-transitory computer-readable medium of claim 8 , wherein determining one or more constraints using the design information comprises determining a format of the asset.
| 0.637971 |
13. A system for integrating domain information and semantic parsing to generate meaning representations from natural language input, the system comprising: a computer system comprising one or more physical processors programmed with computer program instructions to: receive a natural language input of a user comprising a natural language utterance in which at least a first input token has been uttered; provide the natural language input to a speech-to-text recognizer; obtain one or more words of the natural language input as an output of the speech-to-text recognizer, wherein the one or more words includes the first input token; obtain a semantic grammar that includes word combinations for intent processing and integrates a plurality of domain tokens relating to an information domain, wherein the semantic grammar integrates the plurality of domain tokens structured into a domain information Finite State Transducer (FST) parser that includes at least a first FST path comprising a first set of domain tokens and a second FST path comprising a second set of domain tokens; compare the plurality of domain tokens with the first input token; and generate a first score for the first FST path and a second score for the second FST path based on the comparison; select the first FST path based on the first score and the second score; determine a semantic structure of the one or more words based on the selected first FST path; generate a representation of an intention of the user based on the semantic structure, wherein the representation is used to execute a natural language based search request or a natural language based command.
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13. A system for integrating domain information and semantic parsing to generate meaning representations from natural language input, the system comprising: a computer system comprising one or more physical processors programmed with computer program instructions to: receive a natural language input of a user comprising a natural language utterance in which at least a first input token has been uttered; provide the natural language input to a speech-to-text recognizer; obtain one or more words of the natural language input as an output of the speech-to-text recognizer, wherein the one or more words includes the first input token; obtain a semantic grammar that includes word combinations for intent processing and integrates a plurality of domain tokens relating to an information domain, wherein the semantic grammar integrates the plurality of domain tokens structured into a domain information Finite State Transducer (FST) parser that includes at least a first FST path comprising a first set of domain tokens and a second FST path comprising a second set of domain tokens; compare the plurality of domain tokens with the first input token; and generate a first score for the first FST path and a second score for the second FST path based on the comparison; select the first FST path based on the first score and the second score; determine a semantic structure of the one or more words based on the selected first FST path; generate a representation of an intention of the user based on the semantic structure, wherein the representation is used to execute a natural language based search request or a natural language based command. 18. The system of claim 13 , wherein the computer system is further programmed to: identify a second token that is relevant to the first token and the information domain, wherein the second token is not initially included in the natural language input; and add the second token to the meaning representation.
| 0.609938 |
1. A computer implemented method for co-operative learning by at least a first entity supporting a first rule based system and a second entity supporting a second rule based system, the method comprising: the first entity generating a rule base from input data supplied from at least one input and having recursion data used to recursively update the rule base as a result of newly received input data; the first entity sending rule data defining at least one rule of the rule base of the first entity and associated data, including the recursion data, to the second entity; the second entity determining whether to update the rule base of the second entity using the transmitted rule data, and if so then using the recursion data to recursively determine the updated rules for its rule base.
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1. A computer implemented method for co-operative learning by at least a first entity supporting a first rule based system and a second entity supporting a second rule based system, the method comprising: the first entity generating a rule base from input data supplied from at least one input and having recursion data used to recursively update the rule base as a result of newly received input data; the first entity sending rule data defining at least one rule of the rule base of the first entity and associated data, including the recursion data, to the second entity; the second entity determining whether to update the rule base of the second entity using the transmitted rule data, and if so then using the recursion data to recursively determine the updated rules for its rule base. 22. Computer program code executable by at least a first data processing device to carry out the method of claim 1 .
| 0.716381 |
6. The method of claim 1 wherein: the method further comprises, in response to receiving the authentication request: performing, by the computing device, a password-based login procedure; upon successfully performing the password-based login procedure, sending, by the computing device, information associated with the password-based login procedure to a risk analysis engine; and in response, receiving, by the computing device from the risk analysis engine, a risk score associated with the password-based login procedure; and generating the set of one or more face images is performed by the computing device in response to receiving the risk score from the risk analysis engine, the risk score being above a threshold value.
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6. The method of claim 1 wherein: the method further comprises, in response to receiving the authentication request: performing, by the computing device, a password-based login procedure; upon successfully performing the password-based login procedure, sending, by the computing device, information associated with the password-based login procedure to a risk analysis engine; and in response, receiving, by the computing device from the risk analysis engine, a risk score associated with the password-based login procedure; and generating the set of one or more face images is performed by the computing device in response to receiving the risk score from the risk analysis engine, the risk score being above a threshold value. 7. The method of claim 6 wherein: receiving the authentication request includes receiving the authentication request from a remote user device across a network; performing the password-based login procedure includes communicating with the remote user device across the network; displaying each face image of the set of face images to the user includes sending each face image of the set of face images to the remote user device across the network for display to the user; and receiving the user score for each face image includes receiving the user score for each face image across the network from the remote user device.
| 0.775041 |
2. The system of claim 1 , wherein the targeted information is relevant advertisements and the final list of targeted information is a final list of relevant advertisements.
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2. The system of claim 1 , wherein the targeted information is relevant advertisements and the final list of targeted information is a final list of relevant advertisements. 9. The system of claim 2 , wherein the third comparison engine generates the final list of relevant advertisements that evolves over time based at least in part on trend information.
| 0.946012 |
9. A method for performing classification comprising: implementing a boosted classifier having a plurality of weak hypotheses that produce a classification, each of the plurality of weak hypotheses having at least one weight, using a hardware processor; receiving testing data; receiving at least one piece of training data subsequently to receiving the testing data; calculating corrective terms for correcting a sum of weights of correctly classified training data and a sum of weights of incorrectly classified training data for at least one of the plurality of weak hypotheses based on a change in weights for the at least one weight of other of the plurality of weak hypotheses; calculating the sum of weights of correctly classified training data and the sum of weights of incorrectly classified training data based on the corrective terms; modifying the at least one weight of at least one of the plurality of weak hypotheses in response to the at least one piece of training data based on the sum of weights to produce modified weights; classifying the testing data based on the modified weights to produce a classification; and indicating the classification of the testing data.
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9. A method for performing classification comprising: implementing a boosted classifier having a plurality of weak hypotheses that produce a classification, each of the plurality of weak hypotheses having at least one weight, using a hardware processor; receiving testing data; receiving at least one piece of training data subsequently to receiving the testing data; calculating corrective terms for correcting a sum of weights of correctly classified training data and a sum of weights of incorrectly classified training data for at least one of the plurality of weak hypotheses based on a change in weights for the at least one weight of other of the plurality of weak hypotheses; calculating the sum of weights of correctly classified training data and the sum of weights of incorrectly classified training data based on the corrective terms; modifying the at least one weight of at least one of the plurality of weak hypotheses in response to the at least one piece of training data based on the sum of weights to produce modified weights; classifying the testing data based on the modified weights to produce a classification; and indicating the classification of the testing data. 13. The method of claim 9 , wherein the testing data and the training data represent images.
| 0.909884 |
11. In a development system for creating a program having methods comprising bytecode for interpretation by a runtime interpreter, an improved method for executing said program comprising: initializing a pointer associated with each method to point to a handler for invoking compilation of said each method; as each method is called at runtime, compiling each called method into native machine code stored at a particular location in memory, including mapping bytecode for a method being called into native machine code for execution by a target microprocessor, and storing said particular location for the called method in the pointer associated with the called method; as each method is compiled, for any bytecode instruction which comprises a call to another method, generating a native machine code call instruction to a memory address pointed to by the pointer associated with said another method, including generating a machine code call instruction for transferring execution of the program to code located at a memory address pointed to by the pointer associated with said another method; and executing said program wherein a call through a pointer pointing to said handler invokes compilation of the method associated with the pointer, and wherein a call through a pointer pointing to a method which has already been compiled leads to execution of the native machine code for the method associated with the pointer.
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11. In a development system for creating a program having methods comprising bytecode for interpretation by a runtime interpreter, an improved method for executing said program comprising: initializing a pointer associated with each method to point to a handler for invoking compilation of said each method; as each method is called at runtime, compiling each called method into native machine code stored at a particular location in memory, including mapping bytecode for a method being called into native machine code for execution by a target microprocessor, and storing said particular location for the called method in the pointer associated with the called method; as each method is compiled, for any bytecode instruction which comprises a call to another method, generating a native machine code call instruction to a memory address pointed to by the pointer associated with said another method, including generating a machine code call instruction for transferring execution of the program to code located at a memory address pointed to by the pointer associated with said another method; and executing said program wherein a call through a pointer pointing to said handler invokes compilation of the method associated with the pointer, and wherein a call through a pointer pointing to a method which has already been compiled leads to execution of the native machine code for the method associated with the pointer. 12. The method of claim 11, wherein said native machine code comprises machine instructions for an Intel-compatible 80.times.86 microprocessor.
| 0.601429 |
13. The article of claim 12 , further comprising further comprising transmitting, by the computer-based system, the list of the merchants to a web client associated with the consumer, wherein the list is based on the normalized popularity score.
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13. The article of claim 12 , further comprising further comprising transmitting, by the computer-based system, the list of the merchants to a web client associated with the consumer, wherein the list is based on the normalized popularity score. 14. The article of claim 13 , further comprising adjusting, by the computer-based system and based upon the normalized popularity score, the list of the merchants that is output by a recommender system based upon the consumer receiving the list via the mobile communication device, wherein the merchants that are within a certain distance of a location of the mobile communications device are ranked higher.
| 0.91989 |
14. A non-transitory computer-readable medium comprising instructions executable by a processor, the instructions for: receiving a plurality of labelled contextual slices derived from contextual data of a user, each labelled contextual slice comprising a time range, a location, and a contextual label indicating a semantic description of the labelled contextual slice, wherein receiving the plurality of labelled contextual slices comprises: receiving a plurality of contextual slices derived from associated context data collected from a plurality of observation sources, each contextual slice is bound by the time range at the location; and for each of the plurality of contextual slices: identifying a set of candidate labels based on context data associated with the contextual slice, the candidate labels each comprising semantic data describing context data associated with the contextual slice, the semantic data selected from a group consisting of venue geography boundary, venue name, venue type, and venue activity name, venue activity location, venue activity popularity and calendar event; ranking the set of candidate labels by likelihood based on a proximity threshold to the venue geography boundary and ordered by the venue activity popularity, the proximity threshold from the centroid location of the venue geography boundary; and applying one or more of the candidate labels to the contextual slice to make one of the plurality of labelled contextual slices; retrieving, from a storage, a contextual pattern specifying a sequence of contextual labels, wherein the sequence includes a plurality of contextual labels with semantic descriptions that when aggregated correspond to a common semantic description; searching the received labelled contextual slices for a temporally contiguous group of contextual slices having the sequence of contextual labels specified by the pattern; identifying, by a processor, the temporally contiguous group of contextual slices as a matching group responsive to the temporally contiguous group of contextual slices having the sequence of contextual labels specified by the pattern and rank; ordering the matching group of labelled contextual slices by rank; grouping the matching group of labelled contextual slices having at least a minimum threshold rank based on visit year; and applying the common semantic description to the ranked matching group of labelled contextual slices as the user's storyline.
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14. A non-transitory computer-readable medium comprising instructions executable by a processor, the instructions for: receiving a plurality of labelled contextual slices derived from contextual data of a user, each labelled contextual slice comprising a time range, a location, and a contextual label indicating a semantic description of the labelled contextual slice, wherein receiving the plurality of labelled contextual slices comprises: receiving a plurality of contextual slices derived from associated context data collected from a plurality of observation sources, each contextual slice is bound by the time range at the location; and for each of the plurality of contextual slices: identifying a set of candidate labels based on context data associated with the contextual slice, the candidate labels each comprising semantic data describing context data associated with the contextual slice, the semantic data selected from a group consisting of venue geography boundary, venue name, venue type, and venue activity name, venue activity location, venue activity popularity and calendar event; ranking the set of candidate labels by likelihood based on a proximity threshold to the venue geography boundary and ordered by the venue activity popularity, the proximity threshold from the centroid location of the venue geography boundary; and applying one or more of the candidate labels to the contextual slice to make one of the plurality of labelled contextual slices; retrieving, from a storage, a contextual pattern specifying a sequence of contextual labels, wherein the sequence includes a plurality of contextual labels with semantic descriptions that when aggregated correspond to a common semantic description; searching the received labelled contextual slices for a temporally contiguous group of contextual slices having the sequence of contextual labels specified by the pattern; identifying, by a processor, the temporally contiguous group of contextual slices as a matching group responsive to the temporally contiguous group of contextual slices having the sequence of contextual labels specified by the pattern and rank; ordering the matching group of labelled contextual slices by rank; grouping the matching group of labelled contextual slices having at least a minimum threshold rank based on visit year; and applying the common semantic description to the ranked matching group of labelled contextual slices as the user's storyline. 18. The computer-readable medium of claim 14 , wherein the retrieved contextual pattern was obtained by: receiving additional groups of labelled contextual slices identified by the user; and identifying the contextual pattern from a common temporal sequence of contextual labels identified at least a threshold number of instances among the additional groups of labelled contextual slices.
| 0.613495 |
24. The computer system of claim 14 wherein the code is further executable by the processor for: dividing a consolidated configuration model into the configuration sub-models.
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24. The computer system of claim 14 wherein the code is further executable by the processor for: dividing a consolidated configuration model into the configuration sub-models. 25. The computer system of claim 24 wherein the code is further executable by the processor for: dividing the configuration model so that complexity of each configuration sub-model allows processing using available data processing capabilities of the computer assisted configuration technology while still representing the relationships included in the consolidated configuration model.
| 0.854775 |
21. The method of claim 20, further comprising the step of: repeating the step of displaying the compilation of key kanji prior to the step of displaying the phonetic readings of the key kanji in hiragana or prior to the step of displaying the phonetic readings of the key kanji in katakana.
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21. The method of claim 20, further comprising the step of: repeating the step of displaying the compilation of key kanji prior to the step of displaying the phonetic readings of the key kanji in hiragana or prior to the step of displaying the phonetic readings of the key kanji in katakana. 23. The method of claim 21 wherein the text is in Japanese.
| 0.842233 |
20. The apparatus of claim 18 , wherein the replacer is further configured to perform the sampling of the candidate words based on any one or any combination of any two or more of respective relationships of one or more candidate words with the other words in the sentence exclusive of the target word, respective degrees of similarity of phoneme sequences of the one or more candidate words to a phoneme sequence of the target word, and a context of another sentence preceding the sentence.
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20. The apparatus of claim 18 , wherein the replacer is further configured to perform the sampling of the candidate words based on any one or any combination of any two or more of respective relationships of one or more candidate words with the other words in the sentence exclusive of the target word, respective degrees of similarity of phoneme sequences of the one or more candidate words to a phoneme sequence of the target word, and a context of another sentence preceding the sentence. 21. The apparatus of claim 20 , wherein the replacer is further configured to obtain the sampled candidate words from a pre-provided dictionary.
| 0.851228 |
11. The computerized method of claim 1 , wherein the ad candidates are delivered to the users in the context of content provided by a plurality of affiliate modules.
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11. The computerized method of claim 1 , wherein the ad candidates are delivered to the users in the context of content provided by a plurality of affiliate modules. 12. The computerized method of claim 11 , wherein the model identifies groups of affiliate modules which have similar ad-related behavior.
| 0.917281 |
1. A computer readable medium storing computer executable instructions that when executed on a processor of a computer performs a method for providing a billboard advertisement through an online service, the billboard advertisement composed by an advertising user, the method comprising: displaying, an interface to the advertising user at a computer, the interface including a sponsor selection mechanism for allowing selection of a billboard sponsor from a list of billboard sponsors, a target user selection mechanism for allowing selection by the advertising user of at least one target user, and a text input region for receiving an input message from the advertising user; processing, at a web server, information input to the displayed interface of the computer to create the billboard advertisement; composing, at the web server, the billboard advertisement including the input message and the at least one selected billboard sponsor; and rendering a web home page for the at least one target user to display the billboard advertisement, wherein the web home page is delivered to the at least one target user.
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1. A computer readable medium storing computer executable instructions that when executed on a processor of a computer performs a method for providing a billboard advertisement through an online service, the billboard advertisement composed by an advertising user, the method comprising: displaying, an interface to the advertising user at a computer, the interface including a sponsor selection mechanism for allowing selection of a billboard sponsor from a list of billboard sponsors, a target user selection mechanism for allowing selection by the advertising user of at least one target user, and a text input region for receiving an input message from the advertising user; processing, at a web server, information input to the displayed interface of the computer to create the billboard advertisement; composing, at the web server, the billboard advertisement including the input message and the at least one selected billboard sponsor; and rendering a web home page for the at least one target user to display the billboard advertisement, wherein the web home page is delivered to the at least one target user. 7. The method of claim 1 , further comprising offering through the online service, a subscription option for potential sponsors in order to be featured on the list of billboard sponsors.
| 0.715743 |
7. An apparatus for enabling global grammars for a particular multimodal application, the apparatus including a multimodal browser and a multimodal application operating on a multimodal device supporting multiple modes of user interaction with the multimodal application, the modes of user interaction including a voice mode and one or more non-voice modes, the apparatus comprising a computer processor and a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions capable of: loading a multimodal web page; determining whether the loaded multimodal web page is one of a plurality of multimodal web pages of the particular multimodal application; if the loaded multimodal web page is one of the plurality of multimodal web pages of the particular multimodal application, loading any currently unloaded global grammars in the loaded multimodal web page and maintaining any previously loaded global grammars; and if the loaded multimodal web page is not one of the plurality of multimodal web pages of the particular multimodal application, unloading any currently loaded global grammars.
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7. An apparatus for enabling global grammars for a particular multimodal application, the apparatus including a multimodal browser and a multimodal application operating on a multimodal device supporting multiple modes of user interaction with the multimodal application, the modes of user interaction including a voice mode and one or more non-voice modes, the apparatus comprising a computer processor and a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions capable of: loading a multimodal web page; determining whether the loaded multimodal web page is one of a plurality of multimodal web pages of the particular multimodal application; if the loaded multimodal web page is one of the plurality of multimodal web pages of the particular multimodal application, loading any currently unloaded global grammars in the loaded multimodal web page and maintaining any previously loaded global grammars; and if the loaded multimodal web page is not one of the plurality of multimodal web pages of the particular multimodal application, unloading any currently loaded global grammars. 8. The apparatus of claim 7 , wherein the computer program instructions capable of determining whether the loaded multimodal web page is one of a plurality of multimodal web pages of the particular multimodal application further comprise computer program instructions capable of comparing a base URI for the particular multimodal application with a designated URI in the loaded multimodal web page.
| 0.510454 |
11. The computing device of claim 10 , wherein the computing device is configured to: compare the plurality of respective characters associated with the plurality of respective keys to at least one string pattern that includes the at least one metacharacter, wherein the at least one string pattern is associated with the category; and identify the category based on determining that the plurality of respective characters matches the at least one string pattern.
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11. The computing device of claim 10 , wherein the computing device is configured to: compare the plurality of respective characters associated with the plurality of respective keys to at least one string pattern that includes the at least one metacharacter, wherein the at least one string pattern is associated with the category; and identify the category based on determining that the plurality of respective characters matches the at least one string pattern. 12. The computing device of claim 11 , wherein the computing device is further configured to: compare the plurality of respective characters associated with the plurality of respective keys to a second set of one or more one string patterns that include the at least one metacharacter, wherein each string pattern of the second set is associated with a respective subcategory, wherein the respective subcategory is a subset of the category; and determine a subcategory based on a string pattern in the second set that matches at least a portion of the group of the plurality of respective characters associated with the plurality of respective keys.
| 0.813003 |
6. The method of claim 1 , wherein selecting a web resource referenced by a particular search result of the obtained search results as relevant additional content for the first web resource comprises: generating a first score for each of one or more of the identified central entities based at least in part on weights of outgoing edges of respective nodes corresponding to the identified central entities; determining that the particular search result was identified as being responsive to a search query generated for a central entity having a highest first score among the one or more identified central entities; and selecting a web resource referenced by the particular search result.
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6. The method of claim 1 , wherein selecting a web resource referenced by a particular search result of the obtained search results as relevant additional content for the first web resource comprises: generating a first score for each of one or more of the identified central entities based at least in part on weights of outgoing edges of respective nodes corresponding to the identified central entities; determining that the particular search result was identified as being responsive to a search query generated for a central entity having a highest first score among the one or more identified central entities; and selecting a web resource referenced by the particular search result. 9. The method of claim 6 , wherein the first score for the particular identified central entity is based at least in part on a frequency of occurrence of the identified central entity in the collection of resources used to generate the first entity graph.
| 0.86162 |
8. The system of claim 7 , wherein each automated speech recognizer of the set of automated speech recognizers uses a different one of a plurality of language models.
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8. The system of claim 7 , wherein each automated speech recognizer of the set of automated speech recognizers uses a different one of a plurality of language models. 10. The system of claim 8 , wherein the plurality of language models are each associated with a different one of a plurality of languages.
| 0.965163 |
9. An apparatus comprising: an interface circuit configured for receiving, from a user interface, a request for execution of at least one lambda function in an operation of a geospatial application, the geospatial application having lambda functions for operating on one or more entities of an ad hoc geospatial directory accessible by the computing device, the lambda functions having strongly typed definitions according to a prescribed symbol manipulation language that is a non-Turing complete language, that does not permit partial functions, and that is independent of any attribute of any computing system; and an execution circuit configured for optimizing execution by the apparatus of the operation on the ad hoc geospatial directory, the execution circuit configured for returning to the user interface, via the interface circuit a response to the request based on the optimizing execution of the operation, the response including a data structure including at least one of the lambda functions for a corresponding at least one of generating a query of the ad hoc geospatial directory, modifying a state of at least a first of the entities, or accessing the first of the entities; wherein the interface circuit is configured for receiving a plurality of requests for execution of respective operations of the geospatial application, the execution circuit configured for optimizing execution of the requests based on: joining the requests into at least one locally-executable request and at least one remotely-executable request, sending the remotely-executable request to a second computing device, receiving from the second computing device a remote result responsive to the remotely-executable request, executing the locally-executable request for generation of a local result, and generating the responses for the respective requests based on selective partitioning of the local result and the remote result.
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9. An apparatus comprising: an interface circuit configured for receiving, from a user interface, a request for execution of at least one lambda function in an operation of a geospatial application, the geospatial application having lambda functions for operating on one or more entities of an ad hoc geospatial directory accessible by the computing device, the lambda functions having strongly typed definitions according to a prescribed symbol manipulation language that is a non-Turing complete language, that does not permit partial functions, and that is independent of any attribute of any computing system; and an execution circuit configured for optimizing execution by the apparatus of the operation on the ad hoc geospatial directory, the execution circuit configured for returning to the user interface, via the interface circuit a response to the request based on the optimizing execution of the operation, the response including a data structure including at least one of the lambda functions for a corresponding at least one of generating a query of the ad hoc geospatial directory, modifying a state of at least a first of the entities, or accessing the first of the entities; wherein the interface circuit is configured for receiving a plurality of requests for execution of respective operations of the geospatial application, the execution circuit configured for optimizing execution of the requests based on: joining the requests into at least one locally-executable request and at least one remotely-executable request, sending the remotely-executable request to a second computing device, receiving from the second computing device a remote result responsive to the remotely-executable request, executing the locally-executable request for generation of a local result, and generating the responses for the respective requests based on selective partitioning of the local result and the remote result. 16. The apparatus of claim 9 , wherein: the interface circuit is configured for receiving a plurality of requests for execution of respective operations of the geospatial application; the execution circuit configured for optimizing execution of the requests based on joining the requests into a single locally-executable request, and executing the locally-executable request to obtain a local result, generating the response for the respective requests based on selective partitioning of the local result.
| 0.573789 |
36. The method of claim 35, further comprising: (i) transmitting from said third entity, queries via said network; (j) receiving said queries via said network at a fourth entity; (k) presenting said queries by said fourth entity to said first entity on behalf of said third entity; (l) revealing facts and authorizations to publish said facts to said third entity by said first entity to said fourth entity; (m) discovering facts and authorizations to publish said facts to said third entity by said fourth entity from said first entity; (n) exploiting said facts by said fourth entity; (o) publishing said facts about said first entity by said fourth entity to said third entity via said network when authorization to publish said fact has been given by said first entity to said fourth entity; (p) receiving said facts about said first entity from said fourth entity by said third entity via said network; (q) transmitting new queries and suggestions by said first entity via said network to said second entity, taking into account published facts about said third entity received so far by said first entity; and (r) repeating steps (a) through (q) until said first entity and said third entity stop communicating with said second entity and said fourth entity.
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36. The method of claim 35, further comprising: (i) transmitting from said third entity, queries via said network; (j) receiving said queries via said network at a fourth entity; (k) presenting said queries by said fourth entity to said first entity on behalf of said third entity; (l) revealing facts and authorizations to publish said facts to said third entity by said first entity to said fourth entity; (m) discovering facts and authorizations to publish said facts to said third entity by said fourth entity from said first entity; (n) exploiting said facts by said fourth entity; (o) publishing said facts about said first entity by said fourth entity to said third entity via said network when authorization to publish said fact has been given by said first entity to said fourth entity; (p) receiving said facts about said first entity from said fourth entity by said third entity via said network; (q) transmitting new queries and suggestions by said first entity via said network to said second entity, taking into account published facts about said third entity received so far by said first entity; and (r) repeating steps (a) through (q) until said first entity and said third entity stop communicating with said second entity and said fourth entity. 38. The method of claim 36, said facts comprising a questionnaire and a score, said score being published when one of said entities grants authorization.
| 0.700448 |
14. A computing system for discovering speech recognition commands comprising a processor, a memory, and a bus linking the processor and memory, wherein said processor is able execute instructions of at least one computer program product that is stored in a non-transitory storage medium, wherein execution of the instructions causes the computing system to: automatically respond to a manually initiated action with voice command discovery by presenting speech command data configured to facilitate initiation of the action via speech, such that the presentation of the speech command data directs the user to use the speech command to initiate the action without manual intervention, wherein the computing system in communication with a discovery server through an application server, and wherein the automatically responding with voice command discovery causing the computing system to: receive at an application an input from a manually initiated action, wherein the computing system is associated with a speech component, wherein the input is associated with a computing system function, and wherein the computing system function is an operation within the computing system and is linked to a function identifier, the function identifier being associated with the manually initiated action in the context of the application; transmit a request containing the function identifier through the application server to the discovery server, the discovery server configured with a mapping of function identifiers linked to respective speech command data, wherein the discovery server determines the application based on an application identifier derived from the manually initiated action, and wherein the discovery server translates the function identifier contained in the request to the speech command data by using the function identifier contained in the request associated with the application to find in the mapping a corresponding function identifier linked to the speech command data; receive from the discovery server through the application server the speech command data, wherein the command data is associated with a command identifier and a command, and wherein the speech command data is a speech command registered within the speech component; and present the received speech command data within a speech interface of the speech component responsive to the translating.
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14. A computing system for discovering speech recognition commands comprising a processor, a memory, and a bus linking the processor and memory, wherein said processor is able execute instructions of at least one computer program product that is stored in a non-transitory storage medium, wherein execution of the instructions causes the computing system to: automatically respond to a manually initiated action with voice command discovery by presenting speech command data configured to facilitate initiation of the action via speech, such that the presentation of the speech command data directs the user to use the speech command to initiate the action without manual intervention, wherein the computing system in communication with a discovery server through an application server, and wherein the automatically responding with voice command discovery causing the computing system to: receive at an application an input from a manually initiated action, wherein the computing system is associated with a speech component, wherein the input is associated with a computing system function, and wherein the computing system function is an operation within the computing system and is linked to a function identifier, the function identifier being associated with the manually initiated action in the context of the application; transmit a request containing the function identifier through the application server to the discovery server, the discovery server configured with a mapping of function identifiers linked to respective speech command data, wherein the discovery server determines the application based on an application identifier derived from the manually initiated action, and wherein the discovery server translates the function identifier contained in the request to the speech command data by using the function identifier contained in the request associated with the application to find in the mapping a corresponding function identifier linked to the speech command data; receive from the discovery server through the application server the speech command data, wherein the command data is associated with a command identifier and a command, and wherein the speech command data is a speech command registered within the speech component; and present the received speech command data within a speech interface of the speech component responsive to the translating. 15. The system of claim 14 , wherein the presenting comprises enunciating the command associated with the command data, wherein the command is at least one of a word and a phrase.
| 0.598896 |
31. An apparatus suitable for displaying a multilevel treeview of hierarchical information within a pane of a computer display window, comprising: an input unit configured to receive user configurable view characteristics and a search criteria; a search unit configured to search an information hierarchy for a plurality of occurrences of a specified information element based upon the search criteria; and a display unit configured to; display within the pane the multilevel treeview of the information hierarchy, display within the multilevel treeview an indicator which indicates whether a displayed element of the information hierarchy comprises sub-elements, on one side of the multilevel treeview, indicate the location of the plurality of found occurrences of the specified information element within the multilevel treeview; graphically connecting via a graphical connection only the plurality of occurrences of the specified information element within the multilevel treeview, the graphical connection being positioned on an opposite side from the indicator with respect to the multilevel treeview, and comprising: a plurality of horizontal lines extending outward from each displayed found occurrence of the specified information element, and a vertical line positioned to intersect an outward end of each of the plurality of horizontal lines, the vertical line being terminated between a horizontal line corresponding to a first displayed found occurrence of the specified information element and a last displayed found occurrence of the specified information element; the input unit further configured to receive a user selection of an occurrence of the specified information element within the multilevel treeview; and the display unit further configured to display a pop-up menu positioned directly beneath the selected occurrence of the specified information element, the pop-up menu comprising: statistical information on the total number of occurrences of the specified information element, and a link to a next occurrence of the specified information element.
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31. An apparatus suitable for displaying a multilevel treeview of hierarchical information within a pane of a computer display window, comprising: an input unit configured to receive user configurable view characteristics and a search criteria; a search unit configured to search an information hierarchy for a plurality of occurrences of a specified information element based upon the search criteria; and a display unit configured to; display within the pane the multilevel treeview of the information hierarchy, display within the multilevel treeview an indicator which indicates whether a displayed element of the information hierarchy comprises sub-elements, on one side of the multilevel treeview, indicate the location of the plurality of found occurrences of the specified information element within the multilevel treeview; graphically connecting via a graphical connection only the plurality of occurrences of the specified information element within the multilevel treeview, the graphical connection being positioned on an opposite side from the indicator with respect to the multilevel treeview, and comprising: a plurality of horizontal lines extending outward from each displayed found occurrence of the specified information element, and a vertical line positioned to intersect an outward end of each of the plurality of horizontal lines, the vertical line being terminated between a horizontal line corresponding to a first displayed found occurrence of the specified information element and a last displayed found occurrence of the specified information element; the input unit further configured to receive a user selection of an occurrence of the specified information element within the multilevel treeview; and the display unit further configured to display a pop-up menu positioned directly beneath the selected occurrence of the specified information element, the pop-up menu comprising: statistical information on the total number of occurrences of the specified information element, and a link to a next occurrence of the specified information element. 34. The apparatus of claim 31 , wherein the display unit is further configured to graphically connect a compressed branch of the information hierarchy containing a specified information element with the plurality of graphically connected found occurrences of the specified information element within the multilevel treeview.
| 0.530004 |
2. The method of claim 1 , wherein when the entity is a named entity and the at least one attribute context being compared is a single attribute context, the comparison includes determining whether the entity context and attribute context are compatible.
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2. The method of claim 1 , wherein when the entity is a named entity and the at least one attribute context being compared is a single attribute context, the comparison includes determining whether the entity context and attribute context are compatible. 3. The method of claim 2 , wherein when the named entity context and the at least one attribute context are determined not to be compatible, the comparison identifies a conflict.
| 0.875646 |
1. A computer-implemented method, comprising: providing, at a server computing device having one or more processors, a user interface to a first client computing device, the user interface including a digital content item capable of being output by the first client computing device; receiving, at the server computing device, a signal from the first client computing device via the user interface to initiate a communication session regarding the digital content item; responsive to receiving the signal, initiating, at the server computing device, the communication session, wherein the communication session enables communication between the first client computing device and one or more other client computing devices; determining, by the server computing device, a context for a topic of discussion associated with the communication session based on the digital content item; based on the context of the communication session, selecting, by the server computing device, a subset of the one or more other client computing devices to invite to participate in the communication session, wherein each one of the one or more other client computing devices is selected when its user is associated with the context of the communication session; sending, by the server computing device, an invitation to each other client computing device of the subset of the one or more other client computing devices to join the communication session, wherein the invitation indicates the context of the communication session; and responsive to receiving a response signal in response to the invitation from a particular other client computing device of the subset of the one or more other client computing devices, connecting the particular other client computing device to the communication session.
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1. A computer-implemented method, comprising: providing, at a server computing device having one or more processors, a user interface to a first client computing device, the user interface including a digital content item capable of being output by the first client computing device; receiving, at the server computing device, a signal from the first client computing device via the user interface to initiate a communication session regarding the digital content item; responsive to receiving the signal, initiating, at the server computing device, the communication session, wherein the communication session enables communication between the first client computing device and one or more other client computing devices; determining, by the server computing device, a context for a topic of discussion associated with the communication session based on the digital content item; based on the context of the communication session, selecting, by the server computing device, a subset of the one or more other client computing devices to invite to participate in the communication session, wherein each one of the one or more other client computing devices is selected when its user is associated with the context of the communication session; sending, by the server computing device, an invitation to each other client computing device of the subset of the one or more other client computing devices to join the communication session, wherein the invitation indicates the context of the communication session; and responsive to receiving a response signal in response to the invitation from a particular other client computing device of the subset of the one or more other client computing devices, connecting the particular other client computing device to the communication session. 8. The computer-implemented method of claim 1 , further comprising: transmitting, from the server computing device, information exchanged in the communication session to the first client computing device after the communication session is completed, wherein the information exchanged comprises at least one of text-based chat, audio, a transcription of audio, video, location data, and a file.
| 0.626522 |
1. A method for associating a content item with an event, comprising: receiving a content item; determining a location associated with the received content item using a processor; comparing the received content item with an existing event, wherein the existing event comprises a previously processed content item and a previously associated location, wherein comparing the received content item with the existing event comprises: determining a weighted overlap between the determined location and the previously associated location of the existing event; determining an indicia of relatedness between the received content item and the existing event, wherein the indicia of relatedness is not based on location; wherein the indicia of relatedness includes a time overlap between a time associated with the received content item and a time associated with the existing event; wherein the time overlap comprises being within a 24 hour window; and associating the received content item with the existing event based on the comparison, wherein the comparison also includes a threshold level of indicia of relatedness between the received content item and the existing event, and wherein the threshold level of indicia of relatedness required for the content item to be determined to be associated with the existing event increases as a degree of the weighted overlap between the determined location and the location previously associated with the existing event decreases.
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1. A method for associating a content item with an event, comprising: receiving a content item; determining a location associated with the received content item using a processor; comparing the received content item with an existing event, wherein the existing event comprises a previously processed content item and a previously associated location, wherein comparing the received content item with the existing event comprises: determining a weighted overlap between the determined location and the previously associated location of the existing event; determining an indicia of relatedness between the received content item and the existing event, wherein the indicia of relatedness is not based on location; wherein the indicia of relatedness includes a time overlap between a time associated with the received content item and a time associated with the existing event; wherein the time overlap comprises being within a 24 hour window; and associating the received content item with the existing event based on the comparison, wherein the comparison also includes a threshold level of indicia of relatedness between the received content item and the existing event, and wherein the threshold level of indicia of relatedness required for the content item to be determined to be associated with the existing event increases as a degree of the weighted overlap between the determined location and the location previously associated with the existing event decreases. 6. The method as in claim 1 , wherein the indicia of relatedness comprises an entity overlap.
| 0.555118 |
11. A computer-implemented method, comprising: utilizing a computer to perform: analyzing a graphical program, wherein the graphical program comprises a plurality of interconnected nodes that visually indicate functionality of the graphical program, and wherein the graphical program comprises an I/O interface comprising one or more ordered parameters for providing input to or receiving output from the graphical program; automatically generating a function in a textual programming language based on said analyzing the graphical program, wherein the function implements the functionality of the graphical program, and wherein the function comprises a textual function I/O interface with the one or more ordered parameters of the I/O interface of the graphical program; displaying the textual function I/O interface; receiving user input specifying one or more changes to the textual function I/O interface to produce a modified textual function I/O interface; and in response to the user input, automatically generating a wrapper for the function in the textual programming language with the modified textual function I/O interface, wherein the wrapper is configured to invoke the function, and wherein during execution the wrapper receives one or more input values in accordance with the modified textual function I/O interface and provides the one or more input values to the function via the textual function I/O interface.
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11. A computer-implemented method, comprising: utilizing a computer to perform: analyzing a graphical program, wherein the graphical program comprises a plurality of interconnected nodes that visually indicate functionality of the graphical program, and wherein the graphical program comprises an I/O interface comprising one or more ordered parameters for providing input to or receiving output from the graphical program; automatically generating a function in a textual programming language based on said analyzing the graphical program, wherein the function implements the functionality of the graphical program, and wherein the function comprises a textual function I/O interface with the one or more ordered parameters of the I/O interface of the graphical program; displaying the textual function I/O interface; receiving user input specifying one or more changes to the textual function I/O interface to produce a modified textual function I/O interface; and in response to the user input, automatically generating a wrapper for the function in the textual programming language with the modified textual function I/O interface, wherein the wrapper is configured to invoke the function, and wherein during execution the wrapper receives one or more input values in accordance with the modified textual function I/O interface and provides the one or more input values to the function via the textual function I/O interface. 17. The computer-implemented method of claim 11 , wherein said generating the function in a textual programming language comprises generating a first function prototype in accordance with the I/O interface of the graphical program; and wherein said generating the wrapper for the function in the textual programming language with the modified textual function I/O interface comprises generating a second function prototype in accordance with the modified textual function I/O interface.
| 0.602502 |
8. The system of claim 7 , wherein the operations further include: causing the additional portion of the work to be translated.
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8. The system of claim 7 , wherein the operations further include: causing the additional portion of the work to be translated. 9. The system of claim 8 , wherein the translator comprises a first translator and the causing the additional portion of the work to be translated includes causing the additional portion of the work to be translated by a second translator that has a higher level of experience than the first translator.
| 0.908544 |
1. A method performed on a computing device comprising an operating system, comprising: causing elements to be recognized that correspond to one or more browser-supported programming languages in an application by traversing a model of at least a portion of the application, wherein the recognized elements are those elements in the model that can be converted to native user interface elements in the operating system and rendered on a display of the computing device; converting the elements in the one or more browser-supported programming languages to native user interface elements; causing the native user interface elements to be rendered on the display of the computing device, wherein a native rendering process performs at least the converting the elements and causing the native user interface elements to be rendered and a web rendering process performs at least the causing the elements to be recognized, and performing both a web rendering of the application and a native rendering of the application in parallel by performing at least the following: the web rendering process, in response to a change in the model, calling the native renderer process to cause the native rendering process to render native user interface elements corresponding to recognized elements in a changed portion of the model; and the native rendering process, in response to an event occurring in the native rendering, injecting code corresponding to the event into the web rendering causing the web rendering process to be hidden from the display.
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1. A method performed on a computing device comprising an operating system, comprising: causing elements to be recognized that correspond to one or more browser-supported programming languages in an application by traversing a model of at least a portion of the application, wherein the recognized elements are those elements in the model that can be converted to native user interface elements in the operating system and rendered on a display of the computing device; converting the elements in the one or more browser-supported programming languages to native user interface elements; causing the native user interface elements to be rendered on the display of the computing device, wherein a native rendering process performs at least the converting the elements and causing the native user interface elements to be rendered and a web rendering process performs at least the causing the elements to be recognized, and performing both a web rendering of the application and a native rendering of the application in parallel by performing at least the following: the web rendering process, in response to a change in the model, calling the native renderer process to cause the native rendering process to render native user interface elements corresponding to recognized elements in a changed portion of the model; and the native rendering process, in response to an event occurring in the native rendering, injecting code corresponding to the event into the web rendering causing the web rendering process to be hidden from the display. 2. The method of claim 1 , wherein the one or more browser-supported programming languages comprise one or both of hypertext markup language or JavaScript.
| 0.630104 |
30. A computer-readable storage device having instructions encoded thereon, which, when executed by a processor, cause the processor to perform operations comprising: receiving a current location of a user's electronic device; retrieving data identifying a plurality of points of interest within a predetermined distance to the current location; ranking each point of interest based at least in part on the point of interest's proximity to the current location, wherein for at least one point of interest the ranking is further based on one or more updates associated with the point of interest, where each update comprises data about the point of interest input by an author other than the user into an online social network that includes the user; and providing data identifying one or more of the points of interest to the electronic device for presentation to the user on a display of the electronic device based on the ranking.
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30. A computer-readable storage device having instructions encoded thereon, which, when executed by a processor, cause the processor to perform operations comprising: receiving a current location of a user's electronic device; retrieving data identifying a plurality of points of interest within a predetermined distance to the current location; ranking each point of interest based at least in part on the point of interest's proximity to the current location, wherein for at least one point of interest the ranking is further based on one or more updates associated with the point of interest, where each update comprises data about the point of interest input by an author other than the user into an online social network that includes the user; and providing data identifying one or more of the points of interest to the electronic device for presentation to the user on a display of the electronic device based on the ranking. 34. The computer-readable storage device of claim 30 , wherein providing data identifying one or more of the points of interest to the electronic device for presentation to the user on a display of the electronic device comprises providing suggested search queries identifying the one or more points of interest.
| 0.670948 |
18. A method of enhancing the readability of rapidly displayed text by a subject and with a high degree of apprehension, at a rate which is greater than the maximum reading capability of that subject, said method comprising: a) generating a monitor background of selected color on a screen of a computer monitor and where the color of the background continuously and slowly changes over time; b) creating a window on the background of selected color and which window has a star field background with white and gray pixels; c) rapidly and sequentially displaying the words of the text through a display window on a monitor one word at a time; and d) automatically changing the color of the monitor background using pixels having four different color values and causing only a selected number of pixels to change at any point in time.
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18. A method of enhancing the readability of rapidly displayed text by a subject and with a high degree of apprehension, at a rate which is greater than the maximum reading capability of that subject, said method comprising: a) generating a monitor background of selected color on a screen of a computer monitor and where the color of the background continuously and slowly changes over time; b) creating a window on the background of selected color and which window has a star field background with white and gray pixels; c) rapidly and sequentially displaying the words of the text through a display window on a monitor one word at a time; and d) automatically changing the color of the monitor background using pixels having four different color values and causing only a selected number of pixels to change at any point in time. 21. The method of enhancing the readability of rapidly displayed text of claim 18 further characterized in that the method comprises allowing each of the words to pass through the display window at a rate in which the number of characters of each word is related to and a function of the total amount of time required for display of all of the words in a segment of the text such that the time of display of each of the words is the same except that certain words of this segment will be displayed for longer time periods than other words in this segment.
| 0.597478 |
1. A method for reproducing a 2D drawing from an annotated 3D computer-aided design (CAD) model, the method comprising: receiving, at a processing circuit, an annotated 3D CAD model of a physical part or assembly; generating, by the processing circuit, a 2D drawing of the physical part of assembly using the annotated 3D CAD model; receiving, at the processing circuit via a user interface, a modification to the 2D drawing; storing, by the processing circuit, the modification to the 2D drawing as 2D drawing parameters within the annotated 3D CAD model to amend the annotated 3D CAD model, wherein the 2D drawing parameters provide instructions for reproducing the 2D drawing including the modification, such that the 2D drawing is not saved; and reproducing, by the processing circuit, the 2D drawing including the modification using the 2D drawing parameters within the annotated 3D CAD model.
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1. A method for reproducing a 2D drawing from an annotated 3D computer-aided design (CAD) model, the method comprising: receiving, at a processing circuit, an annotated 3D CAD model of a physical part or assembly; generating, by the processing circuit, a 2D drawing of the physical part of assembly using the annotated 3D CAD model; receiving, at the processing circuit via a user interface, a modification to the 2D drawing; storing, by the processing circuit, the modification to the 2D drawing as 2D drawing parameters within the annotated 3D CAD model to amend the annotated 3D CAD model, wherein the 2D drawing parameters provide instructions for reproducing the 2D drawing including the modification, such that the 2D drawing is not saved; and reproducing, by the processing circuit, the 2D drawing including the modification using the 2D drawing parameters within the annotated 3D CAD model. 10. The method of claim 1 , wherein the annotated 3D CAD model is a first annotated 3D CAD model; wherein the modification to the 2D drawing comprises a view of a second annotated 3D CAD model; wherein storing the modification to the 2D drawing as 2D drawing parameters within the annotated 3D CAD model comprises storing a link defining a location of the second annotated 3D CAD model as an attribute of the first annotated 3D CAD model.
| 0.5 |
8. The method as recited in claim 7 wherein the degree of similarity is measured by said dot products exceeding a predetermined threshold.
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8. The method as recited in claim 7 wherein the degree of similarity is measured by said dot products exceeding a predetermined threshold. 9. The method as recited in claim 8 wherein said approximation representation is obtained by setting (k+1) through m diagonal values of S.sub.o to zero.
| 0.944325 |
20. A system for receiving interactive television information and providing interactive television to a user, comprising: a receiver having a processor coupled to a memory, the memory having computer readable code which when executed by the processor causes the receiver to perform a method comprising: receiving a stream comprising a script and a compiled business data in binary form, wherein said business data comprises descriptions of products and wherein said business data is compiled for use by a set-top box; processing said compiled business data in binary form according to said script; and processing requests within a script, independent from a further user interaction, to map an item of the business data into a named position within an authored page template, wherein a video presentation of the business data will be presented to the user.
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20. A system for receiving interactive television information and providing interactive television to a user, comprising: a receiver having a processor coupled to a memory, the memory having computer readable code which when executed by the processor causes the receiver to perform a method comprising: receiving a stream comprising a script and a compiled business data in binary form, wherein said business data comprises descriptions of products and wherein said business data is compiled for use by a set-top box; processing said compiled business data in binary form according to said script; and processing requests within a script, independent from a further user interaction, to map an item of the business data into a named position within an authored page template, wherein a video presentation of the business data will be presented to the user. 26. The system of claim 20 further including: processing a request within a script to construct a message containing the business data, based on a user action; and transmitting the selection to a transaction server, the transaction server for implementing a transaction in accordance with the user action.
| 0.5 |
7. A computer-readable storage medium containing instructions for controlling a computer system to calculate relevance of a document to a user, by a method comprising: providing click-through data generated when users submitted queries to a search engine and selected a document from results provided by the search engine; identifying user, query, and document triplets from the click-through data, each triplet indicating that the user of the triplet submitted the query of the triplet and the user selected the document of the triplet from results of the query provided by the search engine; receiving from a user a query; searching for documents to be provided as results of the received query; for each document of the results of the received query, determining a probability that the user from whom the query was received will find the document relevant by performing a smoothing of the identified triplets to account for sparseness of the triplets and calculating the probability based on the smoothed triplets, wherein the determined probability is based at least in part on identified triplets identified for users other than the user from whom the query was received and wherein the probability is the probability of the document given the user and the query when the corresponding user, query, and document triplet is identified and is the probability of the document given the query otherwise and wherein a back-off factor is applied to the probability; and displaying an indication of the documents to the user from whom the query was received in an order based on the determined probabilities of the documents.
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7. A computer-readable storage medium containing instructions for controlling a computer system to calculate relevance of a document to a user, by a method comprising: providing click-through data generated when users submitted queries to a search engine and selected a document from results provided by the search engine; identifying user, query, and document triplets from the click-through data, each triplet indicating that the user of the triplet submitted the query of the triplet and the user selected the document of the triplet from results of the query provided by the search engine; receiving from a user a query; searching for documents to be provided as results of the received query; for each document of the results of the received query, determining a probability that the user from whom the query was received will find the document relevant by performing a smoothing of the identified triplets to account for sparseness of the triplets and calculating the probability based on the smoothed triplets, wherein the determined probability is based at least in part on identified triplets identified for users other than the user from whom the query was received and wherein the probability is the probability of the document given the user and the query when the corresponding user, query, and document triplet is identified and is the probability of the document given the query otherwise and wherein a back-off factor is applied to the probability; and displaying an indication of the documents to the user from whom the query was received in an order based on the determined probabilities of the documents. 11. The computer-readable storage medium of claim 7 wherein the probability is based on similarity between the input document and document clusters identified based on relationships between users and queries.
| 0.518106 |
20. The non-transitory computer readable storage medium of claim 16 , wherein automatically identifying the external code referenced by the web page comprises: identifying at the least one embedded code block and the at least one import file; identifying one or more resources referenced by the web page; creating a resource information object for at least one of the identified one or more resources; and creating at least one list of the resource information objects.
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20. The non-transitory computer readable storage medium of claim 16 , wherein automatically identifying the external code referenced by the web page comprises: identifying at the least one embedded code block and the at least one import file; identifying one or more resources referenced by the web page; creating a resource information object for at least one of the identified one or more resources; and creating at least one list of the resource information objects. 21. The non-transitory computer readable storage medium of claim 20 , wherein the resources comprise any of: functions; a virtual function; methods; sub-routines; and any code block that performs a specific task.
| 0.771193 |
14. A system for identifying and displaying supplemental content associated with one or more advertisements responsive to a user query, the system comprising: an extraction component, wherein the extraction component comprises one or more processing elements operative to analyze a given one of the one or more advertisements, and extract one or more terms from display content of the given one of the one or more advertisements, the given one of the one or more advertisements, from which the one or more terms are extracted, being capable of being displayed in a search results display responsive the user query; a search component, wherein the search component comprises one or more processing elements operative to generate a supplemental query using the one or more terms extracted from the given one of the one or more advertisements and identify supplemental content from an advertiser of the given one of the one or more advertisements responsive to the supplemental query, the supplemental content associated with the one or more terms extracted from the given one of the one or more advertisements identified as responsive to the user query and including additional advertising content available from the advertiser of the given one of the one or more advertisements for a limited time period and based on a context of a querying user; a supplemental data store component, wherein the advertiser associated with supplemental content may specify the one or more terms in response to which the supplemental content is to be displayed; and a display component, wherein the display component comprises one or more processing elements operative to generate a search results display comprising a listing of search results responsive to the query, the given one of the one or more advertisements identified as responsive to a user query and the supplemental content associated with the given one of the one or more advertisements, the supplemental content being visible to the querying user upon a mouse over of the given one of the one or more advertisements, a selection of the given one of the one or more advertisements, or an inactivity of the querying user.
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14. A system for identifying and displaying supplemental content associated with one or more advertisements responsive to a user query, the system comprising: an extraction component, wherein the extraction component comprises one or more processing elements operative to analyze a given one of the one or more advertisements, and extract one or more terms from display content of the given one of the one or more advertisements, the given one of the one or more advertisements, from which the one or more terms are extracted, being capable of being displayed in a search results display responsive the user query; a search component, wherein the search component comprises one or more processing elements operative to generate a supplemental query using the one or more terms extracted from the given one of the one or more advertisements and identify supplemental content from an advertiser of the given one of the one or more advertisements responsive to the supplemental query, the supplemental content associated with the one or more terms extracted from the given one of the one or more advertisements identified as responsive to the user query and including additional advertising content available from the advertiser of the given one of the one or more advertisements for a limited time period and based on a context of a querying user; a supplemental data store component, wherein the advertiser associated with supplemental content may specify the one or more terms in response to which the supplemental content is to be displayed; and a display component, wherein the display component comprises one or more processing elements operative to generate a search results display comprising a listing of search results responsive to the query, the given one of the one or more advertisements identified as responsive to a user query and the supplemental content associated with the given one of the one or more advertisements, the supplemental content being visible to the querying user upon a mouse over of the given one of the one or more advertisements, a selection of the given one of the one or more advertisements, or an inactivity of the querying user. 15. The system of claim 14 wherein the extraction component is operative to extract one or more terms from text contained within an advertisement.
| 0.505679 |
30. A non-transitory computer usable medium or media storing program code which, when executed on one or more computerized devices, causes the one or more computerized devices to execute a method for processing a voice request for data specifying a web page, the request including at least a portion of, and invoking, a rule-based grammar statement, the method comprising: responsive to the voice request: identifying which one of a plurality of grammars is associated with the rule-based grammar statement; determining whether a first connection identified as being associated with the grammar is specified in a data structure identifying a plurality of connections and, for each of the plurality of connections, a respective grammar and a respective window in which a web page is presentable, wherein each of the identified grammars is processable by a processor to interpret a received voice request; and if the first connection is specified in the data structure, interpreting the request using the identified grammar, to request the specified webpage display the specified webpage in at least a portion of the window associated with the first connection.
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30. A non-transitory computer usable medium or media storing program code which, when executed on one or more computerized devices, causes the one or more computerized devices to execute a method for processing a voice request for data specifying a web page, the request including at least a portion of, and invoking, a rule-based grammar statement, the method comprising: responsive to the voice request: identifying which one of a plurality of grammars is associated with the rule-based grammar statement; determining whether a first connection identified as being associated with the grammar is specified in a data structure identifying a plurality of connections and, for each of the plurality of connections, a respective grammar and a respective window in which a web page is presentable, wherein each of the identified grammars is processable by a processor to interpret a received voice request; and if the first connection is specified in the data structure, interpreting the request using the identified grammar, to request the specified webpage display the specified webpage in at least a portion of the window associated with the first connection. 35. The non-transitory computer usable medium or media of claim 30 , wherein the request for data specifying a web page comprises a request for complex data.
| 0.719745 |
1. A method comprising: receiving at a computing device one or more identifiers and one or more data request types; generating and performing a first data query from at least one source identified by said one or more identifiers and having a data type associated with a first data request type of said one or more data request types; retrieving at least one first result from the at least one source in response to said first data query; generating and performing a second data query derived from said one or more identifiers and from a second data request type of said one or more data request types, wherein said second data request type is of a type different from said first data request type; and, retrieving at least one second result from the at least one source in response to said second data query, wherein said second data query is automatically generated based on said first data query to select said at least one second result having content associated with, but not identified by, said first data query.
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1. A method comprising: receiving at a computing device one or more identifiers and one or more data request types; generating and performing a first data query from at least one source identified by said one or more identifiers and having a data type associated with a first data request type of said one or more data request types; retrieving at least one first result from the at least one source in response to said first data query; generating and performing a second data query derived from said one or more identifiers and from a second data request type of said one or more data request types, wherein said second data request type is of a type different from said first data request type; and, retrieving at least one second result from the at least one source in response to said second data query, wherein said second data query is automatically generated based on said first data query to select said at least one second result having content associated with, but not identified by, said first data query. 12. The method, as set forth in claim 1 , wherein each said one or more identifiers comprise at least one of a valid domain name, fictitious domain name, domain name having a top level domain alias (TLDA), multilingual domain name, phone number, keyword, Publisher Item Identifier (PII), Digital Object Identifier (DOI), Inter Deposit Digital Number (IDDN), International Standard Book Number (ISBN), International Standard Technical Report Number (ISRN), International Standard Serial Number (ISSN), Serial Item and Contribution Identifier (SICI), Book Item and Component Identifier (BICI), European Article Number (EAN), Universal Product Code (UPC), Standard Address Number (SAN), international Standard Audiovisual Number (ISAN), International Standard Work Code (ISWC), International Standard Music Number (ISMN), International Standard Recording Code (ISRC), Intellectual Property Identification (IPI), Uniform File Identifier (UFI), Uniform Resource Identifier (URI), Persistent Uniform Resource Locator (PURL), Universally Unique Identifier (UUID), Globally Unique Identifier (GUID), Namespace Identifier (NID), Bank Identification Number (BIN), Personal Identification Number (PIN), Mod 10 Number, credit card number, Electronic Serial Number (ESN), Mobile Identification Number (MIN), Automatic Number Identification (ANI), Social Security Number (SSN), Employer Identification Number (EIN), Taxpayer Identification Number (TIN), Vehicle Identification Number (VIN), World manufacturer identifier (WMI), Manufacturer Identification Number (MIN), Market Identifier Code (MIC), Standard Industrial Classification (SIC), Standard Occupational Classification (SOC), Stock Keeping Unit number (SKU), International Business Entity Identifier (IBEI), Institution Identification Code (IIC), National Provider Identifier (NPI), Dunn and Bradstreet Number (DUNS), SEC file number, patent number, trademark number, serial number, charter number, policy number, certification number, document identifier, reference number, invoice number, transaction identifier, validation code, account number, merchant code, reseller code, affiliate code, authorization code, network identifier, user identifier, PCP key, digital certificate, driver license number, license plate number, trademark, service mark, tradename, fictitious name, company name, DBA, AKA, stock symbol, station identifier, broadcast station call letters, ham radio call letters, broadcast frequency number, street name, street address, ZIP code, IP address, host, e-mail address, ICQ number, nickname, screen name, username, alias, handle, document title, book title, song title, movie title, phrase, slogan, machine readable code, glyph, image, icon, animation, sequence of musical notes, date, time, name, abbreviation, mnemonic, moniker, label, and token.
| 0.5 |
1. A method of querying one or more structured documents with an original query, the method comprising the steps of: providing a list of indexing components of the structured documents to be queried wherein said indexing components comprise at least markup tags; parsing at least one schema of the structured documents to determine predefined deterministic relationships between the indexing components; removing from the list those indexing components whose occurrences can be inferred, using said determined predefined deterministic relationships, from occurrences of another indexing component, to provide a reduced list of indexing components; indexing said structured documents by generating indices using said reduced list of indexing components, wherein the generated indices point to occurrences of the indexing components included in the reduced list of indexing components within the structured documents; generating a mapping list that maps the removed indexing components to indexing components in the reduced list of indexing components used to generate the indices; reformulating an original query by substituting references to one or more removed indexing components in the original query with references to indexing components in said reduced list of indexing components, using the generated mapping list; querying said one or more structured documents by using said generated indices and said reformulated query to provide one or more sets of intermediate results; and performing post-retrieval processing on the one or more sets of intermediate results to form a final result of said original query, wherein said post-retrieval processing comprises the sub-steps of: locating the removed indexing components existing in the one or more sets of intermediate results; and generating the final result set to satisfy the original query using the located removed indexing components.
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1. A method of querying one or more structured documents with an original query, the method comprising the steps of: providing a list of indexing components of the structured documents to be queried wherein said indexing components comprise at least markup tags; parsing at least one schema of the structured documents to determine predefined deterministic relationships between the indexing components; removing from the list those indexing components whose occurrences can be inferred, using said determined predefined deterministic relationships, from occurrences of another indexing component, to provide a reduced list of indexing components; indexing said structured documents by generating indices using said reduced list of indexing components, wherein the generated indices point to occurrences of the indexing components included in the reduced list of indexing components within the structured documents; generating a mapping list that maps the removed indexing components to indexing components in the reduced list of indexing components used to generate the indices; reformulating an original query by substituting references to one or more removed indexing components in the original query with references to indexing components in said reduced list of indexing components, using the generated mapping list; querying said one or more structured documents by using said generated indices and said reformulated query to provide one or more sets of intermediate results; and performing post-retrieval processing on the one or more sets of intermediate results to form a final result of said original query, wherein said post-retrieval processing comprises the sub-steps of: locating the removed indexing components existing in the one or more sets of intermediate results; and generating the final result set to satisfy the original query using the located removed indexing components. 3. A method as claimed in claim 1 , wherein said structured documents are XML documents and said schemas are XML schemas.
| 0.602972 |
4. The system of claim 1 , wherein the actions further comprise conditionally generating an alert of the change based at least on the imported metadata matching the query.
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4. The system of claim 1 , wherein the actions further comprise conditionally generating an alert of the change based at least on the imported metadata matching the query. 7. The system of claim 4 , wherein the alert is a visual alert.
| 0.93887 |
17. The method of claim 14 further comprising the step of creating a second association between said script and second original multimedia assets.
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17. The method of claim 14 further comprising the step of creating a second association between said script and second original multimedia assets. 18. The method of claim 17 further comprising the step of running said script in connection with said second association.
| 0.946711 |
1. One or more computer-readable storage devices storing processor-executable instructions that, when executed, cause one or more processors to perform operations that facilitate interactive exposing of word-alignments between a bilingual sentence pair, the operations comprising: concurrently displaying each sentence of the bilingual sentence pair via a user-interface (UI); receiving a user selection of an of-interest word or phrase of a first sentence of the bilingual sentence pair; in response to the receiving, performing actions including: highlighting the of-interest word or phrase via the UI; finding a linked word in a second sentence of the bilingual sentence pair that corresponds to the of-interest word; and highlighting the linked word via the UI; and presenting to a user, via the UI, a control to reassign the highlighted word-alignment between the bilingual sentence pair.
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1. One or more computer-readable storage devices storing processor-executable instructions that, when executed, cause one or more processors to perform operations that facilitate interactive exposing of word-alignments between a bilingual sentence pair, the operations comprising: concurrently displaying each sentence of the bilingual sentence pair via a user-interface (UI); receiving a user selection of an of-interest word or phrase of a first sentence of the bilingual sentence pair; in response to the receiving, performing actions including: highlighting the of-interest word or phrase via the UI; finding a linked word in a second sentence of the bilingual sentence pair that corresponds to the of-interest word; and highlighting the linked word via the UI; and presenting to a user, via the UI, a control to reassign the highlighted word-alignment between the bilingual sentence pair. 7. One or more computer-readable storage devices as recited in claim 1 , the operations further comprising emphasizing an emphasis word or phrase in each of the first and second sentences of the bilingual sentence pair, wherein the emphasis word or phrase of each sentence is word-aligned with a query word or phrase of the other sentence.
| 0.712909 |
9. A computer program product for determining compliance of content with a content policy, the computer program product comprising a non-transitory computer-readable storage medium containing computer program code for: receiving a content item comprising text and one or more images; extracting a plurality of text signals from the text; extracting a plurality of image signals from the one or more images; inputting the plurality of text signals and the plurality of image signals into a two-tier classifier system by inputting the plurality of text signals into a text classifier model of a first tier of the two-tier classifier system, inputting the plurality of image signals into an image classifier model of the first tier of the two tier-classifier system, and inputting output classifications of the text classifier model and of the image classifier model into a second-tier classifier model, the second-tier classifier outputting a confidence value expressing likelihood of compliance with a content policy of an online system; comparing the confidence value against a pre-defined threshold value; and based on the comparison, assigning a compliance classification to the content item.
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9. A computer program product for determining compliance of content with a content policy, the computer program product comprising a non-transitory computer-readable storage medium containing computer program code for: receiving a content item comprising text and one or more images; extracting a plurality of text signals from the text; extracting a plurality of image signals from the one or more images; inputting the plurality of text signals and the plurality of image signals into a two-tier classifier system by inputting the plurality of text signals into a text classifier model of a first tier of the two-tier classifier system, inputting the plurality of image signals into an image classifier model of the first tier of the two tier-classifier system, and inputting output classifications of the text classifier model and of the image classifier model into a second-tier classifier model, the second-tier classifier outputting a confidence value expressing likelihood of compliance with a content policy of an online system; comparing the confidence value against a pre-defined threshold value; and based on the comparison, assigning a compliance classification to the content item. 16. The computer program product of claim 9 , further comprising: responsive to the compliance classification determined for the content item indicating a likelihood of violating the content policy, performing at least one remedial action of: blocking the content item from being transmitted or displayed to a user, passing the content item to a human controller for manual review, and marking the content item with a tag.
| 0.5 |
4. The method of claim 1 wherein the entity extraction computer associates an extracted entity with one or more co-occurring entities in the entity indexed electronic data corpus.
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4. The method of claim 1 wherein the entity extraction computer associates an extracted entity with one or more co-occurring entities in the entity indexed electronic data corpus. 5. The method of claim 4 wherein the associated entities are ranked by the confidence score.
| 0.981772 |
11. A method, comprising: receiving a candidate file from a client; obtaining a basic information associated with the candidate file through analyzing the candidate file; encrypting the candidate file; storing the basic information associated with the candidate file to a database and storing the encrypted candidate file to a file server; receiving a file checking task from a file checking device, wherein the file checking task comprises at least a storage address of the candidate file and the basic information associated with executing the candidate file; obtaining the candidate file using the storage address associated with the candidate file; executing the candidate file based at least in part on the basic information associated with executing the candidate file; generating a monitored action record based at least in part on monitoring the execution of the candidate file, wherein the monitored action record comprises an action associated with one or more of the following: a file creation function, a file deletion function, an information changing function, a registration table creation function, and a registration table value setting function; and sending the candidate file to the file checking device, wherein receipt of the candidate file causes the file checking device to: determine a determined set of actions included in the monitored action record that matches one or more action types included in a preset malicious action set; and determine whether the candidate file is a malicious file based at least in part on the determined set of actions.
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11. A method, comprising: receiving a candidate file from a client; obtaining a basic information associated with the candidate file through analyzing the candidate file; encrypting the candidate file; storing the basic information associated with the candidate file to a database and storing the encrypted candidate file to a file server; receiving a file checking task from a file checking device, wherein the file checking task comprises at least a storage address of the candidate file and the basic information associated with executing the candidate file; obtaining the candidate file using the storage address associated with the candidate file; executing the candidate file based at least in part on the basic information associated with executing the candidate file; generating a monitored action record based at least in part on monitoring the execution of the candidate file, wherein the monitored action record comprises an action associated with one or more of the following: a file creation function, a file deletion function, an information changing function, a registration table creation function, and a registration table value setting function; and sending the candidate file to the file checking device, wherein receipt of the candidate file causes the file checking device to: determine a determined set of actions included in the monitored action record that matches one or more action types included in a preset malicious action set; and determine whether the candidate file is a malicious file based at least in part on the determined set of actions. 12. The method of claim 11 , wherein generating the monitored action record based at least in part on monitoring the execution of the candidate file comprises: executing the candidate file by at least two virtual machines based at least in part on the basic information associated with executing the candidate file, wherein each virtual machine corresponds to the candidate file; and invoking one or more functions in a preset dynamic link library (DLL) during the execution of the candidate file to monitor the execution of the candidate file and generate the monitored action record corresponding to the execution of the candidate file.
| 0.858628 |
12. The computer program product as recited in claim 8 , wherein the program code further comprises the programming instructions for: receiving one or more identifiers to identify said one or more designated primary objects.
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12. The computer program product as recited in claim 8 , wherein the program code further comprises the programming instructions for: receiving one or more identifiers to identify said one or more designated primary objects. 13. The computer program product as recited in claim 12 , wherein the program code further comprises the programming instructions for: assigning said score for each of said one or more designated primary objects based on closeness in location of said each identified term to said one or more identifiers used to identify each of said one or more designated primary objects in said document.
| 0.84822 |
9. A system for providing out-of-vocabulary interpretation capabilities and for tolerating noise when interpreting natural language speech utterances, the system comprising: at least one input device that receives an utterance from a user and generates an electronic signal corresponding to the utterance; and a speech interpretation engine that receives the electronic signal corresponding to the utterance, the speech interpretation engine operable to: recognize a stream of phonemes contained in the utterance; map the recognized stream of phonemes to an acoustic grammar that phonemically represents one or more syllables, the recognized stream of phonemes mapped to a series of one or more of the phonemically represented syllables; and generate at least one interpretation of the utterance, wherein the generated interpretation includes the series of syllables mapped to the recognized stream of phonemes.
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9. A system for providing out-of-vocabulary interpretation capabilities and for tolerating noise when interpreting natural language speech utterances, the system comprising: at least one input device that receives an utterance from a user and generates an electronic signal corresponding to the utterance; and a speech interpretation engine that receives the electronic signal corresponding to the utterance, the speech interpretation engine operable to: recognize a stream of phonemes contained in the utterance; map the recognized stream of phonemes to an acoustic grammar that phonemically represents one or more syllables, the recognized stream of phonemes mapped to a series of one or more of the phonemically represented syllables; and generate at least one interpretation of the utterance, wherein the generated interpretation includes the series of syllables mapped to the recognized stream of phonemes. 10. The system of claim 9 , the acoustic grammar phonemically representing the one or more syllables in accordance with acoustic elements of an acoustic speech model, wherein each syllable is represented by acoustic elements for an onset, a nucleus, and a coda.
| 0.635682 |
1. A method programmed in a non-transitory memory of a device comprising: a. automatically analyzing target information; b. automatically fact checking the target information by comparing the target information with source information to generate a result, wherein comparing includes at least one of: i. searching for an exact match of the target information in the source information and returning the exact match search result of the exact match search if the exact match is found; ii. utilizing pattern matching for fact checking and returning the result of the pattern matching fact check if a pattern matching result confidence score is above a pattern matching result confidence threshold; and iii. utilizing a natural language search for fact checking and returning the result of the natural language fact check if a natural language result confidence score is above a natural language result confidence threshold; and c. automatically presenting a status of the target information in real-time based on the result of the comparison of the target information with the source information, wherein searching for the exact match begins searching the source information controlled by a media company, then using crowdsourced data as the source information, and then using world wide web data for fact checking; wherein utilizing pattern matching begins utilizing the source information controlled by the media company, then using the crowdsourced data as the source information, and then using the world wide web data for fact checking; and wherein the natural language search begins searching the source information controlled by the media company, then using the crowdsourced data as the source information, and then using the world wide web data for fact checking, wherein searching for the exact match begins searching the source information located in a designated fact checking database, then goes to a broader set of source information, and repeatedly goes to broader sets of source information until a broadest source information set has been exhausted; wherein utilizing pattern matching begins utilizing the source information located in the designated fact checking database, then goes to the broader set of source information, and repeatedly goes to broader sets of source information until the broadest source information set has been exhausted; and wherein the natural language search begins searching the source information located in the designated fact checking database, then goes to the broader set of source information, and repeatedly goes to broader sets of source information until the broadest source information set has been exhausted.
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1. A method programmed in a non-transitory memory of a device comprising: a. automatically analyzing target information; b. automatically fact checking the target information by comparing the target information with source information to generate a result, wherein comparing includes at least one of: i. searching for an exact match of the target information in the source information and returning the exact match search result of the exact match search if the exact match is found; ii. utilizing pattern matching for fact checking and returning the result of the pattern matching fact check if a pattern matching result confidence score is above a pattern matching result confidence threshold; and iii. utilizing a natural language search for fact checking and returning the result of the natural language fact check if a natural language result confidence score is above a natural language result confidence threshold; and c. automatically presenting a status of the target information in real-time based on the result of the comparison of the target information with the source information, wherein searching for the exact match begins searching the source information controlled by a media company, then using crowdsourced data as the source information, and then using world wide web data for fact checking; wherein utilizing pattern matching begins utilizing the source information controlled by the media company, then using the crowdsourced data as the source information, and then using the world wide web data for fact checking; and wherein the natural language search begins searching the source information controlled by the media company, then using the crowdsourced data as the source information, and then using the world wide web data for fact checking, wherein searching for the exact match begins searching the source information located in a designated fact checking database, then goes to a broader set of source information, and repeatedly goes to broader sets of source information until a broadest source information set has been exhausted; wherein utilizing pattern matching begins utilizing the source information located in the designated fact checking database, then goes to the broader set of source information, and repeatedly goes to broader sets of source information until the broadest source information set has been exhausted; and wherein the natural language search begins searching the source information located in the designated fact checking database, then goes to the broader set of source information, and repeatedly goes to broader sets of source information until the broadest source information set has been exhausted. 16. The method of claim 1 further comprising utilizing a plurality of fact checking implementations initially, wherein each fact checking implementation utilizes a different set of source information, and comparing results of each fact checking implementation, and iteratively eliminating any fact checking implementations of the plurality of fact checking implementations with a confidence score below a threshold until two fact checking implementations remain and are used in a continuous, competitive fact checking implementation wherein the results of the two remaining fact checking implementations are compared to determine a final fact check result.
| 0.568481 |
18. The touch screen system of claim 11 , wherein: the touch screen system further comprises a clock; and the command interpreter is configured to start a timer that relies on the clock in response to identification of a stationary contact with the graphical display.
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18. The touch screen system of claim 11 , wherein: the touch screen system further comprises a clock; and the command interpreter is configured to start a timer that relies on the clock in response to identification of a stationary contact with the graphical display. 22. The touch screen system of claim 18 , wherein the command interpreter is configured to interpret the stationary contact as a command directing that that further details regarding an entry contacted by the stationary contact in response to a failure to receive a second user interaction before the timer reaches a threshold period.
| 0.860184 |
1. A method for generating typographical line adapted to generating a plurality of typographical lines of a line of printing words in an image, wherein the line of printing words comprises a plurality of printing characters, the method comprising: using an optical character recognition device to perform the steps of (a) obtaining the image comprising the printing words; (b) scanning the line of printing words and labeling a first edge and a second edge of each printing character in the line of printing words; (c) extracting a first edge reference point of the first edge and a second edge reference point of the second edge of each of the printing characters, respectively; (d) using a least square method to obtain a first straight line asymptotic to the first edge reference points; (e) using the first straight line as a first base line to calculate a vertical distance between each of the second edge reference points and the first base line; (f) using a group converging algorithm to divide the second edge reference points into a first group and a second group according to the vertical distances; (g) using the least square method to obtain a second straight line and a third straight line asymptotic to the first group and the second group of the second edge reference points, respectively; (h) using the second straight line or the third straight line obtained from corresponding first group or second group that has the most reference points as a second base line to calculate a vertical distance between each of the first edge reference point and the second base line; (i) using the group converging algorithm to divide the first edge reference points into a third group and a fourth group according to the vertical distances; (j) using the least square method to obtain a fourth straight line and a fifth straight line asymptotic to the first edge reference points of the third group and the fourth group, respectively; and (k) using the second straight line, the third straight line, the fourth straight line and the fifth straight line as the typographical lines of the printing word line.
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1. A method for generating typographical line adapted to generating a plurality of typographical lines of a line of printing words in an image, wherein the line of printing words comprises a plurality of printing characters, the method comprising: using an optical character recognition device to perform the steps of (a) obtaining the image comprising the printing words; (b) scanning the line of printing words and labeling a first edge and a second edge of each printing character in the line of printing words; (c) extracting a first edge reference point of the first edge and a second edge reference point of the second edge of each of the printing characters, respectively; (d) using a least square method to obtain a first straight line asymptotic to the first edge reference points; (e) using the first straight line as a first base line to calculate a vertical distance between each of the second edge reference points and the first base line; (f) using a group converging algorithm to divide the second edge reference points into a first group and a second group according to the vertical distances; (g) using the least square method to obtain a second straight line and a third straight line asymptotic to the first group and the second group of the second edge reference points, respectively; (h) using the second straight line or the third straight line obtained from corresponding first group or second group that has the most reference points as a second base line to calculate a vertical distance between each of the first edge reference point and the second base line; (i) using the group converging algorithm to divide the first edge reference points into a third group and a fourth group according to the vertical distances; (j) using the least square method to obtain a fourth straight line and a fifth straight line asymptotic to the first edge reference points of the third group and the fourth group, respectively; and (k) using the second straight line, the third straight line, the fourth straight line and the fifth straight line as the typographical lines of the printing word line. 14. The method of generating typographical line according to claim 1 , wherein the first edge reference point and the second edge reference point of each of the printing characters comprise either the center point or end point of the first edge and the second edge of each of the printing characters.
| 0.587621 |
11. An Internet visualization system, comprising: a computing device; an Internet visualization framework to run on the computing device, including: an input to receive Internet search logs; a query analyzer to determine most popular search queries across the world at a current time; a user interface to portray at least a keyword of each of the most popular search queries across the world in a single three-dimensional graphical visual display; wherein the user interface relates each popular query to a geographical location where the popular query has greatest popularity; wherein the user interface shows a relative popularity of each popular query; and wherein the user interface shows dynamically changing popularity of each popular query over time, the user interface configured to show correlations between the geographical location where the popular query has greatest popularity, the relative popularity of each popular query, and the dynamically changing popularity of each popular query over time.
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11. An Internet visualization system, comprising: a computing device; an Internet visualization framework to run on the computing device, including: an input to receive Internet search logs; a query analyzer to determine most popular search queries across the world at a current time; a user interface to portray at least a keyword of each of the most popular search queries across the world in a single three-dimensional graphical visual display; wherein the user interface relates each popular query to a geographical location where the popular query has greatest popularity; wherein the user interface shows a relative popularity of each popular query; and wherein the user interface shows dynamically changing popularity of each popular query over time, the user interface configured to show correlations between the geographical location where the popular query has greatest popularity, the relative popularity of each popular query, and the dynamically changing popularity of each popular query over time. 15. The Internet visualization system as recited in claim 11 , further comprising criteria filters included in the query analyzer to determine most popular queries according to various criteria.
| 0.581144 |
27. A method comprising: at a first electronic device having a microphone: sampling, with the microphone at the first electronic device, an audio input specifying a task; identifying, with the first electronic device, a confidence value indicative of a likelihood that the audio input was provided by a particular user; broadcasting, with the first electronic device, a first set of one or more values based on the sampled audio input, wherein a first value of the first set of values is based on the confidence value; receiving, with the first electronic device, a second set of one or more values from a second electronic device, wherein the second set of one or more values is based on the audio input; determining, with the first electronic device, whether a type of the first electronic device meets a requirement of the task; and in accordance with a determination that the type of the first electronic device meets the requirement of the task; determining, with the first electronic device, whether the first electronic device is to respond to the audio input based on the first set of one or more values, the second set of one or more values, and the requirement of the task; in accordance with a determination that the first electronic device is to respond to the audio input, responding to the audio input; in accordance with a determination that the first electronic device is not to respond to the audio input, foregoing responding to the audio input; and in accordance with a determination that the type of the first electronic device does not meet the requirement of the task, foregoing responding to the audio input with the first electronic device.
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27. A method comprising: at a first electronic device having a microphone: sampling, with the microphone at the first electronic device, an audio input specifying a task; identifying, with the first electronic device, a confidence value indicative of a likelihood that the audio input was provided by a particular user; broadcasting, with the first electronic device, a first set of one or more values based on the sampled audio input, wherein a first value of the first set of values is based on the confidence value; receiving, with the first electronic device, a second set of one or more values from a second electronic device, wherein the second set of one or more values is based on the audio input; determining, with the first electronic device, whether a type of the first electronic device meets a requirement of the task; and in accordance with a determination that the type of the first electronic device meets the requirement of the task; determining, with the first electronic device, whether the first electronic device is to respond to the audio input based on the first set of one or more values, the second set of one or more values, and the requirement of the task; in accordance with a determination that the first electronic device is to respond to the audio input, responding to the audio input; in accordance with a determination that the first electronic device is not to respond to the audio input, foregoing responding to the audio input; and in accordance with a determination that the type of the first electronic device does not meet the requirement of the task, foregoing responding to the audio input with the first electronic device. 29. The method of claim 27 , wherein a value of the first set of values is based on a sound pressure of the audio input sampled with the first electronic device.
| 0.647753 |
1. A method comprising: creating, using a visual programming language, a topological framework model configured to both spatially arrange a set of one or more agent submodels and incorporate an environmental submodel of a real-world environment for each position of the topological framework model; creating, using the visual programming language, a set of one or more agent submodels, each of which includes executable software to cause the agent submodel to mimic behavior of a previously identified animate real world object; creating, using the visual programming language, a set of environmental submodels of one or more real-world environments, each of which is configured to simulate a real-world environment associated with an identified position of the topological framework model; populating, using the visual programming language, each position of the topological framework model with a member of the set of environmental submodels; populating, using the visual programming language, the topological framework model with each member of the set of agent submodels; capturing the topological framework model by converting elements of the visual programming language to a textual programming language to create an execution script; beginning execution of the topological framework model according to the execution script; tracking incremental steps of execution of each member of the set of agent submodels according to a clock configured to synchronize execution of each member of the set of agent submodels; and displaying, in a graphical user interface, a visual representation of the topological framework model associated with a specific clock tick; wherein an environmental submodel at the identified position of the topological framework model is configured to influence behavior of an agent submodel at the identified position of the topological framework model by either constraining or enabling a behavior of the agent submodel at the identified position of the topological framework model, the agent sub-model is configured to alter a parameter of the environmental submodel at the identified position of the topological framework model, and the set of agent submodels is further disposed in an agent vector that is not spatially organized and that is configured to facilitate communication among the one or more agent sub-models.
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1. A method comprising: creating, using a visual programming language, a topological framework model configured to both spatially arrange a set of one or more agent submodels and incorporate an environmental submodel of a real-world environment for each position of the topological framework model; creating, using the visual programming language, a set of one or more agent submodels, each of which includes executable software to cause the agent submodel to mimic behavior of a previously identified animate real world object; creating, using the visual programming language, a set of environmental submodels of one or more real-world environments, each of which is configured to simulate a real-world environment associated with an identified position of the topological framework model; populating, using the visual programming language, each position of the topological framework model with a member of the set of environmental submodels; populating, using the visual programming language, the topological framework model with each member of the set of agent submodels; capturing the topological framework model by converting elements of the visual programming language to a textual programming language to create an execution script; beginning execution of the topological framework model according to the execution script; tracking incremental steps of execution of each member of the set of agent submodels according to a clock configured to synchronize execution of each member of the set of agent submodels; and displaying, in a graphical user interface, a visual representation of the topological framework model associated with a specific clock tick; wherein an environmental submodel at the identified position of the topological framework model is configured to influence behavior of an agent submodel at the identified position of the topological framework model by either constraining or enabling a behavior of the agent submodel at the identified position of the topological framework model, the agent sub-model is configured to alter a parameter of the environmental submodel at the identified position of the topological framework model, and the set of agent submodels is further disposed in an agent vector that is not spatially organized and that is configured to facilitate communication among the one or more agent sub-models. 3. The method of claim 1 , further comprising a step of connecting a graphical code chip to a graphical input pin.
| 0.523848 |
1. A method ( 30 ) of recognizing handwriting input, comprising the steps of: a) providing ( 32 ) a database of characters to be recognized, wherein characters are defined by a sequence of written reference strokes; b) acquiring ( 34 ) written spatiotemporal input from a user in the form of discrete input strokes; c) comparing ( 36 ) the discrete input strokes to the database of characters to obtain a comparison result; and d) selecting and updating ( 38 ) a plurality of candidate character sequences based on (i) the comparison result and (ii) a candidate character sequence history derived from at least two sequential strokes previously acquired in step b, wherein the candidate character sequence history comprises a plurality of candidate characters.
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1. A method ( 30 ) of recognizing handwriting input, comprising the steps of: a) providing ( 32 ) a database of characters to be recognized, wherein characters are defined by a sequence of written reference strokes; b) acquiring ( 34 ) written spatiotemporal input from a user in the form of discrete input strokes; c) comparing ( 36 ) the discrete input strokes to the database of characters to obtain a comparison result; and d) selecting and updating ( 38 ) a plurality of candidate character sequences based on (i) the comparison result and (ii) a candidate character sequence history derived from at least two sequential strokes previously acquired in step b, wherein the candidate character sequence history comprises a plurality of candidate characters. 5. The method of claim 1 , wherein the step of providing a database of characters comprises the steps of: a) acquiring ( 72 ) spatiotemporal training input from a user corresponding to an exemplar character, wherein the spatiotemporal training input is provided in the form of discrete input strokes; b) normalizing ( 74 ) the discrete input strokes into a sequence of normalized representations; and c) storing ( 76 ) the normalized representations into the database.
| 0.529636 |
1. A computer network-based messaging system including a multiple-layer chat filtering system for controlling the content of messages sent by users in the messaging system, the messaging system comprising: a user computer that receives a message, the message including a plurality of words entered by a sender; one or more data storage devices including: a word database including a plurality of permitted words which are allowed to be transmitted, and a phrase database including a plurality of prohibited phrases which are not allowed to be transmitted, at least one of the plurality of prohibited phrases consisting of a plurality of individual words that are each included in the word database, wherein said phrase database is not part of the user computer in the computer network and said user computer is operative to send information addressed to a messaging server system that is remote from the user computer, and said user computer receives an indication from the phrase database of whether said information includes the prohibited phrases; and a message sending part that transmits the message over a computer network only if all of the plurality of words entered by the sender are contained in the word database and none of the plurality of prohibited phrases are contained in the message, wherein the user computer provides a display of the message to the sender prior to the message sending part transmitting the message, and wherein the display highlights words included in the message that must be removed before the message sending part will transmit the message over the computer network.
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1. A computer network-based messaging system including a multiple-layer chat filtering system for controlling the content of messages sent by users in the messaging system, the messaging system comprising: a user computer that receives a message, the message including a plurality of words entered by a sender; one or more data storage devices including: a word database including a plurality of permitted words which are allowed to be transmitted, and a phrase database including a plurality of prohibited phrases which are not allowed to be transmitted, at least one of the plurality of prohibited phrases consisting of a plurality of individual words that are each included in the word database, wherein said phrase database is not part of the user computer in the computer network and said user computer is operative to send information addressed to a messaging server system that is remote from the user computer, and said user computer receives an indication from the phrase database of whether said information includes the prohibited phrases; and a message sending part that transmits the message over a computer network only if all of the plurality of words entered by the sender are contained in the word database and none of the plurality of prohibited phrases are contained in the message, wherein the user computer provides a display of the message to the sender prior to the message sending part transmitting the message, and wherein the display highlights words included in the message that must be removed before the message sending part will transmit the message over the computer network. 10. The messaging system of claim 1 , wherein the user computer includes a client- side chat filter module that examines the message for the presence of two-word phrases included in a client-side black list, wherein the client-side chat filter module blocks the message only if the individual words forming the two-word phrase are found next to each other in the message.
| 0.592257 |
1. A method for scoring likelihood of success of revised queries suggested for an original query, the method comprising: maintaining log files of user clicks on results provided in response to the revised queries suggested for the original query, the log files including data representing features associated with the original query and the revised queries, and a respective feature value for each feature; selecting a condition, wherein the condition specifies one or more feature values for a corresponding one or more features; selecting the revised queries that, for a particular feature, are associated with a feature value that matches one or more of the feature values specified by the condition for the particular feature; collecting click data for the selected revised queries from the log files, the click data including click length data, wherein a long click on a result for a particular revised query in the log files is taken as indicating a success of the particular revised query; analyzing the click data for the selected revised queries to determine a weight for the condition; formulating a rule by one or more computers, wherein the rule includes the condition and the weight; and adding the rule to a predictive model, wherein the model includes a set of rules that contribute to a prediction of a respective likelihood of success for the revised queries.
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1. A method for scoring likelihood of success of revised queries suggested for an original query, the method comprising: maintaining log files of user clicks on results provided in response to the revised queries suggested for the original query, the log files including data representing features associated with the original query and the revised queries, and a respective feature value for each feature; selecting a condition, wherein the condition specifies one or more feature values for a corresponding one or more features; selecting the revised queries that, for a particular feature, are associated with a feature value that matches one or more of the feature values specified by the condition for the particular feature; collecting click data for the selected revised queries from the log files, the click data including click length data, wherein a long click on a result for a particular revised query in the log files is taken as indicating a success of the particular revised query; analyzing the click data for the selected revised queries to determine a weight for the condition; formulating a rule by one or more computers, wherein the rule includes the condition and the weight; and adding the rule to a predictive model, wherein the model includes a set of rules that contribute to a prediction of a respective likelihood of success for the revised queries. 8. The method of claim 1 , wherein the click length data is associated with the revised queries or corresponding search results.
| 0.59172 |
1. A method of generating a user interface for a topology of virtual computing resources and application components executing thereon, the method comprising: generating a plurality of topology components arranged in a grid layout and including a source topology component and a destination topology component, wherein the grid layout includes a plurality of ways comprising gaps between the plurality of topology components; determining a first path segment from the source topology component to the ways, comprising: determining the first path segment travels to an intersection between two of the ways in a direction of the destination topology component; determining a second path segment from the ways to the destination topology component; generating a graphic element based on the determined first and second path segments, wherein the graphic element is a topology connection comprising a plurality of scalar vector graphics connecting the source topology component to the destination topology component; and rendering, on a display device, a graphical user interface comprising the graphic element connecting the source topology component to the destination topology component.
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1. A method of generating a user interface for a topology of virtual computing resources and application components executing thereon, the method comprising: generating a plurality of topology components arranged in a grid layout and including a source topology component and a destination topology component, wherein the grid layout includes a plurality of ways comprising gaps between the plurality of topology components; determining a first path segment from the source topology component to the ways, comprising: determining the first path segment travels to an intersection between two of the ways in a direction of the destination topology component; determining a second path segment from the ways to the destination topology component; generating a graphic element based on the determined first and second path segments, wherein the graphic element is a topology connection comprising a plurality of scalar vector graphics connecting the source topology component to the destination topology component; and rendering, on a display device, a graphical user interface comprising the graphic element connecting the source topology component to the destination topology component. 5. The method of claim 1 , further comprising: dividing the ways into a plurality of lanes; and assigning the second path segment to one of the plurality of lanes based on a direction of the second path segment.
| 0.64496 |
1. A computer implemented method for generating a semantic network, the method comprising: representing an information domain as a data set, the data set being defined by data entities and one or more relationships between the data entities; receiving a text query from a human user; and synthesizing, or facilitating the synthesizing of, by one or more computer processors, a semantic network in response to the text query, the synthesizing comprising: translating the text query from the human user into an active concept; including the active concept as a node in the semantic network; deriving relationships between the active concept and selected data entities from the information domain; and populating the semantic network at least in part with the selected data entities from the information domain and the derived relationships between the selected data entities and the active concept.
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1. A computer implemented method for generating a semantic network, the method comprising: representing an information domain as a data set, the data set being defined by data entities and one or more relationships between the data entities; receiving a text query from a human user; and synthesizing, or facilitating the synthesizing of, by one or more computer processors, a semantic network in response to the text query, the synthesizing comprising: translating the text query from the human user into an active concept; including the active concept as a node in the semantic network; deriving relationships between the active concept and selected data entities from the information domain; and populating the semantic network at least in part with the selected data entities from the information domain and the derived relationships between the selected data entities and the active concept. 11. The computer implemented method of claim 1 , wherein translating the query comprises label-to-concept translation.
| 0.630558 |
1. A method of recommending a path comprising learning objects and learning vectors, the method comprising: automatically generating a learning object network, wherein generating the learning object network comprises: automatically receiving a plurality content objects from a plurality of data sources via a network at a processor, wherein each of the learning objects comprises an aggregation of learning content that is associated with an assessment; automatically generating a plurality of learning vectors connecting the plurality of content objects with the processor based on information received from a plurality of user devices, wherein each of the plurality of learning vectors connects two of the plurality of learning objects and identifies a prerequisite relationship between the connected two of the plurality of learning objects, wherein each of the plurality of learning vectors comprises a direction identifying the prerequisite relationship and a magnitude; and continuously updating the plurality of learning vectors based on signals received from one or several user devices identifying successes and failures in traversing the plurality of learning vectors; receiving at the processor an input from a student device via the network; automatically identifying a student user of the student device based on the received input and information retrieved from a student database; automatically retrieving information relating to a plurality of learning object networks; automatically identifying with the processor one of the plurality of learning object networks relevant to the student user of the student device; automatically identifying with a processor an incident learning object, wherein the incident learning object comprises an initial position of a student within the learning object network, wherein the incident learning object is identified by one of: a user input identifying the incident learning object, wherein the user comprises one of a teacher and the student user of the student device; and a student context, wherein the student context comprises the: student's learning history; and metadata identifying a student learning capability; automatically identifying with the processor a target learning object, wherein the target learning object is a learning object separated from the incident learning object by a plurality of learning vectors; automatically identifying with the processor a first path from the incident learning object to the target learning object, wherein the first path comprises a plurality of learning objects and a plurality of learning vectors connecting the incident learning object to the target learning object; automatically calculating with the processor the magnitude of the first path from the incident learning object to the target learning object, wherein calculating the magnitude of the first path from the incident learning object to the target learning object comprises: automatically varying the magnitudes of the plurality of learning vectors in the first and second path based on the student context; retrieving the magnitudes of the plurality of learning vectors in the first path; and calculating a combined magnitude of the first path; wherein retrieving the magnitudes of the plurality of learning vectors in the first path comprises: identifying a characteristic of the student, wherein the student characteristic is identified via a user input or via the student context; retrieving a learning vector context, wherein the learning vector context identifies magnitude data corresponding to aspects of the student context; and identifying magnitude data corresponding to the identified characteristic of the student; automatically identifying with the processor a second path from the incident learning object to the target learning object, wherein the second path comprises a plurality of learning objects and learning vectors connecting the incident learning object to the target learning object, wherein the second path comprises at least one learning object that is not in the first path automatically calculating with the processor the magnitude of the second path from the incident learning object to the target learning object; automatically comparing with the processor the magnitude of the first path to the magnitude of the second path; automatically providing one of the plurality of learning objects from the one of the first and second paths having the lesser magnitude to the student device, wherein the student device is remove from the processor; receiving an indicator of completion of the provided learning object; and automatically generating and sending a communication to the student device, wherein the communication comprises an enhancement object automatically triggered for providing to the student via a threshold, wherein the enhancement object is outside of the one of the first and second learning paths containing the provided learning object, and wherein the communication activates a user interface of the student device to provide the enhancement object to the user via a screen of the student device.
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1. A method of recommending a path comprising learning objects and learning vectors, the method comprising: automatically generating a learning object network, wherein generating the learning object network comprises: automatically receiving a plurality content objects from a plurality of data sources via a network at a processor, wherein each of the learning objects comprises an aggregation of learning content that is associated with an assessment; automatically generating a plurality of learning vectors connecting the plurality of content objects with the processor based on information received from a plurality of user devices, wherein each of the plurality of learning vectors connects two of the plurality of learning objects and identifies a prerequisite relationship between the connected two of the plurality of learning objects, wherein each of the plurality of learning vectors comprises a direction identifying the prerequisite relationship and a magnitude; and continuously updating the plurality of learning vectors based on signals received from one or several user devices identifying successes and failures in traversing the plurality of learning vectors; receiving at the processor an input from a student device via the network; automatically identifying a student user of the student device based on the received input and information retrieved from a student database; automatically retrieving information relating to a plurality of learning object networks; automatically identifying with the processor one of the plurality of learning object networks relevant to the student user of the student device; automatically identifying with a processor an incident learning object, wherein the incident learning object comprises an initial position of a student within the learning object network, wherein the incident learning object is identified by one of: a user input identifying the incident learning object, wherein the user comprises one of a teacher and the student user of the student device; and a student context, wherein the student context comprises the: student's learning history; and metadata identifying a student learning capability; automatically identifying with the processor a target learning object, wherein the target learning object is a learning object separated from the incident learning object by a plurality of learning vectors; automatically identifying with the processor a first path from the incident learning object to the target learning object, wherein the first path comprises a plurality of learning objects and a plurality of learning vectors connecting the incident learning object to the target learning object; automatically calculating with the processor the magnitude of the first path from the incident learning object to the target learning object, wherein calculating the magnitude of the first path from the incident learning object to the target learning object comprises: automatically varying the magnitudes of the plurality of learning vectors in the first and second path based on the student context; retrieving the magnitudes of the plurality of learning vectors in the first path; and calculating a combined magnitude of the first path; wherein retrieving the magnitudes of the plurality of learning vectors in the first path comprises: identifying a characteristic of the student, wherein the student characteristic is identified via a user input or via the student context; retrieving a learning vector context, wherein the learning vector context identifies magnitude data corresponding to aspects of the student context; and identifying magnitude data corresponding to the identified characteristic of the student; automatically identifying with the processor a second path from the incident learning object to the target learning object, wherein the second path comprises a plurality of learning objects and learning vectors connecting the incident learning object to the target learning object, wherein the second path comprises at least one learning object that is not in the first path automatically calculating with the processor the magnitude of the second path from the incident learning object to the target learning object; automatically comparing with the processor the magnitude of the first path to the magnitude of the second path; automatically providing one of the plurality of learning objects from the one of the first and second paths having the lesser magnitude to the student device, wherein the student device is remove from the processor; receiving an indicator of completion of the provided learning object; and automatically generating and sending a communication to the student device, wherein the communication comprises an enhancement object automatically triggered for providing to the student via a threshold, wherein the enhancement object is outside of the one of the first and second learning paths containing the provided learning object, and wherein the communication activates a user interface of the student device to provide the enhancement object to the user via a screen of the student device. 4. The method of claim 1 , wherein calculating the magnitude of the second path from the incident learning object to the target learning object comprises: retrieving the magnitudes of the plurality of learning vectors in the second path; and calculating a combined magnitude of the second path.
| 0.559429 |
1. A computer-implemented method for assembling a tax-information data structure, comprising: receiving a plurality of income-tax documents, wherein the documents comprise tax-forms, instructions, and publications issued by an income-tax authority to be used for subsequent income-tax preparation by users; extracting, by a computer, information about taxes from the received income-tax documents, wherein the information about taxes comprises tax phrases; extracting context information related to the extracted tax information, wherein the context information comprises location information associated with the extracted tax information, and wherein the location information comprises at least one of a title or version of an income-tax document, a page number in an income-tax document, and a page index associated with an income-tax document; identifying a first set of tax phrases in the extracted tax information, wherein the identifying involves using semantic and structural heuristics; identifying a second set of tax phrases in the extracted tax information using a statistical identification technique; constructing, by the computer, the tax-information data structure, wherein the constructing involves building an association between the first and second sets of tax phrases with the extracted context information; storing, in a memory of the computer, the constructed tax-information data structure; receiving, at the computer, a tax-related query from a user, wherein the user is executing an income tax-preparation software; processing the received query using the stored tax-information data structure to generate an answer; and displaying the generated answer to the user.
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1. A computer-implemented method for assembling a tax-information data structure, comprising: receiving a plurality of income-tax documents, wherein the documents comprise tax-forms, instructions, and publications issued by an income-tax authority to be used for subsequent income-tax preparation by users; extracting, by a computer, information about taxes from the received income-tax documents, wherein the information about taxes comprises tax phrases; extracting context information related to the extracted tax information, wherein the context information comprises location information associated with the extracted tax information, and wherein the location information comprises at least one of a title or version of an income-tax document, a page number in an income-tax document, and a page index associated with an income-tax document; identifying a first set of tax phrases in the extracted tax information, wherein the identifying involves using semantic and structural heuristics; identifying a second set of tax phrases in the extracted tax information using a statistical identification technique; constructing, by the computer, the tax-information data structure, wherein the constructing involves building an association between the first and second sets of tax phrases with the extracted context information; storing, in a memory of the computer, the constructed tax-information data structure; receiving, at the computer, a tax-related query from a user, wherein the user is executing an income tax-preparation software; processing the received query using the stored tax-information data structure to generate an answer; and displaying the generated answer to the user. 3. The method of claim 1 , wherein some of the income-tax documents include the same tax information in different document formats; wherein the extracted context information is determined by comparing the same tax information in the different document formats.
| 0.618913 |
1. A method comprising: establishing a pool of potential matches for a user in a computer-implemented matching system, wherein each of the potential matches meet at least one criteria of the user; determining a messaging score for each of the potential matches of the pool, the messaging score indicating a messaging aptitude of the potential match; and ranking the potential matches, wherein each of the potential matches is ranked based on a similarity of the messaging score of the potential match to a messaging score of the user; wherein the messaging score for each of the potential matches comprises a combination of at least one of a number of three way interactions initiated by the potential match as compared to an average number of three way interactions initiated by other users having a similar age and same gender as the potential match, a number of messages sent by the potential match as compared to an average number of messages sent by other users having a similar age and same gender as the potential match, and a number of messages received by the potential match as compared to an average number of messages received by other users having a similar age and same gender as the potential match.
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1. A method comprising: establishing a pool of potential matches for a user in a computer-implemented matching system, wherein each of the potential matches meet at least one criteria of the user; determining a messaging score for each of the potential matches of the pool, the messaging score indicating a messaging aptitude of the potential match; and ranking the potential matches, wherein each of the potential matches is ranked based on a similarity of the messaging score of the potential match to a messaging score of the user; wherein the messaging score for each of the potential matches comprises a combination of at least one of a number of three way interactions initiated by the potential match as compared to an average number of three way interactions initiated by other users having a similar age and same gender as the potential match, a number of messages sent by the potential match as compared to an average number of messages sent by other users having a similar age and same gender as the potential match, and a number of messages received by the potential match as compared to an average number of messages received by other users having a similar age and same gender as the potential match. 4. The method of claim 1 further comprising determining a match factor for each of the potential matches, wherein each of the potential matches is ranked based on a weighted combination of the match factor thereof and the similarity of the messaging score of the potential match to the messaging score of the user.
| 0.752358 |
1. A method comprising: receiving, at a processing system, at least one vibration response parameter associated with an airfoil, wherein the at least one vibration response parameter comprises at least one of an airfoil excitation frequency, an airfoil vibration amplitude, and an airfoil structural damping; using the processing system for: computing a modal stress intensity factor (SIF) of at least one cracked airfoil finite element model using fracture mechanics based finite element analysis; and computing a vibratory SIF based, at least in part, on the modal SIF and a scaling factor comprising a variable number based on the at least one vibration response parameter; and computing a residual life indicator of the airfoil based, at least in part, on the vibratory SIF.
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1. A method comprising: receiving, at a processing system, at least one vibration response parameter associated with an airfoil, wherein the at least one vibration response parameter comprises at least one of an airfoil excitation frequency, an airfoil vibration amplitude, and an airfoil structural damping; using the processing system for: computing a modal stress intensity factor (SIF) of at least one cracked airfoil finite element model using fracture mechanics based finite element analysis; and computing a vibratory SIF based, at least in part, on the modal SIF and a scaling factor comprising a variable number based on the at least one vibration response parameter; and computing a residual life indicator of the airfoil based, at least in part, on the vibratory SIF. 6. The method of claim 1 , wherein the residual life indicator includes at least one of a crack growth rate, a cycle count assessment, and a crack size versus cycle count assessment.
| 0.839474 |
1. A computer-implemented method comprising: obtaining, by a first computing device that is configured to respond to voice commands while in a locked state upon receipt of a particular, predefined hotword, a value for a setting that indicates that the first computing device is permitted to provide speaker verification data to other computing devices; receiving, by the first computing device, audio data that corresponds to an utterance of a voice command that is preceded by the particular, predefined hotword, the audio data being received while the first computing device is in a locked state and is co-located with a second computing device that is also configured to respond to voice commands that are preceded by the particular, predefined hotword; while the first computing device is in the locked state, and based on the obtained value for the setting that indicates that the first computing device is permitted to share speaker verification data with other computing devices, transmitting, by the first computing device, a message to the second computing device that (i) is co-located with the first computing device and (ii) is configured to respond to voice commands that are preceded by the particular, predefined hotword; and determining, by the first computing device, to remain in the locked state and not respond to the voice command despite receiving the audio data that corresponds to the utterance of the voice command that is preceded by the particular, predefined hotword.
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1. A computer-implemented method comprising: obtaining, by a first computing device that is configured to respond to voice commands while in a locked state upon receipt of a particular, predefined hotword, a value for a setting that indicates that the first computing device is permitted to provide speaker verification data to other computing devices; receiving, by the first computing device, audio data that corresponds to an utterance of a voice command that is preceded by the particular, predefined hotword, the audio data being received while the first computing device is in a locked state and is co-located with a second computing device that is also configured to respond to voice commands that are preceded by the particular, predefined hotword; while the first computing device is in the locked state, and based on the obtained value for the setting that indicates that the first computing device is permitted to share speaker verification data with other computing devices, transmitting, by the first computing device, a message to the second computing device that (i) is co-located with the first computing device and (ii) is configured to respond to voice commands that are preceded by the particular, predefined hotword; and determining, by the first computing device, to remain in the locked state and not respond to the voice command despite receiving the audio data that corresponds to the utterance of the voice command that is preceded by the particular, predefined hotword. 11. The method of claim 1 , comprising: determining, by the first computing device, one or more speaker models that are each stored on the first computing device and for a person other than a user of the first computing device, wherein determining to remain in the locked state and not respond to the voice command comprises determining, by the first computing device, to remain in the locked state and not respond to the voice command despite receiving the audio data that corresponds to the utterance of the voice command that is preceded by the particular, predefined hotword using the one or more speaker models that are each stored on the first computing device and for a person other than the user of the first computing device.
| 0.560451 |
1. A system comprising: a token generator associated with a third party to issue a client set of tokens to a client; a token verification list generator associated with the third party to issue a verification set of tokens to a provider; a communication module to receive a request from the provider to redeem a provider set of tokens; a redemption module to: compare the provider set of tokens with the client set of tokens, and selectively redeem the provider set of tokens, based on the results of the comparison.
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1. A system comprising: a token generator associated with a third party to issue a client set of tokens to a client; a token verification list generator associated with the third party to issue a verification set of tokens to a provider; a communication module to receive a request from the provider to redeem a provider set of tokens; a redemption module to: compare the provider set of tokens with the client set of tokens, and selectively redeem the provider set of tokens, based on the results of the comparison. 7. The system of claim 1 , wherein the redemption module is to process the request based on an acceptance policy.
| 0.620968 |
12. The storage medium storing the program according to claim 9 , wherein editing the displayed sentence image includes: superposing text data corresponding to the detected coordinate points onto the image data of the sentence image; and converting the superposed text data into image data and combining the image data with the image data of the sentence data with timing of starting execution of transmitting the edited sentence image, and wherein the image data of the combined sentence image is transmitted to the other apparatus.
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12. The storage medium storing the program according to claim 9 , wherein editing the displayed sentence image includes: superposing text data corresponding to the detected coordinate points onto the image data of the sentence image; and converting the superposed text data into image data and combining the image data with the image data of the sentence data with timing of starting execution of transmitting the edited sentence image, and wherein the image data of the combined sentence image is transmitted to the other apparatus. 14. The storage medium storing the program according to claim 12 , wherein the program causes the computer to perform further operations comprising: selecting a character in accordance with the detected coordinate points; and moving the selected character in accordance with the detected coordinate points onto the sentence image displayed, and wherein when editing the displayed sentence image, text data corresponding to the character moved onto the character image is superposed on the image data of the sentence image.
| 0.813048 |
1. A computer system comprising: one or more computer processors; and a tangible storage device storing instructions configured for execution by the one or more computer processors in order to cause the computer system to: receive, from a user of the computer system, a selection of a first object type, wherein a first object corresponds to the first object type; receive, from the user of the computer system, a selection of one or more of a plurality of second object types that the first object type is required to be associated with, wherein a second object corresponds to one or more of the plurality of second object types, and wherein the first object is associated with the second object; identify respective objects of the first object type that are each associated with one or more of the plurality of second object types, the identified objects comprising the first object, wherein each of the identified objects have one or more properties; receive, from the user of the computer system, a selection of one or more data quality criterion to be identified in the identified objects; determine potential data quality problems of the identified objects by matching the one or more data quality criterion with the respective one or more properties of the identified objects; generate a user interface indicating the potential data quality problems of the identified objects; and display, for user selection in the user interface, a potential resolution for the potential data quality problem.
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1. A computer system comprising: one or more computer processors; and a tangible storage device storing instructions configured for execution by the one or more computer processors in order to cause the computer system to: receive, from a user of the computer system, a selection of a first object type, wherein a first object corresponds to the first object type; receive, from the user of the computer system, a selection of one or more of a plurality of second object types that the first object type is required to be associated with, wherein a second object corresponds to one or more of the plurality of second object types, and wherein the first object is associated with the second object; identify respective objects of the first object type that are each associated with one or more of the plurality of second object types, the identified objects comprising the first object, wherein each of the identified objects have one or more properties; receive, from the user of the computer system, a selection of one or more data quality criterion to be identified in the identified objects; determine potential data quality problems of the identified objects by matching the one or more data quality criterion with the respective one or more properties of the identified objects; generate a user interface indicating the potential data quality problems of the identified objects; and display, for user selection in the user interface, a potential resolution for the potential data quality problem. 5. The computer system of claim 1 , wherein one or more of the plurality of second object types comprise object types with one or more properties and/or property values used for identifying fraudulent transactions and/or object types used for crime investigations.
| 0.524691 |
312. The system of claim 311 , wherein the marked-up representation includes at least one occurrence of the required skill or experience-related phrase or at least one implying phrase of the required skill or experience-related phrase for said at least one job requirement, and wherein to display the selected resume, the processor is further configured to: mark each said at least one occurrence of the required skill or experience-related phrase for each said at least one job requirement.
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312. The system of claim 311 , wherein the marked-up representation includes at least one occurrence of the required skill or experience-related phrase or at least one implying phrase of the required skill or experience-related phrase for said at least one job requirement, and wherein to display the selected resume, the processor is further configured to: mark each said at least one occurrence of the required skill or experience-related phrase for each said at least one job requirement. 313. The system of claim 312 , wherein the marking includes highlighting each said at least one occurrence of the required skill or experience-related phrase or said at least one implying phrase of the required skill or experience-related phrase for said at least one job requirement, or displaying in reverse video each said at least one occurrence of the required skill or experience-related phrase or said at least one implying phrase of the required skill or experience-related phrase for said at least one job requirement.
| 0.828976 |
14. The system of claim 13 further comprising an output device, wherein the processor is configured to: display a graphical user interface (GUI) on the output device to facilitate review of the electronic documents in the filtered subset, the GUI comprising: a first region displaying the hierarchical collection of folders; a second region displaying a list of electronic documents grouped in a selected folder from the hierarchical collection of folders; a third region displaying a first electronic document selected from the list of electronic documents.
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14. The system of claim 13 further comprising an output device, wherein the processor is configured to: display a graphical user interface (GUI) on the output device to facilitate review of the electronic documents in the filtered subset, the GUI comprising: a first region displaying the hierarchical collection of folders; a second region displaying a list of electronic documents grouped in a selected folder from the hierarchical collection of folders; a third region displaying a first electronic document selected from the list of electronic documents. 15. The system of claim 14 wherein the processor is configured to: identify at least one set of near duplicate documents from the filtered subset, where the similarity metric between any two electronic documents in the set of near duplicate documents satisfies a threshold.
| 0.875699 |
2. The method of claim 1 , wherein the demotion scores are further based on respective positions of the identified query completions within the displayed first list of query completions.
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2. The method of claim 1 , wherein the demotion scores are further based on respective positions of the identified query completions within the displayed first list of query completions. 3. The method of claim 2 , wherein: the first list of query completions are provided for display within a menu beneath the search field; and the demotion score for the particular identified query completion is based on whether the particular identified query completion was provided for display at or above a threshold position within the menu.
| 0.930303 |
1. An Integrated Development Environment (IDE), executing computer instructions in a computer-readable storage medium of a computer system, suitable for use in developing a Virtual User Interface (VUI) application, the IDE running on the computer system and comprising: a development window for graphically constructing a visual layout of a User Inteface (UI) to correspond to a virtual layout of a Virtual User Interface (VUI) generated by an ultrasonic sensing unit externally coupled to the computer system and with its own targeted processor and memory for receiving executable program code compiled from the IDE specific to instructions of the targeted processor; and at least one descriptor that identifies a response of a user interface component in the UI to touchless sensory events applied to a corresponding virtual component in the VUI generated by the ultrasonic sensing unit, a compiler for compiling a source code of the VUI application into at least one code object using imported target processor and memory configurations from the ultrasonic sensing unit; a linker for converting said code object into relocatable code based on the targeted processor and memory of the ultrasonic sensing unit; a code builder for building said relocatable code into an executable code object; and a flashing module for managing a down loading of the executable program code object over a connection into a flash memory of the externally coupled ultrasonic sensing unit associated with the target processor and memory, where the computer system is communicatively coupled to the ultrasonic sensing unit by a wired or wireless connection for developing the VUI on the computer and down loading the executable code object into the ultrasonic sensing unit.
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1. An Integrated Development Environment (IDE), executing computer instructions in a computer-readable storage medium of a computer system, suitable for use in developing a Virtual User Interface (VUI) application, the IDE running on the computer system and comprising: a development window for graphically constructing a visual layout of a User Inteface (UI) to correspond to a virtual layout of a Virtual User Interface (VUI) generated by an ultrasonic sensing unit externally coupled to the computer system and with its own targeted processor and memory for receiving executable program code compiled from the IDE specific to instructions of the targeted processor; and at least one descriptor that identifies a response of a user interface component in the UI to touchless sensory events applied to a corresponding virtual component in the VUI generated by the ultrasonic sensing unit, a compiler for compiling a source code of the VUI application into at least one code object using imported target processor and memory configurations from the ultrasonic sensing unit; a linker for converting said code object into relocatable code based on the targeted processor and memory of the ultrasonic sensing unit; a code builder for building said relocatable code into an executable code object; and a flashing module for managing a down loading of the executable program code object over a connection into a flash memory of the externally coupled ultrasonic sensing unit associated with the target processor and memory, where the computer system is communicatively coupled to the ultrasonic sensing unit by a wired or wireless connection for developing the VUI on the computer and down loading the executable code object into the ultrasonic sensing unit. 7. The IDE of claim 1 , wherein a touchless sensory event on a virtual component produces one of audio or visual feedback on a corresponding UI component in the display window.
| 0.581158 |
27. The method of claim 1 , further comprising determining a weight for a advertising label for a first node by starting a random walk algorithm beginning at the first node.
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27. The method of claim 1 , further comprising determining a weight for a advertising label for a first node by starting a random walk algorithm beginning at the first node. 28. The method of claim 27 , wherein the random walk algorithm comprises recursively selecting neighboring nodes related to a previously selected node until a node is selected that is used as an advertising label.
| 0.874697 |
3. A computer-implemented method for facilitating a transaction, comprising: receiving input initiating the transaction; generating one or more queries from the input, each of the queries including one or more variables representing unknown information required for the transaction to proceed, the one or more variables of the one or more queries including a first variable, a second variable, and a third variable; for each variable in each query, determining whether the unknown information represented by the variable can be obtained from a first information source, the first information source comprising a knowledge base including structured data having a format compatible with the one or more queries; for each variable for which the unknown information cannot be obtained from the first information source, determining whether the unknown information represented by the variable can be obtained from one or more of a plurality of alternate information sources, the alternate information sources including a user by whom the input was entered, and a remote information source that is remote from and independent of the knowledge base; transmitting a first request for information to the remote information source; receiving a response to the first request; transmitting a second request for information to the device associated with the user; receiving a response to the second request from the device, the response to the second request including input from the user; determining the unknown information represented by each variable, including determining the unknown information represented by the first variable using the response to the first request, determining the unknown information represented by the second variable using the response to the second request, and determining the unknown information represented by the third variable using the knowledge base; and proceeding with the transaction.
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3. A computer-implemented method for facilitating a transaction, comprising: receiving input initiating the transaction; generating one or more queries from the input, each of the queries including one or more variables representing unknown information required for the transaction to proceed, the one or more variables of the one or more queries including a first variable, a second variable, and a third variable; for each variable in each query, determining whether the unknown information represented by the variable can be obtained from a first information source, the first information source comprising a knowledge base including structured data having a format compatible with the one or more queries; for each variable for which the unknown information cannot be obtained from the first information source, determining whether the unknown information represented by the variable can be obtained from one or more of a plurality of alternate information sources, the alternate information sources including a user by whom the input was entered, and a remote information source that is remote from and independent of the knowledge base; transmitting a first request for information to the remote information source; receiving a response to the first request; transmitting a second request for information to the device associated with the user; receiving a response to the second request from the device, the response to the second request including input from the user; determining the unknown information represented by each variable, including determining the unknown information represented by the first variable using the response to the first request, determining the unknown information represented by the second variable using the response to the second request, and determining the unknown information represented by the third variable using the knowledge base; and proceeding with the transaction. 7. The method of claim 3 , wherein determining the unknown information represented by the second variable includes determining whether the unknown information represented by the second variable can be retrieved from the remote information source.
| 0.59326 |
3. A system comprising: at least one processor; and at least one memory coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations comprising: generating multiple, different mobile authoring templates that each includes pre-defined interface controls that are configured to enable a user to make updates to a subset of a web page using a mobile device, the multiple, different mobile authoring templates being generated for multiple, different types of content management systems and enable updates to multiple, different web pages; associating a unique identifier with each of the multiple, different mobile authoring templates; providing some of the multiple, different mobile authoring templates to a mobile device application operating on a mobile device of a user; storing, for each of the multiple, different mobile authoring templates, configuration data in association with the respective unique identifier, the configuration data defining operations needed to publish content updates received through the mobile authoring template to the web page; receiving, from the mobile device application, input defining a content update made using one of the multiple, different mobile authoring templates selected by the user in accordance with which of the subsets of the multiple, different web pages the user desires to update, the input including the respective unique identifier associated with the one of the multiple, different mobile authoring templates; in response to receiving the input defining the content update, accessing the configuration data for the respective unique identifier associated with the one of the multiple, different mobile authoring templates selected by the user; based on the configuration data for the respective unique identifier, invoking content management services needed to publish the received content update to the subset of the web page the user desires to update; and publishing content to the web page for the subset of the webpage the user desires to update to reflect the received content update made on the mobile device using the one of the multiple, different mobile authoring templates.
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3. A system comprising: at least one processor; and at least one memory coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations comprising: generating multiple, different mobile authoring templates that each includes pre-defined interface controls that are configured to enable a user to make updates to a subset of a web page using a mobile device, the multiple, different mobile authoring templates being generated for multiple, different types of content management systems and enable updates to multiple, different web pages; associating a unique identifier with each of the multiple, different mobile authoring templates; providing some of the multiple, different mobile authoring templates to a mobile device application operating on a mobile device of a user; storing, for each of the multiple, different mobile authoring templates, configuration data in association with the respective unique identifier, the configuration data defining operations needed to publish content updates received through the mobile authoring template to the web page; receiving, from the mobile device application, input defining a content update made using one of the multiple, different mobile authoring templates selected by the user in accordance with which of the subsets of the multiple, different web pages the user desires to update, the input including the respective unique identifier associated with the one of the multiple, different mobile authoring templates; in response to receiving the input defining the content update, accessing the configuration data for the respective unique identifier associated with the one of the multiple, different mobile authoring templates selected by the user; based on the configuration data for the respective unique identifier, invoking content management services needed to publish the received content update to the subset of the web page the user desires to update; and publishing content to the web page for the subset of the webpage the user desires to update to reflect the received content update made on the mobile device using the one of the multiple, different mobile authoring templates. 11. The system of claim 3 , wherein invoking content management services needed to publish the received content update to the subset of the web page the user desires to update comprises converting the content update into a proper format and structure for integration into the subset of the web page the user desires to update.
| 0.669969 |
5. A method for maintaining security in intranet and internet communication comprising: providing a plurality of databases requiring differing user security levels to access their contents on the intranet; an intranet security data base listing clearance levels for intranet users with a user ID and an active codeword along with a listing of approved LAN users with their port locations by their MAC and IP addresses; a LAN within the intranet having a security system responsive to a user ID and a codeword in the intranet security database to assign a port location of the LAN to the users; using the security system to continuously provide periodic comparisons of MAC and IP addresses of active users currently accessing the LAN against the assigned port locations of the active users to detect any active user switching ports from the active user's assigned port location to a port location with a less restrictive clearance level; responding to the periodic comparisons of the LAN security system by disabling one or more ports when a comparison does not show identity of data of the any active users presently used and assigned port locations; having the LAN security system assign security ratings to port sites; checking the user ID and password of a prospective user of a particular port site to determine whether the user is an approved LAN user; checking the security level of the prospective user against the assigned security rating of the particular port site; assigning use of the particular port site to the prospective user in the case that the prospective user is an approved LAN user and has the appropriate security level at least matching the security level of the particular port site; directing the prospective user to use a proper port site with a lower security rating in the case that the prospective user is an approved LAN user but does not have the appropriate security level to access the particular port site; recording IP and MAC of the particular port assigned to the prospective user; using the recorded data to periodically compare an on-line port location of the prospective user against the user's assigned particular port site at a rate that assures the check proceeds the prospective users request for data; shutting down the prospective user's assigned port and used port location to prevent the transfer of data when the on-line port location is not the assigned port location of the prospective user; and providing access when the on-line port location of the prospective user is the same as the location assigned the prospective user.
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5. A method for maintaining security in intranet and internet communication comprising: providing a plurality of databases requiring differing user security levels to access their contents on the intranet; an intranet security data base listing clearance levels for intranet users with a user ID and an active codeword along with a listing of approved LAN users with their port locations by their MAC and IP addresses; a LAN within the intranet having a security system responsive to a user ID and a codeword in the intranet security database to assign a port location of the LAN to the users; using the security system to continuously provide periodic comparisons of MAC and IP addresses of active users currently accessing the LAN against the assigned port locations of the active users to detect any active user switching ports from the active user's assigned port location to a port location with a less restrictive clearance level; responding to the periodic comparisons of the LAN security system by disabling one or more ports when a comparison does not show identity of data of the any active users presently used and assigned port locations; having the LAN security system assign security ratings to port sites; checking the user ID and password of a prospective user of a particular port site to determine whether the user is an approved LAN user; checking the security level of the prospective user against the assigned security rating of the particular port site; assigning use of the particular port site to the prospective user in the case that the prospective user is an approved LAN user and has the appropriate security level at least matching the security level of the particular port site; directing the prospective user to use a proper port site with a lower security rating in the case that the prospective user is an approved LAN user but does not have the appropriate security level to access the particular port site; recording IP and MAC of the particular port assigned to the prospective user; using the recorded data to periodically compare an on-line port location of the prospective user against the user's assigned particular port site at a rate that assures the check proceeds the prospective users request for data; shutting down the prospective user's assigned port and used port location to prevent the transfer of data when the on-line port location is not the assigned port location of the prospective user; and providing access when the on-line port location of the prospective user is the same as the location assigned the prospective user. 7. The method of claim 5 , wherein the LAN security system assigns a security rating to a port site based on a security rating of a user assigned that port site.
| 0.544036 |
1. An apparatus for identifying candidate duplicate documents of a document contained in a document corpus, the apparatus comprising: a processor; and a non-transitory computer-readable storage medium having instructions stored thereupon which are executable by the processor and which, when executed, cause the apparatus to create a bitset optimized inverted index comprising bitsets associated with tokens contained in documents in the document corpus, wherein each bitset comprises a number of binary digits equivalent to the number of documents in the document corpus, and wherein each binary digit in each bitset corresponds to a different document in the document corpus, receive a request to identify the candidate duplicate documents of the document contained in the document corpus, tokenize the document to identify tokens in the document, search the tokens contained in the documents in the document corpus to identify tokens that are in the document and also in at least one document in the document corpus, and utilize the bitsets associated with the identified tokens to select documents in the document corpus as the candidate duplicate documents of the document.
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1. An apparatus for identifying candidate duplicate documents of a document contained in a document corpus, the apparatus comprising: a processor; and a non-transitory computer-readable storage medium having instructions stored thereupon which are executable by the processor and which, when executed, cause the apparatus to create a bitset optimized inverted index comprising bitsets associated with tokens contained in documents in the document corpus, wherein each bitset comprises a number of binary digits equivalent to the number of documents in the document corpus, and wherein each binary digit in each bitset corresponds to a different document in the document corpus, receive a request to identify the candidate duplicate documents of the document contained in the document corpus, tokenize the document to identify tokens in the document, search the tokens contained in the documents in the document corpus to identify tokens that are in the document and also in at least one document in the document corpus, and utilize the bitsets associated with the identified tokens to select documents in the document corpus as the candidate duplicate documents of the document. 2. The apparatus of claim 1 , wherein the tokens contained in the documents in the document corpus are identified through adaptive tokenization of the documents in the document corpus.
| 0.582751 |
9. The apparatus of claim 8 , wherein the managing comprises: if it is determined that the loaded multimodal web page is one of the plurality of multimodal web pages of the particular multimodal application, loading at least one global grammar in the loaded multimodal web page.
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9. The apparatus of claim 8 , wherein the managing comprises: if it is determined that the loaded multimodal web page is one of the plurality of multimodal web pages of the particular multimodal application, loading at least one global grammar in the loaded multimodal web page. 13. The apparatus of claim 9 , wherein the method further comprises identifying the at least one global grammar based at least in part on markup in the loaded multimodal web page.
| 0.85487 |
1. A computer program product for automatically generating a narrative story using data and information, the computer program product comprising: a plurality of angle data structures that are readable by a processor and resident on a non-transitory computer-readable storage medium, each of the plurality of angle data structures comprising a plurality of data representations that connect a plurality of events, circumstances, and/or entities as a model of a thematic nature and not comprising specific text for a narrative story, each angle data structure being associated with at least one of a plurality of applicability conditions; and a plurality of instructions that are resident on a non-transitory computer-readable storage medium and executable by a processor to (1) receive domain related data and information, (2) test at least a portion of the received domain related data and information against a plurality of the applicability conditions to determine whether any of the applicability conditions are deemed applicable to the received domain related data and information, (3) identify one or more angle data structures for the narrative story based at least in part on which one or more angle data structures are associated with the applicability conditions deemed applicable to the received domain related data and information, and (4) render the narrative story using the identified one or more angle data structures.
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1. A computer program product for automatically generating a narrative story using data and information, the computer program product comprising: a plurality of angle data structures that are readable by a processor and resident on a non-transitory computer-readable storage medium, each of the plurality of angle data structures comprising a plurality of data representations that connect a plurality of events, circumstances, and/or entities as a model of a thematic nature and not comprising specific text for a narrative story, each angle data structure being associated with at least one of a plurality of applicability conditions; and a plurality of instructions that are resident on a non-transitory computer-readable storage medium and executable by a processor to (1) receive domain related data and information, (2) test at least a portion of the received domain related data and information against a plurality of the applicability conditions to determine whether any of the applicability conditions are deemed applicable to the received domain related data and information, (3) identify one or more angle data structures for the narrative story based at least in part on which one or more angle data structures are associated with the applicability conditions deemed applicable to the received domain related data and information, and (4) render the narrative story using the identified one or more angle data structures. 15. The computer program product as recited in claim 1 , wherein the received domain related data and information comprises a plurality of data elements, wherein the instructions are further configured to (1) identify the data elements that cause an applicability condition for the one or more identified angle data structures to hold, and (2) directly attach the identified data elements to the one or more identified angle data structures for use as points in the narrative story.
| 0.509455 |
4. The method of claim 1 , further comprising: receiving an indication of a selection to view the source video content and the associated first annotation; and providing the first annotation and associated metadata for display or play of the first annotation, wherein the first annotation is synchronized with the source video content.
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4. The method of claim 1 , further comprising: receiving an indication of a selection to view the source video content and the associated first annotation; and providing the first annotation and associated metadata for display or play of the first annotation, wherein the first annotation is synchronized with the source video content. 6. The method of claim 4 , wherein receiving an indication of a selection to view the source video content and the first annotation comprises receiving an indication of a selection to view the source video content and the first annotation on a same device or on separate devices.
| 0.915769 |
1. A method for improving speech recognition, comprising the steps of: collecting text data generated from a speech recognition system; collecting a corresponding true transcription of the speech recognition text data; aligning the text data generated from the speech recognition system with the corresponding true transcription of text data, wherein the aligning is text-based; generating a plurality of correction rules from differences in alignment between the text data generated from the speech recognition system and the corresponding true transcription of text data; and applying the plurality of correction rules to new text data generated from a speech recognition system.
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1. A method for improving speech recognition, comprising the steps of: collecting text data generated from a speech recognition system; collecting a corresponding true transcription of the speech recognition text data; aligning the text data generated from the speech recognition system with the corresponding true transcription of text data, wherein the aligning is text-based; generating a plurality of correction rules from differences in alignment between the text data generated from the speech recognition system and the corresponding true transcription of text data; and applying the plurality of correction rules to new text data generated from a speech recognition system. 2. The method according to claim 1, wherein the step of aligning comprises aligning the text data generated from the speech recognition system with the corresponding true transcription of text data on a word level.
| 0.5 |
1. A method for object localization in an image comprising: for an input image, generating a task-dependent representation of the input image based on relevance scores for an object to be localized, comprising: for each of a plurality of patches of the image, generating a patch-based representation based on low level features extracted from the patch; with a classifier, outputting a relevance score for each patch, based on the respective patch-based representation; and generating the task-dependent representation based on the patch relevance scores; thereafter, identifying at least one similar image from a set of images, based on the task-dependent representation of the input image and task-dependent representations of images in the set of images; and identifying a location of the object in the input image based on an object location annotation for at least one of the at least one similar images identified in the set of images, wherein at least one of the generating of the task-dependent representation, identifying of the at least one similar image, and the identifying a location of the object in the input image is performed with a computer processor.
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1. A method for object localization in an image comprising: for an input image, generating a task-dependent representation of the input image based on relevance scores for an object to be localized, comprising: for each of a plurality of patches of the image, generating a patch-based representation based on low level features extracted from the patch; with a classifier, outputting a relevance score for each patch, based on the respective patch-based representation; and generating the task-dependent representation based on the patch relevance scores; thereafter, identifying at least one similar image from a set of images, based on the task-dependent representation of the input image and task-dependent representations of images in the set of images; and identifying a location of the object in the input image based on an object location annotation for at least one of the at least one similar images identified in the set of images, wherein at least one of the generating of the task-dependent representation, identifying of the at least one similar image, and the identifying a location of the object in the input image is performed with a computer processor. 9. The method of claim 1 , wherein the identifying of the at least one similar image from the set of images comprises identifying a plurality of similar images and the identifying of the location of the object in the input image is based on object location annotations for the plurality of similar images.
| 0.651915 |
1. A computer-implemented method for training a user, comprising: by a sensor, sensing at least one action performed by the user and data corresponding to the at least one action to yield sensed data, wherein: the sensor comprises a USB sensor device and the sensing comprises detecting that a user of an electronic device has connected a USB device to the electronic device, the sensor comprises a Wi-Fi sensor device and the sensing comprises detecting that the user has connected the electronic device to a Wi-Fi access point, the sensor comprises a Bluetooth headset usage detection sensor and the sensing comprises identifying Bluetooth headset use, the sensor comprises a camera coupled with a computer vision program, or the sensor comprises a physical location tracking sensor and the sensing comprises detecting a location of the user; by a computer system comprising a processor, executing computer-readable programming instructions that cause the system to: access a data storage device that stores a training needs model that comprises an estimate of at least one of a cost and a benefit of exposing the user to at least one available training action, apply, to the training needs model, the sensed data to identify a cybersecurity threat scenario for which the user is at risk, access a collection of available training actions and select, based on the sensed data and the cybersecurity threat scenario, at least one training action from the collection of available training actions, and cause the selected at least one cybersecurity training action to be delivered to the user.
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1. A computer-implemented method for training a user, comprising: by a sensor, sensing at least one action performed by the user and data corresponding to the at least one action to yield sensed data, wherein: the sensor comprises a USB sensor device and the sensing comprises detecting that a user of an electronic device has connected a USB device to the electronic device, the sensor comprises a Wi-Fi sensor device and the sensing comprises detecting that the user has connected the electronic device to a Wi-Fi access point, the sensor comprises a Bluetooth headset usage detection sensor and the sensing comprises identifying Bluetooth headset use, the sensor comprises a camera coupled with a computer vision program, or the sensor comprises a physical location tracking sensor and the sensing comprises detecting a location of the user; by a computer system comprising a processor, executing computer-readable programming instructions that cause the system to: access a data storage device that stores a training needs model that comprises an estimate of at least one of a cost and a benefit of exposing the user to at least one available training action, apply, to the training needs model, the sensed data to identify a cybersecurity threat scenario for which the user is at risk, access a collection of available training actions and select, based on the sensed data and the cybersecurity threat scenario, at least one training action from the collection of available training actions, and cause the selected at least one cybersecurity training action to be delivered to the user. 46. The method of claim 1 , wherein the training needs model further estimates at least one of a cost and a benefit of exposing the user to at least one training action related to learning work-related skills.
| 0.632925 |
1. A method for generating a transcription of a videoconference, comprising: matching human speech of a videoconference to writable symbols, the human speech encoded in audio data of the videoconference; determining a probability that a portion of the human speech matches a profile of a participant of a plurality of participants of the videoconference, the profile stored in tangible computer-readable memory; if the probability is less than a predetermined threshold, using video data of the videoconference to determine which participant of the plurality of participants of the videoconference is the most likely source of the portion of the human speech; and generating a transcription of the videoconference that identifies an association of the portion of the human speech and the participant of the plurality of participants of the videoconference determined to be the most likely source of the portion of human speech.
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1. A method for generating a transcription of a videoconference, comprising: matching human speech of a videoconference to writable symbols, the human speech encoded in audio data of the videoconference; determining a probability that a portion of the human speech matches a profile of a participant of a plurality of participants of the videoconference, the profile stored in tangible computer-readable memory; if the probability is less than a predetermined threshold, using video data of the videoconference to determine which participant of the plurality of participants of the videoconference is the most likely source of the portion of the human speech; and generating a transcription of the videoconference that identifies an association of the portion of the human speech and the participant of the plurality of participants of the videoconference determined to be the most likely source of the portion of human speech. 15. The method of claim 1 , wherein the profile comprises a location of the participant.
| 0.800866 |
2. A method for providing informational services using a portable navigational apparatus configured to communicate with a server via a wireless communications network, the method comprising: inputting a proprietary search term to find one or more locations of an entity within a geographical area into the navigational apparatus; sending a search query comprising the proprietary search term via the wireless communications network to the server to allow the server to access a unified geographic database (“UGD”) to identify the entity within the geographical area uniquely associated with the proprietary search term, and to use locational information associated with the navigational apparatus to complete a search of the UGD for one or more locations associated with the one or more entities satisfying the search query and limited in geographic scope by the locational information; adding locational information associated with the navigational apparatus to the proprietary search term to limit geographic scope of the search query before sending the search query; receiving a search result from the server via the wireless communications network, the search result comprising one or more locations identified by the proprietary search term that have a relationship with the locational information; and outputting the one or more locations comprising the search result.
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2. A method for providing informational services using a portable navigational apparatus configured to communicate with a server via a wireless communications network, the method comprising: inputting a proprietary search term to find one or more locations of an entity within a geographical area into the navigational apparatus; sending a search query comprising the proprietary search term via the wireless communications network to the server to allow the server to access a unified geographic database (“UGD”) to identify the entity within the geographical area uniquely associated with the proprietary search term, and to use locational information associated with the navigational apparatus to complete a search of the UGD for one or more locations associated with the one or more entities satisfying the search query and limited in geographic scope by the locational information; adding locational information associated with the navigational apparatus to the proprietary search term to limit geographic scope of the search query before sending the search query; receiving a search result from the server via the wireless communications network, the search result comprising one or more locations identified by the proprietary search term that have a relationship with the locational information; and outputting the one or more locations comprising the search result. 15. The method of claim 2 , further comprising creating a plurality of proprietary search terms identifying locations of interest, and storing the created proprietary search terms in memory of the navigational apparatus for future search queries, the step of inputting a proprietary search term comprising at least one of the created proprietary search terms.
| 0.581606 |
26. A non-transitory computer-readable medium storing a set of instructions that when executed cause a computer to perform a method comprising: determining one or more mood metrics in each of two or more chat stages of a real-time textual conversation between an agent and a customer, wherein said determining the one or more mood metrics for a chat stage of the real-time textual conversation, by the processor, further comprises determining an overall mood for the chat stage based on a polarity based approach by: assigning polarity labels to features present in the chat stage; assigning polarity strength scores for the polarity labels assigned to the features present in the chat stage; calculating weighted polarity scores for the features based on aggregation of the polarity labels and the polarity strength scores to determine the overall mood for the chat stage; and determining the overall mood, by the processor, based on a subjectivity-based approach by removing terms classified as objective from the real-time textual conversation prior to assigning the polarity labels and the polarity strength scores; tracking changes in the one or more mood metrics across the two or more chat stages of the real-time textual conversation between the agent and the customer; and determining at least one action associated with the real-time textual conversation based on the changes in the one or more mood metrics; and performing, by the processor, the at least one action associated with the real-time textual conversation, wherein performing the at least one action comprises any of: displaying, by the processor, information associated with the at least one action to a supervisor monitoring the real-time textual conversation and providing, by the processor, the information associated with the at least one action to the agent engaged in the real-time textual conversation based on an input received from the supervisor so as to enable the agent to perform the at least one action thereby causing a target outcome of the real-time textual conversation; monitoring an agent engagement score associated with the two or more chat stages of the real-time textual conversation; storing the real-time textual conversation with a timestamp of the real-time textual conversation; and displaying one or more textual recommendations to the agent so as to enable the agent to use the one or more textual recommendations in the real-time textual conversation to thereby cause a target outcome of the real-time textual conversation.
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26. A non-transitory computer-readable medium storing a set of instructions that when executed cause a computer to perform a method comprising: determining one or more mood metrics in each of two or more chat stages of a real-time textual conversation between an agent and a customer, wherein said determining the one or more mood metrics for a chat stage of the real-time textual conversation, by the processor, further comprises determining an overall mood for the chat stage based on a polarity based approach by: assigning polarity labels to features present in the chat stage; assigning polarity strength scores for the polarity labels assigned to the features present in the chat stage; calculating weighted polarity scores for the features based on aggregation of the polarity labels and the polarity strength scores to determine the overall mood for the chat stage; and determining the overall mood, by the processor, based on a subjectivity-based approach by removing terms classified as objective from the real-time textual conversation prior to assigning the polarity labels and the polarity strength scores; tracking changes in the one or more mood metrics across the two or more chat stages of the real-time textual conversation between the agent and the customer; and determining at least one action associated with the real-time textual conversation based on the changes in the one or more mood metrics; and performing, by the processor, the at least one action associated with the real-time textual conversation, wherein performing the at least one action comprises any of: displaying, by the processor, information associated with the at least one action to a supervisor monitoring the real-time textual conversation and providing, by the processor, the information associated with the at least one action to the agent engaged in the real-time textual conversation based on an input received from the supervisor so as to enable the agent to perform the at least one action thereby causing a target outcome of the real-time textual conversation; monitoring an agent engagement score associated with the two or more chat stages of the real-time textual conversation; storing the real-time textual conversation with a timestamp of the real-time textual conversation; and displaying one or more textual recommendations to the agent so as to enable the agent to use the one or more textual recommendations in the real-time textual conversation to thereby cause a target outcome of the real-time textual conversation. 35. The computer-readable medium of claim 26 , wherein determination of the at least one action is performed further based on a statistical analysis of one or more completed textual conversations.
| 0.611431 |
15. A method for controlling a video conference between plurality of video terminals interconnected by a telecommunication switching system with each video terminal transmitting a video picture and one of the video terminals being a chair person video terminal that is controlling the video conference, the method comprising the steps of: determining a chair view picture by the chair person video terminal to be provided by the telecommunication switching system under control of first control information transmitted to the telecommunication switching system from the chair person video terminal wherein the chair view picture is then made available to all video terminals; delivering the chair view picture as determined by the chair person video terminal from the telecommunication switching system to all of the video terminals; requesting permission of the chair person video terminal to ask a question by a user of one of the other video terminals by transmission of second control information to the chair person video terminal; inserting the video picture from the requesting one of the video terminals into the chair view picture by the telecommunication switching system under control of third control information being transmitted to the telecommunication switching system from the chair person video terminal upon permission being granted by the chair person video terminal; the step of requesting comprises the step of placing the identity of the requesting one of the video terminals into a queue maintained in the chair person video terminal; and the step of inserting comprises the step of retrieving the identity of the requesting one of the video terminals from the queue to use the identity to generate the third control information for inserting the video picture from the requesting one of the video terminals into the chair view picture.
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15. A method for controlling a video conference between plurality of video terminals interconnected by a telecommunication switching system with each video terminal transmitting a video picture and one of the video terminals being a chair person video terminal that is controlling the video conference, the method comprising the steps of: determining a chair view picture by the chair person video terminal to be provided by the telecommunication switching system under control of first control information transmitted to the telecommunication switching system from the chair person video terminal wherein the chair view picture is then made available to all video terminals; delivering the chair view picture as determined by the chair person video terminal from the telecommunication switching system to all of the video terminals; requesting permission of the chair person video terminal to ask a question by a user of one of the other video terminals by transmission of second control information to the chair person video terminal; inserting the video picture from the requesting one of the video terminals into the chair view picture by the telecommunication switching system under control of third control information being transmitted to the telecommunication switching system from the chair person video terminal upon permission being granted by the chair person video terminal; the step of requesting comprises the step of placing the identity of the requesting one of the video terminals into a queue maintained in the chair person video terminal; and the step of inserting comprises the step of retrieving the identity of the requesting one of the video terminals from the queue to use the identity to generate the third control information for inserting the video picture from the requesting one of the video terminals into the chair view picture. 18. The method of claim 15 wherein the indicators are icons on the display.
| 0.630718 |
1. A system for knowledge representation and application development comprising: a processor; a memory unit coupled to the processor; a plurality of information units stored in the memory units, the information units including: an information unit element or set of information unit elements that reference at least one separate information unit, either directly or indirectly; an operator that defines one of a plurality of actions the information unit performs when it is shocked or activated; and at least one path that describes a relationship that exists between the information unit and a separate information unit; and a dynamic engine module executable by the processor for shocking or activating the operator of an information unit and causing further shocks, or activations, to flow to separate information units to which the shocked information unit is connected via a path, and wherein the information units and the paths embody a knowledge representation schema, the information unit model, whereby an instantiation or instance of the information unit model refers to a particular collection and assembly of model elements to correspond to at least one of a domain, a set of observations, actual knowledge and data.
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1. A system for knowledge representation and application development comprising: a processor; a memory unit coupled to the processor; a plurality of information units stored in the memory units, the information units including: an information unit element or set of information unit elements that reference at least one separate information unit, either directly or indirectly; an operator that defines one of a plurality of actions the information unit performs when it is shocked or activated; and at least one path that describes a relationship that exists between the information unit and a separate information unit; and a dynamic engine module executable by the processor for shocking or activating the operator of an information unit and causing further shocks, or activations, to flow to separate information units to which the shocked information unit is connected via a path, and wherein the information units and the paths embody a knowledge representation schema, the information unit model, whereby an instantiation or instance of the information unit model refers to a particular collection and assembly of model elements to correspond to at least one of a domain, a set of observations, actual knowledge and data. 5. The system of claim 1 , wherein the information unit elements reference a set of information units that represents a list.
| 0.570661 |
1. A method comprising: obtaining a designated query intent from a search query; in response to obtaining the designated query intent from the search query, obtaining a second wiki article corresponding to the designated query intent, wherein the second wiki article includes a second title, a second body, and a plurality of respective links; obtaining a plurality of first wiki articles that correspond to the plurality of respective links included in the second wiki article, wherein each of the first wiki articles includes a different title and a different body; extracting a plurality of first titles of the plurality of first wiki articles; extracting the second title of the second wiki article; generating an initial key term set including the plurality of first titles and the second title; correlating each of the plurality of first titles and the second title with at least one respective clicked uniform resource identifier based on a search click log, wherein the search click log comprises a record of historical search queries provided by users and documents clicked by the users from search results retrieved in response to the historical search queries, and wherein each of the documents has a respective uniform resource identifier; generating an expanded key term set to include the initial key term set expanded to further include search terms correlated to the at least one respective clicked uniform resource identifier; training a search query intent classifier to classify search queries with respect to the designated query intent based on the expanded key term set; obtaining the designated query intent from a subsequent search query; and in response to obtaining the subsequent search query corresponding to the designated query intent, controlling the trained search query intent classifier to select advertisement data based on the expanded key term set.
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1. A method comprising: obtaining a designated query intent from a search query; in response to obtaining the designated query intent from the search query, obtaining a second wiki article corresponding to the designated query intent, wherein the second wiki article includes a second title, a second body, and a plurality of respective links; obtaining a plurality of first wiki articles that correspond to the plurality of respective links included in the second wiki article, wherein each of the first wiki articles includes a different title and a different body; extracting a plurality of first titles of the plurality of first wiki articles; extracting the second title of the second wiki article; generating an initial key term set including the plurality of first titles and the second title; correlating each of the plurality of first titles and the second title with at least one respective clicked uniform resource identifier based on a search click log, wherein the search click log comprises a record of historical search queries provided by users and documents clicked by the users from search results retrieved in response to the historical search queries, and wherein each of the documents has a respective uniform resource identifier; generating an expanded key term set to include the initial key term set expanded to further include search terms correlated to the at least one respective clicked uniform resource identifier; training a search query intent classifier to classify search queries with respect to the designated query intent based on the expanded key term set; obtaining the designated query intent from a subsequent search query; and in response to obtaining the subsequent search query corresponding to the designated query intent, controlling the trained search query intent classifier to select advertisement data based on the expanded key term set. 10. The method of claim 1 , wherein extracting the plurality of first titles comprises: extracting the plurality of first titles of the plurality of respective first wiki articles that corresponds to a plurality of respective article links that are associated with the second wiki article to provide the initial key term set.
| 0.693135 |
1. A method implemented by a question answer system that includes a memory and a processor, the method comprising: training an unreasonable answer filter using a set of training questions, a set of training answers corresponding to the set of training questions, and a set of unreasonable answers corresponding to the set of training questions; computing, by the unreasonable answer filter, one or more unreasonable answer probabilities of one or more ranked answers in a set of ranked answers, wherein each of the one or more unreasonable answer probabilities indicate a likelihood that its corresponding ranked answer is an incorrect answer to a question; determining, by the unreasonable answer filter, that at least one of the one or more unreasonable answer probabilities reaches a threshold, indicating that their one or more corresponding ranked answers are one or more unreasonable answers to the question; removing the one or more unreasonable answers from the set of ranked answers, resulting in a modified set of ranked answers; and providing the modified set of ranked answers to a user.
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1. A method implemented by a question answer system that includes a memory and a processor, the method comprising: training an unreasonable answer filter using a set of training questions, a set of training answers corresponding to the set of training questions, and a set of unreasonable answers corresponding to the set of training questions; computing, by the unreasonable answer filter, one or more unreasonable answer probabilities of one or more ranked answers in a set of ranked answers, wherein each of the one or more unreasonable answer probabilities indicate a likelihood that its corresponding ranked answer is an incorrect answer to a question; determining, by the unreasonable answer filter, that at least one of the one or more unreasonable answer probabilities reaches a threshold, indicating that their one or more corresponding ranked answers are one or more unreasonable answers to the question; removing the one or more unreasonable answers from the set of ranked answers, resulting in a modified set of ranked answers; and providing the modified set of ranked answers to a user. 3. The method of claim 1 further comprising: generating, based upon the training, a feature set graph that includes both a correct/incorrect hyperplane and an unreasonable answer hyperplane.
| 0.776814 |
1. A method, comprising: at an electronic device with one or more processors, memory, and a touch-sensitive display: receiving proximity data from a proximity sensor of the electronic device, wherein the proximity sensor is configured to obtain proximity data corresponding to a location of a user relative to the electronic device; receiving a touch input on the touch-sensitive display; determining whether the electronic device is in one of a first or second proximity state based on the received proximity data, wherein the second proximity state occurs when the electronic device is proximate to the user; upon determining that the electronic device is in the first proximity state, processing the touch input as an intentional touch input; upon determining that the electronic device is in the second proximity state, processing the touch input as an unintentional touch input; and in response to a change in the received proximity data, changing the processing of the touch input.
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1. A method, comprising: at an electronic device with one or more processors, memory, and a touch-sensitive display: receiving proximity data from a proximity sensor of the electronic device, wherein the proximity sensor is configured to obtain proximity data corresponding to a location of a user relative to the electronic device; receiving a touch input on the touch-sensitive display; determining whether the electronic device is in one of a first or second proximity state based on the received proximity data, wherein the second proximity state occurs when the electronic device is proximate to the user; upon determining that the electronic device is in the first proximity state, processing the touch input as an intentional touch input; upon determining that the electronic device is in the second proximity state, processing the touch input as an unintentional touch input; and in response to a change in the received proximity data, changing the processing of the touch input. 2. The method of claim 1 , further comprising: after receiving the touch input on the touch-sensitive display, determining whether the touch input resembles contact with the user's body.
| 0.76312 |
8. A computer program product for improving engagement of user in collaboration activities, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for: detecting a request to select an artifact in a communication system, wherein said artifact is a digital object displayed to said user on a user's computing device that is used for engaging in collaborative activity with other users, wherein said selecting said artifact comprises selecting to view a collaboration summary of said artifact, wherein said selection of said artifact is detected to have occurred in response to one of the following: said artifact having a threshold number of updates over a period of time and said artifact is associated with a threshold number of users; analyzing said communication system for identifying collaboration activities related to said artifact using natural language processing to identify other related artifacts; retrieving details of said artifact upon detecting said user selecting said artifact; retrieving details concerning said identified collaboration activities related to said artifact, wherein said details are selected from the group consisting of: names of users who made postings and time and date of said postings; analyzing said details of said artifact and said details concerning said identified collaboration activities related to said artifact; creating a list of artifacts related to said artifact based on said analysis of said details of said artifact and said details concerning said identified collaboration activities related to said artifact to identify other related activities; determining for each artifact in said list of related artifacts if the respective artifact is permitted for collaboration based on a policy associated with said respective artifact, wherein if said respective artifact is not permitted for collaboration, removing said respective artifact from said list of related artifacts; determining collaboration activities for each artifact in said list of related artifacts, wherein said collaboration activities for each artifact in said list of related artifacts are determined using natural language processing; analyzing said determined collaboration activities for each artifact in said list of related artifacts; forming said collaboration summary for each artifact in said list of related artifacts based on said analysis of said determined collaboration activities for each artifact in said list of related artifacts, wherein said collaboration summary comprises a summary of collaboration activities; weighting said collaboration activities in said collaboration summary for each artifact in said list of related artifacts based on time of said collaboration activities; ordering said collaboration activities in said collaboration summary for each artifact in said list of related artifacts based on said weights; and presenting said collaboration summary for each artifact in said list of related artifacts to a user based on said order.
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8. A computer program product for improving engagement of user in collaboration activities, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code comprising the programming instructions for: detecting a request to select an artifact in a communication system, wherein said artifact is a digital object displayed to said user on a user's computing device that is used for engaging in collaborative activity with other users, wherein said selecting said artifact comprises selecting to view a collaboration summary of said artifact, wherein said selection of said artifact is detected to have occurred in response to one of the following: said artifact having a threshold number of updates over a period of time and said artifact is associated with a threshold number of users; analyzing said communication system for identifying collaboration activities related to said artifact using natural language processing to identify other related artifacts; retrieving details of said artifact upon detecting said user selecting said artifact; retrieving details concerning said identified collaboration activities related to said artifact, wherein said details are selected from the group consisting of: names of users who made postings and time and date of said postings; analyzing said details of said artifact and said details concerning said identified collaboration activities related to said artifact; creating a list of artifacts related to said artifact based on said analysis of said details of said artifact and said details concerning said identified collaboration activities related to said artifact to identify other related activities; determining for each artifact in said list of related artifacts if the respective artifact is permitted for collaboration based on a policy associated with said respective artifact, wherein if said respective artifact is not permitted for collaboration, removing said respective artifact from said list of related artifacts; determining collaboration activities for each artifact in said list of related artifacts, wherein said collaboration activities for each artifact in said list of related artifacts are determined using natural language processing; analyzing said determined collaboration activities for each artifact in said list of related artifacts; forming said collaboration summary for each artifact in said list of related artifacts based on said analysis of said determined collaboration activities for each artifact in said list of related artifacts, wherein said collaboration summary comprises a summary of collaboration activities; weighting said collaboration activities in said collaboration summary for each artifact in said list of related artifacts based on time of said collaboration activities; ordering said collaboration activities in said collaboration summary for each artifact in said list of related artifacts based on said weights; and presenting said collaboration summary for each artifact in said list of related artifacts to a user based on said order. 14. The computer program product as recited in claim 8 , wherein the program code further comprises the programming instructions for: receiving a selection of one of said collaboration summaries for an artifact in said list of related artifacts.
| 0.523062 |
6. A text mining method for performing text mining on a first text data and a second text data, wherein each word of the first and second text data has a confidence, comprising (a) calculating a mutual information amount I(w i , w j ) at least based on a frequency of appearance of word w i in the first text data N 1st (w i ), a frequency of appearance of word w j in the second text data N 2nd (w j ), and a frequency of co-appearance of w i and w j in both text data N 1st,2nd (w i , w j ) using the confidence of w i and the confidence of w j ; and (b) using the mutual information amount I(w i , w j ) to calculate degrees to which w i and w j correspond to inherent portions of the first and second text data, wherein N 1 st ( w i ) = ∑ l R 1 st ( w i , l ) , [ Equation A ] N 2 nd ( w j ) = ∑ l R 2 nd ( w j , l ) , [ Equation B ] N 1 st , 2 nd ( w i , w j ) = ∑ l R 1 st ( w i , l ) R 2 nd ( w j , l ) , [ Equation C ] R 1st (w i ,l indicates a confidence of w i for record l, R 2nd (w j ,l) indicates a confidence of w j for record l.
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6. A text mining method for performing text mining on a first text data and a second text data, wherein each word of the first and second text data has a confidence, comprising (a) calculating a mutual information amount I(w i , w j ) at least based on a frequency of appearance of word w i in the first text data N 1st (w i ), a frequency of appearance of word w j in the second text data N 2nd (w j ), and a frequency of co-appearance of w i and w j in both text data N 1st,2nd (w i , w j ) using the confidence of w i and the confidence of w j ; and (b) using the mutual information amount I(w i , w j ) to calculate degrees to which w i and w j correspond to inherent portions of the first and second text data, wherein N 1 st ( w i ) = ∑ l R 1 st ( w i , l ) , [ Equation A ] N 2 nd ( w j ) = ∑ l R 2 nd ( w j , l ) , [ Equation B ] N 1 st , 2 nd ( w i , w j ) = ∑ l R 1 st ( w i , l ) R 2 nd ( w j , l ) , [ Equation C ] R 1st (w i ,l indicates a confidence of w i for record l, R 2nd (w j ,l) indicates a confidence of w j for record l. 10. The text mining method according to claim 6 , further comprising separately performing text mining of the inherent portions of the first and second text data.
| 0.746199 |
19. A method for training a speech recognition system to recognize a user's utterance, comprising the steps of: providing an utterance to the speech recognition system while in a training mode; monitoring a bio-signal derived from the user, said bio-signal being related to autonomic activity; and using said bio-signal to identify said utterance for retraining.
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19. A method for training a speech recognition system to recognize a user's utterance, comprising the steps of: providing an utterance to the speech recognition system while in a training mode; monitoring a bio-signal derived from the user, said bio-signal being related to autonomic activity; and using said bio-signal to identify said utterance for retraining. 25. The method of claim 19, wherein said step of using said bio-signal comprises identifying said utterance when said bio-signal is above an upper threshold.
| 0.535088 |
3. The method of claim 2 , wherein the collection of relationship distances of entities includes a relationship graph with nodes and edges, the nodes representing the entities, and the edges representing a direct relationship between any two entities.
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3. The method of claim 2 , wherein the collection of relationship distances of entities includes a relationship graph with nodes and edges, the nodes representing the entities, and the edges representing a direct relationship between any two entities. 4. The method of claim 3 , wherein the relatedness measure of two entities is measured in a number of hops between two nodes corresponding to the two entities.
| 0.971449 |
1. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method, the method comprising: identifying website categories for a plurality of websites; identifying deeplink pages within the websites and a deeplink page type for each deeplink page; tracking information for an end user identifying deeplink page types of deeplink pages visited by the end user and website categories of websites at which the deeplink pages visited by the end user are located; storing user behavior information for the end user based on the tracked information, the user behavior information mapping the deeplink page types of the deeplink pages visited by the end user to the website categories of the websites at which the deeplink pages visited by the end user are located; receiving a search query from the end user; identifying a search result web page in response to the search query by querying a search engine index based on the search query; identifying a website category of a website at which the search result web page is located; accessing the user behavior information for the end user; identifying, from the user behavior information, a deeplink page type of one or more deeplink pages previously visited by the end user at one or more other websites within the website category of the website at which the search result web page is located; identifying a first deeplink page within the website at which the search result web page is located corresponding with the deeplink page type of the one or more deeplink pages previously visited by the end user at the one or more other websites within the website category of the website at which the search result web page is located; generating a search result for the search result web page to include a deeplink to the first deeplink page within the website at which the search result web page is located; and providing the search result for presentation to the end user.
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1. One or more computer storage media storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method, the method comprising: identifying website categories for a plurality of websites; identifying deeplink pages within the websites and a deeplink page type for each deeplink page; tracking information for an end user identifying deeplink page types of deeplink pages visited by the end user and website categories of websites at which the deeplink pages visited by the end user are located; storing user behavior information for the end user based on the tracked information, the user behavior information mapping the deeplink page types of the deeplink pages visited by the end user to the website categories of the websites at which the deeplink pages visited by the end user are located; receiving a search query from the end user; identifying a search result web page in response to the search query by querying a search engine index based on the search query; identifying a website category of a website at which the search result web page is located; accessing the user behavior information for the end user; identifying, from the user behavior information, a deeplink page type of one or more deeplink pages previously visited by the end user at one or more other websites within the website category of the website at which the search result web page is located; identifying a first deeplink page within the website at which the search result web page is located corresponding with the deeplink page type of the one or more deeplink pages previously visited by the end user at the one or more other websites within the website category of the website at which the search result web page is located; generating a search result for the search result web page to include a deeplink to the first deeplink page within the website at which the search result web page is located; and providing the search result for presentation to the end user. 2. The one or more computer storage media of claim 1 , wherein identifying the website categories for the plurality of websites comprises at least one selected from the following: clustering websites based on the content of web pages within the websites; and employing an existing website categorization.
| 0.54211 |
11. A method for monitoring operation of a plurality of distributed computing components, the method comprising: storing (a) descriptions of the plurality of computing components and (b) a plurality of service-level agreements (SLAs) where each one of the plurality of SLAs specifies at least one performance requirement for at least one of the plurality of distributed computing components; generating at least a first and a second continuous query based on the information stored in the registry; executing the first continuous query on input events indicating actions performed by the plurality of distributed computing components and corresponding performance information; determining, as part of execution of the first continuous query, that a violation of a first SLA of the plurality of SLAs has occurred and, in accordance with determination of violation of the first SLA, output a first event indicating the violation of the first SLA; determining, as part of execution of the first continuous query, that a violation of a second SLA of the plurality of SLAs has occurred and, in accordance with determination of violation of the second SLA, output a second event indicating the violation of the second SLA; executing, in connection with at least one processor, the at least one second continuous query on input events indicating violations of at least some of the plurality of SLAs including the first event and the second event; determining, as part of execution of the second continuous query and based on the first and second events, a relationship exists between the violation of the first SLA and the violation of the second SLA; and producing and outputting, in accordance with determination of the relationship between the violation of the first SLA and the violation of the second SLA, an event that indicates the relationship, wherein determination of the relationship between the violation of the first SLA and the violation of the second SLA is based on 1) temporal correlation of the violation of the first SLA and the violation of the second SLA; or 2) a defined dependency between the at least one distributed computing component associated with the violation of the first SLA and the at least one distributed computing component associated with the violation of the second SLA, wherein the first event and/or the second event comprise(s) data about the time when the corresponding violation was detected, which violation occurred, and/or measured values.
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11. A method for monitoring operation of a plurality of distributed computing components, the method comprising: storing (a) descriptions of the plurality of computing components and (b) a plurality of service-level agreements (SLAs) where each one of the plurality of SLAs specifies at least one performance requirement for at least one of the plurality of distributed computing components; generating at least a first and a second continuous query based on the information stored in the registry; executing the first continuous query on input events indicating actions performed by the plurality of distributed computing components and corresponding performance information; determining, as part of execution of the first continuous query, that a violation of a first SLA of the plurality of SLAs has occurred and, in accordance with determination of violation of the first SLA, output a first event indicating the violation of the first SLA; determining, as part of execution of the first continuous query, that a violation of a second SLA of the plurality of SLAs has occurred and, in accordance with determination of violation of the second SLA, output a second event indicating the violation of the second SLA; executing, in connection with at least one processor, the at least one second continuous query on input events indicating violations of at least some of the plurality of SLAs including the first event and the second event; determining, as part of execution of the second continuous query and based on the first and second events, a relationship exists between the violation of the first SLA and the violation of the second SLA; and producing and outputting, in accordance with determination of the relationship between the violation of the first SLA and the violation of the second SLA, an event that indicates the relationship, wherein determination of the relationship between the violation of the first SLA and the violation of the second SLA is based on 1) temporal correlation of the violation of the first SLA and the violation of the second SLA; or 2) a defined dependency between the at least one distributed computing component associated with the violation of the first SLA and the at least one distributed computing component associated with the violation of the second SLA, wherein the first event and/or the second event comprise(s) data about the time when the corresponding violation was detected, which violation occurred, and/or measured values. 14. A non-transitory computer readable storage medium tangibly storing a computer program comprising instructions for implementing a method in accordance with claim 11 .
| 0.547574 |
8. The system of claim 1 , wherein the index tags includes metadata that imposes a hierarchical structure.
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8. The system of claim 1 , wherein the index tags includes metadata that imposes a hierarchical structure. 9. The system of claim 8 , wherein the metadata includes information solicited from the respective users, data deduced through utilization of artificial intelligence, or information retrieved from one or more databases.
| 0.90756 |
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