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8,713,078 | 25 | 30 |
25. A computer system for managing video contents, comprising: a personal electronic device including a processor configured to process information; a storage subsystem configured to store information and computer program code; the computer system configured for: generating a custom taxonomy of topics personalized for a user, based on a viewing history of the user, the custom taxonomy of topics including at least one hierarchical level of subtopics from dynamic data sources, wherein generating the custom taxonomy of topics comprises: collecting a plurality of keywords related to a video topic, wherein the keywords are collected from a plurality of dynamic data sources; and utilizing a taxonomy builder for: identifying one or more video sub-topics of the video topic based on a ranking of the keywords collected for the video topic; and building a topic node in the custom taxonomy of topics, wherein the topic node includes a set comprising: a topic identifier for the video topic; a child topic identifier comprising a list of the video sub-topics identified; and a keyword section comprising the keywords collected for the video topic; and categorizing and ranking a plurality of videos by identifying keywords in video metadata associated with the plurality of videos, and using the hierarchical relationship in the customized taxonomy of topics to determine how closely the plurality of videos are related to the first video topic and the video sub-topics by comparing the keywords identified in the video metadata associated with the plurality of videos to the keyword section.
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25. A computer system for managing video contents, comprising: a personal electronic device including a processor configured to process information; a storage subsystem configured to store information and computer program code; the computer system configured for: generating a custom taxonomy of topics personalized for a user, based on a viewing history of the user, the custom taxonomy of topics including at least one hierarchical level of subtopics from dynamic data sources, wherein generating the custom taxonomy of topics comprises: collecting a plurality of keywords related to a video topic, wherein the keywords are collected from a plurality of dynamic data sources; and utilizing a taxonomy builder for: identifying one or more video sub-topics of the video topic based on a ranking of the keywords collected for the video topic; and building a topic node in the custom taxonomy of topics, wherein the topic node includes a set comprising: a topic identifier for the video topic; a child topic identifier comprising a list of the video sub-topics identified; and a keyword section comprising the keywords collected for the video topic; and categorizing and ranking a plurality of videos by identifying keywords in video metadata associated with the plurality of videos, and using the hierarchical relationship in the customized taxonomy of topics to determine how closely the plurality of videos are related to the first video topic and the video sub-topics by comparing the keywords identified in the video metadata associated with the plurality of videos to the keyword section. 30. The computer system of claim 25 , wherein the keywords are assigned with the ranks by using one or more the following factors: (i) the number of times a keyword appears in each dynamic data source, (ii) the total number of times a keyword appears in the dynamic data sources, and (iii) the number of times a keyword appears in a user's personalized data source.
| 0.805437 |
8,155,960 | 1 | 5 |
1. A method comprising: identifying, in a database of utterances, first transcribed utterances and first un-transcribed utterances; identifying transcription candidate utterances from the first un-transcribed utterances; predicting, via a processor, likely recognition error utterances from the transcription candidate utterances; forwarding the likely recognition error utterances to a transcriber, to yield additional transcribed utterances; adding the additional transcribed utterances to the database of utterances, to yield an updated database of second transcribed utterances and second un-transcribed utterances; and if word accuracy has converged, modifying an automatic speech recognition system by providing both the second transcribed utterances and the second un-transcribed utterances to the automatic speech recognition system.
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1. A method comprising: identifying, in a database of utterances, first transcribed utterances and first un-transcribed utterances; identifying transcription candidate utterances from the first un-transcribed utterances; predicting, via a processor, likely recognition error utterances from the transcription candidate utterances; forwarding the likely recognition error utterances to a transcriber, to yield additional transcribed utterances; adding the additional transcribed utterances to the database of utterances, to yield an updated database of second transcribed utterances and second un-transcribed utterances; and if word accuracy has converged, modifying an automatic speech recognition system by providing both the second transcribed utterances and the second un-transcribed utterances to the automatic speech recognition system. 5. The method of claim 1 , wherein a word is considered to be correctly recognized if the word has a confidence score higher than a threshold value.
| 0.717557 |
8,566,101 | 3 | 4 |
3. The apparatus of claim 2 , wherein the control unit is further configured to output information indicating the plurality of editable units through the display unit.
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3. The apparatus of claim 2 , wherein the control unit is further configured to output information indicating the plurality of editable units through the display unit. 4. The apparatus of claim 3 , wherein the information indicating the plurality of editable units comprises visual indication information that is used to display the word sequence such that the word sequence is differentiated into units of editable words.
| 0.583607 |
9,104,707 | 5 | 15 |
5. A non-transitory computer-readable storage medium having stored thereon instructions that, upon execution by a computing device, cause the computing device at least to: construct a first association between a first value extracted from a set of items and a first column name selected from a set of textual values that are ontologically related to one or more values in the set of items, the set of items comprising a key and one or more values associated with the key; select the first value for association with a different column name based at least in part on a semantic fit quality for the first value; and construct a second association between the first value and a second column name, the second column name selected by traversing a graph representative of ontological relationships between the first column name and one or more additional column names.
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5. A non-transitory computer-readable storage medium having stored thereon instructions that, upon execution by a computing device, cause the computing device at least to: construct a first association between a first value extracted from a set of items and a first column name selected from a set of textual values that are ontologically related to one or more values in the set of items, the set of items comprising a key and one or more values associated with the key; select the first value for association with a different column name based at least in part on a semantic fit quality for the first value; and construct a second association between the first value and a second column name, the second column name selected by traversing a graph representative of ontological relationships between the first column name and one or more additional column names. 15. The non-transitory computer-readable storage medium of claim 5 , wherein an initial association between the first value and the first column name is based on an identity function mapping the first value to a column name.
| 0.737705 |
7,739,354 | 1 | 8 |
1. A computer implemented method for embedding data in a text page at a proxy, the proxy comprising an intermediary between a resource and a request for the resource, the method comprising: receiving the request for the resource at the proxy from a client machine, wherein the proxy is configured to accept requests from a plurality of client machines, wherein the client machines are independent of the proxy; extracting, at the proxy, a resource identifier from the request and storing said the resource identifier, wherein the resource identifier identifies the resource being requested; forwarding the request for said resource from the proxy to a location having the resource; receiving the resource in response to forwarding the request; thereafter, at the proxy, parsing the received resource based at least partially on the resource identifier to match the received resource with the previously stored resource identifier; analyzing a plurality of templates using at least the previously stored resource identifier to obtain a template associated with the resource; using the template associated with the received resource identified by the previously stored resource identifier to identify one or more recognized elements in the received resource; and embedding data into the received resource based on the one or more recognized elements.
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1. A computer implemented method for embedding data in a text page at a proxy, the proxy comprising an intermediary between a resource and a request for the resource, the method comprising: receiving the request for the resource at the proxy from a client machine, wherein the proxy is configured to accept requests from a plurality of client machines, wherein the client machines are independent of the proxy; extracting, at the proxy, a resource identifier from the request and storing said the resource identifier, wherein the resource identifier identifies the resource being requested; forwarding the request for said resource from the proxy to a location having the resource; receiving the resource in response to forwarding the request; thereafter, at the proxy, parsing the received resource based at least partially on the resource identifier to match the received resource with the previously stored resource identifier; analyzing a plurality of templates using at least the previously stored resource identifier to obtain a template associated with the resource; using the template associated with the received resource identified by the previously stored resource identifier to identify one or more recognized elements in the received resource; and embedding data into the received resource based on the one or more recognized elements. 8. The computer implemented method of claim 1 wherein said embedded data comprises a script.
| 0.839721 |
8,031,943 | 1 | 3 |
1. A system for automatic natural language translation of embedded text regions in images during information transfer, the system comprising: a computing platform having hardware for performing a logical process; a clipboard buffer portion of the computing platform configured to receive a copy of one or more user-selected image elements from within a source computer file responsive to user operation of a cut-and-paste command; an isolator and interceptor portion of the computing platform configured to: receive a user-supplied isolation rule defining one or more types of image elements to be isolated, examine the one or more image elements in the clipboard buffer against the isolation rule, responsive to the one or more image elements meeting the isolation rule, transfer the one or more image elements from the clipboard buffer portion to an isolation store, and disable pasting of the one or more image elements into a destination computer file; a recognizer portion of the computing platform configured to recognize text from within the one or more image elements in the isolation store; a source language identifier portion of the computing platform configured to determine a natural language in which the recognized text is expressed; a preference comparitor portion of a computing platform configured to determine if the natural language of the recognized text matches a user-specified destination natural language; a translator portion of a computing platform configured to perform natural language translation of the recognized text into the user-specified destination natural language; a text image renderer portion of a computing platform configured to produce image data for translated text; an image modifier portion of the computing platform configured to overlay text within the one or more image elements stored in the isolation store with the image data; and a copier portion of the computing platform configured to complete pasting of the one or more image elements from the isolation store to one or more user-designated destination points within the destination computer file.
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1. A system for automatic natural language translation of embedded text regions in images during information transfer, the system comprising: a computing platform having hardware for performing a logical process; a clipboard buffer portion of the computing platform configured to receive a copy of one or more user-selected image elements from within a source computer file responsive to user operation of a cut-and-paste command; an isolator and interceptor portion of the computing platform configured to: receive a user-supplied isolation rule defining one or more types of image elements to be isolated, examine the one or more image elements in the clipboard buffer against the isolation rule, responsive to the one or more image elements meeting the isolation rule, transfer the one or more image elements from the clipboard buffer portion to an isolation store, and disable pasting of the one or more image elements into a destination computer file; a recognizer portion of the computing platform configured to recognize text from within the one or more image elements in the isolation store; a source language identifier portion of the computing platform configured to determine a natural language in which the recognized text is expressed; a preference comparitor portion of a computing platform configured to determine if the natural language of the recognized text matches a user-specified destination natural language; a translator portion of a computing platform configured to perform natural language translation of the recognized text into the user-specified destination natural language; a text image renderer portion of a computing platform configured to produce image data for translated text; an image modifier portion of the computing platform configured to overlay text within the one or more image elements stored in the isolation store with the image data; and a copier portion of the computing platform configured to complete pasting of the one or more image elements from the isolation store to one or more user-designated destination points within the destination computer file. 3. The system as set forth in claim 1 wherein the recognizer portion comprises a Text String Extractor configured to extract strings of encoded text.
| 0.668889 |
9,509,757 | 8 | 9 |
8. A non-transitory computer-readable storage medium storing a plurality of instructions that cause one or more processors to perform a method comprising: creating a multi-language sorting index for strings associated with an application having a plurality of supported languages by: for each string associated with the application: recursively, at each offset of the string, identifying each substring at the offset that is in a combined mapping table, the combined mapping table mapping substrings to collation elements in the plurality of supported languages such that (i) the combined mapping table maps each particular substring to at least one particular collation element in each of the plurality of supported languages, and (ii) each and every particular collation element that corresponds to the particular substring in each of the plurality of supported languages is identified in the combined mapping table, wherein a collation element is a logical mapping of a character to a sequence of weights, for each substring: appending the one or more collation elements in the combined mapping table that correspond to the substring to one or more collation element sequences for the string, wherein the appending comprises building the one or more collation element sequences for each of the supported languages by (i) identifying languages from the combined mapping table based on each substring, and (ii) appending each collation element with respect to each of the identified languages for each substring; and moving the offset by the length of the substring, and upon reaching the end of the string, converting each collation element sequence for the string into a sort key to generate the multi-language sorting index that includes all the sort keys for the string in each of the plurality of supported languages, wherein a sort key is string of bytes that encapsulates a sorting order for a string, wherein the multi-language sorting index corresponds to a single index for the plurality of supported languages and wherein multiple sort keys are generated in a single pass of the combined mapping table for at least one of the strings associated with the application.
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8. A non-transitory computer-readable storage medium storing a plurality of instructions that cause one or more processors to perform a method comprising: creating a multi-language sorting index for strings associated with an application having a plurality of supported languages by: for each string associated with the application: recursively, at each offset of the string, identifying each substring at the offset that is in a combined mapping table, the combined mapping table mapping substrings to collation elements in the plurality of supported languages such that (i) the combined mapping table maps each particular substring to at least one particular collation element in each of the plurality of supported languages, and (ii) each and every particular collation element that corresponds to the particular substring in each of the plurality of supported languages is identified in the combined mapping table, wherein a collation element is a logical mapping of a character to a sequence of weights, for each substring: appending the one or more collation elements in the combined mapping table that correspond to the substring to one or more collation element sequences for the string, wherein the appending comprises building the one or more collation element sequences for each of the supported languages by (i) identifying languages from the combined mapping table based on each substring, and (ii) appending each collation element with respect to each of the identified languages for each substring; and moving the offset by the length of the substring, and upon reaching the end of the string, converting each collation element sequence for the string into a sort key to generate the multi-language sorting index that includes all the sort keys for the string in each of the plurality of supported languages, wherein a sort key is string of bytes that encapsulates a sorting order for a string, wherein the multi-language sorting index corresponds to a single index for the plurality of supported languages and wherein multiple sort keys are generated in a single pass of the combined mapping table for at least one of the strings associated with the application. 9. The computer-readable medium of claim 8 , wherein the method further comprises: receiving a query for a sorted result of strings associated with the application; utilizing the multi-language sorting index to generate the sorted result based on the query, the strings, and a particular language associated with the query; and outputting the sorted result via the application.
| 0.509115 |
10,146,748 | 23 | 25 |
23. A user device comprising: a display device; a memory; and a processing device communicably coupled to the display device and the memory, wherein the processing device to execute instruction from the memory to cause the processing device to perform operations comprising: providing, via a graphical user interface (GUI) displayed on the display device, a media collaboration, the media collaboration comprising a composite media stream generated from combining media streams transmitted from devices of users; providing, via the GUI, a communication associated with a location as part of the media collaboration; receiving embedded location information comprising a map corresponding to the location, the location identified using natural language processing (NLP) techniques on the communication and location association techniques to identify the location information; receiving, without user intervention, a preview of the location information identified using the NLP techniques, the preview comprising the map and a user interface (UI) element, the UI element to confirm sharing of the location information within the media collaboration; providing, without user intervention, the preview via a graphical user interface (GUI) of the media collaboration, the preview provided in a conversation portion of the GUI of the media collaboration without being visible to other users in the conversation portion of the GUI of the media collaboration, wherein the user is associated with the user device; responsive to receiving an indication to share the location information via the UI element of the preview, providing, via the GUI, the embedded location information comprising the map as part of the media collaboration and visible within the media collaboration to the other users; and responsive to receiving an indication that sharing of the location information is declined, removing the preview from the GUI without sharing the location information in the media collaboration.
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23. A user device comprising: a display device; a memory; and a processing device communicably coupled to the display device and the memory, wherein the processing device to execute instruction from the memory to cause the processing device to perform operations comprising: providing, via a graphical user interface (GUI) displayed on the display device, a media collaboration, the media collaboration comprising a composite media stream generated from combining media streams transmitted from devices of users; providing, via the GUI, a communication associated with a location as part of the media collaboration; receiving embedded location information comprising a map corresponding to the location, the location identified using natural language processing (NLP) techniques on the communication and location association techniques to identify the location information; receiving, without user intervention, a preview of the location information identified using the NLP techniques, the preview comprising the map and a user interface (UI) element, the UI element to confirm sharing of the location information within the media collaboration; providing, without user intervention, the preview via a graphical user interface (GUI) of the media collaboration, the preview provided in a conversation portion of the GUI of the media collaboration without being visible to other users in the conversation portion of the GUI of the media collaboration, wherein the user is associated with the user device; responsive to receiving an indication to share the location information via the UI element of the preview, providing, via the GUI, the embedded location information comprising the map as part of the media collaboration and visible within the media collaboration to the other users; and responsive to receiving an indication that sharing of the location information is declined, removing the preview from the GUI without sharing the location information in the media collaboration. 25. The user device of claim 23 , wherein the location association techniques utilize the location and a location context of one or more users of the media collaboration to identify the location information, wherein the location context is determined based on at least one of global positioning system (GPS) data, cellular data signals, sensor data, Wi-Fi signals, internet protocol (IP) addresses, web application programming interface (API) input, or direct input from the at least one user.
| 0.5 |
9,594,542 | 12 | 17 |
12. A computer program product, comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code including instructions to: receive a span of natural language annotated with an annotating object from a third-party developer, the annotating object comprising one of an input action object, an output action object, an input concept object, an intermediate concept object, another intermediate concept object and an output concept object; match a first object and a second object with a user input, the first object comprising one of the input action object, the output action object, the input concept object, the intermediate concept object, the other intermediate concept object and the output concept object, the second object comprising another one of the input action object, the output action object, the input concept object, the intermediate concept object, the other intermediate concept object and the output concept object; form an intent based on the user input; create a plan based on the intent and the annotated span of natural language, the plan comprising the input action object selected from a plurality of action objects that transforms the input concept object associated with the intent into the intermediate concept object, and the output action object selected from the plurality of action objects that transforms another intermediate concept object into the output concept object associated with a goal of the intent, the other intermediate concept object comprising one of a same object as the intermediate concept object and a different object from the intermediate concept object; executing the plan; and output a value associated with the output concept object associated with the user input.
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12. A computer program product, comprising a non-transitory computer-readable medium having a computer-readable program code embodied therein to be executed by one or more processors, the program code including instructions to: receive a span of natural language annotated with an annotating object from a third-party developer, the annotating object comprising one of an input action object, an output action object, an input concept object, an intermediate concept object, another intermediate concept object and an output concept object; match a first object and a second object with a user input, the first object comprising one of the input action object, the output action object, the input concept object, the intermediate concept object, the other intermediate concept object and the output concept object, the second object comprising another one of the input action object, the output action object, the input concept object, the intermediate concept object, the other intermediate concept object and the output concept object; form an intent based on the user input; create a plan based on the intent and the annotated span of natural language, the plan comprising the input action object selected from a plurality of action objects that transforms the input concept object associated with the intent into the intermediate concept object, and the output action object selected from the plurality of action objects that transforms another intermediate concept object into the output concept object associated with a goal of the intent, the other intermediate concept object comprising one of a same object as the intermediate concept object and a different object from the intermediate concept object; executing the plan; and output a value associated with the output concept object associated with the user input. 17. The computer program product of claim 12 , wherein the program code further includes instructions to output a prompt, based on the plan, which requests an additional user input, wherein executing the plan is based on the additional user input.
| 0.777477 |
7,840,447 | 1 | 3 |
1. A method of providing pricing for a bundle of items to a user from a bundle search engine, comprising: providing a bundle search engine configured to collect and analyze information regarding members of a bundle submitted by a buyer; obtaining, via a first electronic interface provided by the bundle search engine, from the buyer bundle attributes for the members, the bundle attributes including criticality information representing a measure of desirability for inclusion of at least one of the members in the bundle, and including a price acceptance measure and a store choice, wherein the store choice specifies one or more acceptable stores from which the user may purchase a bundle and one or more stores which are excluded from consideration; selecting automatically, by the bundle search engine, a common one of the members based on the criticality information; identifying automatically, by the bundle search engine, sub-bundles according to the bundle attributes, the sub-bundles having alternative combinations of the members that compose the bundle, wherein each of the combinations includes the common member, and at least one of the members of the sub-bundles is not selected by the user; calculating prices automatically, by the bundle search engine, for additional versions of the bundle that include the alternative sub-bundles; configuring a second electronic interface to display the prices and the members of the additional versions of the bundle; and allowing the buyer to purchase at least one of the additional versions of the bundle via the bundle search engine.
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1. A method of providing pricing for a bundle of items to a user from a bundle search engine, comprising: providing a bundle search engine configured to collect and analyze information regarding members of a bundle submitted by a buyer; obtaining, via a first electronic interface provided by the bundle search engine, from the buyer bundle attributes for the members, the bundle attributes including criticality information representing a measure of desirability for inclusion of at least one of the members in the bundle, and including a price acceptance measure and a store choice, wherein the store choice specifies one or more acceptable stores from which the user may purchase a bundle and one or more stores which are excluded from consideration; selecting automatically, by the bundle search engine, a common one of the members based on the criticality information; identifying automatically, by the bundle search engine, sub-bundles according to the bundle attributes, the sub-bundles having alternative combinations of the members that compose the bundle, wherein each of the combinations includes the common member, and at least one of the members of the sub-bundles is not selected by the user; calculating prices automatically, by the bundle search engine, for additional versions of the bundle that include the alternative sub-bundles; configuring a second electronic interface to display the prices and the members of the additional versions of the bundle; and allowing the buyer to purchase at least one of the additional versions of the bundle via the bundle search engine. 3. The method of claim 1 , wherein the step of selecting the common member of the sub-bundles includes constraining the common member of the sub-bundles to be from one particular brand.
| 0.544335 |
8,280,872 | 1 | 2 |
1. A method comprising: receiving a posting to a forum, the posting requesting a response; extracting a keyword from the posting; retrieving a responder identifier by executing a first query with the extracted keyword as a retrieval argument of the first query, the responder identifier corresponding to a person available to provide the response; obtaining a count of keywords by executing a second query with the responder identifier as a retrieval argument of the second query, the count of keywords quantifying a number of times the keyword is included in responses provided by the person available to provide the response; identifying the person as a responder to respond to the posting based on the count of keywords; and assigning the posting to the identified person to provide the response.
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1. A method comprising: receiving a posting to a forum, the posting requesting a response; extracting a keyword from the posting; retrieving a responder identifier by executing a first query with the extracted keyword as a retrieval argument of the first query, the responder identifier corresponding to a person available to provide the response; obtaining a count of keywords by executing a second query with the responder identifier as a retrieval argument of the second query, the count of keywords quantifying a number of times the keyword is included in responses provided by the person available to provide the response; identifying the person as a responder to respond to the posting based on the count of keywords; and assigning the posting to the identified person to provide the response. 2. The method of claim 1 , wherein the extracting of the keywords includes searching a keyword dictionary for a set of exception words to ignore.
| 0.741993 |
8,121,902 | 5 | 23 |
5. A method of implementing an electronic catalog of a merchant website, the method comprising: under control of one or more computing systems of the merchant website, the one or more computing systems configured with executable instructions, causing display of, to a user of the merchant website and by the one or more computing systems, an image that illustrates an item within the electronic catalog and having an associated page; and enabling, by the one or more computing systems, the user to associate a hyperlink to the associated page with the illustrated item.
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5. A method of implementing an electronic catalog of a merchant website, the method comprising: under control of one or more computing systems of the merchant website, the one or more computing systems configured with executable instructions, causing display of, to a user of the merchant website and by the one or more computing systems, an image that illustrates an item within the electronic catalog and having an associated page; and enabling, by the one or more computing systems, the user to associate a hyperlink to the associated page with the illustrated item. 23. A method as recited in claim 5 , further comprising enabling the user to suggest one or more items to serve as alternatives to the illustrated item.
| 0.833698 |
7,702,509 | 7 | 10 |
7. A computerized method comprising: receiving an orthographical vector space comprising a vector representation of an out-of-vocabulary word and orthographic anchors for in-vocabulary words, the orthographic vector space defined by a dictionary; selecting phoneme sub-strings from the dictionary according to a closeness measure between the vector representation of the out-of-vocabulary word and the orthographic anchors for the in-vocabulary words in the orthographic vector space; and generating a pronunciation data for the out-of-vocabulary word from the selected phoneme sub-strings.
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7. A computerized method comprising: receiving an orthographical vector space comprising a vector representation of an out-of-vocabulary word and orthographic anchors for in-vocabulary words, the orthographic vector space defined by a dictionary; selecting phoneme sub-strings from the dictionary according to a closeness measure between the vector representation of the out-of-vocabulary word and the orthographic anchors for the in-vocabulary words in the orthographic vector space; and generating a pronunciation data for the out-of-vocabulary word from the selected phoneme sub-strings. 10. The computerized method of claim 7 , wherein selecting phoneme sub-strings comprises: forming an orthographic neighborhood from in-vocabulary words corresponding to orthographic anchors that satisfy the closeness measure; and creating a pronunciation data neighborhood from phoneme strings for the in-vocabulary words in the orthographic neighborhood, the phoneme strings having at least one phoneme sub-string in the dictionary.
| 0.5 |
8,255,215 | 2 | 9 |
2. The method as set forth in claim 1 , wherein the matching step includes the steps of: by using each of the keyword template traces, sequentially calculating, with respect to each trace frame, distances between (i) template feature vectors that represent the keyword template trace and (ii) the representative feature parameter vectors that represent the feature trace, the trace frame representing the feature trace on a time axis; specifying a minimum value of the distances; and specifying, as the position of the keyword, a position that a keyword template trace corresponding to the minimum value occupies in the vector space.
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2. The method as set forth in claim 1 , wherein the matching step includes the steps of: by using each of the keyword template traces, sequentially calculating, with respect to each trace frame, distances between (i) template feature vectors that represent the keyword template trace and (ii) the representative feature parameter vectors that represent the feature trace, the trace frame representing the feature trace on a time axis; specifying a minimum value of the distances; and specifying, as the position of the keyword, a position that a keyword template trace corresponding to the minimum value occupies in the vector space. 9. The method as set forth in claim 2 , wherein the codebook is obtained by the steps of: extracting, from a phonetic model based on a hidden Markov model, statistical parameters that represent states of each phonemic model and then forming a feature vector of each of the states; and forming each of the codebook vectors of the codebook by representing the feature vector of each of the states by number.
| 0.5 |
7,596,574 | 27 | 29 |
27. The method of claim 22 comprising providing a classification synthesis component for building dimensional concept taxonomies, said synthesis component defining the concept definitions and expressing the dimensional concept relationships between the concepts for the domain to be classified in accordance with the faceted data set.
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27. The method of claim 22 comprising providing a classification synthesis component for building dimensional concept taxonomies, said synthesis component defining the concept definitions and expressing the dimensional concept relationships between the concepts for the domain to be classified in accordance with the faceted data set. 29. The method of claim 27 wherein the classification synthesis component defines dimensional concept relationships in accordance with intersecting sets of the facet attributes within the concept definitions thereby to infer implicit relationships between the concepts.
| 0.620056 |
8,914,438 | 21 | 22 |
21. A non-transitory machine-readable medium carrying one or more sequences of instructions for providing a user interface in an on-demand software service environment, which instructions, when executed by one or more processors, cause the one or more processors to carry out the processes of: receiving a component request from a first client device; determining a first component definition corresponding to the component request includes a second component definition, the second component definition being at a lower level of a component definition hierarchy than the first component definition, the first component definition being associated with a first component type, and the second component definition being associated with a second component type, the first component definition and the second component definition being associated with one or more components of a user interface; determining the access to the second component definition is allowed; locating class-level definition source code for the first component definition upon the determination that access to the second component definition is allowed; identifying the first component definition within the source code; determining a language of the first component definition; determining a language of the second component definition; selecting a parser according to the language of the first component definition; parsing the source code to create the first component definition; storing the first component definition in a first registry associated with the first component type and the second component definition in a second registry associated with the second component type, wherein the first registry is selected for storing the first component definition based on a first reference to the first registry in a master registry indicating the first component type and the language of the first component definition, and the second registry is selected for storing the second component definition based on a second reference to the second registry in the master registry indicating the second component type and the language of the second component definition; and transmitting, to the first client device, an intermediate representation of the requested component, the intermediate representation allowing the first client device to create an instance of the requested component.
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21. A non-transitory machine-readable medium carrying one or more sequences of instructions for providing a user interface in an on-demand software service environment, which instructions, when executed by one or more processors, cause the one or more processors to carry out the processes of: receiving a component request from a first client device; determining a first component definition corresponding to the component request includes a second component definition, the second component definition being at a lower level of a component definition hierarchy than the first component definition, the first component definition being associated with a first component type, and the second component definition being associated with a second component type, the first component definition and the second component definition being associated with one or more components of a user interface; determining the access to the second component definition is allowed; locating class-level definition source code for the first component definition upon the determination that access to the second component definition is allowed; identifying the first component definition within the source code; determining a language of the first component definition; determining a language of the second component definition; selecting a parser according to the language of the first component definition; parsing the source code to create the first component definition; storing the first component definition in a first registry associated with the first component type and the second component definition in a second registry associated with the second component type, wherein the first registry is selected for storing the first component definition based on a first reference to the first registry in a master registry indicating the first component type and the language of the first component definition, and the second registry is selected for storing the second component definition based on a second reference to the second registry in the master registry indicating the second component type and the language of the second component definition; and transmitting, to the first client device, an intermediate representation of the requested component, the intermediate representation allowing the first client device to create an instance of the requested component. 22. The machine-readable medium of claim 21 , wherein the on-demand software service environment includes a multi-tenant database accessible to a plurality of tenants, and wherein the first client device is associated with one of the plurality of tenants.
| 0.63881 |
9,779,133 | 1 | 5 |
1. A computer-implemented method for testing Structured Query Language (SQL) queries in a software application during application development, the method comprising: executing, in a debug mode, a database-accessing software application including a main program written in a non-SQL programming language and, embedded in the main program, an SQL query, the debug mode specifying a breakpoint in the main program that is associated with the SQL query, the SQL query comprising at least one unresolved parameter having a value that is unresolved in the SQL query itself and is determinable during execution of the main program; copying the SQL query associated with the breakpoint, in response to user selection of the SQL query in a program editor upon reaching the breakpoint, from the program editor into an SQL console; and by the SQL console, resolving the at least one unresolved parameter based on the execution of the main program; by the SQL console, parsing the SQL query to extract a source part and a result part from the SQL query, and automatically determining a data type definition and data declaration based on the extracted source part and result part and identifying one or more tables accessible by the SQL query based on the source part; determining that a user has authority to access the one or more tables and, following the determination, causing execution of the SQL query, separately from the execution of the main program, by generating and causing execution of a dynamic subroutine with the determined data type definition and data declaration to thereby retrieve data from a database in accordance with the SQL query; and displaying the retrieved data to the user.
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1. A computer-implemented method for testing Structured Query Language (SQL) queries in a software application during application development, the method comprising: executing, in a debug mode, a database-accessing software application including a main program written in a non-SQL programming language and, embedded in the main program, an SQL query, the debug mode specifying a breakpoint in the main program that is associated with the SQL query, the SQL query comprising at least one unresolved parameter having a value that is unresolved in the SQL query itself and is determinable during execution of the main program; copying the SQL query associated with the breakpoint, in response to user selection of the SQL query in a program editor upon reaching the breakpoint, from the program editor into an SQL console; and by the SQL console, resolving the at least one unresolved parameter based on the execution of the main program; by the SQL console, parsing the SQL query to extract a source part and a result part from the SQL query, and automatically determining a data type definition and data declaration based on the extracted source part and result part and identifying one or more tables accessible by the SQL query based on the source part; determining that a user has authority to access the one or more tables and, following the determination, causing execution of the SQL query, separately from the execution of the main program, by generating and causing execution of a dynamic subroutine with the determined data type definition and data declaration to thereby retrieve data from a database in accordance with the SQL query; and displaying the retrieved data to the user. 5. The method of claim 1 , wherein executing the software application in debug mode comprises computing, during execution of the main program, one or more values of one or more parameters including the at least one unresolved parameter of the SQL query, and storing the computed one or more parameter values in memory allocated to execution of the main program, and wherein resolving the at least one unresolved parameter comprises accessing, by the SQL console, the memory allocated to execution of the main program to retrieve the value of the at least one unresolved parameter therefrom.
| 0.5 |
8,170,969 | 2 | 3 |
2. The method according to claim 1 , further comprising ordering the pairs of the named entities as a second function of the pair semantic similarity score value calculated for each pair to provide a rank list for each classifier.
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2. The method according to claim 1 , further comprising ordering the pairs of the named entities as a second function of the pair semantic similarity score value calculated for each pair to provide a rank list for each classifier. 3. The method of claim 2 , wherein said calculating the overall semantic pair similarity score value for a respective pair of the named entities uses an arithmetic mean of ranks of the respective pair of the named entities in rank lists obtained by said ordering.
| 0.5 |
9,286,290 | 16 | 17 |
16. The computer program product of claim 11 , wherein the insight statement is output to a natural language processing mechanism which processes the insight statement in association with the table data structure.
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16. The computer program product of claim 11 , wherein the insight statement is output to a natural language processing mechanism which processes the insight statement in association with the table data structure. 17. The computer program product of claim 16 , wherein the natural language processing mechanism is part of a question and answer system, and wherein the question and answer system performs natural language processing on the insight statement when generating candidate answers to an input question.
| 0.5 |
8,103,499 | 2 | 3 |
2. A computer-driven process to facilitate user entry of logographic Chinese text, comprising operations of: receiving user entry of an ordered sequence of key presses representing an intended series of letters collectively spelling-out a sequence of one or more entries occurring in a predetermined dictionary, where each dictionary entry represents the phonetic spelling of one or more of the following items according to a predetermined system for phonetically representing logographic Chinese text: a Chinese character, a set of multiple Chinese characters, a radical or other grouping of multiple Character strokes; where user intention as to the intended series of letters is ambiguous because some or all of the key presses represent multiple phonetic letters; interpreting the sequence of key presses by allocating key presses in the sequence into contiguous segments such that letters of each segment's key presses spell a entry occurring in the dictionary, where a segment being appended by new key presses is a current segment, and where a next-earlier segment to the current segment in the sequence forms a previous segment; where the interpreting operation comprises: responsive to each new key press, determining whether if the new key press were to be appended to a trailing end of the current segment to form a new segment, letters of key presses of the new segment would by spell out any entries recognized by the dictionary; if the determining operation succeeds, presenting an output of one or more of the entries spelled out by the key presses of the new segment, and deeming the new segment to be the current segment; if the determining operation fails, appending the new key press to a trailing end of the current segment and attempting to shift key presses from a trailing end of the previous segment to a leading end of the current segment until letters of the key presses of both the current segment and the previous segment spell out respective entries occurring in the dictionary; limiting performance of said attempt to shift key presses to the current segment and the previous segment, and leaving intact all segments occurring earlier than the previous segment in the sequence of key presses; if said attempt to shift key presses succeeds, presenting an output of one or more of said entries spelled out by the key presses of the previous segment as shifted and the current segment as shifted; presenting an output of logographic Chinese text represented by one or more entries spelled by key presses of the segments into to which the sequence of key presses have been allocated.
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2. A computer-driven process to facilitate user entry of logographic Chinese text, comprising operations of: receiving user entry of an ordered sequence of key presses representing an intended series of letters collectively spelling-out a sequence of one or more entries occurring in a predetermined dictionary, where each dictionary entry represents the phonetic spelling of one or more of the following items according to a predetermined system for phonetically representing logographic Chinese text: a Chinese character, a set of multiple Chinese characters, a radical or other grouping of multiple Character strokes; where user intention as to the intended series of letters is ambiguous because some or all of the key presses represent multiple phonetic letters; interpreting the sequence of key presses by allocating key presses in the sequence into contiguous segments such that letters of each segment's key presses spell a entry occurring in the dictionary, where a segment being appended by new key presses is a current segment, and where a next-earlier segment to the current segment in the sequence forms a previous segment; where the interpreting operation comprises: responsive to each new key press, determining whether if the new key press were to be appended to a trailing end of the current segment to form a new segment, letters of key presses of the new segment would by spell out any entries recognized by the dictionary; if the determining operation succeeds, presenting an output of one or more of the entries spelled out by the key presses of the new segment, and deeming the new segment to be the current segment; if the determining operation fails, appending the new key press to a trailing end of the current segment and attempting to shift key presses from a trailing end of the previous segment to a leading end of the current segment until letters of the key presses of both the current segment and the previous segment spell out respective entries occurring in the dictionary; limiting performance of said attempt to shift key presses to the current segment and the previous segment, and leaving intact all segments occurring earlier than the previous segment in the sequence of key presses; if said attempt to shift key presses succeeds, presenting an output of one or more of said entries spelled out by the key presses of the previous segment as shifted and the current segment as shifted; presenting an output of logographic Chinese text represented by one or more entries spelled by key presses of the segments into to which the sequence of key presses have been allocated. 3. The process of claim 2 , where: said operation of, if the determining operation succeeds, presenting an output of one or more of the entries spelled out by the key presses of the new segment, further comprises: if multiple entries are spelled out, evaluating the multiple entries against predetermined criteria as to use history to identify a preferred entry, and limiting the presented output to the preferred entry; said operation of, if said attempt to shift key presses succeeds, presenting an output of one or more of said entries spelled out by the key presses of the previous segment as shifted and the current segment as shifted, further comprises: if multiple entries are spelled out, evaluating the multiple entries against predetermined criteria as to use history to identify a preferred entry, and limiting the presented output to the preferred entry.
| 0.639467 |
9,063,653 | 5 | 9 |
5. The method of claim 1 , further comprising determining the typing confidence based at least on the strength of one or more touches associated with the input character string.
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5. The method of claim 1 , further comprising determining the typing confidence based at least on the strength of one or more touches associated with the input character string. 9. The method of claim 5 , wherein the typing speed comprises the average typing speed across a predetermined number of most recently typed characters.
| 0.578212 |
9,710,459 | 1 | 8 |
1. A computer-implemented method for communication monitoring based on sentiment, comprising: monitoring a new communication prior to sending created by a sender to a recipient, wherein the new communication comprises text input by the sender; analyzing the text of the new communication using sentiment analysis and determining a sentiment score on a scale between negative sentiment and positive sentiment; referencing an overall relationship score based on past communications between the sender and the recipient in response to the sentiment score for the text of the new communication being on a negative side of a first predefined threshold on the scale; holding a transmission of the new communication or activating another action in response to the overall relationship score being on the negative side of a second predefined threshold; and sending a notification to at least one of the sender or a supervisor of the sender in response to the overall relationship score being on the negative side of the second predefined threshold.
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1. A computer-implemented method for communication monitoring based on sentiment, comprising: monitoring a new communication prior to sending created by a sender to a recipient, wherein the new communication comprises text input by the sender; analyzing the text of the new communication using sentiment analysis and determining a sentiment score on a scale between negative sentiment and positive sentiment; referencing an overall relationship score based on past communications between the sender and the recipient in response to the sentiment score for the text of the new communication being on a negative side of a first predefined threshold on the scale; holding a transmission of the new communication or activating another action in response to the overall relationship score being on the negative side of a second predefined threshold; and sending a notification to at least one of the sender or a supervisor of the sender in response to the overall relationship score being on the negative side of the second predefined threshold. 8. The method as claimed in claim 1 , further comprising: selecting a signature for the communication from a plurality of signatures each having a different sentiment, wherein the selection is based on the sentiment score of the new communication.
| 0.695813 |
9,690,549 | 2 | 3 |
2. The method of claim 1 , wherein the modified screenshot is a first modified screenshot, wherein the method further comprises: after modifying the screenshot to provide the first modified screenshot, receiving user input of a new second text string for the second text field; responsive to receiving user input of the new second text string, updating the second module of the text mapping file to replace the original second text string of the second text field for the GUI screen with the new second text string of the second text field for the GUI screen; and responsive to receiving user input of the new second text string, modifying the first modified screenshot of the GUI screen to provide a second modified screenshot for the software product for display on the display wherein the second modified screenshot includes the first text field with the new first text string from first module of the text mapping file and the second text field with the new second text string for the GUI screen from the second module of the text mapping file, wherein the second modified screenshot of the GUI screen including the first text field with the new first text string and the second text field with the new second text string for the GUI screen replaces the first modified screenshot of the GUI screen on the display; wherein providing the second resource file includes generating the second resource file to include the new first text string for the first text field and the new second text string for the second text field of the GUI screen.
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2. The method of claim 1 , wherein the modified screenshot is a first modified screenshot, wherein the method further comprises: after modifying the screenshot to provide the first modified screenshot, receiving user input of a new second text string for the second text field; responsive to receiving user input of the new second text string, updating the second module of the text mapping file to replace the original second text string of the second text field for the GUI screen with the new second text string of the second text field for the GUI screen; and responsive to receiving user input of the new second text string, modifying the first modified screenshot of the GUI screen to provide a second modified screenshot for the software product for display on the display wherein the second modified screenshot includes the first text field with the new first text string from first module of the text mapping file and the second text field with the new second text string for the GUI screen from the second module of the text mapping file, wherein the second modified screenshot of the GUI screen including the first text field with the new first text string and the second text field with the new second text string for the GUI screen replaces the first modified screenshot of the GUI screen on the display; wherein providing the second resource file includes generating the second resource file to include the new first text string for the first text field and the new second text string for the second text field of the GUI screen. 3. The method of claim 2 wherein the second resource file includes the new first text string without the first unique text string identifier and wherein the second resource file includes the second new text string without the second unique text string identifier.
| 0.657552 |
10,073,830 | 14 | 20 |
14. A method comprising: receiving a feeling classification request from an application executing on a client device, feeling classification request comprising text data elements; in response, generating and transmitting a feeling classification response by: determining grammatical and semantic structure of the set of text data elements using a reverse sentence reconstruct (RSR) utility; generating sentence vectorization technique (SVT) models using a SVT utility; storing the SVT models, a labelled text corpus and a slang and spelling dictionary; generating a syntactic text tree with the text data elements using a parsing component of the RSR utility; and classifying feeling of the text data elements in the syntactic text tree using a classification component of the RSR utility.
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14. A method comprising: receiving a feeling classification request from an application executing on a client device, feeling classification request comprising text data elements; in response, generating and transmitting a feeling classification response by: determining grammatical and semantic structure of the set of text data elements using a reverse sentence reconstruct (RSR) utility; generating sentence vectorization technique (SVT) models using a SVT utility; storing the SVT models, a labelled text corpus and a slang and spelling dictionary; generating a syntactic text tree with the text data elements using a parsing component of the RSR utility; and classifying feeling of the text data elements in the syntactic text tree using a classification component of the RSR utility. 20. The method of claim 14 , further comprising, as enhancement, obtaining the syntactic text tree, storing and re-labeling the syntactic text tree and updating the labelled text corpus.
| 0.927059 |
8,185,589 | 1 | 2 |
1. At a computer system, a method for performing an electronic mail conversation operation, the method comprising: an act of receiving an indication from a user that an ignore operation is to be performed on both a received electronic mail message and a corresponding electronic mail conversation, such that the received message and any electronic mail messages determined to be part of the conversation are to be ignored; an act of identifying one or more electronic mail messages included in an electronic mail conversation item that represents the electronic mail conversation, the identifying including scanning each of the folders in a user's mailbox for electronic mail messages that are related by subject to the received electronic mail message, wherein scanning includes scanning for both previously sent messages in a sent items folder and scanning for previously received messages in at least one other mailbox folder, the electronic mail conversation item including a plurality of conversation attribute values that represent the attributes of the electronic mail conversation including an identification of each message associated with the conversation and corresponding one or more participants of each message and a recipient delta field identifying a list of entities that were added or removed from each message that has been identified as being associated with the conversation, and wherein the electronic mail conversation item is responsively updated whenever any electronic mail message corresponding to the electronic mail conversation is received, and by at least updating the conversation attribute values to ensure that every participant and received message corresponding to the electronic mail conversation is reflected in the electronic mail conversation item; an act of accessing the identified one or more electronic mail messages included in the electronic mail conversation; an act of performing the ignore operation on each of the identified one or more electronic mail messages, such that the received electronic mail message, any previously sent or received email messages and any subsequently sent or received electronic mail messages identified by the scan as part of the conversation are moved to an ignored conversations folder; and an act of displaying the electronic mail conversation including the conversation's corresponding messages, the displayed conversation including the following in a single application window: a topic header, at least a portion of each message contributed to the conversation including an indication of who sent the message, each message including a URL link to any additional message body text, a participant change indication proximally placed next to each message where a participant was added or removed from the conversation including an identification of the participant who was added or removed, a number of messages indicator indicating the number of messages in the conversation, a timespan indicator indicating how long the conversation has existed, an active participants indicator indicating the participants that have contributed to the conversation and a most active participant indicator indicating the conversation participant that has contributed the most number of messages to the conversation.
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1. At a computer system, a method for performing an electronic mail conversation operation, the method comprising: an act of receiving an indication from a user that an ignore operation is to be performed on both a received electronic mail message and a corresponding electronic mail conversation, such that the received message and any electronic mail messages determined to be part of the conversation are to be ignored; an act of identifying one or more electronic mail messages included in an electronic mail conversation item that represents the electronic mail conversation, the identifying including scanning each of the folders in a user's mailbox for electronic mail messages that are related by subject to the received electronic mail message, wherein scanning includes scanning for both previously sent messages in a sent items folder and scanning for previously received messages in at least one other mailbox folder, the electronic mail conversation item including a plurality of conversation attribute values that represent the attributes of the electronic mail conversation including an identification of each message associated with the conversation and corresponding one or more participants of each message and a recipient delta field identifying a list of entities that were added or removed from each message that has been identified as being associated with the conversation, and wherein the electronic mail conversation item is responsively updated whenever any electronic mail message corresponding to the electronic mail conversation is received, and by at least updating the conversation attribute values to ensure that every participant and received message corresponding to the electronic mail conversation is reflected in the electronic mail conversation item; an act of accessing the identified one or more electronic mail messages included in the electronic mail conversation; an act of performing the ignore operation on each of the identified one or more electronic mail messages, such that the received electronic mail message, any previously sent or received email messages and any subsequently sent or received electronic mail messages identified by the scan as part of the conversation are moved to an ignored conversations folder; and an act of displaying the electronic mail conversation including the conversation's corresponding messages, the displayed conversation including the following in a single application window: a topic header, at least a portion of each message contributed to the conversation including an indication of who sent the message, each message including a URL link to any additional message body text, a participant change indication proximally placed next to each message where a participant was added or removed from the conversation including an identification of the participant who was added or removed, a number of messages indicator indicating the number of messages in the conversation, a timespan indicator indicating how long the conversation has existed, an active participants indicator indicating the participants that have contributed to the conversation and a most active participant indicator indicating the conversation participant that has contributed the most number of messages to the conversation. 2. The method as recited in claim 1 , wherein the act of receiving an indication that an operation is to be performed on an electronic mail conversation comprise an act of receiving an electronic mail message.
| 0.660714 |
5,388,195 | 1 | 3 |
1. An image processing system with editing functions for editing and outputting image information obtained by reading a manuscript, and for performing edit processing on said image information to give editing content to an editing area of said manuscript, comprising: image processing means for performing said edit processing based on an edit instruction that relates both to said editing area and said editing content, and for outputting corrected image information; input means for supplying said edit instruction including said editing area and said editing content and for supplying a correction of said edit instruction; display means for displaying said editing area of said edit instruction overlapped on said manuscript image information and for displaying said editing content, and information relating to correction when the editing area of the manuscript image information is being corrected; and edit processing means for receiving said edit instruction supplied from said input means, for processing an input correction of said edit instruction, for performing display control of said display screen and for supplying said edit instruction with the correction to said image processing means, wherein said display means displays a corrected editing area overlapped on said image information in a selected condition and displays said corrected editing area in a display mode different from that of the originally displayed said editing area; and said display means displays editing content of said edit instruction and the correction of the editing content in an area where said corrected editing area is not displayed, and the editing content and the correction of the editing content are displayed only for a given period of time.
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1. An image processing system with editing functions for editing and outputting image information obtained by reading a manuscript, and for performing edit processing on said image information to give editing content to an editing area of said manuscript, comprising: image processing means for performing said edit processing based on an edit instruction that relates both to said editing area and said editing content, and for outputting corrected image information; input means for supplying said edit instruction including said editing area and said editing content and for supplying a correction of said edit instruction; display means for displaying said editing area of said edit instruction overlapped on said manuscript image information and for displaying said editing content, and information relating to correction when the editing area of the manuscript image information is being corrected; and edit processing means for receiving said edit instruction supplied from said input means, for processing an input correction of said edit instruction, for performing display control of said display screen and for supplying said edit instruction with the correction to said image processing means, wherein said display means displays a corrected editing area overlapped on said image information in a selected condition and displays said corrected editing area in a display mode different from that of the originally displayed said editing area; and said display means displays editing content of said edit instruction and the correction of the editing content in an area where said corrected editing area is not displayed, and the editing content and the correction of the editing content are displayed only for a given period of time. 3. An image processing system according to claim 1, wherein said display means comprises a bit map display for displaying said manuscript image information having said corrected editing area overlapped on said manuscript image information and a character display for displaying numerical values and characters, and the amount of correction of said corrected editing area is displayed on said character display.
| 0.5 |
9,031,944 | 2 | 3 |
2. A computer-implemented method for providing multi-core topic indexing in electronically-stored social indexes, comprising: accessing a corpus of articles each comprised of online textual materials and a tree of topics; providing a finite state pattern for each topic, each finite state pattern defining a fine-grained topic model that is used to identify the articles that are potentially on-topic; providing on-topic training examples and off-topic training examples from the articles for each topic; defining one or more of distinct core meanings for the topic by assigning at least one of the on-topic training examples and the off-topic training examples; obtaining a set of an average on-topic articles, comprising: providing a set of random training examples from the corpus; matching the set of random training examples to the finite state pattern for the topic; eliminating an article in the set of random training examples that is similar to the off-topic training examples; and adding the on-topic training examples into the set of the random training examples; defining an average on-topic core meaning based on the set of average on-topic articles; specifying characteristic words for each of the on-topic training examples, off-topic training examples, and the set of average on-topic articles; assigning scores to the characteristic words that were specified for the on-topic training examples, off-topic training examples, and the set of average on-topic articles; specifying on-topic characteristic word term vectors, each on-topic characteristic word term vector comprising the scores of the characteristic words that were specified for each topic for each of the on-topic training examples; specifying off-topic characteristic word term vectors, each off-topic characteristic word term vector comprising the scores of the characteristic words that were specified for each topic for each of the off-topic training examples; specifying average on-topic characteristic word term vectors, each average on-topic characteristic word term vector comprising the scores of the characteristic words that were specified for each topic for the set of average on-topic articles; obtaining a new article; matching the new article to the finite state pattern of each of the topics and designating the new article as a candidate article for each topic to which the finite state pattern was matched; specifying characteristic words extracted from the candidate article; assigning candidate article scores to the characteristic words of the candidate article; comparing the candidate article scores to the off-topic characteristic word term vectors of each topic and forming an off-topic score for each topic; discarding the candidate article as off-topic for each topic in which the off-topic score for that topic exceeds an off-topic threshold; comparing the candidate article scores to the on-topic characteristic word term vectors and the average on-topic characteristic word term vectors of each topic and forming an on-topic score for each topic and selecting only the candidate articles as candidate on-topic articles which the on-topic score for that topic exceeds an on-topic threshold; and presenting the candidate on-topic articles.
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2. A computer-implemented method for providing multi-core topic indexing in electronically-stored social indexes, comprising: accessing a corpus of articles each comprised of online textual materials and a tree of topics; providing a finite state pattern for each topic, each finite state pattern defining a fine-grained topic model that is used to identify the articles that are potentially on-topic; providing on-topic training examples and off-topic training examples from the articles for each topic; defining one or more of distinct core meanings for the topic by assigning at least one of the on-topic training examples and the off-topic training examples; obtaining a set of an average on-topic articles, comprising: providing a set of random training examples from the corpus; matching the set of random training examples to the finite state pattern for the topic; eliminating an article in the set of random training examples that is similar to the off-topic training examples; and adding the on-topic training examples into the set of the random training examples; defining an average on-topic core meaning based on the set of average on-topic articles; specifying characteristic words for each of the on-topic training examples, off-topic training examples, and the set of average on-topic articles; assigning scores to the characteristic words that were specified for the on-topic training examples, off-topic training examples, and the set of average on-topic articles; specifying on-topic characteristic word term vectors, each on-topic characteristic word term vector comprising the scores of the characteristic words that were specified for each topic for each of the on-topic training examples; specifying off-topic characteristic word term vectors, each off-topic characteristic word term vector comprising the scores of the characteristic words that were specified for each topic for each of the off-topic training examples; specifying average on-topic characteristic word term vectors, each average on-topic characteristic word term vector comprising the scores of the characteristic words that were specified for each topic for the set of average on-topic articles; obtaining a new article; matching the new article to the finite state pattern of each of the topics and designating the new article as a candidate article for each topic to which the finite state pattern was matched; specifying characteristic words extracted from the candidate article; assigning candidate article scores to the characteristic words of the candidate article; comparing the candidate article scores to the off-topic characteristic word term vectors of each topic and forming an off-topic score for each topic; discarding the candidate article as off-topic for each topic in which the off-topic score for that topic exceeds an off-topic threshold; comparing the candidate article scores to the on-topic characteristic word term vectors and the average on-topic characteristic word term vectors of each topic and forming an on-topic score for each topic and selecting only the candidate articles as candidate on-topic articles which the on-topic score for that topic exceeds an on-topic threshold; and presenting the candidate on-topic articles. 3. A computer-implemented method according to claim 2 , further comprising at least one of: automatically generating the finite state pattern based on the on-topic and the off-topic training examples; generating the finite state pattern through evaluation of default patterns; suggesting the finite state pattern to the user based on an evaluation of the articles in the topic; and designating the finite state pattern as a discrete Boolean query specified by a user.
| 0.619086 |
9,836,524 | 3 | 4 |
3. The method of claim 1 , wherein determining the similarity among the corresponding field values of the database records comprises: assigning a hyperspace attribute to each database record, wherein the hyperspace attribute corresponding to two database records is correlated with a similarity of the corresponding field values of the two database records; determining membership of each database record in a plurality of hyperspace clusters based at least in part on the hyperspace attributes; assigning, to each record, a cluster ID and a match value reflecting a likelihood that the record is a member of a particular hyperspace cluster; and linking related records based at least in part on the cluster ID and the match value.
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3. The method of claim 1 , wherein determining the similarity among the corresponding field values of the database records comprises: assigning a hyperspace attribute to each database record, wherein the hyperspace attribute corresponding to two database records is correlated with a similarity of the corresponding field values of the two database records; determining membership of each database record in a plurality of hyperspace clusters based at least in part on the hyperspace attributes; assigning, to each record, a cluster ID and a match value reflecting a likelihood that the record is a member of a particular hyperspace cluster; and linking related records based at least in part on the cluster ID and the match value. 4. The method of claim 3 , further comprising: merging database records having hyperspace attribute differences within a predefined criteria to eliminate similar exemplars that are likely to represent a same entity, the merging resulting in a reduced set of database records; recalculating the field value weights for the reduced set of database records; and re-clustering the reduced set of records based at least in part on the recalculated field value weights.
| 0.5 |
9,208,187 | 11 | 13 |
11. A computing system comprising: database system software stored on a non-transitory data storage medium for execution by at least one server of a database hardware system implementing a social networking system, the database system software operable to cause: processing, using the database system, information indicating a request from a requesting user to generate an information feed of the social networking system according to configuration information customized by the requesting user, the configuration information stored as at least one data object in the database system and identifying an information source, the identified information source being a designated one of a plurality of records stored in the database system and having a plurality of associated updates, each update having an associated one or more of a plurality of update types, the configuration information including an indication that the requesting user is following the identified information source, the configuration information identifying for the identified information source a first one or more update types for inclusion in the information feed and a second one or more update types for exclusion from the information feed; selecting, using the database system, a first one or more of the plurality of updates associated with the first one or more update types, the first one or more updates being selected using a multi-tenant database of the database system, the multi-tenant database being accessible to a plurality of entities; excluding, using the database system, a second one or more of the plurality of updates as being associated with the second one or more update types; generating, using the database system, the requested information feed, the generated information feed including the first one or more updates as feed items and omitting the second one or more updates from being feed items and providing the generated information feed to a user device for display on a display device.
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11. A computing system comprising: database system software stored on a non-transitory data storage medium for execution by at least one server of a database hardware system implementing a social networking system, the database system software operable to cause: processing, using the database system, information indicating a request from a requesting user to generate an information feed of the social networking system according to configuration information customized by the requesting user, the configuration information stored as at least one data object in the database system and identifying an information source, the identified information source being a designated one of a plurality of records stored in the database system and having a plurality of associated updates, each update having an associated one or more of a plurality of update types, the configuration information including an indication that the requesting user is following the identified information source, the configuration information identifying for the identified information source a first one or more update types for inclusion in the information feed and a second one or more update types for exclusion from the information feed; selecting, using the database system, a first one or more of the plurality of updates associated with the first one or more update types, the first one or more updates being selected using a multi-tenant database of the database system, the multi-tenant database being accessible to a plurality of entities; excluding, using the database system, a second one or more of the plurality of updates as being associated with the second one or more update types; generating, using the database system, the requested information feed, the generated information feed including the first one or more updates as feed items and omitting the second one or more updates from being feed items and providing the generated information feed to a user device for display on a display device. 13. The computing system recited in claim 11 , wherein the first one or more update types identified for inclusion in the information feed includes a response to a comment posted in the social networking system.
| 0.562241 |
7,735,144 | 13 | 23 |
13. A computer readable storage device storing a computer program which, when executed by a computer processor, causes the computer processor to perform operations comprising: reading an electronic document, the electronic document comprising content rules, an existing signed state, and existing content items; authenticating the electronic document one or more times, each authenticating comprising: classifying the existing content items of the electronic document into existing invariant content items and existing modifiable content items, according to the content rules; receiving one or more user actions for one or more of the existing content items; determining whether the one or more user actions are permitted by the content rules; reclassifying one or more existing modifiable content items into new invariant content items in response to the one or more user actions; generating an object digest for an aggregation of the existing invariant content items and the new invariant content items, wherein the aggregation includes a simple content item, a semi-complex content item and a complex content item, and the object digest is generated by digesting the existing invariant content items and the new invariant content items according to their complexity and generating the object digest includes ignoring one or more existing modifiable content items in the electronic document that are not reclassified into new invariant content items; generating a saved state of the electronic document; and adding a new signed state to the electronic document, the new signed state comprising the object digest, the saved state, and an electronic signature.
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13. A computer readable storage device storing a computer program which, when executed by a computer processor, causes the computer processor to perform operations comprising: reading an electronic document, the electronic document comprising content rules, an existing signed state, and existing content items; authenticating the electronic document one or more times, each authenticating comprising: classifying the existing content items of the electronic document into existing invariant content items and existing modifiable content items, according to the content rules; receiving one or more user actions for one or more of the existing content items; determining whether the one or more user actions are permitted by the content rules; reclassifying one or more existing modifiable content items into new invariant content items in response to the one or more user actions; generating an object digest for an aggregation of the existing invariant content items and the new invariant content items, wherein the aggregation includes a simple content item, a semi-complex content item and a complex content item, and the object digest is generated by digesting the existing invariant content items and the new invariant content items according to their complexity and generating the object digest includes ignoring one or more existing modifiable content items in the electronic document that are not reclassified into new invariant content items; generating a saved state of the electronic document; and adding a new signed state to the electronic document, the new signed state comprising the object digest, the saved state, and an electronic signature. 23. The storage device of claim 13 , wherein the semi-complex content item is a form field.
| 0.936541 |
10,069,777 | 8 | 9 |
8. A system for determining a visibility of an online conversation for a new participant, the system comprising: a processor; a presenting engine to, when executed by the processor, present a user interface (UI) to a group of users to allow each of the users in the group of users to specify and assign tags to initial participants associated with the online conversation, the tags defining relationships between each of the users; an initial participant determining engine to, when executed by the processor, determine initial participants from the group of users engaged in an online conversation initiated by at least one of the initial participants on a social network; a tag identifying engine to, when executed by the processor, identify the tags assigned to each of the initial participants associated with the online conversation by at least one of the users in the group of users; a subject identifying engine to, when executed by the processor, identify, based on the tags defining the relationships between each of the users, a subject for the online conversation with respect to each of the initial participants of the online conversation; a visibility determining engine to, when executed by the processor, determine, based on the subject, a visibility of the online conversation for a new participant from the group of users; and a monitoring engine to, when executed by a processor, monitor the online conversation on the social network; in which the visibility is further based on a strict mode, the strict mode allowing the new participant to access the online conversation if at least one of the tags from all of the initial participants for the new participant matches the subject of the online conversation.
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8. A system for determining a visibility of an online conversation for a new participant, the system comprising: a processor; a presenting engine to, when executed by the processor, present a user interface (UI) to a group of users to allow each of the users in the group of users to specify and assign tags to initial participants associated with the online conversation, the tags defining relationships between each of the users; an initial participant determining engine to, when executed by the processor, determine initial participants from the group of users engaged in an online conversation initiated by at least one of the initial participants on a social network; a tag identifying engine to, when executed by the processor, identify the tags assigned to each of the initial participants associated with the online conversation by at least one of the users in the group of users; a subject identifying engine to, when executed by the processor, identify, based on the tags defining the relationships between each of the users, a subject for the online conversation with respect to each of the initial participants of the online conversation; a visibility determining engine to, when executed by the processor, determine, based on the subject, a visibility of the online conversation for a new participant from the group of users; and a monitoring engine to, when executed by a processor, monitor the online conversation on the social network; in which the visibility is further based on a strict mode, the strict mode allowing the new participant to access the online conversation if at least one of the tags from all of the initial participants for the new participant matches the subject of the online conversation. 9. The system of claim 8 , in which the visibility comprises permitting the new participant to access the online conversation, restricting the new participant from accessing the online conversation, or reprioritizing the online conversation for the new participant.
| 0.565574 |
5,526,475 | 12 | 13 |
12. A computer-based method for performing live symbolic mathematical operations in a mathematical document editor, said mathematical document editor capable of editing and processing a mathematical document and controlled by a computer having a screen capable of displaying the mathematical document, the method comprising the steps of: providing a symbolic evaluation operator signifying that a mathematical expression is to be evaluated symbolically; enabling a user to place mathematical expressions in standard mathematical form at any position on the mathematical document, a subset of the mathematical expressions comprising the symbolic evaluation operator; maintaining a dependency graph so that the dependency graph continuously represents mathematical dependencies between the mathematical expressions in the mathematical document, the dependency graph including a plurality of nodes, each node representing in symbolic form an expression in the mathematical document; symbolically evaluating each mathematical expression in the mathematical document that includes the symbolic evaluation operator; displaying in the mathematical document results of the symbolic evaluation of each mathematical expression evaluated at the previous step; enabling the user to edit one or more mathematical expressions in the mathematical document; automatically updating the mathematical document whenever a mathematical expression is edited by the user, said automatically updating step including the substeps of: (a) automatically updating the dependency graph to include the edited one or more mathematical expressions, (b) utilizing the dependency graph to determine all mathematical expressions with the symbolic evaluation operator that depend upon the edited one or more mathematical expressions, (c) utilizing the dependency graph to determine all mathematical expressions on which the mathematical expressions with the symbolic evaluation operator determined at substep (b) depend, and (d) passing to the symbolic algebra engine for symbolic evaluation the edited one or more mathematical expressions the mathematical expressions with the symbolic evaluation operator determined at substep (b) and the mathematical expressions determined at substep (c); and redisplaying mathematical document as automatically updated in the previous step.
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12. A computer-based method for performing live symbolic mathematical operations in a mathematical document editor, said mathematical document editor capable of editing and processing a mathematical document and controlled by a computer having a screen capable of displaying the mathematical document, the method comprising the steps of: providing a symbolic evaluation operator signifying that a mathematical expression is to be evaluated symbolically; enabling a user to place mathematical expressions in standard mathematical form at any position on the mathematical document, a subset of the mathematical expressions comprising the symbolic evaluation operator; maintaining a dependency graph so that the dependency graph continuously represents mathematical dependencies between the mathematical expressions in the mathematical document, the dependency graph including a plurality of nodes, each node representing in symbolic form an expression in the mathematical document; symbolically evaluating each mathematical expression in the mathematical document that includes the symbolic evaluation operator; displaying in the mathematical document results of the symbolic evaluation of each mathematical expression evaluated at the previous step; enabling the user to edit one or more mathematical expressions in the mathematical document; automatically updating the mathematical document whenever a mathematical expression is edited by the user, said automatically updating step including the substeps of: (a) automatically updating the dependency graph to include the edited one or more mathematical expressions, (b) utilizing the dependency graph to determine all mathematical expressions with the symbolic evaluation operator that depend upon the edited one or more mathematical expressions, (c) utilizing the dependency graph to determine all mathematical expressions on which the mathematical expressions with the symbolic evaluation operator determined at substep (b) depend, and (d) passing to the symbolic algebra engine for symbolic evaluation the edited one or more mathematical expressions the mathematical expressions with the symbolic evaluation operator determined at substep (b) and the mathematical expressions determined at substep (c); and redisplaying mathematical document as automatically updated in the previous step. 13. The method of claim 12 wherein the step of editing one or more mathematical expressions in the mathematical document comprises the step of modifying a mathematical expression in the mathematical document.
| 0.5 |
8,688,620 | 1 | 10 |
1. A method of anomaly detection in data centers, comprising: analyzing time series data for the data center by testing statistical hypotheses corresponding to different operational states of the data center; constructing upper and lower bounds based on the statistical hypotheses; and flagging anomalies in the time series data falling outside of the upper and lower bounds.
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1. A method of anomaly detection in data centers, comprising: analyzing time series data for the data center by testing statistical hypotheses corresponding to different operational states of the data center; constructing upper and lower bounds based on the statistical hypotheses; and flagging anomalies in the time series data falling outside of the upper and lower bounds. 10. The method of claim 1 , further comprising contextualizing the time series data to factor changing load on the data center.
| 0.612805 |
7,921,106 | 1 | 5 |
1. A computer-implemented apparatus that enhances search result listings, comprising: a processor operatively coupled to a computer readable medium having stored thereon the following computer executable components: an attribute value ranking component comprising a search engine search result list sorted by search results rank, and further sorted by attribute value as a primary sort and rank as a secondary sort, wherein an attribute value rank is calculated for each of the attribute values; grouped search results comprising the search result list resorted by the calculated attribute value ranks, and further resorted by the attribute values, and still further resorted by the search results rank; a search result display component that provides search result groupings based on the group-by ranking for interaction with a user; and computer-readable storage medium comprising data structures and code for causing a computer to execute the attribute value ranking and search result display components, wherein the object oriented search result list references a plurality of information pages each comprising an object block representing an object classified as an object type having attributes for which the object block contains elements identified as attribute values, wherein the attribute pertains to a source of a respective information page.
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1. A computer-implemented apparatus that enhances search result listings, comprising: a processor operatively coupled to a computer readable medium having stored thereon the following computer executable components: an attribute value ranking component comprising a search engine search result list sorted by search results rank, and further sorted by attribute value as a primary sort and rank as a secondary sort, wherein an attribute value rank is calculated for each of the attribute values; grouped search results comprising the search result list resorted by the calculated attribute value ranks, and further resorted by the attribute values, and still further resorted by the search results rank; a search result display component that provides search result groupings based on the group-by ranking for interaction with a user; and computer-readable storage medium comprising data structures and code for causing a computer to execute the attribute value ranking and search result display components, wherein the object oriented search result list references a plurality of information pages each comprising an object block representing an object classified as an object type having attributes for which the object block contains elements identified as attribute values, wherein the attribute pertains to a source of a respective information page. 5. The computer-implemented apparatus of claim 1 , wherein the attribute value ranking component employs an object oriented ranking process in providing the group-by ranking.
| 0.581731 |
8,768,706 | 6 | 10 |
6. The method of claim 1 , further comprising: (D) modifying an emphasis of the region of the spoken audio stream in accordance with the emphasis factor to produce an emphasis-adjusted audio stream.
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6. The method of claim 1 , further comprising: (D) modifying an emphasis of the region of the spoken audio stream in accordance with the emphasis factor to produce an emphasis-adjusted audio stream. 10. The method of claim 6 , further comprising: (E) modifying an emphasis of a region adjacent to the region of the spoken audio stream by an amount less than that specified by the emphasis factor.
| 0.5 |
8,078,452 | 1 | 10 |
1. A computer implemented method for identifying phrasal terms, the method comprising: receiving a text having a plurality of words using a processing system; determining a plurality of contexts using the processing system, wherein a context comprises one or more words proximate to another word in the text; for each context, determining a first frequency using the processing system based on a number of occurrences of the context within the text; assigning a first rank to at least one context using the processing system based on the first frequency for the at least one context; determining multiple word-context pairs using the processing system; for each word-context pair, determining a second frequency using the processing system based on a number of occurrences of the word associated with the word-context pair being used in the context; assigning a second rank to at least one word-context pair using the processing system based on the second frequency for the at least one word-context pair; determining a rank ratio for each word-context pair based on the first rank and the second rank associated with the word-context pair using the processing system; determining a mutual rank ratio using the processing system based on multiple rank ratios; and identifying a phrasal term using the processing system based on the mutual rank ratio.
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1. A computer implemented method for identifying phrasal terms, the method comprising: receiving a text having a plurality of words using a processing system; determining a plurality of contexts using the processing system, wherein a context comprises one or more words proximate to another word in the text; for each context, determining a first frequency using the processing system based on a number of occurrences of the context within the text; assigning a first rank to at least one context using the processing system based on the first frequency for the at least one context; determining multiple word-context pairs using the processing system; for each word-context pair, determining a second frequency using the processing system based on a number of occurrences of the word associated with the word-context pair being used in the context; assigning a second rank to at least one word-context pair using the processing system based on the second frequency for the at least one word-context pair; determining a rank ratio for each word-context pair based on the first rank and the second rank associated with the word-context pair using the processing system; determining a mutual rank ratio using the processing system based on multiple rank ratios; and identifying a phrasal term using the processing system based on the mutual rank ratio. 10. The method of claim 1 , wherein the rank ratio for each word-context pair is determined to be the first rank associated with the word-context pair divided by the second rank associated with the word-context pair.
| 0.90518 |
7,593,921 | 18 | 19 |
18. The method according to claim 13 , wherein said method is used in an audio/video program suggestion engine.
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18. The method according to claim 13 , wherein said method is used in an audio/video program suggestion engine. 19. The method according to claim 18 , wherein said audio/video program suggestion engine is internet based.
| 0.5 |
8,780,131 | 5 | 7 |
5. A computer implemented method for replacing an existing text string within an image with a personalized text string to generate a natural text-rendered image, comprising: identifying a location and region within the image containing the existing text string to be replaced; deriving selected features from the existing text string; determining a 3D geometry of a surface upon which the existing text string has been rendered based on one or more of the selected features; determining a normal vector of the surface; erasing the existing text string; receiving the personalized text string; incorporating the personalized text string into the image to appear as if it is rendered onto the surface in place of the previously existing text string according to the estimated 3D geometry; and outputting the natural text-rendered image; wherein deriving the selected features comprises: segmenting the existing text string from a background of the image; and deriving the existing text string edges; wherein a binary search algorithm is employed to establish a predetermined threshold based upon one that produces the largest number of connected components of the existing text string edges.
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5. A computer implemented method for replacing an existing text string within an image with a personalized text string to generate a natural text-rendered image, comprising: identifying a location and region within the image containing the existing text string to be replaced; deriving selected features from the existing text string; determining a 3D geometry of a surface upon which the existing text string has been rendered based on one or more of the selected features; determining a normal vector of the surface; erasing the existing text string; receiving the personalized text string; incorporating the personalized text string into the image to appear as if it is rendered onto the surface in place of the previously existing text string according to the estimated 3D geometry; and outputting the natural text-rendered image; wherein deriving the selected features comprises: segmenting the existing text string from a background of the image; and deriving the existing text string edges; wherein a binary search algorithm is employed to establish a predetermined threshold based upon one that produces the largest number of connected components of the existing text string edges. 7. The method of claim 5 wherein identifying the location and region involves receiving user-entered vertices of a bounding polygon via a graphical user interface.
| 0.825107 |
9,646,076 | 8 | 9 |
8. A computerized apparatus having a processor, the processor being adapted to perform the steps of: executing a query against a knowledge base to retrieve at least one document; retrieving at least one entity associated with the at least one document; assigning at least one relevancy score to the at least one entity, the at least one relevancy score representing a degree of relevance of the at least one entity to topic of the query; obtaining a filtered list by filtering the at least one entity to contain only entities appearing in a predetermined collection; and assessing findability of the query based on the at least one entity and the relevancy score, wherein the findability indicates a degree of difficulty to retrieve information related to the query from the representation of the filtered list.
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8. A computerized apparatus having a processor, the processor being adapted to perform the steps of: executing a query against a knowledge base to retrieve at least one document; retrieving at least one entity associated with the at least one document; assigning at least one relevancy score to the at least one entity, the at least one relevancy score representing a degree of relevance of the at least one entity to topic of the query; obtaining a filtered list by filtering the at least one entity to contain only entities appearing in a predetermined collection; and assessing findability of the query based on the at least one entity and the relevancy score, wherein the findability indicates a degree of difficulty to retrieve information related to the query from the representation of the filtered list. 9. The apparatus of claim 8 , wherein the predetermined collection comprises names of individuals.
| 0.659722 |
8,601,326 | 18 | 19 |
18. A non-transitory computer-readable storage medium storing computer-executable instructions configured to direct a computing system to: receive selection of an object type to monitor for potential data quality problems; receive selection of one or more data quality criterion; receive selection of one or more Boolean operators associated with the one or more data quality criterion and/or an indication of how many of the one or more data quality criterion are required in order to identify respective database objects as objects having potential data quality problems; determine potential data quality problems by scanning data associated with a plurality of database objects of the selected object type in order to determine if the selected one or more data quality criterion are matched by respective objects; match the selected one or more data quality criterion to properties and/or property values of respective objects; generate a user interface indicating the potential data quality problems of respective matched objects; receive from a user of the computing system a resolution of respective potential data quality problems; and implement the resolution.
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18. A non-transitory computer-readable storage medium storing computer-executable instructions configured to direct a computing system to: receive selection of an object type to monitor for potential data quality problems; receive selection of one or more data quality criterion; receive selection of one or more Boolean operators associated with the one or more data quality criterion and/or an indication of how many of the one or more data quality criterion are required in order to identify respective database objects as objects having potential data quality problems; determine potential data quality problems by scanning data associated with a plurality of database objects of the selected object type in order to determine if the selected one or more data quality criterion are matched by respective objects; match the selected one or more data quality criterion to properties and/or property values of respective objects; generate a user interface indicating the potential data quality problems of respective matched objects; receive from a user of the computing system a resolution of respective potential data quality problems; and implement the resolution. 19. The non-transitory computer-readable storage medium of claim 18 , wherein the potential data quality problems include at least one of: possible duplicate objects, missing properties, multi-valued properties, unparsed properties, disallowed enumerations, numeric range violation, and date range violation.
| 0.5 |
9,971,766 | 7 | 8 |
7. The computing device of claim 1 , wherein the instructions further configure the computing device to: identify at least one dialogue response to the at least one query.
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7. The computing device of claim 1 , wherein the instructions further configure the computing device to: identify at least one dialogue response to the at least one query. 8. The computing device of claim 7 , wherein the instructions further configure the computing device to: format an output, the output comprising the at least one dialogue response.
| 0.688581 |
9,082,408 | 30 | 31 |
30. A method, for use with a system, the method performed by at least one processor executing computer program instructions stored on a non-transitory computer-readable medium: wherein the system comprises: a first device including an audio capture component; a speech recognition processing component; and a second device including a result processing component; wherein the method comprises: (A) using the audio capture component to capture an audio signal representing speech of a user to produce a captured audio signal; (B) using the speech recognition processing component to perform automatic speech recognition on the captured audio signal to produce speech recognition results; (C) determining that the result processing component is associated with a current context of the user, comprising: a. identifying a list of at least one result processing component currently authorized for use on behalf of the user; and b. determining that the at least one result processing component in the list is associated with the current context of the user; (D) in response to the determination that the result processing component is associated with the current context of the user, providing the speech recognition results to the result processing component; and (E) using the result processing component to process the speech recognition results to produce result output.
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30. A method, for use with a system, the method performed by at least one processor executing computer program instructions stored on a non-transitory computer-readable medium: wherein the system comprises: a first device including an audio capture component; a speech recognition processing component; and a second device including a result processing component; wherein the method comprises: (A) using the audio capture component to capture an audio signal representing speech of a user to produce a captured audio signal; (B) using the speech recognition processing component to perform automatic speech recognition on the captured audio signal to produce speech recognition results; (C) determining that the result processing component is associated with a current context of the user, comprising: a. identifying a list of at least one result processing component currently authorized for use on behalf of the user; and b. determining that the at least one result processing component in the list is associated with the current context of the user; (D) in response to the determination that the result processing component is associated with the current context of the user, providing the speech recognition results to the result processing component; and (E) using the result processing component to process the speech recognition results to produce result output. 31. The method of claim 30 , further comprising: (F) providing the speech recognition results to the result processing component in response to the determination that the result processing component is associated with the current context of the user.
| 0.753937 |
8,316,348 | 1 | 2 |
1. A framework, including at least one processor, for formatting and serving web content, comprising: a data conglomeration engine for receiving and processing data conglomeration requests, and for serving requested data conglomeration services, at least two of the requested conglomeration services being served using identical unformatted data that has been formatted differently from each other prior to serving; a services registration database for storing data conglomeration service metadata; a data conglomeration services module for maintaining a set of data conglomeration services, the data conglomeration services module interfacing with the data conglomeration engine via a data conglomeration services interface; a data conglomeration configuration repository for storing data conglomeration engine configurations and data conglomeration service configurations; and a source manager for interfacing with static and dynamic data sources that are accessed in response to the data conglomeration requests; wherein the data conglomeration engine is adapted to break down the data conglomeration requests, to translate requested method and parameters into a matching data conglomeration service call; wherein if a caller providing a data conglomeration service call is a web page, a resulting data format is encoded as a JavaScript string, and sent back to a corresponding client; and wherein if a caller providing a data conglomeration service is an application, the data conglomeration engine can encode a resulting data format into Web Service Extensible Markup Language (XML).
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1. A framework, including at least one processor, for formatting and serving web content, comprising: a data conglomeration engine for receiving and processing data conglomeration requests, and for serving requested data conglomeration services, at least two of the requested conglomeration services being served using identical unformatted data that has been formatted differently from each other prior to serving; a services registration database for storing data conglomeration service metadata; a data conglomeration services module for maintaining a set of data conglomeration services, the data conglomeration services module interfacing with the data conglomeration engine via a data conglomeration services interface; a data conglomeration configuration repository for storing data conglomeration engine configurations and data conglomeration service configurations; and a source manager for interfacing with static and dynamic data sources that are accessed in response to the data conglomeration requests; wherein the data conglomeration engine is adapted to break down the data conglomeration requests, to translate requested method and parameters into a matching data conglomeration service call; wherein if a caller providing a data conglomeration service call is a web page, a resulting data format is encoded as a JavaScript string, and sent back to a corresponding client; and wherein if a caller providing a data conglomeration service is an application, the data conglomeration engine can encode a resulting data format into Web Service Extensible Markup Language (XML). 2. The framework of claim 1 , further comprising a JavaScript library that is accessed by the data conglomeration engine.
| 0.800987 |
8,504,365 | 1 | 3 |
1. A method comprising: receiving a plurality of stored speech samples of a same word for verifying a user; comparing, via a processor, each of the plurality of stored speech samples to each other, to yield a variance over time; receiving speech from the user, distinct from the plurality of stored speech samples, to be verified; receiving a parameter that identifies a certainty level associated with the variance, from a plurality of certainty levels, to be applied when verifying the speech as authentic; based on the certainty level, verifying the speech as authentic, to yield a verification; and transmitting access data based on the verification.
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1. A method comprising: receiving a plurality of stored speech samples of a same word for verifying a user; comparing, via a processor, each of the plurality of stored speech samples to each other, to yield a variance over time; receiving speech from the user, distinct from the plurality of stored speech samples, to be verified; receiving a parameter that identifies a certainty level associated with the variance, from a plurality of certainty levels, to be applied when verifying the speech as authentic; based on the certainty level, verifying the speech as authentic, to yield a verification; and transmitting access data based on the verification. 3. The method of claim 1 , wherein the certainty level is based on a predetermined threshold.
| 0.672535 |
8,726,151 | 15 | 16 |
15. A system, comprising: one or more processors; and a computer-readable storage medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations to compare a first structured data document to a second structured data document, the operations comprising: receiving the first and second structured data documents as first and second encrypted documents, respectively, the first and second encrypted documents being transmitted from a remote computing device over a network, structure and content of each of the first and second encrypted documents being encrypted using encrypted integer labels (EBOL), wherein encrypting the first and second structured data documents comprises, for each node of each of the first and second structured data documents: assigning an integer pair comprising a unique identifier and a depth of the node, encrypting the integer pair to provide an encrypted integer pair, and encrypting structure encoding information of the node, comparing nodes of the first encrypted document to nodes of the second encrypted document, a content and a location of each of the nodes remaining confidential during the comparing; generating matched pairs of nodes based on the comparing, and storing the matched pairs in computer memory, each matched pair comprising a node of the first encrypted document and a corresponding node of the second encrypted document; determining one or more edit operations based on the matched pairs; and generating an edit script comprising the one or more edit operations, the edit script being executable by one or more processors to transform the first encrypted document to provide a transformed encrypted document that is isomorphic to the second encrypted document.
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15. A system, comprising: one or more processors; and a computer-readable storage medium coupled to the one or more processors having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations to compare a first structured data document to a second structured data document, the operations comprising: receiving the first and second structured data documents as first and second encrypted documents, respectively, the first and second encrypted documents being transmitted from a remote computing device over a network, structure and content of each of the first and second encrypted documents being encrypted using encrypted integer labels (EBOL), wherein encrypting the first and second structured data documents comprises, for each node of each of the first and second structured data documents: assigning an integer pair comprising a unique identifier and a depth of the node, encrypting the integer pair to provide an encrypted integer pair, and encrypting structure encoding information of the node, comparing nodes of the first encrypted document to nodes of the second encrypted document, a content and a location of each of the nodes remaining confidential during the comparing; generating matched pairs of nodes based on the comparing, and storing the matched pairs in computer memory, each matched pair comprising a node of the first encrypted document and a corresponding node of the second encrypted document; determining one or more edit operations based on the matched pairs; and generating an edit script comprising the one or more edit operations, the edit script being executable by one or more processors to transform the first encrypted document to provide a transformed encrypted document that is isomorphic to the second encrypted document. 16. The system of claim 15 , wherein determining one or more edit operations comprises: executing a difference function to process an encrypted value of a first node of the matched pair and an encrypted value of a second node of the matched pair; generating a non-zero value based on the executing; generating an update operation to update the encrypted value of the first node based on the encrypted value of the second node; and adding the update operation to the edit script.
| 0.5 |
7,545,982 | 1 | 39 |
1. A method of assessing fraud in a document using a computer system, comprising: providing a document to the computer system, wherein the document comprises at least one information field; and for at least one of the information fields of the document, comparing handwriting in the information field to at least one handwriting profile representation from at least two information fields of at least one other document, wherein at least one handwriting profile representation has been stored in a computer system; assessing fraud in the document using at least one comparison, wherein evidence of fraud comprises a failure of at least a portion of the handwriting in at least one of the information fields of the document to approximately match at least one handwriting profile representation.
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1. A method of assessing fraud in a document using a computer system, comprising: providing a document to the computer system, wherein the document comprises at least one information field; and for at least one of the information fields of the document, comparing handwriting in the information field to at least one handwriting profile representation from at least two information fields of at least one other document, wherein at least one handwriting profile representation has been stored in a computer system; assessing fraud in the document using at least one comparison, wherein evidence of fraud comprises a failure of at least a portion of the handwriting in at least one of the information fields of the document to approximately match at least one handwriting profile representation. 39. The method of claim 1 , wherein comparing handwriting in the information field to at least one handwriting profile representations from at least two information fields of at least one other document comprises retrieving cross-field correlation information relating to the information field.
| 0.790598 |
8,701,008 | 11 | 12 |
11. The method of claim 1 , wherein the project description file and edited multimedia content are generated using a video editor.
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11. The method of claim 1 , wherein the project description file and edited multimedia content are generated using a video editor. 12. The method of claim 11 , further comprising receiving the edited multimedia content from the second server.
| 0.5 |
9,547,439 | 1 | 8 |
1. A method comprising: receiving, by a computing device, an indication of movement of an input object along a spatial path of a presence-sensitive input device operatively coupled to the computing device, the computing device being operatively coupled to a display device; determining, by the computing device and based at least in part on one or more respective locations along the spatial path, a plurality of character strings; detecting, after receiving the indication of movement of the input object along the spatial path, a suspension of movement of the input object for an amount of time that exceeds a threshold, wherein during the suspension of movement of the input object, the input object is at a particular location of the display device; responsive to detecting the suspension of movement of the input object, outputting, by the computing device, the plurality of character strings for display at locations of the display device determined based on the particular location; during a time period that the plurality of character strings is displayed, receiving, by the computing device, an indication of a resumption of movement of the input object following the suspension of movement of the input object; responsive to receiving the indication of the resumption of movement, selecting by the computing device, based on a direction of movement of the input object after the resumption of movement, a particular character string from the plurality of character strings; and responsive to receiving an indication of a termination of movement of the input object after the resumption of movement, outputting, by the computing device, for display in a text input area displayed by the display device, the selected character string.
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1. A method comprising: receiving, by a computing device, an indication of movement of an input object along a spatial path of a presence-sensitive input device operatively coupled to the computing device, the computing device being operatively coupled to a display device; determining, by the computing device and based at least in part on one or more respective locations along the spatial path, a plurality of character strings; detecting, after receiving the indication of movement of the input object along the spatial path, a suspension of movement of the input object for an amount of time that exceeds a threshold, wherein during the suspension of movement of the input object, the input object is at a particular location of the display device; responsive to detecting the suspension of movement of the input object, outputting, by the computing device, the plurality of character strings for display at locations of the display device determined based on the particular location; during a time period that the plurality of character strings is displayed, receiving, by the computing device, an indication of a resumption of movement of the input object following the suspension of movement of the input object; responsive to receiving the indication of the resumption of movement, selecting by the computing device, based on a direction of movement of the input object after the resumption of movement, a particular character string from the plurality of character strings; and responsive to receiving an indication of a termination of movement of the input object after the resumption of movement, outputting, by the computing device, for display in a text input area displayed by the display device, the selected character string. 8. The method of claim 1 , wherein determining the plurality of character strings comprises: determining, by the computing device and based at least in part on the one or more respective locations along the spatial path and respective locations of one or more virtual keys of a virtual keyboard, the plurality of character strings.
| 0.864455 |
4,516,260 | 32 | 37 |
32. A talking electronic apparatus comprising: memory means for storing digital speech data and digital control data from which a plurality of requests in synthesized human speech for respective operator responses and appropriate operator responses corresponding to said plurality of requests may be respectively derived, speech synthesizer means operably associated with said memory means for converting said digital speech data into audible human speech, means for randomly accessing a portion of said digital speech data stored in said memory means from which a request for an operator response may be derived, means for transferring said randomly accessed portion of said digital speech data from said memory means to said speech synthesizer means to produce a randomly selected audible request in human speech, means responsive to said digital control data for producing a visual display corresponding to said randomly selected audible request, operator input means for receiving an operator response to said randomly selected audible request, and means responsive to said digital control data and said operator response to said randomly selected audible request for responding in a manner producing an output indicative of the appropriateness of said operator response with respect to the appropriate operator response corresponding to said randomly selected audible request.
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32. A talking electronic apparatus comprising: memory means for storing digital speech data and digital control data from which a plurality of requests in synthesized human speech for respective operator responses and appropriate operator responses corresponding to said plurality of requests may be respectively derived, speech synthesizer means operably associated with said memory means for converting said digital speech data into audible human speech, means for randomly accessing a portion of said digital speech data stored in said memory means from which a request for an operator response may be derived, means for transferring said randomly accessed portion of said digital speech data from said memory means to said speech synthesizer means to produce a randomly selected audible request in human speech, means responsive to said digital control data for producing a visual display corresponding to said randomly selected audible request, operator input means for receiving an operator response to said randomly selected audible request, and means responsive to said digital control data and said operator response to said randomly selected audible request for responding in a manner producing an output indicative of the appropriateness of said operator response with respect to the appropriate operator response corresponding to said randomly selected audible request. 37. A talking electronic apparatus according to claim 32, further including battery receiving means for holding a battery power source to provide electrical power to said apparatus.
| 0.766753 |
8,315,967 | 9 | 11 |
9. An apparatus comprising: a production memory to store a rule set having a plurality of rules; and a Rete rule engine coupled to the production memory, the Rete rule engine being configurable into a sequential mode, in which the Rete rule engine is operable to evaluate the plurality of rules against a set of data objects in a stateless manner.
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9. An apparatus comprising: a production memory to store a rule set having a plurality of rules; and a Rete rule engine coupled to the production memory, the Rete rule engine being configurable into a sequential mode, in which the Rete rule engine is operable to evaluate the plurality of rules against a set of data objects in a stateless manner. 11. The apparatus of claim 9 , wherein the Rete rule engine is operable to turn off a left node memory for each of a plurality of nodes in a Rete network of the Rete rule engine, and to disconnect a left input to a first one of one or more two-input nodes in the Rete network.
| 0.615599 |
5,517,578 | 26 | 34 |
26. A computerized method for combining a plurality of strokes associated with a selected line area together as words, said method comprising the steps of: grouping the plurality of strokes into characters; determining measurement parameters about the characters including average character width; defining a membership function for joining two adjacent characters together as a word from the measurement parameters; retrieving a first character; retrieving a second character that is adjacent to the first character; determining measurement parameters between the first character and the second character; combining the first and second characters into a word using the defined membership function and the measurement parameters between the first character and the second character.
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26. A computerized method for combining a plurality of strokes associated with a selected line area together as words, said method comprising the steps of: grouping the plurality of strokes into characters; determining measurement parameters about the characters including average character width; defining a membership function for joining two adjacent characters together as a word from the measurement parameters; retrieving a first character; retrieving a second character that is adjacent to the first character; determining measurement parameters between the first character and the second character; combining the first and second characters into a word using the defined membership function and the measurement parameters between the first character and the second character. 34. The computerized method of claim 26, further comprising a step of merging the word produced by the combining step with an existing word already present on the line area by: calculating a leftmost and a rightmost coordinate of the existing word; determining a center point for the word produced by the combining step; and combining into a single new word the word produced by the combining step and the existing word if the center point of the word produced by the combining step is between approximately the leftmost and the rightmost coordinates of the existing word.
| 0.612991 |
8,488,877 | 2 | 6 |
2. A system as set forth in claim 1 , wherein the object recognition block further comprises: a search module, the search module configured to perform a local search for objects using cues from the visual attention cueing block and the geometric grammar block to generate candidate regions of interest (ROIs); and a statistical classifier block, the statistical classifier block being, configured to, within the candidate ROIs, implement multiple machine learning based object classifiers using geometric features generated by the implicit geometry engine, the statistical classifier block further configured to classify the 3D object of interest as a particular object upon the output of the object classifiers reaching a predetermined threshold.
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2. A system as set forth in claim 1 , wherein the object recognition block further comprises: a search module, the search module configured to perform a local search for objects using cues from the visual attention cueing block and the geometric grammar block to generate candidate regions of interest (ROIs); and a statistical classifier block, the statistical classifier block being, configured to, within the candidate ROIs, implement multiple machine learning based object classifiers using geometric features generated by the implicit geometry engine, the statistical classifier block further configured to classify the 3D object of interest as a particular object upon the output of the object classifiers reaching a predetermined threshold. 6. A system as set forth in claim 2 , wherein the search module is further configured to use particle swarm optimization to perform a local search for objects.
| 0.839394 |
4,539,653 | 43 | 44 |
43. A computerized composer comprising input means for supplying a sequence of unformatted text/graphics signals with embedded control words which indicate desired composition parameters and composing functions to be performed by a computerized composer, computer means coupled to the input means for receiving said sequence of text/graphics signals and embedded control words for responding to said embedded control words to compose a document based upon the sequence of said text/graphics signals for generating a second sequence of text/graphics signals which are arranged with pagination indications of logical page extents and other composed-page indicating signals for enabling a visual presentation device to present information represented by such text/graphics signals, output means coupled to the computer means for receiving said composed text/graphics signals for visually presenting the composed document; said computer means having storage means and program indicia for constituting a composing page formatter for enabling the computer means to respond to said received unformatted text/graphics signals in accordance with said embedded control words as follows; first indicia in said computer means for enabling the computer means to receive said unformatted text/graphics signals and analyze said embedded control words; second indicia in said computer means for enabling the computer means to couple to said first indicia and to format said unformatted received text/graphics signals in sequence as received including paginating pages in accordance with assignment of text/graphics signals that fill page extents; third indicia in said computer means for enabling the computer means to respond to named area embedded control words received via said first indicia enablement of the computer means to divert named area indicated ones of the received unformatted text/graphics signals for storage separate from said page formatted text/graphics signals but formatted by said first indicia enablement of the computer means; and fourth indicia in said computer means for enabling the computer means to respond to said received text/graphics signals and to the embedded control words for selectively placing said diverted text/graphics signals to a said logical page independently of where in the unformatted received text/graphics signals such diverted text/graphics signals were received.
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43. A computerized composer comprising input means for supplying a sequence of unformatted text/graphics signals with embedded control words which indicate desired composition parameters and composing functions to be performed by a computerized composer, computer means coupled to the input means for receiving said sequence of text/graphics signals and embedded control words for responding to said embedded control words to compose a document based upon the sequence of said text/graphics signals for generating a second sequence of text/graphics signals which are arranged with pagination indications of logical page extents and other composed-page indicating signals for enabling a visual presentation device to present information represented by such text/graphics signals, output means coupled to the computer means for receiving said composed text/graphics signals for visually presenting the composed document; said computer means having storage means and program indicia for constituting a composing page formatter for enabling the computer means to respond to said received unformatted text/graphics signals in accordance with said embedded control words as follows; first indicia in said computer means for enabling the computer means to receive said unformatted text/graphics signals and analyze said embedded control words; second indicia in said computer means for enabling the computer means to couple to said first indicia and to format said unformatted received text/graphics signals in sequence as received including paginating pages in accordance with assignment of text/graphics signals that fill page extents; third indicia in said computer means for enabling the computer means to respond to named area embedded control words received via said first indicia enablement of the computer means to divert named area indicated ones of the received unformatted text/graphics signals for storage separate from said page formatted text/graphics signals but formatted by said first indicia enablement of the computer means; and fourth indicia in said computer means for enabling the computer means to respond to said received text/graphics signals and to the embedded control words for selectively placing said diverted text/graphics signals to a said logical page independently of where in the unformatted received text/graphics signals such diverted text/graphics signals were received. 44. The computerized composer set forth in claim 43 wherein said fourth indicia further includes additional fourth indicia for enabling the computer means to select predetermined ones of said text/graphics signals from said separate storage for insertion onto respective predetermined ones of said pages independently of said sequential formatting via said second indicia enablement such predetermined portions of that said diverted text/graphics signals from a single one of said named areas are disposed on a plurality of said logical pages.
| 0.655894 |
4,605,080 | 18 | 19 |
18. Weighing apparatus in accordance with claim 15 wherein said first conveying means includes an article manipulator operable to engage, pick up and transfer an article to said weighing means and to transfer articles from said weighing means to said second conveying means.
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18. Weighing apparatus in accordance with claim 15 wherein said first conveying means includes an article manipulator operable to engage, pick up and transfer an article to said weighing means and to transfer articles from said weighing means to said second conveying means. 19. Weighing apparatus in accordance with claim 18 wherein said first conveying means includes an article conveyor operable to carry articles to said article manipulator.
| 0.764543 |
9,477,673 | 13 | 23 |
13. One or more non-transitory computer-readable media storing a first application for execution by one or more processors of a computing device comprising a touch screen display, the first application comprising instructions for: after the first application is opened, entering a first application state comprising a plurality of content item collection indicators displayed on the touch screen display; after entering the first application state, detecting a first touch gesture directed to one content item collection indicator of the plurality of content item collection indicators; wherein each content item collection indicator, of the plurality of content item collection indicators, represents one content item collection, of a plurality of content item collections, under management of a content management system; wherein performance of an earlier touch gesture directed to a graphical representation of a content item, displayed on the touch screen display, by a second application of the computing device that is not the first application, causes the first application to open and enter the first application state; after detecting the first touch gesture, assigning a copy of the content item to the content item collection, of the plurality of content item collections, represented by the one content item collection indicator to which the first touch gesture is directed.
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13. One or more non-transitory computer-readable media storing a first application for execution by one or more processors of a computing device comprising a touch screen display, the first application comprising instructions for: after the first application is opened, entering a first application state comprising a plurality of content item collection indicators displayed on the touch screen display; after entering the first application state, detecting a first touch gesture directed to one content item collection indicator of the plurality of content item collection indicators; wherein each content item collection indicator, of the plurality of content item collection indicators, represents one content item collection, of a plurality of content item collections, under management of a content management system; wherein performance of an earlier touch gesture directed to a graphical representation of a content item, displayed on the touch screen display, by a second application of the computing device that is not the first application, causes the first application to open and enter the first application state; after detecting the first touch gesture, assigning a copy of the content item to the content item collection, of the plurality of content item collections, represented by the one content item collection indicator to which the first touch gesture is directed. 23. The one or more non-transitory computer-readable media of claim 13 , the first application further comprising instructions for: in response to detecting the first touch gesture, assigning the copy of the content item to the content item collection, of the plurality of content item collections, represented by the one content item collection indicator to which the first touch gesture is directed.
| 0.508578 |
8,005,828 | 15 | 16 |
15. The computer readable medium of claim 1 wherein: the step of generating the plurality of suggested rewrites involves, for each query of said plurality of queries, creating a tree of nodes, wherein arcs between the nodes lead from a parent node to a child node, wherein each arc represents a query rewrite technique of a query rewrite provider of said query rewrite providers, wherein each descendant node represents a query rewrite policy comprising each query technique associated in the set of one or more arcs that lead from the root node to said each node.
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15. The computer readable medium of claim 1 wherein: the step of generating the plurality of suggested rewrites involves, for each query of said plurality of queries, creating a tree of nodes, wherein arcs between the nodes lead from a parent node to a child node, wherein each arc represents a query rewrite technique of a query rewrite provider of said query rewrite providers, wherein each descendant node represents a query rewrite policy comprising each query technique associated in the set of one or more arcs that lead from the root node to said each node. 16. The computer-readable medium of claim 15 , wherein the root node represents the query.
| 0.5 |
8,984,084 | 15 | 19 |
15. A computer system comprising the following: one or more computer system processors; system memory; a local data store; and one or more computer storage media having stored thereon computer-executable instructions that, when executed by the one or more computer system processors, cause the computing system to perform a method for providing a management interface for initializing the local data store, the method comprising the following: an act of instantiating a management interface that is configured to initialize a local persistent data store; an act of receiving an input indicating one or more settings that are to be applied when initializing the local persistent data store, wherein at least one of the settings identifies how the local persistent data store is to be partitioned; an act of partitioning the local persistent data store into one or more partitions that are each accessible using the management interface; and an act of initializing the partitioned local persistent data store as a local RDMA endpoint using the management interface, wherein the local RDMA endpoint includes extended RDMA semantics that provide direct access to the local persistent data store, wherein the direct access bypasses the one or more computer system processors, and further wherein the extended RDMA semantics including RDMA ordering semantics that allow at least one of out-of-order processing or out-of-order completions for local persistent data store data read or write operations performed on the local data store.
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15. A computer system comprising the following: one or more computer system processors; system memory; a local data store; and one or more computer storage media having stored thereon computer-executable instructions that, when executed by the one or more computer system processors, cause the computing system to perform a method for providing a management interface for initializing the local data store, the method comprising the following: an act of instantiating a management interface that is configured to initialize a local persistent data store; an act of receiving an input indicating one or more settings that are to be applied when initializing the local persistent data store, wherein at least one of the settings identifies how the local persistent data store is to be partitioned; an act of partitioning the local persistent data store into one or more partitions that are each accessible using the management interface; and an act of initializing the partitioned local persistent data store as a local RDMA endpoint using the management interface, wherein the local RDMA endpoint includes extended RDMA semantics that provide direct access to the local persistent data store, wherein the direct access bypasses the one or more computer system processors, and further wherein the extended RDMA semantics including RDMA ordering semantics that allow at least one of out-of-order processing or out-of-order completions for local persistent data store data read or write operations performed on the local data store. 19. The computer system of claim 15 , wherein the management interface allows a user to configure memory offsets for each partition.
| 0.631285 |
8,055,501 | 14 | 16 |
14. The speech synthesizer generating method according to claim 13 , wherein the speech output specification describes a plurality of sentence patterns and a plurality of vocabularies desired to be synthesized, and the sentence pattern and the vocabulary in the speech output specification are defined in syntax patterns or semantics patterns.
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14. The speech synthesizer generating method according to claim 13 , wherein the speech output specification describes a plurality of sentence patterns and a plurality of vocabularies desired to be synthesized, and the sentence pattern and the vocabulary in the speech output specification are defined in syntax patterns or semantics patterns. 16. The speech synthesizer generating method according to claim 14 , wherein the semantics pattern for defining the sentence pattern is conducted by a pragmatic pattern comprising a pragmatic pattern comprising one of a question, an interrogation, a statement, a command, an affirmation, a denial, or an exclamation.
| 0.504702 |
7,636,656 | 1 | 2 |
1. A method for localizing a software product, the method comprising: an automated localization mechanism implemented in a computer extracting localizable text strings, to be translated into a language for which the product is to be localized, from one or more localizable files of the software product, wherein said extracting localizable text strings comprises masking each localizable file with a corresponding shade file, wherein each shade file comprises content of the corresponding localizable file with the localizable text strings removed, and wherein the localization mechanism is configured to operate on the localizable files independent of the particular file formats of the localizable files; and initiating an iteration of a localization process comprising the localization mechanism: searching a localization database for translations of the extracted localizable text strings, wherein the localization database comprises text strings and associated translations of the text strings in the language for which the product is to be localized; in response to a translation for a localizable text string not being found in the localization database, the localization mechanism generating an entry in a translation kit for the localizable text string, wherein the translation kit is formatted in accordance with a canonical translation kit format, wherein the same canonical format is used for the translation kit regardless of the format of the localizable files, and wherein the translation kit is separate from the localizable files; initiating another iteration of the localization process comprising the localization mechanism: searching a localization database for translations of the extracted localizable text strings, wherein the localization database comprises text strings, and associated translations of the text strings in the language for which the product is to be localized; in response to a translation for a localizable text string being found in the localization database, the localization mechanism recording the translation for the localizable text string.
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1. A method for localizing a software product, the method comprising: an automated localization mechanism implemented in a computer extracting localizable text strings, to be translated into a language for which the product is to be localized, from one or more localizable files of the software product, wherein said extracting localizable text strings comprises masking each localizable file with a corresponding shade file, wherein each shade file comprises content of the corresponding localizable file with the localizable text strings removed, and wherein the localization mechanism is configured to operate on the localizable files independent of the particular file formats of the localizable files; and initiating an iteration of a localization process comprising the localization mechanism: searching a localization database for translations of the extracted localizable text strings, wherein the localization database comprises text strings and associated translations of the text strings in the language for which the product is to be localized; in response to a translation for a localizable text string not being found in the localization database, the localization mechanism generating an entry in a translation kit for the localizable text string, wherein the translation kit is formatted in accordance with a canonical translation kit format, wherein the same canonical format is used for the translation kit regardless of the format of the localizable files, and wherein the translation kit is separate from the localizable files; initiating another iteration of the localization process comprising the localization mechanism: searching a localization database for translations of the extracted localizable text strings, wherein the localization database comprises text strings, and associated translations of the text strings in the language for which the product is to be localized; in response to a translation for a localizable text string being found in the localization database, the localization mechanism recording the translation for the localizable text string. 2. The method as recited in claim 1 , wherein said recording the translation for the localizable text string comprises writing the translation for the localizable text string into a localized version of the localizable file at a location from which the corresponding localizable string was extracted, such that the localized version matches an original file structure of the localizable file.
| 0.809153 |
8,266,184 | 4 | 6 |
4. A computer hardware apparatus for generating a context model for generating a Service-Oriented Architecture (SOA) policy, comprising: at least one processor; a collector configured to collect SOA metadata documents compliant with an application scope of the SOA policy; an inter-document reference establishing module configured to establish inter-document references among the collected SOA metadata documents; and an aggregator configured to aggregate the collected SOA metadata documents according to the inter-document references to generate a context model, wherein the inter-document reference establishing module includes a correspondence establishing unit configured to establish a unique correspondence between a Uniform Resource Identifier of each of the collected SOA metadata documents and a role taken by the collected SOA metadata document.
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4. A computer hardware apparatus for generating a context model for generating a Service-Oriented Architecture (SOA) policy, comprising: at least one processor; a collector configured to collect SOA metadata documents compliant with an application scope of the SOA policy; an inter-document reference establishing module configured to establish inter-document references among the collected SOA metadata documents; and an aggregator configured to aggregate the collected SOA metadata documents according to the inter-document references to generate a context model, wherein the inter-document reference establishing module includes a correspondence establishing unit configured to establish a unique correspondence between a Uniform Resource Identifier of each of the collected SOA metadata documents and a role taken by the collected SOA metadata document. 6. The computer hardware apparatus according to claim 4 , further comprising a specifying module configured to receive a user input to specify the SOA metadata documents.
| 0.873887 |
9,009,592 | 7 | 8 |
7. The method of claim 1 , further comprising comparing the one or more components of the first text string with one or more components of a second text string transcribed from a second audio content item for associating the first text string with the second text string.
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7. The method of claim 1 , further comprising comparing the one or more components of the first text string with one or more components of a second text string transcribed from a second audio content item for associating the first text string with the second text string. 8. The method of claim 7 , wherein associating the first text string with the second text string includes grouping the first electronic task item with a second electronic task item generated from the second text string and further comprising displaying the first and second electronic task items together as a grouping of related task items.
| 0.5 |
7,889,073 | 1 | 7 |
1. An apparatus for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising: a media presentation perceivably exhibited to at least one individual having a profile; a detector for passively capturing emotional responses of said at least one individual to said media presentation during exhibition of said media presentation; a processor for producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; said processor identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group.
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1. An apparatus for using information in the form of passively collected emotional responses to a media presentation that is made to one or more individuals, comprising: a media presentation perceivably exhibited to at least one individual having a profile; a detector for passively capturing emotional responses of said at least one individual to said media presentation during exhibition of said media presentation; a processor for producing a correlation that reflects a relationship between said at least one individual's emotional responses and at least one portion of said media presentation which contained stimuli that elicited said emotional responses; said processor identifying at least one group having a profile that is similar to the profile of said at least one individual; wherein at least one or more of said portions of said media presentation is perceivably exhibited to said group; wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are selected based upon said correlation between said at least one individual's emotional responses and at least one portion of said media presentation that contained stimuli that elicited said emotional response; and wherein the at least one or more of said portions of said media that are perceivably exhibited to said group are presented to said group with some assurance of a positive reception by said group. 7. The apparatus of claim 1 , said processor adapted to project said resulting emotional response data onto one or more demographic categories.
| 0.722868 |
10,032,235 | 1 | 3 |
1. A method for crowd sourcing tasks, comprising: identifying, by a computer system, a group of potential candidates for crowd sourcing; receiving, by the computer system, a request to perform a particular task from a requester; transmitting, by the computer system, an offer for performance of the particular task to a subgroup of the group of potential candidates, wherein transmitting the offer for performance of the particular task to the subgroup of the group of potential candidates comprises: determining when any candidates are currently performing the same task or similar task to the particular task, and transmitting the offer for performance of the particular task to the candidates that are currently performing the same task or the similar task; determining when any candidates have a history of completing the same task or the similar task to the particular task faster than other candidates, and transmitting the offer for performance of the particular task to the candidates that have the history of completing the same task or the similar task faster than the other candidates; determining when a particular candidate has completed a specific task, and transmitting the offer for performance of the particular task to the particular candidate in response to the particular candidate having completed the specific task, wherein the specific task is related to the particular task being offered; and determining when any candidates have reached a predefined quota of one of a total time in performing a group of tasks during a set time period or a number of tasks performed during the set time period, and not transmitting an offer for performance of another task to any candidates that have reached the predefined quota until a next set time period, wherein the next set time period is configurable by a user based on a policy.
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1. A method for crowd sourcing tasks, comprising: identifying, by a computer system, a group of potential candidates for crowd sourcing; receiving, by the computer system, a request to perform a particular task from a requester; transmitting, by the computer system, an offer for performance of the particular task to a subgroup of the group of potential candidates, wherein transmitting the offer for performance of the particular task to the subgroup of the group of potential candidates comprises: determining when any candidates are currently performing the same task or similar task to the particular task, and transmitting the offer for performance of the particular task to the candidates that are currently performing the same task or the similar task; determining when any candidates have a history of completing the same task or the similar task to the particular task faster than other candidates, and transmitting the offer for performance of the particular task to the candidates that have the history of completing the same task or the similar task faster than the other candidates; determining when a particular candidate has completed a specific task, and transmitting the offer for performance of the particular task to the particular candidate in response to the particular candidate having completed the specific task, wherein the specific task is related to the particular task being offered; and determining when any candidates have reached a predefined quota of one of a total time in performing a group of tasks during a set time period or a number of tasks performed during the set time period, and not transmitting an offer for performance of another task to any candidates that have reached the predefined quota until a next set time period, wherein the next set time period is configurable by a user based on a policy. 3. The method of claim 1 , further comprising transmitting a result of completion of the task to the requester.
| 0.90431 |
8,266,158 | 13 | 17 |
13. The system of claim 12 wherein the least one processing device is further operative to generate a plurality of modification options.
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13. The system of claim 12 wherein the least one processing device is further operative to generate a plurality of modification options. 17. The system of claim 13 further comprising applying the one or more rules to the modified user generated content item.
| 0.691327 |
8,676,565 | 34 | 35 |
34. A method implemented by one or more computer processors, the method comprising: clustering a plurality of semantic graphs that were formed based on a linguistic analysis of a corpus of user utterances into a plurality of semantic clusters through use of one or more proximity metrics; identifying which of the plurality of semantic clusters include divergent sub-clusters; and offering the identified semantic clusters for review in a user interface.
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34. A method implemented by one or more computer processors, the method comprising: clustering a plurality of semantic graphs that were formed based on a linguistic analysis of a corpus of user utterances into a plurality of semantic clusters through use of one or more proximity metrics; identifying which of the plurality of semantic clusters include divergent sub-clusters; and offering the identified semantic clusters for review in a user interface. 35. A method as described in claim 34 , wherein the offering is performed for both divergent and convergent sub-clusters in the identified semantic clusters.
| 0.762121 |
8,260,729 | 25 | 26 |
25. The system of claim 1 , wherein said subjective user state data solicitation module configured to solicit subjective user state data including data indicating occurrence of at least one subjective user state associated with a user in response to the acquisition of the objective occurrence data comprises: a subjective user state data solicitation module configured to solicit the data indicating occurrence of at least one subjective user state in response to the acquisition of the objective occurrence data and in response to historical data.
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25. The system of claim 1 , wherein said subjective user state data solicitation module configured to solicit subjective user state data including data indicating occurrence of at least one subjective user state associated with a user in response to the acquisition of the objective occurrence data comprises: a subjective user state data solicitation module configured to solicit the data indicating occurrence of at least one subjective user state in response to the acquisition of the objective occurrence data and in response to historical data. 26. The system of claim 25 , wherein said subjective user state data solicitation module configured to solicit the data indicating occurrence of at least one subjective user state in response to the acquisition of the objective occurrence data and in response to historical data comprises: a subjective user state data solicitation module configured to solicit the data indicating occurrence of at least one subjective user state based, at least in part, on one or more historical sequential patterns.
| 0.55742 |
9,182,952 | 24 | 26 |
24. An apparatus comprising: a memory configured to store functional block recognition rules; and a processor configured to apply the functional block recognition rules to image data of an image of a scene that includes a portion of a diagram representing functional blocks to: recognize the functional blocks, wherein the functional blocks include at least a first functional block associated with a first computer operation; determine whether the functional blocks comply with functional block syntax rules, wherein the functional block syntax rules indicate a hierarchy of operations associated with the functional blocks; and computer-generate a functional graph corresponding to the diagram based on the functional blocks complying with the functional block syntax rules, wherein the functional graph includes a graphical representation of the functional blocks.
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24. An apparatus comprising: a memory configured to store functional block recognition rules; and a processor configured to apply the functional block recognition rules to image data of an image of a scene that includes a portion of a diagram representing functional blocks to: recognize the functional blocks, wherein the functional blocks include at least a first functional block associated with a first computer operation; determine whether the functional blocks comply with functional block syntax rules, wherein the functional block syntax rules indicate a hierarchy of operations associated with the functional blocks; and computer-generate a functional graph corresponding to the diagram based on the functional blocks complying with the functional block syntax rules, wherein the functional graph includes a graphical representation of the functional blocks. 26. The apparatus of claim 24 , further comprising a display configured to depict the functional graph and further configured to prompt a user regarding the functional graph.
| 0.67658 |
8,308,484 | 1 | 4 |
1. A method comprising: displaying, on a display device of a system, a predetermined number of at least one image with at least one non-corresponding label in at least one language; having the user state, into an input device of the system, the at least one image; and determining, with a processor of the system, whether the user is misrepresenting his skill in the language as less than it actually is based on whether the at least one user statement was made with a delay.
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1. A method comprising: displaying, on a display device of a system, a predetermined number of at least one image with at least one non-corresponding label in at least one language; having the user state, into an input device of the system, the at least one image; and determining, with a processor of the system, whether the user is misrepresenting his skill in the language as less than it actually is based on whether the at least one user statement was made with a delay. 4. The method of claim 1 , wherein the predetermined number of at least one image with at least one non-corresponding label in at least one language is provided to the user in at least one of: a document, a picture, a drawing, an image, and/or a file.
| 0.5 |
9,270,778 | 18 | 19 |
18. The method according to claim 17 , further comprising the step of: rating said match based on or more of said behaviors observed from said observed users that were matched.
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18. The method according to claim 17 , further comprising the step of: rating said match based on or more of said behaviors observed from said observed users that were matched. 19. The method according to claim 18 , wherein said scale factors are refined based on said rating.
| 0.5 |
9,021,348 | 1 | 5 |
1. A computer-implemented method for composing a valid HTML document using template transclusion, comprising: retrieving a transcluded template file including a transcluded template; retrieving a transcluding template file including a transcluding template, the transcluding template including credentials to the transcluded template; validating that a data-type of an input parameter in the transcluding template matches a data-type of the transcluded template; building a binary transcluded template object from the transcluded template and a binary transcluding template object from the transcluding template based on the validating; and uploading the binary transcluded template object and the binary transcluding template object to a server to generate the valid HTML document that is sent for display on a browser, wherein content in the valid HTML document associated with the transcluded template is included within content in the valid HTML document associated with the transcluding template.
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1. A computer-implemented method for composing a valid HTML document using template transclusion, comprising: retrieving a transcluded template file including a transcluded template; retrieving a transcluding template file including a transcluding template, the transcluding template including credentials to the transcluded template; validating that a data-type of an input parameter in the transcluding template matches a data-type of the transcluded template; building a binary transcluded template object from the transcluded template and a binary transcluding template object from the transcluding template based on the validating; and uploading the binary transcluded template object and the binary transcluding template object to a server to generate the valid HTML document that is sent for display on a browser, wherein content in the valid HTML document associated with the transcluded template is included within content in the valid HTML document associated with the transcluding template. 5. The computer-implemented method of claim 1 , further comprising: identifying a cascading style sheet (CSS) rule associated with the transcluded template; inserting the CSS rule in the transcluding template file; inserting a credential associated with the transcluded template into the transcluding template; associating the credential with the CSS rule; and wherein building the binary transcluding template object further comprises: including, based on the credential the CSS rule associated with the transcluded template in the binary transcluding template object, wherein the content in the valid HTML document associated with the transcluded template is displayed with the CSS rule associated with the transcluded template.
| 0.517196 |
9,934,309 | 1 | 14 |
1. A computer-implemented method comprising: storing unstructured data in an unstructured data store, wherein at least some of the unstructured data remains unstructured in the unstructured data store; receiving, at a query converter, a structured query in a structured query language from an application; identifying a field in data stored in the unstructured data store, based on an extraction rule that specifies where to find a subportion of text within a segment of the data; generating, by the query converter, a second query in a second query language associated with the unstructured data store, based on the structured query; causing execution of the second query against the unstructured data stored in the unstructured data store; receiving a result of execution of the second query against the unstructured data stored in the unstructured data store, the result including a value for the field; and causing an indication of the result to be provided to the application for output to a user.
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1. A computer-implemented method comprising: storing unstructured data in an unstructured data store, wherein at least some of the unstructured data remains unstructured in the unstructured data store; receiving, at a query converter, a structured query in a structured query language from an application; identifying a field in data stored in the unstructured data store, based on an extraction rule that specifies where to find a subportion of text within a segment of the data; generating, by the query converter, a second query in a second query language associated with the unstructured data store, based on the structured query; causing execution of the second query against the unstructured data stored in the unstructured data store; receiving a result of execution of the second query against the unstructured data stored in the unstructured data store, the result including a value for the field; and causing an indication of the result to be provided to the application for output to a user. 14. A computer-implemented method as recited in claim 1 , further comprising: transmitting a pilot query to the unstructured data store prior to the receiving the structured query at the query converter; responsive to the pilot query, receiving a plurality of records generated by execution of the pilot query against the unstructured data in the unstructured data store, each record including one or more pairs of field names and values; automatically identifying field names and data types from the pairs in the plurality of records generated by execution of the pilot query against the unstructured data store; and defining a first set of fields that corresponds to the identified field names and data types.
| 0.656853 |
9,177,105 | 19 | 22 |
19. The method of claim 14 , where the second order statistical features include at least one of entropy, homogeneity, energy, and correlation.
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19. The method of claim 14 , where the second order statistical features include at least one of entropy, homogeneity, energy, and correlation. 22. The method of claim 19 , where energy is defined as Σ θ 1 ,θ 2 C(θ 1 ,θ 2 ) 2 where θ 1 is a directional gland tensor for a first gland in a pair of glands, where the pair of glands is in the localized subgraph, where θ 2 is a directional gland tensor for a second gland in the pair of glands, and where C is the directional gland tensor co-occurrence matrix, where the directional gland tensor co-occurrence matrix is a b×b co-occurrence matrix.
| 0.559687 |
7,945,581 | 28 | 29 |
28. The system of claim 27 , further comprising a query server operably connected to the master node and being adapted to: generate intermediary source code from query source code, the query source code representing at least one database operation using the database and wherein the query source code is formatted based in part on a query-based programming language; and compile the intermediary source code to generate the at least one executable.
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28. The system of claim 27 , further comprising a query server operably connected to the master node and being adapted to: generate intermediary source code from query source code, the query source code representing at least one database operation using the database and wherein the query source code is formatted based in part on a query-based programming language; and compile the intermediary source code to generate the at least one executable. 29. The system of claim 28 , wherein the intermediary source code is one of a group consisting of: C source code, C++ source code, Fortran source code; and Pascal source code.
| 0.673507 |
7,617,184 | 3 | 4 |
3. The method of claim 1 , wherein computing the least common ancestor of the related terms comprises storing all non-leaf terms on at least one server.
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3. The method of claim 1 , wherein computing the least common ancestor of the related terms comprises storing all non-leaf terms on at least one server. 4. The method of claim 3 , wherein the at least one server is a master server.
| 0.5 |
9,183,297 | 7 | 11 |
7. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a query comprising a first term; identifying one or more synonyms for the first term, wherein identifying the one or more synonyms comprises: determining that the first term and a second term satisfy predetermined criteria associated with a particular class of related terms, in response to determining that the first term and the second term satisfy the predetermined criteria, selecting a threshold that is different from a default threshold, wherein the default threshold is a threshold that is used to evaluate terms that do not satisfy the predetermined criteria associated with the particular class of related terms, generating a score for the first term and the second term by evaluating a relationship between the first term and the second term, and determining that the second term is a synonym of the first term based on applying the generated score to the selected threshold; generating an altered query using the second term; and processing the altered query to produce search results.
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7. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a query comprising a first term; identifying one or more synonyms for the first term, wherein identifying the one or more synonyms comprises: determining that the first term and a second term satisfy predetermined criteria associated with a particular class of related terms, in response to determining that the first term and the second term satisfy the predetermined criteria, selecting a threshold that is different from a default threshold, wherein the default threshold is a threshold that is used to evaluate terms that do not satisfy the predetermined criteria associated with the particular class of related terms, generating a score for the first term and the second term by evaluating a relationship between the first term and the second term, and determining that the second term is a synonym of the first term based on applying the generated score to the selected threshold; generating an altered query using the second term; and processing the altered query to produce search results. 11. The system of claim 7 , wherein the generated score is based on the frequency of common search results between queries having the first term and queries having the second term in place of the first term.
| 0.691045 |
7,677,896 | 4 | 5 |
4. A computer-implemented method of defining a body of instructive content for a plurality of students each exhibiting a learning style, the method comprising: providing a software viewer application; providing coded logic executable on an operating system on a computer; processing data including student viewing patterns and quiz results using the coded logic to determine individual preferences and abilities for a student and thereby to diagnose a learning style for the student; providing by use of the software viewer application, for each of a plurality of learning styles, content dependent on a learning style diagnosed for the student comprising a trigger element adapted to attract the interest of the student, the trigger element for each learning style being adapted to suit student cognitive abilities associated with the learning style; and providing by use of the software viewer application, for each of the plurality of learning styles, content sequence dependent on the learning style diagnosed for the student comprising at least one qualifier element intended for presentation to a student subsequent to presentation of the trigger element to the student, the at least one qualifier element for each learning style being adapted to suit student cognitive abilities associated with the learning style; wherein each of the plurality of learning styles is from a group comprising a first learning style whereby the student is engaged by an incremental approach to presenting content, a second learning style whereby the student is engaged by events presented in a story format, a third learning style whereby the student is engaged by being introduced to a principle and then to one or more topics that related to the principle, a fourth learning style whereby the student is engaged by being asked to infer concepts from data, simulations, graphs and/or charts, and a fifth learning style whereby the student is engaged by being introduced to a concept with a simulation, quiz and/or interactive exercise; and wherein the content adapted to each of the pluralities of learning styles comprises a sequence including (a) a particular type of trigger element and (b) a prescribed sequence of qualifier elements adapted to the considered learning style, and wherein: content adapted to the first learning style comprises (a) a step trigger element and (b) a sequence of description, example, exposition and procedure qualifier elements, content adapted to the second learning style comprises (a) an event trigger element and (b) a sequence of illustration, description, example, and procedure qualifier elements, content adapted to the third learning style comprises (a) an example trigger element and (b) a sequence of example, explanation and demonstration qualifier elements, content adapted to the fourth learning style comprises (a) a date trigger element and (b) a sequence of question prompting, example, explanation and illustration qualifier elements, and content adapted to the fifth learning style comprises (a) an experiment trigger element and (b) a sequence of explanation, description, question prompting and illustration qualifier elements.
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4. A computer-implemented method of defining a body of instructive content for a plurality of students each exhibiting a learning style, the method comprising: providing a software viewer application; providing coded logic executable on an operating system on a computer; processing data including student viewing patterns and quiz results using the coded logic to determine individual preferences and abilities for a student and thereby to diagnose a learning style for the student; providing by use of the software viewer application, for each of a plurality of learning styles, content dependent on a learning style diagnosed for the student comprising a trigger element adapted to attract the interest of the student, the trigger element for each learning style being adapted to suit student cognitive abilities associated with the learning style; and providing by use of the software viewer application, for each of the plurality of learning styles, content sequence dependent on the learning style diagnosed for the student comprising at least one qualifier element intended for presentation to a student subsequent to presentation of the trigger element to the student, the at least one qualifier element for each learning style being adapted to suit student cognitive abilities associated with the learning style; wherein each of the plurality of learning styles is from a group comprising a first learning style whereby the student is engaged by an incremental approach to presenting content, a second learning style whereby the student is engaged by events presented in a story format, a third learning style whereby the student is engaged by being introduced to a principle and then to one or more topics that related to the principle, a fourth learning style whereby the student is engaged by being asked to infer concepts from data, simulations, graphs and/or charts, and a fifth learning style whereby the student is engaged by being introduced to a concept with a simulation, quiz and/or interactive exercise; and wherein the content adapted to each of the pluralities of learning styles comprises a sequence including (a) a particular type of trigger element and (b) a prescribed sequence of qualifier elements adapted to the considered learning style, and wherein: content adapted to the first learning style comprises (a) a step trigger element and (b) a sequence of description, example, exposition and procedure qualifier elements, content adapted to the second learning style comprises (a) an event trigger element and (b) a sequence of illustration, description, example, and procedure qualifier elements, content adapted to the third learning style comprises (a) an example trigger element and (b) a sequence of example, explanation and demonstration qualifier elements, content adapted to the fourth learning style comprises (a) a date trigger element and (b) a sequence of question prompting, example, explanation and illustration qualifier elements, and content adapted to the fifth learning style comprises (a) an experiment trigger element and (b) a sequence of explanation, description, question prompting and illustration qualifier elements. 5. The method of claim 4 , wherein the instructive content includes text which is provided in English.
| 0.5 |
8,706,729 | 17 | 29 |
17. A method for distributed data annotation, comprising: receiving source data using a distributed data annotation server system, where the source data comprises one or more pieces of source data; selecting one or more annotators for at least one piece of source data using the distributed data annotation server system; creating one or more annotation tasks for the selected annotators and at least one piece of source data using the distributed data annotation server system; requesting one or more annotations for at least one piece of source data using the created annotation tasks and the distributed data annotation server system; receiving annotations for at least one piece of source data using the distributed data annotation server system; determining source data metadata for at least one piece of source data using the received annotations and the distributed data annotation server system, where the source data metadata includes source data characteristics; generating annotator metadata for at least one annotator using the received annotations, at least one piece of source data, and the distributed data annotation server system, where the annotator metadata includes identified annotator characteristics; and estimating the ground truth for at least one piece of source data using the source data metadata, the annotator metadata, and the distributed data annotation server system.
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17. A method for distributed data annotation, comprising: receiving source data using a distributed data annotation server system, where the source data comprises one or more pieces of source data; selecting one or more annotators for at least one piece of source data using the distributed data annotation server system; creating one or more annotation tasks for the selected annotators and at least one piece of source data using the distributed data annotation server system; requesting one or more annotations for at least one piece of source data using the created annotation tasks and the distributed data annotation server system; receiving annotations for at least one piece of source data using the distributed data annotation server system; determining source data metadata for at least one piece of source data using the received annotations and the distributed data annotation server system, where the source data metadata includes source data characteristics; generating annotator metadata for at least one annotator using the received annotations, at least one piece of source data, and the distributed data annotation server system, where the annotator metadata includes identified annotator characteristics; and estimating the ground truth for at least one piece of source data using the source data metadata, the annotator metadata, and the distributed data annotation server system. 29. The method of claim 17 , wherein: the annotation task is a human intelligence task; and requesting one or more annotations further comprises submitting at least one annotation task to a human intelligence task marketplace using the distributed data annotation server system.
| 0.833333 |
9,262,725 | 6 | 8 |
6. A mental modeling system, the system comprising: communication means for acquiring, from at least one input, unstructured data, a server computer connected to at least one network, wherein the server computer is configured to: provide at least one expert model, the at least one expert model comprising an analytical framework that summarizes subject matter expert-level knowledge; provide at least one mental model of at least one individual that summarizes subject matter individual-level knowledge; modify the at least one expert model based on the at least one mental model to provide at least one updated mental model, wherein the server computer is configured to receive the unstructured data from the communications means and provide at least one coding guide for coding the unstructured data to create structured data, wherein the server computer is configured to data mine the unstructured data and/or the structured data based on at least one predetermined algorithm to automatically create at least one concept map, wherein the server computer is configured to analyze the structured data to create the at least one mental model, wherein the server computer is configured to provide the at least one mental model based on a knowledge and understanding of the at least one individual, a gap in the knowledge and understanding of the at least one individual, a misunderstanding of the at least on individual, at least one priority of the at least one individual, and a credibility of at least one communications source to the at least one individual.
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6. A mental modeling system, the system comprising: communication means for acquiring, from at least one input, unstructured data, a server computer connected to at least one network, wherein the server computer is configured to: provide at least one expert model, the at least one expert model comprising an analytical framework that summarizes subject matter expert-level knowledge; provide at least one mental model of at least one individual that summarizes subject matter individual-level knowledge; modify the at least one expert model based on the at least one mental model to provide at least one updated mental model, wherein the server computer is configured to receive the unstructured data from the communications means and provide at least one coding guide for coding the unstructured data to create structured data, wherein the server computer is configured to data mine the unstructured data and/or the structured data based on at least one predetermined algorithm to automatically create at least one concept map, wherein the server computer is configured to analyze the structured data to create the at least one mental model, wherein the server computer is configured to provide the at least one mental model based on a knowledge and understanding of the at least one individual, a gap in the knowledge and understanding of the at least one individual, a misunderstanding of the at least on individual, at least one priority of the at least one individual, and a credibility of at least one communications source to the at least one individual. 8. The mental modeling system of claim 6 , wherein the expert model is based at least partly on the unstructured data, the structured data, and the at least one concept map.
| 0.5 |
9,015,082 | 1 | 6 |
1. A method, implemented by a computing device, comprising: receiving a training data set that comprises a plurality of sensitive documents and a plurality of non-sensitive documents; determining, by the computing device, a quality of the training data set, wherein determining the quality of the training data set comprises performing at least one of k-fold cross validation or latent semantic indexing using the training data set; in response to determining that the training data set has a satisfactory quality, analyzing, by the computing device, the training data set using machine learning to generate a machine learning-based detection (MLD) profile, the MLD profile to be used by a data loss prevention (DLP) system to classify new documents as sensitive documents or as non-sensitive documents; and in response to determining that the training data set does not have satisfactory quality, identifying at least one document from the training data set that caused the quality of the training data set to be reduced.
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1. A method, implemented by a computing device, comprising: receiving a training data set that comprises a plurality of sensitive documents and a plurality of non-sensitive documents; determining, by the computing device, a quality of the training data set, wherein determining the quality of the training data set comprises performing at least one of k-fold cross validation or latent semantic indexing using the training data set; in response to determining that the training data set has a satisfactory quality, analyzing, by the computing device, the training data set using machine learning to generate a machine learning-based detection (MLD) profile, the MLD profile to be used by a data loss prevention (DLP) system to classify new documents as sensitive documents or as non-sensitive documents; and in response to determining that the training data set does not have satisfactory quality, identifying at least one document from the training data set that caused the quality of the training data set to be reduced. 6. The method of claim 1 , further comprising: identifying at least one of a document moving through a data loss vector or a request to move the document through the data loss vector; and determining whether the document is a sensitive document or a non-sensitive document based on application of the MLD profile.
| 0.785616 |
7,571,110 | 25 | 26 |
25. The method of claim 24 , further comprising the step of: providing a compensation report.
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25. The method of claim 24 , further comprising the step of: providing a compensation report. 26. The method of claim 25 , said compensation report is constrained by at least one of: an attribute of said user profile; and a reporting goal.
| 0.5 |
4,422,642 | 1 | 6 |
1. A novelty educational puzzle for instructing users in multidirectional, mathematical, grammatical and color skills, said apparatus comprising: a plurality of interlocking yet detachable puzzle piece means; indicia means comprising written information situated upon said plurality of interlocking puzzle piece means; said puzzle pieces being capable of interlocking with others of said plurality of puzzle pieces in both horizontal and vertical columns respectively; assembly restriction means operably associated with said puzzle piece means so as to allow assembly of said puzzle piece means in both the vertical and horizontal directions only when said indicia means is in proper sequence; said indicia means providing information in both the vertical and horizontal directions; said indicia means information comprising initial information, and resultant information proximate to two edges of said puzzle; and said indicia means, said interlocking puzzle piece means, and said assembly restriction means cooperating to provide a puzzle that is restrictive in formation to ensure correct assembly as to both intermediate information and end information in both the vertical and horizontal directions.
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1. A novelty educational puzzle for instructing users in multidirectional, mathematical, grammatical and color skills, said apparatus comprising: a plurality of interlocking yet detachable puzzle piece means; indicia means comprising written information situated upon said plurality of interlocking puzzle piece means; said puzzle pieces being capable of interlocking with others of said plurality of puzzle pieces in both horizontal and vertical columns respectively; assembly restriction means operably associated with said puzzle piece means so as to allow assembly of said puzzle piece means in both the vertical and horizontal directions only when said indicia means is in proper sequence; said indicia means providing information in both the vertical and horizontal directions; said indicia means information comprising initial information, and resultant information proximate to two edges of said puzzle; and said indicia means, said interlocking puzzle piece means, and said assembly restriction means cooperating to provide a puzzle that is restrictive in formation to ensure correct assembly as to both intermediate information and end information in both the vertical and horizontal directions. 6. The invention according to claim 1 wherein: portions of said puzzle piece means are of a particular color to describe a particular color sequence along a horizontal direction so as to indicate proper assembly of said puzzle pieces in said horizontal direction.
| 0.77598 |
8,639,937 | 12 | 19 |
12. An apparatus for generating a password for a user during an enrollment phase, comprising: a memory; and at least one processor, coupled to the memory, operative to: present said user with a plurality of topics; receive a user selection of at least one topic; receive one or more personal details from said user associated with said at least one selected topic as a proposed password; perform an Internet search using a query containing one or more keywords derived from said personal details of said proposed password, wherein said Internet search searches contents of the Internet across a plurality of web sites using a search engine tool; evaluate results of said search relative to one or more predefined thresholds applicable to said at least one selected topic; reject said proposed password when said user is correlated with said proposed password if one or more of said predefined thresholds are exceeded by said results; and recording said one or more personal details as a password for said user if said proposed password is not rejected.
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12. An apparatus for generating a password for a user during an enrollment phase, comprising: a memory; and at least one processor, coupled to the memory, operative to: present said user with a plurality of topics; receive a user selection of at least one topic; receive one or more personal details from said user associated with said at least one selected topic as a proposed password; perform an Internet search using a query containing one or more keywords derived from said personal details of said proposed password, wherein said Internet search searches contents of the Internet across a plurality of web sites using a search engine tool; evaluate results of said search relative to one or more predefined thresholds applicable to said at least one selected topic; reject said proposed password when said user is correlated with said proposed password if one or more of said predefined thresholds are exceeded by said results; and recording said one or more personal details as a password for said user if said proposed password is not rejected. 19. The apparatus of claim 12 , wherein said one or more personal details are related to an experience of said user in connection with a public event.
| 0.646226 |
8,612,434 | 33 | 34 |
33. A method for a server to identify social profiles having relevance to a first file, comprising: receiving, by the server, a plurality of social profiles, wherein the plurality of social profiles were generated by a subject matter search; generating, by the server, a list of inquiries based on the plurality of social profiles, wherein the list of inquiries includes search terms used in the subject matter search that identified the first file and the plurality of social profiles, thereby establishing the relationship between the first file and the plurality of social profiles by text analysis or filtering; providing, by the server, the list of inquiries to an author of the first file, wherein the first file is a one of the plurality of social profiles; receiving, by the server, from the author at least one response to the list of inquiries; selecting, by the server, a subset of the plurality of social profiles based on the at least one response; storing, by the server, the selected subset of the plurality of social profiles for access if the first file is selected.
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33. A method for a server to identify social profiles having relevance to a first file, comprising: receiving, by the server, a plurality of social profiles, wherein the plurality of social profiles were generated by a subject matter search; generating, by the server, a list of inquiries based on the plurality of social profiles, wherein the list of inquiries includes search terms used in the subject matter search that identified the first file and the plurality of social profiles, thereby establishing the relationship between the first file and the plurality of social profiles by text analysis or filtering; providing, by the server, the list of inquiries to an author of the first file, wherein the first file is a one of the plurality of social profiles; receiving, by the server, from the author at least one response to the list of inquiries; selecting, by the server, a subset of the plurality of social profiles based on the at least one response; storing, by the server, the selected subset of the plurality of social profiles for access if the first file is selected. 34. The method of claim 33 , further comprising providing, by the server, the selected subset of the plurality of social profiles to a user that selects the first file.
| 0.5 |
8,392,193 | 6 | 7 |
6. The method of claim 1 , further comprising: providing a first prompt for information to the caller; and receiving the first voice input from the caller based on the first prompt, where the generating a second speech recognition result includes: using the first speech recognition result to select at least the first one of the first group of rules.
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6. The method of claim 1 , further comprising: providing a first prompt for information to the caller; and receiving the first voice input from the caller based on the first prompt, where the generating a second speech recognition result includes: using the first speech recognition result to select at least the first one of the first group of rules. 7. The method of claim 6 , further comprising: providing a second prompt for information to the caller; and receiving the second voice input from the caller based on the second prompt, where the generating a second speech recognition result further includes: using the second voice input to select at least one other rule associated with performing speech recognition on the second voice input.
| 0.5 |
8,057,300 | 2 | 3 |
2. The method of claim 1 , wherein said displaying of odds provides customizable casino columns.
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2. The method of claim 1 , wherein said displaying of odds provides customizable casino columns. 3. The method of claim 2 , wherein said casino columns can be moved by a click and drag method.
| 0.583333 |
8,332,231 | 33 | 45 |
33. A system for managing interactions with a person, comprising a processor and a memory in communication with the processor, the memory storing programming instructions executable by the processor to: receive data representing a multi-utterance transaction with the person, the data having multiple elements, a subset of the elements including sensitive customer data; portion the multi-utterance transaction into discrete, logical utterance units; automatically send the utterance units to two or more intent analyst user interface devices, each user interface device being configured to reproduce the utterance in a form perceptible to an intent analyst, the utterance units being distributed so that no intent analyst is ever exposed to more than one of said subset of the elements including sensitive customer data; receive intent input from each intent analyst user interface device, where the intent input characterizes an intent analyst's interpretation of the person's intent expressed in the utterance, automatically communicate a message to the person in perceptible form and in substantially real time relative to the receiving function, the message being automatically selected from among a predetermined set of possible messages as a function of the intent input received from the two or more intent analyst user interface devices.
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33. A system for managing interactions with a person, comprising a processor and a memory in communication with the processor, the memory storing programming instructions executable by the processor to: receive data representing a multi-utterance transaction with the person, the data having multiple elements, a subset of the elements including sensitive customer data; portion the multi-utterance transaction into discrete, logical utterance units; automatically send the utterance units to two or more intent analyst user interface devices, each user interface device being configured to reproduce the utterance in a form perceptible to an intent analyst, the utterance units being distributed so that no intent analyst is ever exposed to more than one of said subset of the elements including sensitive customer data; receive intent input from each intent analyst user interface device, where the intent input characterizes an intent analyst's interpretation of the person's intent expressed in the utterance, automatically communicate a message to the person in perceptible form and in substantially real time relative to the receiving function, the message being automatically selected from among a predetermined set of possible messages as a function of the intent input received from the two or more intent analyst user interface devices. 45. The system of claim 33 , wherein the programming instructions are further executable by the processor to objectively rate the speed and accuracy of the intent input from at least one of the intent analysts.
| 0.734848 |
8,935,303 | 1 | 10 |
1. A method of optimizing an output ranked list of recommended items given an input user, an input item list, and an input context, comprising: providing a multidimensional data set that comprises information of interactions from a plurality of users with a plurality of items and in a plurality of contexts; factorizing the multidimensional data set into a number of two-dimensional matrices, the number of two-dimensional matrices being equivalent to the number of dimensions that the multidimensional data set has; computing a mathematical recommendation model by optimizing an objective function over the two-dimensional matrices into which the multidimensional data set has been factorized, the recommendation model comprising a score value for each combination of user, item and context; and computing the output ranked list by applying the computed recommendation model to the input user, input item list and input context, wherein the recommendation model further comprises a ranked list of recommended items for each user and context, being each ranked list determined by sorting the scores of the plurality of items for each user and context; and wherein the objective function is a continuous function with infinite continuous derivatives that quantifies a relevance of the recommended items of each ranked list of the recommendation model, calculated over at least some of the plurality of users and over at least some of the plurality of contexts.
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1. A method of optimizing an output ranked list of recommended items given an input user, an input item list, and an input context, comprising: providing a multidimensional data set that comprises information of interactions from a plurality of users with a plurality of items and in a plurality of contexts; factorizing the multidimensional data set into a number of two-dimensional matrices, the number of two-dimensional matrices being equivalent to the number of dimensions that the multidimensional data set has; computing a mathematical recommendation model by optimizing an objective function over the two-dimensional matrices into which the multidimensional data set has been factorized, the recommendation model comprising a score value for each combination of user, item and context; and computing the output ranked list by applying the computed recommendation model to the input user, input item list and input context, wherein the recommendation model further comprises a ranked list of recommended items for each user and context, being each ranked list determined by sorting the scores of the plurality of items for each user and context; and wherein the objective function is a continuous function with infinite continuous derivatives that quantifies a relevance of the recommended items of each ranked list of the recommendation model, calculated over at least some of the plurality of users and over at least some of the plurality of contexts. 10. The method of claim 1 wherein the plurality of contexts comprise at least one context variable selected from a group comprising: time, date, season, location, activity, weather, emotional state, social network, user device, company and speed.
| 0.599349 |
9,098,297 | 1 | 14 |
1. An apparatus, comprising: a hardware accelerator capable of being interfaced with a processor for accelerating the execution of an application written utilizing an object-oriented programming language by offloading the execution of the application from the processor to the hardware accelerator; and a software stub that controls interfacing of the hardware accelerator with the processor; wherein the object-oriented programming language includes at least one of a Java programming language and C++; wherein the apparatus is operable such that object requests made by a thread running on the processor are offloaded to the hardware accelerator for allowing the processor to process instructions.
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1. An apparatus, comprising: a hardware accelerator capable of being interfaced with a processor for accelerating the execution of an application written utilizing an object-oriented programming language by offloading the execution of the application from the processor to the hardware accelerator; and a software stub that controls interfacing of the hardware accelerator with the processor; wherein the object-oriented programming language includes at least one of a Java programming language and C++; wherein the apparatus is operable such that object requests made by a thread running on the processor are offloaded to the hardware accelerator for allowing the processor to process instructions. 14. The apparatus of claim 1 , wherein the hardware accelerator implements at least one Java programming language application framework, wherein the at least one Java programming language application framework comprises a set of classes that embodies an abstract design for solutions to a number of related problems.
| 0.697897 |
7,693,951 | 1 | 8 |
1. A data processing system for managing messages, the data processing system comprising: receiving means for receiving a request to store a plurality of instant messages from a particular chat session with a particular contact; determining means for determining whether the particular contact has a listing on a contact list comprising a plurality of contacts, wherein each contact of the plurality of contacts having a listing on the contact list has an associated folder in a set of folders for storing chat sessions of the associated contact, and wherein each folder in the set of folders is linked with the listing of its associated contact on the contact list through a graphical user interface; and selecting means, responsive to determining that the particular contact has a listing on the contact list, for selecting the listing of the particular contact from the contact list to store the plurality of instant messages from the particular chat session in the associated folder linked with the listing of the particular contact on the contact list.
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1. A data processing system for managing messages, the data processing system comprising: receiving means for receiving a request to store a plurality of instant messages from a particular chat session with a particular contact; determining means for determining whether the particular contact has a listing on a contact list comprising a plurality of contacts, wherein each contact of the plurality of contacts having a listing on the contact list has an associated folder in a set of folders for storing chat sessions of the associated contact, and wherein each folder in the set of folders is linked with the listing of its associated contact on the contact list through a graphical user interface; and selecting means, responsive to determining that the particular contact has a listing on the contact list, for selecting the listing of the particular contact from the contact list to store the plurality of instant messages from the particular chat session in the associated folder linked with the listing of the particular contact on the contact list. 8. The data processing system of claim 1 , wherein instant messages in a folder, within the set of folders, are stored in files.
| 0.801242 |
8,600,731 | 4 | 10 |
4. The system of claim 1 , wherein the cultural cue relates to at least one of a cultural trait, a cultural custom, a cultural tradition, or a cultural behavior.
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4. The system of claim 1 , wherein the cultural cue relates to at least one of a cultural trait, a cultural custom, a cultural tradition, or a cultural behavior. 10. The system of claim 4 , further comprising a virtual presence adjuster that manipulates a virtual presence associated with the virtually represented user within the telepresence based upon at least one of the translated communication or the identified cultural cue.
| 0.648825 |
8,719,268 | 10 | 12 |
10. A computer program product for enabling parallel processing of an XML document without pre-parsing, wherein the XML document has associated metadata, comprising: a tangible computer readable storage device having computer readable program code embodied therewith, the computer readable program code comprising computer readable program code configured to: generate an XML document from input data; generate metadata associated with the XML document at a predetermined size interval of the XML document during the generation of the XML document, wherein the metadata comprises information that identifies at least N partition point evenly distributed throughout the XML document that enables the XML document to be partitioned without parsing into N partitions of the XML document corresponding to the at least N partition points for parallel processing; and store the XML document and the metadata.
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10. A computer program product for enabling parallel processing of an XML document without pre-parsing, wherein the XML document has associated metadata, comprising: a tangible computer readable storage device having computer readable program code embodied therewith, the computer readable program code comprising computer readable program code configured to: generate an XML document from input data; generate metadata associated with the XML document at a predetermined size interval of the XML document during the generation of the XML document, wherein the metadata comprises information that identifies at least N partition point evenly distributed throughout the XML document that enables the XML document to be partitioned without parsing into N partitions of the XML document corresponding to the at least N partition points for parallel processing; and store the XML document and the metadata. 12. The computer program product of claim 10 , wherein the metadata comprises the start locations of one or more nodes that are evenly spaced throughout the XML. document.
| 0.5 |
8,341,665 | 18 | 19 |
18. A method of providing information, comprising: providing a video stream; applying automatic image recognition to the video stream; selecting information responsive to the image recognition; and displaying the selected information within ten minutes from performing the image recognition leading to selection of the displayed information, wherein providing the video stream comprises providing a video stream acquired by a camera included in a mobile communication terminal.
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18. A method of providing information, comprising: providing a video stream; applying automatic image recognition to the video stream; selecting information responsive to the image recognition; and displaying the selected information within ten minutes from performing the image recognition leading to selection of the displayed information, wherein providing the video stream comprises providing a video stream acquired by a camera included in a mobile communication terminal. 19. A method according to claim 18 , wherein displaying the selected information comprises displaying within ten minutes from acquiring images of the video stream leading to the selection of the information, by a video camera.
| 0.5 |
10,078,750 | 14 | 15 |
14. A method of finding a compromised social networking account, the method comprising: receiving a first set of social messages in a computer system, the first set of social messages being received over the Internet from a social networking site of a social networking service; identifying a first set of compromised social networking accounts from the first set of social messages; extracting keywords indicative of a compromised social networking account from the first set of compromised social networking account; searching the social networking site for a second set of social messages that contain the keywords; and receiving in the computer system search results responsive to the searching of the social networking site, the search results including the second set of social messages.
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14. A method of finding a compromised social networking account, the method comprising: receiving a first set of social messages in a computer system, the first set of social messages being received over the Internet from a social networking site of a social networking service; identifying a first set of compromised social networking accounts from the first set of social messages; extracting keywords indicative of a compromised social networking account from the first set of compromised social networking account; searching the social networking site for a second set of social messages that contain the keywords; and receiving in the computer system search results responsive to the searching of the social networking site, the search results including the second set of social messages. 15. The method of claim 14 , wherein the first set of social messages comprise tweet messages.
| 0.840678 |
9,871,918 | 15 | 17 |
15. A non-transitory computer-readable medium with an executable program stored thereon for providing an evaluation to a customer service representative regarding his performance during an interaction with a customer, wherein the program instructs a processing element of a computing device to perform the following: comparing a customer service representative transcript that includes words which are spoken by the customer service representative during an oral conversation between the customer service representative and the customer with a plurality of positive words and a plurality of negative words; generating and displaying on a display a first score that varies according to the occurrence of each word spoken by the customer service representative that matches one of the positive words and the occurrence of each word spoken by the customer service representative that matches one of the negative words to facilitate an objective evaluation of the customer interaction; generating a plurality of voice prints, each voice print derived from one of a plurality of periods of time during the conversation, comparing each voice print with a voice print of the customer service representative to determine an identity of the voice print, indicating a first set of voice prints that are associated with the customer service representative and a second set of voice prints that are associated with the customer, matching the first set of voice prints with words from a text stream that are spoken by the customer service representative, and displaying on the display a list of words from the customer service representative transcript that match one or more positive words, and a list of words from the customer service representative transcript that match one or more negative words.
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15. A non-transitory computer-readable medium with an executable program stored thereon for providing an evaluation to a customer service representative regarding his performance during an interaction with a customer, wherein the program instructs a processing element of a computing device to perform the following: comparing a customer service representative transcript that includes words which are spoken by the customer service representative during an oral conversation between the customer service representative and the customer with a plurality of positive words and a plurality of negative words; generating and displaying on a display a first score that varies according to the occurrence of each word spoken by the customer service representative that matches one of the positive words and the occurrence of each word spoken by the customer service representative that matches one of the negative words to facilitate an objective evaluation of the customer interaction; generating a plurality of voice prints, each voice print derived from one of a plurality of periods of time during the conversation, comparing each voice print with a voice print of the customer service representative to determine an identity of the voice print, indicating a first set of voice prints that are associated with the customer service representative and a second set of voice prints that are associated with the customer, matching the first set of voice prints with words from a text stream that are spoken by the customer service representative, and displaying on the display a list of words from the customer service representative transcript that match one or more positive words, and a list of words from the customer service representative transcript that match one or more negative words. 17. The non-transitory computer-readable medium of claim 15 , wherein the text stream is derived from a digitized data stream corresponding to the oral conversation between the customer and the customer service representative.
| 0.906146 |
8,438,590 | 7 | 8 |
7. A system for measuring audience reaction to media content, the system comprising: an audience reaction server connectable to a network at a headend location of the network remote from end user terminal locations where individuals forming an audience view media content including video, said audience reaction server having at least one microprocessor with software for aggregating data of emotional responses of the individuals of the audience obtained at the end user terminal locations as the individuals view the media content to identify an emotional response of the audience as a whole during at least one predetermined segment of the media content displayed to the individuals, wherein said software generates a probability density function of emotional responses.
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7. A system for measuring audience reaction to media content, the system comprising: an audience reaction server connectable to a network at a headend location of the network remote from end user terminal locations where individuals forming an audience view media content including video, said audience reaction server having at least one microprocessor with software for aggregating data of emotional responses of the individuals of the audience obtained at the end user terminal locations as the individuals view the media content to identify an emotional response of the audience as a whole during at least one predetermined segment of the media content displayed to the individuals, wherein said software generates a probability density function of emotional responses. 8. A system according to claim 7 , wherein said audience reaction server has a receiver for receiving transmissions of emotional response source data from each of the end user terminal locations.
| 0.88676 |
9,971,839 | 1 | 2 |
1. A computer-implemented method comprising: hosting, using one or more computing devices, a social network comprising a plurality of communities associated with a plurality of users; identifying, from the plurality of communities, a set of communities that a first user belongs to; determining, using the one or more computing devices, a list of classifications for the first user based upon the set of communities; determining a degree of personalization based on an amount that the first user has participated in each community of the set of communities; determining, using the one or more computing devices, personalization information from the list of classifications associated with the first user and the degree of personalization; generating, using the one or more computing devices, a personalized search query based upon the personalization information; and searching, using the one or more computing devices, a content index using the personalized search query to produce a search result set comprising documents relevant to the personalized search query.
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1. A computer-implemented method comprising: hosting, using one or more computing devices, a social network comprising a plurality of communities associated with a plurality of users; identifying, from the plurality of communities, a set of communities that a first user belongs to; determining, using the one or more computing devices, a list of classifications for the first user based upon the set of communities; determining a degree of personalization based on an amount that the first user has participated in each community of the set of communities; determining, using the one or more computing devices, personalization information from the list of classifications associated with the first user and the degree of personalization; generating, using the one or more computing devices, a personalized search query based upon the personalization information; and searching, using the one or more computing devices, a content index using the personalized search query to produce a search result set comprising documents relevant to the personalized search query. 2. The computer-implemented method of claim 1 , wherein determining the personalization information further comprises receiving a suggested search term from a member of the set of communities, wherein the personalized search query, generated based upon the personalization information, includes the suggested search term, and wherein searching the content index to produce the search result set is based upon the personalized search query including the suggested search term.
| 0.5 |
7,694,226 | 4 | 5 |
4. The method of claim 1 , wherein the step of determining narrative content comprises identifying a plurality of nodes.
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4. The method of claim 1 , wherein the step of determining narrative content comprises identifying a plurality of nodes. 5. The method of claim 4 , wherein the knowledge base is used to form inference queries that are based upon at least two levels of relative significance with respect to the associated person.
| 0.5 |
10,042,935 | 1 | 9 |
1. A method comprising: identifying, at a processor of a computing device, at least one style attribute associated with a first image in a design; receiving, at the processor, a first search query for a second image during editing of the design, the first search query including at least a first search term, wherein the first search query is received subsequent to identifying the at least one style attribute; generating, by the processor, a second search query for the second image by adding to the first search query at least one term that is based on the at least one style attribute; searching at least one database based on the second search query instead of the first search query to generate search results, wherein a first search result of the search results is ranked higher than a second search result of the search results based on a determination that the first search result more closely matches the at least one style attribute associated with the first image than the second search result, and wherein determining that the first search result more closely matches the at least one style attribute associated with the first image than the second search result comprises: generating a first hash value of one or more style attributes associated with the first search result; generating a second hash value of one or more style attributes associated with the second search result; generating a third hash value of the at least one style attribute associated with the first image; and determining that a first distance between the first hash value and the third hash value is less than a second distance between the second hash value and the third hash value; and outputting the search results, each search result indicating a respective image.
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1. A method comprising: identifying, at a processor of a computing device, at least one style attribute associated with a first image in a design; receiving, at the processor, a first search query for a second image during editing of the design, the first search query including at least a first search term, wherein the first search query is received subsequent to identifying the at least one style attribute; generating, by the processor, a second search query for the second image by adding to the first search query at least one term that is based on the at least one style attribute; searching at least one database based on the second search query instead of the first search query to generate search results, wherein a first search result of the search results is ranked higher than a second search result of the search results based on a determination that the first search result more closely matches the at least one style attribute associated with the first image than the second search result, and wherein determining that the first search result more closely matches the at least one style attribute associated with the first image than the second search result comprises: generating a first hash value of one or more style attributes associated with the first search result; generating a second hash value of one or more style attributes associated with the second search result; generating a third hash value of the at least one style attribute associated with the first image; and determining that a first distance between the first hash value and the third hash value is less than a second distance between the second hash value and the third hash value; and outputting the search results, each search result indicating a respective image. 9. The method of claim 1 , wherein at least one of the search results is associated with a style attribute that is automatically determined based on one or more computer vision processes, a neural network-based classifier, a machine learning algorithm, or a combination thereof.
| 0.765203 |
8,140,469 | 10 | 15 |
10. A computer program product in a non-transitory computer recordable medium, said computer program product comprising: computer usable program code for creating an automated processing task, said computer usable program code comprising: first instructions for creating a recording of user input actions, wherein the user input actions are collected by a hook, and wherein the recording is generated by a filter function associated with the hook, said user input actions directed to commanding a computer to execute a processing task; second instructions for extracting, from said recording, a set of commands necessary to perform said automated processing task, wherein said automated processing task is an automated version of said processing task; third instructions for translating said set of commands to a workflow language to create a translated command set, wherein said translated command set is used to perform said automated processing task by said computer; fourth instructions for combining said translated command set with an additional translated command set to form a combined process, wherein the additional translated command set is created from a second recording of a second processing task; and fifth instructions for storing said translated command set in a storage device as a subroutine.
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10. A computer program product in a non-transitory computer recordable medium, said computer program product comprising: computer usable program code for creating an automated processing task, said computer usable program code comprising: first instructions for creating a recording of user input actions, wherein the user input actions are collected by a hook, and wherein the recording is generated by a filter function associated with the hook, said user input actions directed to commanding a computer to execute a processing task; second instructions for extracting, from said recording, a set of commands necessary to perform said automated processing task, wherein said automated processing task is an automated version of said processing task; third instructions for translating said set of commands to a workflow language to create a translated command set, wherein said translated command set is used to perform said automated processing task by said computer; fourth instructions for combining said translated command set with an additional translated command set to form a combined process, wherein the additional translated command set is created from a second recording of a second processing task; and fifth instructions for storing said translated command set in a storage device as a subroutine. 15. The computer program product of claim 10 , wherein said second instructions extracts information regarding applications invoked, fields entered, virtual local area networks (VLANs), and subroutines called.
| 0.5 |
9,318,108 | 47 | 48 |
47. The computer-readable medium of claim 3 , wherein the operations further comprise: receiving a natural language question from a user; and concurrently displaying an echo of the natural language question, a natural language answer to the natural language question, and an excerpt retrieved from an information source based on which the natural language answer is produced.
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47. The computer-readable medium of claim 3 , wherein the operations further comprise: receiving a natural language question from a user; and concurrently displaying an echo of the natural language question, a natural language answer to the natural language question, and an excerpt retrieved from an information source based on which the natural language answer is produced. 48. The computer-readable medium of claim 47 , wherein the natural language question is related to weather, the natural language answer describes the weather in a natural language format, and the excerpt is a weather forecast excerpt.
| 0.5 |
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