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8,521,672 | 13 | 18 | 13. One or more computer-readable storage media having computer-executable instructions embodied thereon that, when executed by at least one processor, cause the at least one processor to perform acts comprising: scoring a plurality of alteration candidates for a query, the query comprising multiple query terms and each of the alteration candidates comprising multiple alteration terms, the scoring comprising, for each of the alteration candidates, performing the following: computing one or more intra-candidate dependent feature scores based on dependencies between each term of the candidate and each other term of the candidate, the computation of the one or more intra-candidate dependent feature scores being based on one or more word count models; computing one or more query-dependent feature scores based on dependencies between each alteration term and the query overall, the computation of the one or more query-dependent feature scores being based on one or more translation models; and computing a candidate score for the candidate using the feature scores; determining for each of the candidates whether to select the candidate to expand the query, the determination for each candidate using a corresponding candidate score; and for each candidate selected to expand the query, using the selected candidate to expand the query. | 13. One or more computer-readable storage media having computer-executable instructions embodied thereon that, when executed by at least one processor, cause the at least one processor to perform acts comprising: scoring a plurality of alteration candidates for a query, the query comprising multiple query terms and each of the alteration candidates comprising multiple alteration terms, the scoring comprising, for each of the alteration candidates, performing the following: computing one or more intra-candidate dependent feature scores based on dependencies between each term of the candidate and each other term of the candidate, the computation of the one or more intra-candidate dependent feature scores being based on one or more word count models; computing one or more query-dependent feature scores based on dependencies between each alteration term and the query overall, the computation of the one or more query-dependent feature scores being based on one or more translation models; and computing a candidate score for the candidate using the feature scores; determining for each of the candidates whether to select the candidate to expand the query, the determination for each candidate using a corresponding candidate score; and for each candidate selected to expand the query, using the selected candidate to expand the query. 18. The one or more computer-readable storage media of claim 13 , wherein the candidate score computation for each candidate comprises computing one or more unigram feature scores based on the alteration terms. | 0.758065 |
7,519,589 | 67 | 68 | 67. A method to enable improved analysis and use of sociological data, the method comprising: identifying causal relationships between a plurality of documents; identifying a plurality of characteristics of a communication, including a modality used, actors involved, and proximate events of relevance; enabling a user to query based on all of the characteristics available; and displaying a plurality of controls for a current user interface display, the controls being defined by a document type currently being displayed. | 67. A method to enable improved analysis and use of sociological data, the method comprising: identifying causal relationships between a plurality of documents; identifying a plurality of characteristics of a communication, including a modality used, actors involved, and proximate events of relevance; enabling a user to query based on all of the characteristics available; and displaying a plurality of controls for a current user interface display, the controls being defined by a document type currently being displayed. 68. The method of claim 67 , further comprising: adding the controls defined by the current document type to a list of available global controls if multiple items of the document type are part of a current collection of items. | 0.5 |
8,560,322 | 7 | 10 | 7. The mobile terminal of claim 2 , wherein the memory further includes a thesaurus database and wherein the controller searches the thesaurus database for at least one word having the meaning associated with the voice name inputted via the microphone, tags the searched at least one word to the image and then stores the searched word tagged image in the memory. | 7. The mobile terminal of claim 2 , wherein the memory further includes a thesaurus database and wherein the controller searches the thesaurus database for at least one word having the meaning associated with the voice name inputted via the microphone, tags the searched at least one word to the image and then stores the searched word tagged image in the memory. 10. The mobile terminal of claim 7 , wherein the controller writes the searched at least one word in attribute information of the image. | 0.759717 |
9,164,778 | 1 | 5 | 1. A method for modal progress dialog, implement by processor, comprising: receiving an action request associated with a resource; processing the action on the resource; determining when a progress dialog is to be displayed, the determination triggered when a predicted duration of processing the action request exceeds a threshold, where the predicted duration is a function of any one or more of: the action requested, the resource associated with the action requested, a location of the resource, a measured time to execute a portion of the action; displaying the progress dialog when the determination is triggered; and returning a result of the action request. | 1. A method for modal progress dialog, implement by processor, comprising: receiving an action request associated with a resource; processing the action on the resource; determining when a progress dialog is to be displayed, the determination triggered when a predicted duration of processing the action request exceeds a threshold, where the predicted duration is a function of any one or more of: the action requested, the resource associated with the action requested, a location of the resource, a measured time to execute a portion of the action; displaying the progress dialog when the determination is triggered; and returning a result of the action request. 5. The method for modal progress dialog of claim 1 , where the requested action is any of: a file system operation, a network operation and an input/output operation. | 0.536313 |
9,569,213 | 10 | 13 | 10. A computer-implemented method comprising: receiving at least a portion of an activity stream associated with an asset-modifying workflow and an abstraction of an asset associated with the asset-modifying workflow; determining a contextual identifier to associate with the received abstraction of the asset by generating a similarity score for each of a plurality of contextually identified abstractions when compared to the received abstraction to identify the contextual identifier from a first contextually identified abstraction from the plurality of contextually identified abstractions having a highest similarity score; determining a modification to the asset-modifying workflow based on the determined contextual identifier; and communicating a signal operable to apply the determined modification to the asset-modifying workflow. | 10. A computer-implemented method comprising: receiving at least a portion of an activity stream associated with an asset-modifying workflow and an abstraction of an asset associated with the asset-modifying workflow; determining a contextual identifier to associate with the received abstraction of the asset by generating a similarity score for each of a plurality of contextually identified abstractions when compared to the received abstraction to identify the contextual identifier from a first contextually identified abstraction from the plurality of contextually identified abstractions having a highest similarity score; determining a modification to the asset-modifying workflow based on the determined contextual identifier; and communicating a signal operable to apply the determined modification to the asset-modifying workflow. 13. The method of claim 10 , wherein the visual category is one of a landscape, a portrait, and a design. | 0.770742 |
7,496,834 | 17 | 18 | 17. The method of claim 16 , wherein said invalid element is defined in said prescribed syntax. | 17. The method of claim 16 , wherein said invalid element is defined in said prescribed syntax. 18. The method of claim 17 , wherein said syntax is XML schema. | 0.5 |
9,384,236 | 1 | 9 | 1. A method of operating on database queries, comprising: identifying a parameterized input query in a first database query language, wherein the parameterized input query includes one or more parameter placeholders, each parameter placeholder defining a parameter name and a declared parameter type; generating, for each parameter placeholder in the parameterized input query in the first database query language, a random value of the declared parameter type; constructing a concrete instance of the parameterized input query in the first database query language, where the concrete instance of the parameterized input query replaces each parameter placeholder with the corresponding generated random value of the declared parameter type; generating, from the concrete instance of the parameterized input query in the first database query language, a translated output query in a second database query language different from the first query language, the translated output query including the generated random value of the declared parameter type; and replacing the generated random values within the translated output query in the second database query language with a placeholder value associated with the second database query language. | 1. A method of operating on database queries, comprising: identifying a parameterized input query in a first database query language, wherein the parameterized input query includes one or more parameter placeholders, each parameter placeholder defining a parameter name and a declared parameter type; generating, for each parameter placeholder in the parameterized input query in the first database query language, a random value of the declared parameter type; constructing a concrete instance of the parameterized input query in the first database query language, where the concrete instance of the parameterized input query replaces each parameter placeholder with the corresponding generated random value of the declared parameter type; generating, from the concrete instance of the parameterized input query in the first database query language, a translated output query in a second database query language different from the first query language, the translated output query including the generated random value of the declared parameter type; and replacing the generated random values within the translated output query in the second database query language with a placeholder value associated with the second database query language. 9. The method of claim 1 , further comprising saving a query record in a cache, wherein the query record relates the parameterized input query to the translated output query. | 0.919519 |
10,122,535 | 8 | 10 | 8. A computing device comprising: at least one processor; and a data store coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to perform operations comprising: receiving, at the computing device, a document designated for notarization and identification information including a photograph; requesting, from a server, a code-word; activating a camera on the computing device; prompting a user of the computing device to center an image displayed on the computing device from the camera on the user and to sign and write the code-word on a touch input of the computing device; capturing a photograph of the user and a signature of the user that includes the code-word; superimposing the signature of the user including the code-word on the photograph of the user to permit the server to verify a contemporaneousness of the photograph of the user with the signature of the user based on determining that the signature of the user includes the code-word; sending, to the server for notarization, the document designated for notarization, the identification information, and the photograph of the user superimposed with the signature of the user including the code-word. | 8. A computing device comprising: at least one processor; and a data store coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to perform operations comprising: receiving, at the computing device, a document designated for notarization and identification information including a photograph; requesting, from a server, a code-word; activating a camera on the computing device; prompting a user of the computing device to center an image displayed on the computing device from the camera on the user and to sign and write the code-word on a touch input of the computing device; capturing a photograph of the user and a signature of the user that includes the code-word; superimposing the signature of the user including the code-word on the photograph of the user to permit the server to verify a contemporaneousness of the photograph of the user with the signature of the user based on determining that the signature of the user includes the code-word; sending, to the server for notarization, the document designated for notarization, the identification information, and the photograph of the user superimposed with the signature of the user including the code-word. 10. The device of claim 8 , wherein the operations further comprise recording, on the computing device, a video of the user. | 0.857471 |
9,298,778 | 1 | 3 | 1. A computer implemented method, comprising: receiving a stream of content including a plurality of content items; retrieving a plurality of related content items; identifying a topic for at least one of the plurality of the related content items; ranking the topics by relevance to a user and one of the plurality of content items; associating the topic to the content item in the stream of content where the topic is ranked as being relevant to the content item; generating a marker for the topic; generating a user interface including one or more tiles and the generated marker rendered with at least one tile, the one or more tiles being an element on the user interface, each of the one or more tiles corresponding to a content item in the stream of content, and the generated marker being presented as a hash tag rendered with the at least one tile and representing association with the content item on the tile providing the user interface for display; translating a user input from the user interface to navigation of the user interface; and updating the user interface based on the user input navigation and placement of the marker. | 1. A computer implemented method, comprising: receiving a stream of content including a plurality of content items; retrieving a plurality of related content items; identifying a topic for at least one of the plurality of the related content items; ranking the topics by relevance to a user and one of the plurality of content items; associating the topic to the content item in the stream of content where the topic is ranked as being relevant to the content item; generating a marker for the topic; generating a user interface including one or more tiles and the generated marker rendered with at least one tile, the one or more tiles being an element on the user interface, each of the one or more tiles corresponding to a content item in the stream of content, and the generated marker being presented as a hash tag rendered with the at least one tile and representing association with the content item on the tile providing the user interface for display; translating a user input from the user interface to navigation of the user interface; and updating the user interface based on the user input navigation and placement of the marker. 3. The method of claim 1 comprising: receiving input selecting a topic; generating a tile including the related content item corresponding to the topic; and providing the tile for display in situ in place of the content item in the stream of content. | 0.5 |
9,286,392 | 10 | 15 | 10. A method, comprising: receiving a search query comprising at least one query term; identifying a plurality of source documents based on the at least one query term; identifying a relevant portion of a first source document in the plurality of source documents, the relevant portion including a location in the first source document where the at least one query term was found during a search of the first source document; identifying a view window appropriate to depict the relevant portion of the first source document including the location in the first source document where the at least one query term was found during the search of the first source document, wherein an image size of the view window is smaller than an image size of the first source document; preparing a search results image for the relevant portion of the first source document, the search results image having boundaries corresponding to the view window; and causing the search results image to be simultaneously displayed with a set of search results. | 10. A method, comprising: receiving a search query comprising at least one query term; identifying a plurality of source documents based on the at least one query term; identifying a relevant portion of a first source document in the plurality of source documents, the relevant portion including a location in the first source document where the at least one query term was found during a search of the first source document; identifying a view window appropriate to depict the relevant portion of the first source document including the location in the first source document where the at least one query term was found during the search of the first source document, wherein an image size of the view window is smaller than an image size of the first source document; preparing a search results image for the relevant portion of the first source document, the search results image having boundaries corresponding to the view window; and causing the search results image to be simultaneously displayed with a set of search results. 15. The method of claim 10 , wherein the first source document corresponds to an electronic image file. | 0.671975 |
8,600,758 | 3 | 4 | 3. The method of claim 2 , further comprising providing feedback related to the at least one speaker-specific stutter pattern as a speaker-specific profile. | 3. The method of claim 2 , further comprising providing feedback related to the at least one speaker-specific stutter pattern as a speaker-specific profile. 4. The method of claim 3 , further comprising: automatically detecting the at least one stuttered region; and automatically labeling the at least one stuttered region with at least one stutter type. | 0.5 |
10,089,982 | 11 | 12 | 11. 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, the system being separate from and communicatively coupled to a user device, the user device having an application installed which is associated with trigger terms for performing voice actions, the operations comprising: receiving a user utterance for a new voice action; determining multiple candidate transcriptions of the user utterance; determining whether any of the multiple candidate transcriptions contains one or more of the trigger terms; and biasing the system based on the determination, such that the system favors one of the multiple candidate transcriptions that is associated with the new voice action, wherein upon the system receiving the user utterance from the user device, the system sends an action trigger to the user device, the action trigger causing the application to perform the new voice action. | 11. 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, the system being separate from and communicatively coupled to a user device, the user device having an application installed which is associated with trigger terms for performing voice actions, the operations comprising: receiving a user utterance for a new voice action; determining multiple candidate transcriptions of the user utterance; determining whether any of the multiple candidate transcriptions contains one or more of the trigger terms; and biasing the system based on the determination, such that the system favors one of the multiple candidate transcriptions that is associated with the new voice action, wherein upon the system receiving the user utterance from the user device, the system sends an action trigger to the user device, the action trigger causing the application to perform the new voice action. 12. The system of claim 11 , wherein the system is communicatively coupled to multiple user devices, wherein the user utterance is received from one of the multiple user devices, and wherein the system sends the action trigger to the user device of the multiple user devices from which the user utterance was received. | 0.77574 |
7,962,516 | 15 | 20 | 15. An information handling system comprising: one or more processors; a memory accessible by one or more of the processors; one or more nonvolatile storage devices accessible by one or more of the processors; and a set of instructions stored in the memory, wherein one or more processors execute the set of instructions in order to perform actions of: receiving a first normalized taxonomy, the first normalized taxonomy corresponding to a first repository that has a single-level security access that provides a secure login mechanism on a per-repository basis; receiving a second normalized taxonomy, the second normalized taxonomy corresponding to a second repository that has a multi-level security access that provides a secure login mechanism on a per-asset basis; generating a composite taxonomy from the first normalized taxonomy and the second normalized taxonomy; storing the composite taxonomy in one of the nonvolatile storage devices; receiving a taxonomy request from a portal, the taxonomy request including a user identifier; retrieving the composite taxonomy from one of the nonvolatile storage devices in response to receiving the taxonomy request; identifying a user security level associated with the user identifier; filtering the composite taxonomy based upon the user security level, the filtering resulting in a filtered composite taxonomy that includes one or more available nodes that correspond to a subset of assets from a combination of assets included in the first repository and the second repository; and providing the filtered composite taxonomy to the portal. | 15. An information handling system comprising: one or more processors; a memory accessible by one or more of the processors; one or more nonvolatile storage devices accessible by one or more of the processors; and a set of instructions stored in the memory, wherein one or more processors execute the set of instructions in order to perform actions of: receiving a first normalized taxonomy, the first normalized taxonomy corresponding to a first repository that has a single-level security access that provides a secure login mechanism on a per-repository basis; receiving a second normalized taxonomy, the second normalized taxonomy corresponding to a second repository that has a multi-level security access that provides a secure login mechanism on a per-asset basis; generating a composite taxonomy from the first normalized taxonomy and the second normalized taxonomy; storing the composite taxonomy in one of the nonvolatile storage devices; receiving a taxonomy request from a portal, the taxonomy request including a user identifier; retrieving the composite taxonomy from one of the nonvolatile storage devices in response to receiving the taxonomy request; identifying a user security level associated with the user identifier; filtering the composite taxonomy based upon the user security level, the filtering resulting in a filtered composite taxonomy that includes one or more available nodes that correspond to a subset of assets from a combination of assets included in the first repository and the second repository; and providing the filtered composite taxonomy to the portal. 20. The information handling system of claim 15 wherein the first repository and the second repository are federated for sharing assets between the first repository and the second repository. | 0.876615 |
8,494,852 | 8 | 11 | 8. A computer program product, encoded on a non-transitory computer-readable medium, operable to cause one or more processors to perform operations for correcting words in transcribed text, the operations comprising: providing a plurality of transcribed words from a word lattice for display on a computing device; in response to receiving an indication that a particular transcribed word has been selected, providing for display on the computing device a particular alternate phrase from the word lattice, wherein the particular alternate phrase includes alternate words that correspond to (i) the particular transcribed word and (ii) at least one transcribed word preceding the particular transcribed word; and in response to receiving an indication that the particular alternate phrase has been selected, replacing, with the particular transcribed phrase, (i) the particular transcribed word and (ii) the at least one transcribed word preceding the particular transcribed word. | 8. A computer program product, encoded on a non-transitory computer-readable medium, operable to cause one or more processors to perform operations for correcting words in transcribed text, the operations comprising: providing a plurality of transcribed words from a word lattice for display on a computing device; in response to receiving an indication that a particular transcribed word has been selected, providing for display on the computing device a particular alternate phrase from the word lattice, wherein the particular alternate phrase includes alternate words that correspond to (i) the particular transcribed word and (ii) at least one transcribed word preceding the particular transcribed word; and in response to receiving an indication that the particular alternate phrase has been selected, replacing, with the particular transcribed phrase, (i) the particular transcribed word and (ii) the at least one transcribed word preceding the particular transcribed word. 11. The computer program product of claim 8 , wherein the word lattice comprises nodes corresponding to the transcribed words and words included in the particular alternate phrase, edges between the nodes that identify possible paths through the word lattice, and each path has an associated probability of being correct. | 0.66632 |
8,239,226 | 1 | 6 | 1. A method of combining properties and methods from a plurality of different database systems, the method comprising: executing a first broker service to interact with a first data source using a first protocol to generate a first business object, the first business object including a first property and a first method wherein the first property and the first method define the first business object, the first business object being in a declarative format; executing a second broker service to interact with a second data source using a second protocol to generate a second business object, the first protocol being different than the second protocol, the second business object including a second property and a second method wherein the second property and the second method define the second business object, the second business object being in the declarative format; executing an object broker process to generate a first combined business object that includes the first property, the first method, the second property and the second method, wherein the first property, the first method, the second property and the second method define the first combined business object, the object broker process using the first broker service and the second broker service; storing the first combined business object, the first combined business object being in the declarative format accessing the first combined business object through a form; adding additional data to the first combined business object through the form, and if the additional data cannot be stored in the first data source or the second data source, adding an add-on data source to the plurality of different database systems, the add-on data source including properties and methods, and storing the additional data in the add-on data source; executing an object broker process to generate a second combined business object that includes the first property, the first method, the second property, the second method, and at least one property or method from the add-on data source, wherein the first property, the first method, the second property, the second method and the at least one property or method from the add-on data source define the second combined business object, the object broker process using the first broker service and the second broker service; and storing the second combined business object, the second combined business object being in the declarative format. | 1. A method of combining properties and methods from a plurality of different database systems, the method comprising: executing a first broker service to interact with a first data source using a first protocol to generate a first business object, the first business object including a first property and a first method wherein the first property and the first method define the first business object, the first business object being in a declarative format; executing a second broker service to interact with a second data source using a second protocol to generate a second business object, the first protocol being different than the second protocol, the second business object including a second property and a second method wherein the second property and the second method define the second business object, the second business object being in the declarative format; executing an object broker process to generate a first combined business object that includes the first property, the first method, the second property and the second method, wherein the first property, the first method, the second property and the second method define the first combined business object, the object broker process using the first broker service and the second broker service; storing the first combined business object, the first combined business object being in the declarative format accessing the first combined business object through a form; adding additional data to the first combined business object through the form, and if the additional data cannot be stored in the first data source or the second data source, adding an add-on data source to the plurality of different database systems, the add-on data source including properties and methods, and storing the additional data in the add-on data source; executing an object broker process to generate a second combined business object that includes the first property, the first method, the second property, the second method, and at least one property or method from the add-on data source, wherein the first property, the first method, the second property, the second method and the at least one property or method from the add-on data source define the second combined business object, the object broker process using the first broker service and the second broker service; and storing the second combined business object, the second combined business object being in the declarative format. 6. The method of claim 1 , wherein storing the data indicative of the third field in the third data source includes storing the data indicative of the third field in the declarative format. | 0.903473 |
9,218,417 | 1 | 9 | 1. A method for integrating usage analytics with search results for a system, comprising: receiving an ad hoc query using a processor; submitting the query to obtain search results from the system using the processor; obtaining search results from the system; integrating usage analytics with the search results using the processor, wherein the usage analytics comprise analysis of collected usage information from the system; determining a list comprising at least one refiner that reflects a best refinement candidate comprising at least one query property for filtering of the received ad hoc query, wherein determining the list comprises dynamically altering the at least one refiner based on the search results for a current ad hoc query in the usage analytics; and displaying the search results within a search results window, wherein displaying the search results comprises: displaying, in a first portion of the search results window, the at least one refiner and a number of the search results for at least one refiner in the list, and displaying, in a second portion of the search results window, a preview of the search results, the preview comprising a recommended search result corresponding to the at least one refiner. | 1. A method for integrating usage analytics with search results for a system, comprising: receiving an ad hoc query using a processor; submitting the query to obtain search results from the system using the processor; obtaining search results from the system; integrating usage analytics with the search results using the processor, wherein the usage analytics comprise analysis of collected usage information from the system; determining a list comprising at least one refiner that reflects a best refinement candidate comprising at least one query property for filtering of the received ad hoc query, wherein determining the list comprises dynamically altering the at least one refiner based on the search results for a current ad hoc query in the usage analytics; and displaying the search results within a search results window, wherein displaying the search results comprises: displaying, in a first portion of the search results window, the at least one refiner and a number of the search results for at least one refiner in the list, and displaying, in a second portion of the search results window, a preview of the search results, the preview comprising a recommended search result corresponding to the at least one refiner. 9. The method of claim 1 , further comprising obtaining user defined events that specify configurable options for collecting the usage information. | 0.775229 |
8,738,403 | 1 | 8 | 1. A method comprising: processing a free-form narration of a patient encounter provided by a clinician, using a natural language understanding engine implemented by one or more processors, to identify one or more options corresponding respectively to one or more clinical facts that could be extracted from the free-form narration of the patient encounter, the processing comprising analyzing the free-form narration to identify a set of one or more features of at least a portion of the free-form narration, correlating the set of features to one or more abstract semantic concepts, and generating computer-readable data that expresses the one or more abstract semantic concepts as the one or more clinical facts that could be extracted from the free-form narration; providing to a user the one or more options corresponding to the one or more clinical facts corresponding to the one or more abstract semantic concepts identified from the processing of the free-form narration; receiving from the user a selection of a first option of the one or more options, the first option corresponding to a first fact of the one or more clinical facts; and updating a textual representation of the free-form narration, using at least one processor, to identify the first fact as having been ascertained from the patient encounter. | 1. A method comprising: processing a free-form narration of a patient encounter provided by a clinician, using a natural language understanding engine implemented by one or more processors, to identify one or more options corresponding respectively to one or more clinical facts that could be extracted from the free-form narration of the patient encounter, the processing comprising analyzing the free-form narration to identify a set of one or more features of at least a portion of the free-form narration, correlating the set of features to one or more abstract semantic concepts, and generating computer-readable data that expresses the one or more abstract semantic concepts as the one or more clinical facts that could be extracted from the free-form narration; providing to a user the one or more options corresponding to the one or more clinical facts corresponding to the one or more abstract semantic concepts identified from the processing of the free-form narration; receiving from the user a selection of a first option of the one or more options, the first option corresponding to a first fact of the one or more clinical facts; and updating a textual representation of the free-form narration, using at least one processor, to identify the first fact as having been ascertained from the patient encounter. 8. The method of claim 1 , wherein the first fact is implied by a combination of two or more facts specified in the free-form narration as having been ascertained from the patient encounter. | 0.545455 |
9,792,357 | 19 | 21 | 19. A non-transitory computer readable medium for storing computer instructions that, when executed by at least one processor, causes the at least one processor to perform steps of displaying results, the steps comprising: receiving a search query for searching an attribute within a document; providing, for display within a graphical user interface, a plurality of search results matching the attribute in a plurality of snippets, wherein each snippet of the plurality of snippets displays a portion of content from the document, and wherein each portion of content comprises at least one result from the plurality of search results matching the attribute; receiving, based on a user interaction with the graphical user interface, a first user input with respect to a first snippet of the plurality of snippets, wherein the first snippet comprises a first portion of content from the document, and wherein the first portion of content comprises multiple result instances from the plurality of search results; based on receiving the first user input with respect to the first snippet: determining a proximity within the document between two adjacent result instances of the multiple result instances within the first snippet; and further determining a required display space within the graphical user interface for splitting the first snippet into one or more additional snippets, wherein a given size of a display space is based at least in part on a number of result instances comprised in a given snippet; determining that the proximity between the two adjacent result instances is outside a proximity threshold; determining that the required display space within the graphical user interface is within an acceptable range; based on determining that the proximity between the two adjacent result instances is outside the proximity threshold and further based on determining that the required display space within the graphical user interface is within an acceptable range, splitting the first snippet into one or more additional snippets; and providing, for display within the graphical user interface, the one or more additional snippets, wherein each of the one or more additional snippets comprises one or more result instances from among the multiple result instances within the first snippet. | 19. A non-transitory computer readable medium for storing computer instructions that, when executed by at least one processor, causes the at least one processor to perform steps of displaying results, the steps comprising: receiving a search query for searching an attribute within a document; providing, for display within a graphical user interface, a plurality of search results matching the attribute in a plurality of snippets, wherein each snippet of the plurality of snippets displays a portion of content from the document, and wherein each portion of content comprises at least one result from the plurality of search results matching the attribute; receiving, based on a user interaction with the graphical user interface, a first user input with respect to a first snippet of the plurality of snippets, wherein the first snippet comprises a first portion of content from the document, and wherein the first portion of content comprises multiple result instances from the plurality of search results; based on receiving the first user input with respect to the first snippet: determining a proximity within the document between two adjacent result instances of the multiple result instances within the first snippet; and further determining a required display space within the graphical user interface for splitting the first snippet into one or more additional snippets, wherein a given size of a display space is based at least in part on a number of result instances comprised in a given snippet; determining that the proximity between the two adjacent result instances is outside a proximity threshold; determining that the required display space within the graphical user interface is within an acceptable range; based on determining that the proximity between the two adjacent result instances is outside the proximity threshold and further based on determining that the required display space within the graphical user interface is within an acceptable range, splitting the first snippet into one or more additional snippets; and providing, for display within the graphical user interface, the one or more additional snippets, wherein each of the one or more additional snippets comprises one or more result instances from among the multiple result instances within the first snippet. 21. The non-transitory computer readable medium as claimed in claim 19 , further comprising instructions that, when executed by the at least one processor, causes the at least one processor to perform further steps comprising: expanding a content area of a first additional snippet of the one or more additional snippets based on receiving a second user input, the expanding comprising: fetching additional content based on a location of the second input; and updating a display of the first additional snippet to include the fetched additional content. | 0.5 |
8,666,300 | 11 | 12 | 11. A computer program product comprising: a computer-readable storage medium; and program instructions residing in said storage medium for assessing an educational program having multiple ordered activities defining multiple learner tracks by receiving baseline performance index scores and post-activity performance index scores for a plurality of learners engaging in the educational program wherein the baseline performance index scores are derived from a performance index test administered to the learners prior to any of the activities and the post-activity performance index scores are derived from the performance index test administered to the learners after each of the activities, organizing the learners into learner groups based on how many of the activities a learner has completed, for each given learner group calculating a baseline average score using the baseline performance index scores of learners in the given learner group, a post-activity average score for each of the activities which have been completed by learners in the given learner group, and first statistical differences between the baseline average score and a final one of the post-activity average scores for the given learner group and between each post-activity average score and any successive post-activity average scores for the given learner group, assessing the educational program by receiving pre-test scores and corresponding post-test scores for learners who have completed at least one of the activities wherein the pre-test scores and post-test scores are derived from separate activity tests administered prior to and after each activity and the separate activity tests include questions in each of a plurality of domains including at least knowledge, competence, confidence and performance, receiving post-curriculum assessment scores for learners who have completed a selection of the activities, wherein the post-curriculum assessment scores are derived from the performance index test and the separate activity tests administered to the learners no earlier than a designated period of time after completion of the selection of the activities, for each given domain calculating pre-test domain average scores using the pre-test scores for questions in the given domain, post-test domain average scores using the post-test scores for questions in the given domain, and second statistical differences between the pre-test domain average scores and corresponding post-test domain average scores, for each given activity calculating a pre-test activity average score using the pre-test scores for the given activity, a post-test activity average score using the post-test scores for the given activity, and third statistical differences between the pre-test activity average scores and corresponding post-test activity average scores, calculating a post-curriculum assessment average score using the post-curriculum assessment scores, calculating fourth statistical differences between the baseline average score and the post-curriculum assessment average score and between the post-activity average scores and the post-curriculum assessment average score, and identifying any of the first, second, third or fourth statistical differences which are equal to or less than a predetermined probability threshold. | 11. A computer program product comprising: a computer-readable storage medium; and program instructions residing in said storage medium for assessing an educational program having multiple ordered activities defining multiple learner tracks by receiving baseline performance index scores and post-activity performance index scores for a plurality of learners engaging in the educational program wherein the baseline performance index scores are derived from a performance index test administered to the learners prior to any of the activities and the post-activity performance index scores are derived from the performance index test administered to the learners after each of the activities, organizing the learners into learner groups based on how many of the activities a learner has completed, for each given learner group calculating a baseline average score using the baseline performance index scores of learners in the given learner group, a post-activity average score for each of the activities which have been completed by learners in the given learner group, and first statistical differences between the baseline average score and a final one of the post-activity average scores for the given learner group and between each post-activity average score and any successive post-activity average scores for the given learner group, assessing the educational program by receiving pre-test scores and corresponding post-test scores for learners who have completed at least one of the activities wherein the pre-test scores and post-test scores are derived from separate activity tests administered prior to and after each activity and the separate activity tests include questions in each of a plurality of domains including at least knowledge, competence, confidence and performance, receiving post-curriculum assessment scores for learners who have completed a selection of the activities, wherein the post-curriculum assessment scores are derived from the performance index test and the separate activity tests administered to the learners no earlier than a designated period of time after completion of the selection of the activities, for each given domain calculating pre-test domain average scores using the pre-test scores for questions in the given domain, post-test domain average scores using the post-test scores for questions in the given domain, and second statistical differences between the pre-test domain average scores and corresponding post-test domain average scores, for each given activity calculating a pre-test activity average score using the pre-test scores for the given activity, a post-test activity average score using the post-test scores for the given activity, and third statistical differences between the pre-test activity average scores and corresponding post-test activity average scores, calculating a post-curriculum assessment average score using the post-curriculum assessment scores, calculating fourth statistical differences between the baseline average score and the post-curriculum assessment average score and between the post-activity average scores and the post-curriculum assessment average score, and identifying any of the first, second, third or fourth statistical differences which are equal to or less than a predetermined probability threshold. 12. The computer program product of claim 11 wherein: the statistical differences are calculated using paired sample t testing for the performance index test; and the predetermined probability threshold is a P value of 0.05. | 0.732057 |
9,966,063 | 8 | 14 | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: selecting, based on a microphone type and a current location of a speaker, a user profile from a plurality of user profiles, wherein the user profile is associated with the speaker; and performing, via a processor, speech recognition on speech received from the speaker using the user profile. | 8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: selecting, based on a microphone type and a current location of a speaker, a user profile from a plurality of user profiles, wherein the user profile is associated with the speaker; and performing, via a processor, speech recognition on speech received from the speaker using the user profile. 14. The system of claim 8 , wherein the computer-readable storage medium stores additional instructions which, when executed by the processor, cause the processor to perform operations further comprising presenting a query, wherein the query comprises a request regarding acoustics in the current location of the speaker. | 0.5 |
9,450,769 | 1 | 2 | 1. A method comprising: receiving from a user of a social networking system a request to initiate a new conversation; initiating a conversation responsive to the request, the conversation provided within a conversation interface for managing conversations in the social networking system; adding a plurality of users to the conversation; receiving comments from one or more of the plurality of users in connection with the conversation; sending for display to one or more of the plurality of users the plurality of comments received for the conversation in a tree-branch configuration such that comments added to the conversation are displayed in association with existing comments to which they respond; receiving from a responding user a request to insert a response to one of the plurality of comments in the conversation; in response to receiving the request to insert, providing a comment editor input box within the conversation interface to the responding user, wherein the tree-branch configuration expands to provide space for the comment editor input box; providing a search box within the comment editor input box for searching content; receiving a search term in the included search box from the responding user; sending for display to the responding user one or more search results for the search term; receiving a selection of one of the search results from the responding user; including content from the selected search result into a response of the responding user within the comment editor input box, such that, when posted by the responding user and displayed to one or more of the plurality of users, the content from the selected search result is displayed in the conversation interface; and receiving a request from the responding user to post the response from within the comment editor input box. | 1. A method comprising: receiving from a user of a social networking system a request to initiate a new conversation; initiating a conversation responsive to the request, the conversation provided within a conversation interface for managing conversations in the social networking system; adding a plurality of users to the conversation; receiving comments from one or more of the plurality of users in connection with the conversation; sending for display to one or more of the plurality of users the plurality of comments received for the conversation in a tree-branch configuration such that comments added to the conversation are displayed in association with existing comments to which they respond; receiving from a responding user a request to insert a response to one of the plurality of comments in the conversation; in response to receiving the request to insert, providing a comment editor input box within the conversation interface to the responding user, wherein the tree-branch configuration expands to provide space for the comment editor input box; providing a search box within the comment editor input box for searching content; receiving a search term in the included search box from the responding user; sending for display to the responding user one or more search results for the search term; receiving a selection of one of the search results from the responding user; including content from the selected search result into a response of the responding user within the comment editor input box, such that, when posted by the responding user and displayed to one or more of the plurality of users, the content from the selected search result is displayed in the conversation interface; and receiving a request from the responding user to post the response from within the comment editor input box. 2. The method of claim 1 , further comprising: sending for display a plurality of search options in the interface indicating a plurality of search engines that may be used to search for content; and receiving a selection of one of the plurality of search options from the responding user, wherein the search results are provided by the search engine associated with the s elected search option. | 0.5 |
8,983,945 | 15 | 20 | 15. A system comprising: one or more devices to: formulate a query based on one or more terms in one or more fields of a video bibliographic entry; send, based on the formulated query, a request for search results; receive, based on the request, search results identifying a plurality of resources; identify, based on the identified plurality of resources, one or more resources, of the identified plurality of resources, that are associated with video content; calculate a respective occurrence score for each of the identified one or more resources, each respective occurrence score being based on a plurality of terms in the one or more fields of the video bibliographic entry matching a plurality of terms associated with a respective resource of the identified one or more resources, each respective occurrence score being based on the plurality of terms in the one or more fields of the video bibliographic entry occurring within a plurality of terms adjacent to the video content associated with the respective resource, and each respective occurrence score being based on a uniform resource locator associated with the respective resource; select at least one of the identified one or more resources with a respective occurrence score that satisfies an occurrence score threshold; store information indicating an association of the video bibliographic entry and the selected at least one of the identified one or more resources; and use the stored information to process another query, the other query including a request for video content. | 15. A system comprising: one or more devices to: formulate a query based on one or more terms in one or more fields of a video bibliographic entry; send, based on the formulated query, a request for search results; receive, based on the request, search results identifying a plurality of resources; identify, based on the identified plurality of resources, one or more resources, of the identified plurality of resources, that are associated with video content; calculate a respective occurrence score for each of the identified one or more resources, each respective occurrence score being based on a plurality of terms in the one or more fields of the video bibliographic entry matching a plurality of terms associated with a respective resource of the identified one or more resources, each respective occurrence score being based on the plurality of terms in the one or more fields of the video bibliographic entry occurring within a plurality of terms adjacent to the video content associated with the respective resource, and each respective occurrence score being based on a uniform resource locator associated with the respective resource; select at least one of the identified one or more resources with a respective occurrence score that satisfies an occurrence score threshold; store information indicating an association of the video bibliographic entry and the selected at least one of the identified one or more resources; and use the stored information to process another query, the other query including a request for video content. 20. The system of claim 15 , where each respective occurrence score is further based on a number of instances of video content associated with the respective resource. | 0.741486 |
9,367,308 | 15 | 16 | 15. A non-transitory computer-readable medium having processor-executable instructions stored thereon which, when executed by at least one processor, will cause the at least one processor to perform a method of monitoring project development in the insurance industry using user stories, the method comprising: receiving, via a communication interface, via one or more networks, information included in communications about the project between at least one of a product owner, a developer, and a project manager; identifying, by a processor, from the information a plurality of user stories for completion during the development; assigning, by a processor, each of the plurality of user stories a priority and a value based on an amount of effort required to complete the respective user story and storing the user story, the assigned priority and assigned value in a memory as a product backlog; at the processor, accessing the memory to read the product backlog including the assigned priorities and the assigned values, and selecting at least one user story and the assigned priority and the assigned value from the product backlog for building a sprint based on the assigned priorities and the assigned values; calibrating, at the processor, a difference in the value of each of the plurality of user stories by comparing a centralized position of each of the plurality of user stories and an associated sequential position, and iteratively adjusting the sequential position of each of the plurality of user stories based on the difference between the centralized position and the value as compared to a statistical value until the difference is below a threshold; upon completion of any of the user stories included in the backlog, updating, by the processor, the product backlog in the memory; and at the processor, iterating the selecting and updating based on the information that evidences that user stories are being completed and that additional story points are selected for inclusion in the backlog; and displaying, on a display device, the backlog as selected by the processor from the product backlog and the status of the project development based on user stories remaining in the product backlog as compared to the user stories completed from the product backlog. | 15. A non-transitory computer-readable medium having processor-executable instructions stored thereon which, when executed by at least one processor, will cause the at least one processor to perform a method of monitoring project development in the insurance industry using user stories, the method comprising: receiving, via a communication interface, via one or more networks, information included in communications about the project between at least one of a product owner, a developer, and a project manager; identifying, by a processor, from the information a plurality of user stories for completion during the development; assigning, by a processor, each of the plurality of user stories a priority and a value based on an amount of effort required to complete the respective user story and storing the user story, the assigned priority and assigned value in a memory as a product backlog; at the processor, accessing the memory to read the product backlog including the assigned priorities and the assigned values, and selecting at least one user story and the assigned priority and the assigned value from the product backlog for building a sprint based on the assigned priorities and the assigned values; calibrating, at the processor, a difference in the value of each of the plurality of user stories by comparing a centralized position of each of the plurality of user stories and an associated sequential position, and iteratively adjusting the sequential position of each of the plurality of user stories based on the difference between the centralized position and the value as compared to a statistical value until the difference is below a threshold; upon completion of any of the user stories included in the backlog, updating, by the processor, the product backlog in the memory; and at the processor, iterating the selecting and updating based on the information that evidences that user stories are being completed and that additional story points are selected for inclusion in the backlog; and displaying, on a display device, the backlog as selected by the processor from the product backlog and the status of the project development based on user stories remaining in the product backlog as compared to the user stories completed from the product backlog. 16. The computer-readable medium of claim 15 wherein the assigned priority of each of the plurality of user stories is updated based on feedback from the completed user stories in the backlog. | 0.524752 |
7,549,052 | 13 | 14 | 13. A method to match a hash signal representing an unidentified information signal with a plurality of hash signals stored in a database and to identify a respective one of a plurality of information signals, the method comprising: receiving said hash signal in the form of a series of hash values, each hash value having reliable hash bits and unreliable hash bits; applying one of the hash values of said series to the database; searching in the database the stored hash values for which holds that the reliable bits of the applied hash value match the corresponding bits of the stored hash value while ignoring unreliable bits of the applied hash value and corresponding bits of the stored hash value; for each stored hash value found in response to the searching: selecting in the database the corresponding series of stored hash values; calculating the bit error rate between the reliable bits of the series of hash values representing the unidentified information signal and the corresponding bits of the selected series of hash values in the database while ignoring unreliable bits of the series of hash values and corresponding bits of the selected series of hash values in the database; and determining for which series of stored hash values the bit error rate is minimal; and returning an identification of the respective one of the plurality of information signals that corresponds to the minimal bit error rate. | 13. A method to match a hash signal representing an unidentified information signal with a plurality of hash signals stored in a database and to identify a respective one of a plurality of information signals, the method comprising: receiving said hash signal in the form of a series of hash values, each hash value having reliable hash bits and unreliable hash bits; applying one of the hash values of said series to the database; searching in the database the stored hash values for which holds that the reliable bits of the applied hash value match the corresponding bits of the stored hash value while ignoring unreliable bits of the applied hash value and corresponding bits of the stored hash value; for each stored hash value found in response to the searching: selecting in the database the corresponding series of stored hash values; calculating the bit error rate between the reliable bits of the series of hash values representing the unidentified information signal and the corresponding bits of the selected series of hash values in the database while ignoring unreliable bits of the series of hash values and corresponding bits of the selected series of hash values in the database; and determining for which series of stored hash values the bit error rate is minimal; and returning an identification of the respective one of the plurality of information signals that corresponds to the minimal bit error rate. 14. The method as claimed in claim 13 , further comprising repeating the applying, searching, selecting, calculating, determining and returning for other hash values of the unidentified information signal until a series of stored hash values is found for which the bit error rate is minimal, wherein the returning returns the identification of the respective one of the plurality of information signals that corresponds to this minimal bit error rate. | 0.5 |
7,613,731 | 1 | 13 | 1. A computer system for presenting an electronic document to a viewer to facilitate comprehension and control display and speed of delivery, comprising: a plurality of knowledge databases in the computer system for use in assigning an emphasis value to each word in the electronic document; an annotation module in the computer system including a cognitive cluster parser configured to group selected word pairings as cognitive clusters to be treated as one word and an analysis engine configured to assign an emphasis value to each word and cognitive cluster, the cognitive cluster parser and analysis engine interacting to generate a first tagged file of assigned emphasis values for each word and cognitive cluster; a first analysis module in the computer system including a compiler engine configured to derive emphasis values for recognizability and comprehensibility and an author interface configured to facilitate tag editing, the first analysis module for processing the first tagged file to generate a second tagged file of derived emphasis values; a second analysis module in the computer system including a property editor configured to facilitate editing of properties of selected words and cognitive clusters in the electronic document, the second analysis module for processing the second tagged file to generate a deliverable file that dynamically controls the presentation of the electronic document to the viewer; a printer or an electronic display device; and a delivery display module operative with the property deliverable file and the printer or electronic display device to at least one of print or display the electronic document. | 1. A computer system for presenting an electronic document to a viewer to facilitate comprehension and control display and speed of delivery, comprising: a plurality of knowledge databases in the computer system for use in assigning an emphasis value to each word in the electronic document; an annotation module in the computer system including a cognitive cluster parser configured to group selected word pairings as cognitive clusters to be treated as one word and an analysis engine configured to assign an emphasis value to each word and cognitive cluster, the cognitive cluster parser and analysis engine interacting to generate a first tagged file of assigned emphasis values for each word and cognitive cluster; a first analysis module in the computer system including a compiler engine configured to derive emphasis values for recognizability and comprehensibility and an author interface configured to facilitate tag editing, the first analysis module for processing the first tagged file to generate a second tagged file of derived emphasis values; a second analysis module in the computer system including a property editor configured to facilitate editing of properties of selected words and cognitive clusters in the electronic document, the second analysis module for processing the second tagged file to generate a deliverable file that dynamically controls the presentation of the electronic document to the viewer; a printer or an electronic display device; and a delivery display module operative with the property deliverable file and the printer or electronic display device to at least one of print or display the electronic document. 13. The system for presenting an electronic document of claim 1 wherein the compiler engine is operative with a ratio definition function of the author interface and processes the assigned emphasis values in the first tagged file to derive a recognizability value and a comprehensibility value for each word that are included in the second tagged file. | 0.5 |
8,930,301 | 1 | 3 | 1. A method comprising: accessing a user-editable configuration file accessible to an operator of a response prediction system, the user-editable configuration file including a user specification of data accessible via external data sources, user-specified data encoding rules specifying specific portions of the data to be encoded into specific portions of one or more feature vectors, and user-specified assembly rules, the data including member data associated with a particular member and content data associated with a particular content item; encoding, using a plurality of source modules, the data accessible via the external data sources into the feature vectors, based on the user-specified data encoding rules; assembling, using an assembler module, one or more of the feature vectors into an assembled feature vector, based on the user-specified assembly rules included in the user-editable configuration file; determining that a particular one of the feature vectors is not available from a particular one of the source modules; in response to determining that the particular one of the feature vectors is not available, ignoring the particular feature vector based on a user-specified importance value associated with the particular feature vector; inserting a user-specified substitute value associated with the particular feature vector into a portion of the assembled feature vector associated with the particular feature vector; and performing, using a prediction module, a prediction modeling process based on the assembled feature vector and a prediction model, to predict a likelihood of the particular member performing a particular user action on the particular content item. | 1. A method comprising: accessing a user-editable configuration file accessible to an operator of a response prediction system, the user-editable configuration file including a user specification of data accessible via external data sources, user-specified data encoding rules specifying specific portions of the data to be encoded into specific portions of one or more feature vectors, and user-specified assembly rules, the data including member data associated with a particular member and content data associated with a particular content item; encoding, using a plurality of source modules, the data accessible via the external data sources into the feature vectors, based on the user-specified data encoding rules; assembling, using an assembler module, one or more of the feature vectors into an assembled feature vector, based on the user-specified assembly rules included in the user-editable configuration file; determining that a particular one of the feature vectors is not available from a particular one of the source modules; in response to determining that the particular one of the feature vectors is not available, ignoring the particular feature vector based on a user-specified importance value associated with the particular feature vector; inserting a user-specified substitute value associated with the particular feature vector into a portion of the assembled feature vector associated with the particular feature vector; and performing, using a prediction module, a prediction modeling process based on the assembled feature vector and a prediction model, to predict a likelihood of the particular member performing a particular user action on the particular content item. 3. The method of claim 1 , wherein the plurality of source modules includes a content source module configured to encode the content data into a content feature vector of the feature vectors, wherein the content data includes at least one of content format, content category, content keywords, content image, content targeting criteria, and content cost information. | 0.683391 |
9,471,560 | 1 | 4 | 1. A method comprising: receiving a sequence of keyboard events representing keystrokes input to a virtual keyboard of a device; traversing a hierarchical data structure according to the sequence of keyboard events to determine candidate words; constructing a word lattice based on a language model, including deriving path weights from candidate word statistics and keyboard error model data, wherein deriving the path weights is based on a function having one or more first parameters including the candidate word statistics and one or more second parameters including the keyboard error model data; searching the word lattice for N best paths, where N is a positive integer; determining one or more candidate sentences comprising candidate words based on the N best paths; and presenting the candidate sentences on a user interface component of the device, where the method is performed by one or more hardware processors of the device. | 1. A method comprising: receiving a sequence of keyboard events representing keystrokes input to a virtual keyboard of a device; traversing a hierarchical data structure according to the sequence of keyboard events to determine candidate words; constructing a word lattice based on a language model, including deriving path weights from candidate word statistics and keyboard error model data, wherein deriving the path weights is based on a function having one or more first parameters including the candidate word statistics and one or more second parameters including the keyboard error model data; searching the word lattice for N best paths, where N is a positive integer; determining one or more candidate sentences comprising candidate words based on the N best paths; and presenting the candidate sentences on a user interface component of the device, where the method is performed by one or more hardware processors of the device. 4. The method of claim 1 , where the language represented by the language model is Japanese or Chinese. | 0.637324 |
8,402,019 | 24 | 25 | 24. A method for determining a particular document that initiated a topic of interest in a collection of documents on the web, each of the documents having contents and a time it was created, comprising: ranking the documents in the collection based on the respective times that the documents were created; ranking the documents based on how similar their respective contents are to the topic of interest; ranking the documents based on originality of their respective contents; ranking the documents based on a number of hyperlinks in each one of the documents; ranking the documents based on a type of bulletin board system (BBS) each document originated from; producing a composite ranking of the documents based on the time, the contents, the originality and hyperlink rankings, and the type of BBS; and determining the particular document that initiated the topic of interest from the composite ranking. | 24. A method for determining a particular document that initiated a topic of interest in a collection of documents on the web, each of the documents having contents and a time it was created, comprising: ranking the documents in the collection based on the respective times that the documents were created; ranking the documents based on how similar their respective contents are to the topic of interest; ranking the documents based on originality of their respective contents; ranking the documents based on a number of hyperlinks in each one of the documents; ranking the documents based on a type of bulletin board system (BBS) each document originated from; producing a composite ranking of the documents based on the time, the contents, the originality and hyperlink rankings, and the type of BBS; and determining the particular document that initiated the topic of interest from the composite ranking. 25. The method of claim 24 , further comprising: ranking the documents based on how close each of a plurality of terms in the query request appear to each other in each of the documents. | 0.5 |
8,037,066 | 7 | 8 | 7. A method for searching comprising: receiving a search criteria from a user, wherein the search criteria comprising at least one search term; searching metadata in each webpage of a plurality of webpages within a collaborative website based on the at least one search term, wherein the collaborative website is a wiki and the metadata comprises a plurality of words provided by users of the collaborative website that represent each webpage; determining a parsing relevance factor for each said webpage based on a number of occurrences in the metadata for one or more words of the plurality of words, wherein the one or more words are associated with the plurality of webpages and are related to the at least one search term; scoring one or more webpages of the plurality of webpages within the collaborative website based on the search criteria and importance or popularity of the one or more webpages to the collaborative website; determining an aggregate score for the at least one search term based on the scoring the one or more webpages and the parsing relevance factor; displaying a list of the one or more webpages in a graphical user interface according to the scoring the one or more webpages; generating a tag cloud based on results of the search, wherein the tag cloud includes the one or more words of the plurality of words associated with the plurality of webpages and that are related to the search criteria; and displaying the one or more words of the plurality of words via the tag cloud in the graphical user interface according to the aggregate score, wherein: the list of the one or more webpages is displayed simultaneously with the tag cloud in the graphical user interface; and the receiving the search criteria, the scoring the one or more webpages, and the determining the aggregate score are performed using a computing device including a processor. | 7. A method for searching comprising: receiving a search criteria from a user, wherein the search criteria comprising at least one search term; searching metadata in each webpage of a plurality of webpages within a collaborative website based on the at least one search term, wherein the collaborative website is a wiki and the metadata comprises a plurality of words provided by users of the collaborative website that represent each webpage; determining a parsing relevance factor for each said webpage based on a number of occurrences in the metadata for one or more words of the plurality of words, wherein the one or more words are associated with the plurality of webpages and are related to the at least one search term; scoring one or more webpages of the plurality of webpages within the collaborative website based on the search criteria and importance or popularity of the one or more webpages to the collaborative website; determining an aggregate score for the at least one search term based on the scoring the one or more webpages and the parsing relevance factor; displaying a list of the one or more webpages in a graphical user interface according to the scoring the one or more webpages; generating a tag cloud based on results of the search, wherein the tag cloud includes the one or more words of the plurality of words associated with the plurality of webpages and that are related to the search criteria; and displaying the one or more words of the plurality of words via the tag cloud in the graphical user interface according to the aggregate score, wherein: the list of the one or more webpages is displayed simultaneously with the tag cloud in the graphical user interface; and the receiving the search criteria, the scoring the one or more webpages, and the determining the aggregate score are performed using a computing device including a processor. 8. The method for searching of claim 7 , wherein the one or more words in the tag cloud further include one or more links to one or more documents. | 0.840564 |
10,052,769 | 13 | 14 | 13. The humanoid robot of claim 1 , wherein at least one output from the dialog module is supplied to a module capable of performing a function selected from a group of functions including a function for generating at least one expression of said robot, a function for deciding to generate at least one behavior of said robot, and a function for generating at least one emotion of said robot. | 13. The humanoid robot of claim 1 , wherein at least one output from the dialog module is supplied to a module capable of performing a function selected from a group of functions including a function for generating at least one expression of said robot, a function for deciding to generate at least one behavior of said robot, and a function for generating at least one emotion of said robot. 14. The humanoid robot of claim 13 , wherein said function selected from the group of functions is said function for generating at least one behavior, and wherein said function for generating at least one behavior takes into account the system constraints of said robot. | 0.610951 |
9,053,199 | 20 | 22 | 20. A method implemented by a computing device configured to utilize a script file, the method comprising: accessing, by the computing device, a web document, the web document having a uniform resource locator (URL) for a script file, wherein the web document also includes a unique identifier for the script file appended to the URL; determining, by the computing device, that the computing device recognizes the unique identifier appended to the URL of the script file; determining, by the computing device and based on the unique identifier, whether the script file is located at a same server as that specified by the URL for the script file, or that the script file is located at a script file repository located at a different server from that specified by the URL for the script file; and in response to the determining that the script file is located at the script file repository located at the different server from that specified by the URL for the script file, obtaining, by the computing device, the script file from the script file repository using the unique identifier. | 20. A method implemented by a computing device configured to utilize a script file, the method comprising: accessing, by the computing device, a web document, the web document having a uniform resource locator (URL) for a script file, wherein the web document also includes a unique identifier for the script file appended to the URL; determining, by the computing device, that the computing device recognizes the unique identifier appended to the URL of the script file; determining, by the computing device and based on the unique identifier, whether the script file is located at a same server as that specified by the URL for the script file, or that the script file is located at a script file repository located at a different server from that specified by the URL for the script file; and in response to the determining that the script file is located at the script file repository located at the different server from that specified by the URL for the script file, obtaining, by the computing device, the script file from the script file repository using the unique identifier. 22. A method according to claim 20 , wherein when the unique identifier is unrecognizable to the computing device, obtaining the script file using the address included in the URL includes obtaining, by the computing device, the script file using an address indicated in a src attribute of a <script> tag in the web document. | 0.5 |
9,542,546 | 10 | 11 | 10. An apparatus comprising: a multi-tenant datastore; and a web server comprising a hardware processor coupled to the multi-tenant datastore, wherein the web server is configured to: receive a request comprising an application token, a user token, and a tenant identifier, wherein the application token identifies one of multiple applications hosted by the multi-tenant datastore, wherein the user token identifies one of multiple users of the multi-tenant datastore, and wherein the tenant identifier identifies one of multiple tenants hosted by the multi-tenant datastore; determine validity of the application token and the user token; generate a query based on the request to access the multi-tenant datastore when the application token and the user token are valid, wherein generating the query comprises deriving a query scope based on the request, and wherein the query scope is limited to data in the multi-tenant datastore that is associated with the one of the multiple applications, the one of the multiple users, and the one of the multiple tenants; generate an error message when one or both of the application token and the user token are invalid; receive an updated application token and an updated user token after a predetermined interval of time has passed; and generate a second query to access the multi-tenant datastore, wherein the second query is based on the updated application token, the updated user token, and the tenant identifier, wherein the request further comprises a uniform resource locator (URL), wherein deriving the query scope comprises determining the tenant identifier based on the URL, wherein the application token comprises an application identification (ID), and wherein the application ID is negotiated between a third party application associated with the application token and a hosting system. | 10. An apparatus comprising: a multi-tenant datastore; and a web server comprising a hardware processor coupled to the multi-tenant datastore, wherein the web server is configured to: receive a request comprising an application token, a user token, and a tenant identifier, wherein the application token identifies one of multiple applications hosted by the multi-tenant datastore, wherein the user token identifies one of multiple users of the multi-tenant datastore, and wherein the tenant identifier identifies one of multiple tenants hosted by the multi-tenant datastore; determine validity of the application token and the user token; generate a query based on the request to access the multi-tenant datastore when the application token and the user token are valid, wherein generating the query comprises deriving a query scope based on the request, and wherein the query scope is limited to data in the multi-tenant datastore that is associated with the one of the multiple applications, the one of the multiple users, and the one of the multiple tenants; generate an error message when one or both of the application token and the user token are invalid; receive an updated application token and an updated user token after a predetermined interval of time has passed; and generate a second query to access the multi-tenant datastore, wherein the second query is based on the updated application token, the updated user token, and the tenant identifier, wherein the request further comprises a uniform resource locator (URL), wherein deriving the query scope comprises determining the tenant identifier based on the URL, wherein the application token comprises an application identification (ID), and wherein the application ID is negotiated between a third party application associated with the application token and a hosting system. 11. The apparatus of claim 10 , wherein the user token comprises encrypted information of a user identifier, wherein the web server receives multiple requests, and wherein each one of the multiple requests comprises an application token, a user token, and a tenant identifier in a header of the multiple requests. | 0.5 |
8,870,575 | 12 | 14 | 12. The language learning method according to claim 11 , wherein the step of extracting the pronunciation feature of each of the training data comprises: collecting a plurality of training sentences; performing a phonetic segmentation operation on the training sentences to obtain a plurality of pronunciation units of the training sentences; and obtaining the training data from the pronunciation units. | 12. The language learning method according to claim 11 , wherein the step of extracting the pronunciation feature of each of the training data comprises: collecting a plurality of training sentences; performing a phonetic segmentation operation on the training sentences to obtain a plurality of pronunciation units of the training sentences; and obtaining the training data from the pronunciation units. 14. The language learning method according to claim 12 , wherein the step of extracting the pronunciation feature of the pronunciation comprises: getting a fundamental frequency contour of the pronunciation; dividing the fundamental frequency contour of the pronunciation into a plurality of sub fundamental frequency contours; calculating a mean value of each of the sub fundamental frequency contours of the pronunciation; calculating a slope of each of the sub fundamental frequency contours of the pronunciation; calculating a plurality of difference values between the sub fundamental frequency contours of the pronunciation; serving at least one of the mean values, the slopes, and the difference values of the sub fundamental frequency contours of the pronunciation as the pronunciation feature of the pronunciation, wherein the step of extracting the pronunciation feature of each of the training data comprises: getting a fundamental frequency contour of each of the training data; dividing the fundamental frequency contour of each of the training data into a plurality of sub fundamental frequency contours; calculating a mean value of each of the sub fundamental frequency contours of each of the training data; calculating a slope of each of the sub fundamental frequency contours of each of the training data; calculating a plurality of difference values between the sub fundamental frequency contours of each of the training data; and serving at least one of the mean values, the slopes, and the difference values of the sub fundamental frequency contours of each of the training data as the pronunciation feature of the training data. | 0.5 |
9,152,926 | 29 | 30 | 29. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for updating a classifier, the method comprising: receiving a sample; for each of a first plurality of weak learners, classifying the sample using the weak learner, determining an outcome of the classification, and determining an updated error rate of the weak learner based on the outcome of the classification and at least one of: (i) a count of positive samples used to update the classifier, and (ii) a count of negative samples used to update the classifier; selecting a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and updating the classifier based on the first weak learner. | 29. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for updating a classifier, the method comprising: receiving a sample; for each of a first plurality of weak learners, classifying the sample using the weak learner, determining an outcome of the classification, and determining an updated error rate of the weak learner based on the outcome of the classification and at least one of: (i) a count of positive samples used to update the classifier, and (ii) a count of negative samples used to update the classifier; selecting a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and updating the classifier based on the first weak learner. 30. The non-transitory computer-readable medium of claim 29 , further comprising: assigning a first importance weight to the sample based on the outcome of the classification of the sample by the first weak learner and a count of samples used to update the classifier; for each of a second plurality of weak learners, classifying the sample using the weak learner, determining an outcome of the classification, and determining an updated error rate of the weak learner based on the first importance weight; selecting a second weak learner from the second plurality based on the updated error rate of the second weak learner; and updating the classifier based on the second weak learner. | 0.5 |
9,396,270 | 9 | 12 | 9. A computer-implemented method, comprising: providing one or more recommendations to a user in response to a query related to the user by integrating contextual information of a context related to the user in a recommendation model while considering a granular structure of the context and the contextual information thereof, structural elements of the granular structure including at least a multiple of granular elements for location arranged in a hierarchy of levels along a location context granularity path, and a multiple of granular elements for time arranged in a hierarchy of levels along a time context granularity path, wherein context combination paths of the context are formed by a cross product of all context granularity paths in the granular structure, and wherein the providing includes: detecting the context of the user, determining the granular structure of the context including one or more structural elements of the granular structure based on the contextual information that characterizes the information related to the user, pre-filtering the contextual information according one or more context combination paths between different structural element of the granular structure, selecting historical network navigation data related to the user for comparison with each of the context combination paths, modeling each context combination path for the query in the recommendation model by calculating a recommendation performance for each different context combination path as compared with the selected historical network navigation data while considering the granular structure of the context and the contextual information thereof, and determining at least one of the context combination paths as having a best recommendation performance to provide the one or more recommendations to the user in response to the query. | 9. A computer-implemented method, comprising: providing one or more recommendations to a user in response to a query related to the user by integrating contextual information of a context related to the user in a recommendation model while considering a granular structure of the context and the contextual information thereof, structural elements of the granular structure including at least a multiple of granular elements for location arranged in a hierarchy of levels along a location context granularity path, and a multiple of granular elements for time arranged in a hierarchy of levels along a time context granularity path, wherein context combination paths of the context are formed by a cross product of all context granularity paths in the granular structure, and wherein the providing includes: detecting the context of the user, determining the granular structure of the context including one or more structural elements of the granular structure based on the contextual information that characterizes the information related to the user, pre-filtering the contextual information according one or more context combination paths between different structural element of the granular structure, selecting historical network navigation data related to the user for comparison with each of the context combination paths, modeling each context combination path for the query in the recommendation model by calculating a recommendation performance for each different context combination path as compared with the selected historical network navigation data while considering the granular structure of the context and the contextual information thereof, and determining at least one of the context combination paths as having a best recommendation performance to provide the one or more recommendations to the user in response to the query. 12. The method of claim 9 , wherein the contextual information associated with the context includes a profile of the user including one or more of gender of the user, age of the user, personal interest of the user, salary of the user, likes and dislikes of the user, and one or more social networks associated with the user. | 0.796992 |
9,805,136 | 1 | 2 | 1. A system comprising: at least one processor; and at least one memory connected to the at least one processor, the at least one memory having instructions recorded therein which when executed by the at least one processor causes the at least one processor to perform: receiving a first structured query language (SQL) statement including a virtual relation; mapping the virtual relation to a base table of a relational database management system by: referencing a row of a first table of metadata corresponding to the virtual relation and having first information regarding the virtual relation, referencing at least one row of a second table of metadata, each of the at least one row of the second table of metadata including second information regarding a respective field of at least one field associated with the virtual relation, and referencing at least one row of the base table, each of the at least one row of the base table including an instance of a field value corresponding to the respective field of the at least one field associated with the virtual relation; generating a second SQL statement for the base table from the first SQL statement including the virtual relation by applying the mapping to one or more elements of the first SQL statement for the virtual relation; and applying the second SQL statement against real relations of the base table. | 1. A system comprising: at least one processor; and at least one memory connected to the at least one processor, the at least one memory having instructions recorded therein which when executed by the at least one processor causes the at least one processor to perform: receiving a first structured query language (SQL) statement including a virtual relation; mapping the virtual relation to a base table of a relational database management system by: referencing a row of a first table of metadata corresponding to the virtual relation and having first information regarding the virtual relation, referencing at least one row of a second table of metadata, each of the at least one row of the second table of metadata including second information regarding a respective field of at least one field associated with the virtual relation, and referencing at least one row of the base table, each of the at least one row of the base table including an instance of a field value corresponding to the respective field of the at least one field associated with the virtual relation; generating a second SQL statement for the base table from the first SQL statement including the virtual relation by applying the mapping to one or more elements of the first SQL statement for the virtual relation; and applying the second SQL statement against real relations of the base table. 2. The system of claim 1 , wherein the at least one memory has instructions recorded therein which when executed by the at least one processor further causes the at least one processor to perform: mapping to the base table each of a plurality of virtual relations specified via one or more data definition language (DDL) statements. | 0.613054 |
8,056,128 | 1 | 11 | 1. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, whether a document in a set of ranked documents requests personal or private information, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; analyzing, by one or more processors of the one or more server devices, if the document is determined to request personal or private information, data or attributes associated with the document, where the analyzing the data or attributes associated with the document includes analyzing a ranking of the document relative to rankings of other documents in the set of ranked documents; calculating, by one or more processors of the one or more server devices, a fraud score for the document based on the analysis; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and a second different threshold; designating, by one or more processors of the one or more server devices, the document as trustworthy when the fraud score does not pass the first threshold; designating, by one or more processors of the one or more server devices, the document as untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a designation of trustworthiness from a user when the fraud score is between the first threshold and the second different threshold; and associating, in a memory associated with the one or more server devices, an indication of a trustworthiness of the document, determined based on the designation of the document as trustworthy, the designation of the document as untrustworthy, or the designation of trustworthiness obtained from a user, with the fraud score and an identifier for the document. | 1. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, whether a document in a set of ranked documents requests personal or private information, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; analyzing, by one or more processors of the one or more server devices, if the document is determined to request personal or private information, data or attributes associated with the document, where the analyzing the data or attributes associated with the document includes analyzing a ranking of the document relative to rankings of other documents in the set of ranked documents; calculating, by one or more processors of the one or more server devices, a fraud score for the document based on the analysis; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and a second different threshold; designating, by one or more processors of the one or more server devices, the document as trustworthy when the fraud score does not pass the first threshold; designating, by one or more processors of the one or more server devices, the document as untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a designation of trustworthiness from a user when the fraud score is between the first threshold and the second different threshold; and associating, in a memory associated with the one or more server devices, an indication of a trustworthiness of the document, determined based on the designation of the document as trustworthy, the designation of the document as untrustworthy, or the designation of trustworthiness obtained from a user, with the fraud score and an identifier for the document. 11. The method of claim 1 , where analyzing data or attributes associated with the document further comprises: analyzing a content of the document to determine if the document has characteristics of known fraudulent documents. | 0.629508 |
8,301,656 | 9 | 10 | 9. A method comprising: receiving, by a processor in a computer system, results that are relevant to a search query, the results including a first plurality of search results and a second plurality of search results, the first plurality of search results being associated with a first document category, the second plurality of search results being associated with a second document category that differs from the first document category, the first document category being more relevant to the search query than the second document category; providing, by a processor in the computer system and for presentation on a display, information associated with the results, the providing of the information including: providing, for presentation in a first display area of the display, information associated with the first plurality of search results, and providing, for presentation in a second display area of the display, information associated with the second plurality of search results, the first display area being more prominently presented on the display than the second display area, where the first display area presents a snippet associated with, respectively, each displayed one of the first plurality of search results, and where the second display area does not include a snippet associated with any of the second plurality of search results. | 9. A method comprising: receiving, by a processor in a computer system, results that are relevant to a search query, the results including a first plurality of search results and a second plurality of search results, the first plurality of search results being associated with a first document category, the second plurality of search results being associated with a second document category that differs from the first document category, the first document category being more relevant to the search query than the second document category; providing, by a processor in the computer system and for presentation on a display, information associated with the results, the providing of the information including: providing, for presentation in a first display area of the display, information associated with the first plurality of search results, and providing, for presentation in a second display area of the display, information associated with the second plurality of search results, the first display area being more prominently presented on the display than the second display area, where the first display area presents a snippet associated with, respectively, each displayed one of the first plurality of search results, and where the second display area does not include a snippet associated with any of the second plurality of search results. 10. The method of claim 9 , where providing the information associated with the first plurality of search results includes: identifying a document associated with a particular search result of the first plurality of search results; identifying a particular textual snippet associated with the particular search result and derived from the document; and providing, in the first display area, the particular textual snippet in connection with the particular search result. | 0.5 |
9,565,521 | 21 | 23 | 21. A non-transitory processor-readable medium that includes a program that when executed by a processor performs a method comprising: recognizing an activity performed at a first place based on sensor data of an electronic device, wherein the first place comprises an unlabeled semantic place without an assigned semantic place label; determining a location for the first place by performing localization for the electronic device; determining an observed mapping between the activity and the location for the first place; determining a typical mapping between the activity and a second place, wherein the second place comprises a labeled semantic place with an assigned semantic place label; based on the observed mapping and the typical mapping, assigning the same sematic place label assigned to the labeled semantic place to the location for the first place; and updating a semantic place map to include the semantic place label assigned to the location for the first place. | 21. A non-transitory processor-readable medium that includes a program that when executed by a processor performs a method comprising: recognizing an activity performed at a first place based on sensor data of an electronic device, wherein the first place comprises an unlabeled semantic place without an assigned semantic place label; determining a location for the first place by performing localization for the electronic device; determining an observed mapping between the activity and the location for the first place; determining a typical mapping between the activity and a second place, wherein the second place comprises a labeled semantic place with an assigned semantic place label; based on the observed mapping and the typical mapping, assigning the same sematic place label assigned to the labeled semantic place to the location for the first place; and updating a semantic place map to include the semantic place label assigned to the location for the first place. 23. The non-transitory processor-readable medium of claim 21 , further comprising: determining a count of one or more participants participating in the activity at the location for the first place and the labeled semantic place. | 0.698413 |
9,430,141 | 6 | 15 | 6. A method comprising: under control of one or more computer systems configured with executable instructions, receiving a first stroke associated with a touch input; determining, based on the first stroke, a predetermined type of annotation associated with the touch input; determining the predetermined type of annotation is a free form annotation; associating the free form annotation with a word of content presented on a display of a device; receiving a additional strokes associated with the touch input; associating the free form annotation with the word based at least in part on a location of the word within the content; and rendering the content to be presented on the display, the rendering including rendering the content presented on the display around the annotation to cause the annotation to appear adjacent to the word and at least partially surrounded by the content. | 6. A method comprising: under control of one or more computer systems configured with executable instructions, receiving a first stroke associated with a touch input; determining, based on the first stroke, a predetermined type of annotation associated with the touch input; determining the predetermined type of annotation is a free form annotation; associating the free form annotation with a word of content presented on a display of a device; receiving a additional strokes associated with the touch input; associating the free form annotation with the word based at least in part on a location of the word within the content; and rendering the content to be presented on the display, the rendering including rendering the content presented on the display around the annotation to cause the annotation to appear adjacent to the word and at least partially surrounded by the content. 15. The method of claim 6 , further comprising: receiving a selection of the free form annotation; receiving a selection of a second word of the content; associating the second word with the free form annotation; re-positioning the free form annotation at a second location adjacent to the second word; and rendering the content to be presented on the display, the rendering including rendering the content presented on the display around the annotation to cause the annotation to appear adjacent to the second word and at least partially surrounded by the content. | 0.5 |
5,475,792 | 1 | 4 | 1. A method for training a speech recognition processor to respond to speech obtained from telephone systems, comprising the steps of: inputting a speech data set to a speech recognition training processor, said data set having a bandwidth higher than a telephone bandwidth; decimating said inputted speech data set in said training processor to obtain a decimated speech data set having said telephone bandwidth; applying a bandpass digital filter to said decimated speech data set in said training processor, said filter characterizing transmission characteristics of telephone equipment, for obtaining a filtered speech data set; rescaling the amplitude of said filtered speech data set in said training processor, so that the maximum dynamic range of said filtered speech data set matches the maximum dynamic range of uncompanded telephone speech, to obtain a rescaled speech data set; modifying said rescaled speech data set in said training processor, with quantization noise representing companding and uncompanding a speech signal in a telephone system, to obtain a modified speech data set; inputting said modified speech data set into a hidden Markov model speech recognition processor to train statistical pattern matching data units; performing speech recognition on voice signals from a telephone system with said speech recognition processor. | 1. A method for training a speech recognition processor to respond to speech obtained from telephone systems, comprising the steps of: inputting a speech data set to a speech recognition training processor, said data set having a bandwidth higher than a telephone bandwidth; decimating said inputted speech data set in said training processor to obtain a decimated speech data set having said telephone bandwidth; applying a bandpass digital filter to said decimated speech data set in said training processor, said filter characterizing transmission characteristics of telephone equipment, for obtaining a filtered speech data set; rescaling the amplitude of said filtered speech data set in said training processor, so that the maximum dynamic range of said filtered speech data set matches the maximum dynamic range of uncompanded telephone speech, to obtain a rescaled speech data set; modifying said rescaled speech data set in said training processor, with quantization noise representing companding and uncompanding a speech signal in a telephone system, to obtain a modified speech data set; inputting said modified speech data set into a hidden Markov model speech recognition processor to train statistical pattern matching data units; performing speech recognition on voice signals from a telephone system with said speech recognition processor. 4. The method of claim 1 wherein said rescaling step results in a maximum dynamic range matching a maximum dynamic range of uncompanded mu-law telephone speech. | 0.5 |
8,849,676 | 20 | 24 | 20. A non-transitory, computer-readable medium having a computer-executable component for processing content, the computer-executable component comprising: a content processing component configured to: from an item of original content comprising audio content and a plurality of original objects, select an original object corresponding to a first speaker; identify, in the audio content, at least one original recitation affiliated with the first speaker; extract a plurality of objects from a source graph; select an object from the source graph corresponding to a second speaker; obtain one or more audio clips affiliated with the second speaker; and replace, in the audio content, the at least one original recitation with at least one replacement recitation based at least in part on the one or more audio clips affiliated with the second speaker to form an item of modified content. | 20. A non-transitory, computer-readable medium having a computer-executable component for processing content, the computer-executable component comprising: a content processing component configured to: from an item of original content comprising audio content and a plurality of original objects, select an original object corresponding to a first speaker; identify, in the audio content, at least one original recitation affiliated with the first speaker; extract a plurality of objects from a source graph; select an object from the source graph corresponding to a second speaker; obtain one or more audio clips affiliated with the second speaker; and replace, in the audio content, the at least one original recitation with at least one replacement recitation based at least in part on the one or more audio clips affiliated with the second speaker to form an item of modified content. 24. The non-transitory, computer-readable medium of claim 20 , wherein: the source graph comprises a supplemental graph comprising a plurality of supplemental objects; and the object selected from the source graph is a supplemental object corresponding to the second speaker. | 0.768908 |
7,529,731 | 28 | 31 | 28. An apparatus having a central processing unit (CPU) and a memory coupled to said CPU, said apparatus comprising: an initialization mechanism configured to generate a plurality of candidate phrases responsive to a first open-site network search for a category term; an external scoring mechanism configured to determine an external score responsive to a second open-site network search for at least one of said plurality of candidate phrases; a targeted-site determination mechanism configured to determine at least one targeted-site expected to be associated with each of said plurality of candidate phrases; an internal scoring mechanism configured to determine an internal score for said at least one of said plurality of candidate phrases responsive to at least one targeted-site network search of said at least one targeted-site for said category term, wherein said targeted-site determination mechanism includes a filter mechanism configured to: construct a site query for each one of said plurality of candidate phrases responsive to the one of said plurality of candidate phrases and receiving at least one site query result responsive to the site query; discard each site query result for which the one of said plurality of candidate phrases is not contained in at least one of a site address and a site name of the site query result; extract at least one probable web host name from the remaining of the at least one site query result; construct a second mode query responsive to said category term and said at least one probable web host and submit at least one targeted-site network search using said second mode query; receive at least one third search result responsive to said at least one targeted-site network search using said second mode query; repeat said constructing a site query, said discarding, said extracting at least one probable web host name, said constructing a second mode query, and said receiving at least one third search result for each remaining of said plurality of candidate phrases; and determine said internal score responsive to said at least one third search result; a final scoring mechanism configured to determine a final score for said at least one of said plurality of candidate phrases responsive to said internal score and said external score; and a presentation mechanism configured to present said at least one of said plurality of candidate phrases. | 28. An apparatus having a central processing unit (CPU) and a memory coupled to said CPU, said apparatus comprising: an initialization mechanism configured to generate a plurality of candidate phrases responsive to a first open-site network search for a category term; an external scoring mechanism configured to determine an external score responsive to a second open-site network search for at least one of said plurality of candidate phrases; a targeted-site determination mechanism configured to determine at least one targeted-site expected to be associated with each of said plurality of candidate phrases; an internal scoring mechanism configured to determine an internal score for said at least one of said plurality of candidate phrases responsive to at least one targeted-site network search of said at least one targeted-site for said category term, wherein said targeted-site determination mechanism includes a filter mechanism configured to: construct a site query for each one of said plurality of candidate phrases responsive to the one of said plurality of candidate phrases and receiving at least one site query result responsive to the site query; discard each site query result for which the one of said plurality of candidate phrases is not contained in at least one of a site address and a site name of the site query result; extract at least one probable web host name from the remaining of the at least one site query result; construct a second mode query responsive to said category term and said at least one probable web host and submit at least one targeted-site network search using said second mode query; receive at least one third search result responsive to said at least one targeted-site network search using said second mode query; repeat said constructing a site query, said discarding, said extracting at least one probable web host name, said constructing a second mode query, and said receiving at least one third search result for each remaining of said plurality of candidate phrases; and determine said internal score responsive to said at least one third search result; a final scoring mechanism configured to determine a final score for said at least one of said plurality of candidate phrases responsive to said internal score and said external score; and a presentation mechanism configured to present said at least one of said plurality of candidate phrases. 31. The apparatus of claim 28 , wherein the external scoring mechanism further comprises: a query mechanism configured to construct a first mode query for said at least one of said plurality of candidate phrases; a receiver mechanism configured to receive a second search result responsive to said second open-site network search using said first mode query; and a query scoring mechanism configured to determine a query score for said at least one of said plurality of candidate phrases responsive to said second search result wherein said external score for said at least one of said plurality of candidate phrases is determined responsive to said query score and an adjustment coefficient. | 0.812771 |
8,798,996 | 1 | 5 | 1. A method comprising: determining a first context from among a plurality of contexts; based on the first context, identifying a first technique for analyzing text data, wherein each context of the plurality of contexts is associated with a different technique for analyzing text data; using the first technique to analyze a string of text that was generated based on audio data; wherein using the first technique comprises identifying a plurality of text segments based on one or more criteria, wherein each segment of the plurality of text segments comprises one or more words in the string of text, wherein at least one text segment of the plurality of text segments comprises a plurality of words; organizing the plurality of text segments into a list of items, wherein each text segment is a separate item in the list; wherein the method is performed by one or more computing devices. | 1. A method comprising: determining a first context from among a plurality of contexts; based on the first context, identifying a first technique for analyzing text data, wherein each context of the plurality of contexts is associated with a different technique for analyzing text data; using the first technique to analyze a string of text that was generated based on audio data; wherein using the first technique comprises identifying a plurality of text segments based on one or more criteria, wherein each segment of the plurality of text segments comprises one or more words in the string of text, wherein at least one text segment of the plurality of text segments comprises a plurality of words; organizing the plurality of text segments into a list of items, wherein each text segment is a separate item in the list; wherein the method is performed by one or more computing devices. 5. The method of claim 1 , further comprising: based on one or more second criteria, identifying a plurality of locations within the audio input; wherein identifying the plurality of text segments is based on the plurality of locations. | 0.69898 |
9,928,295 | 4 | 5 | 4. The system of claim 1 wherein the text extraction pipeline further comprises: a plurality of text extraction components to extract text from source documents; a document queue containing a list of the source documents added to the ingest memory; and a scheduler routing each source document from the document queue to one of the text extraction components based on an evaluation of features of the source documents against scheduling parameters. | 4. The system of claim 1 wherein the text extraction pipeline further comprises: a plurality of text extraction components to extract text from source documents; a document queue containing a list of the source documents added to the ingest memory; and a scheduler routing each source document from the document queue to one of the text extraction components based on an evaluation of features of the source documents against scheduling parameters. 5. The system of claim 4 wherein the text extraction components are divided into a small file text extraction path and a large file extraction path. | 0.5 |
9,311,528 | 11 | 12 | 11. The method of claim 1 wherein the first display area is used in conjunction with a gesture learning application. | 11. The method of claim 1 wherein the first display area is used in conjunction with a gesture learning application. 12. The method of claim 11 wherein the gesture learning application is a game. | 0.921212 |
10,007,707 | 1 | 2 | 1. A computer server system coupleable to a network for personalization of network search results and search result rankings, the server system comprising: a network input and output interface for network data transmission and reception, the network input and output interface adapted to receive at least one query from a respondent or co-respondent via the network; to transmit a plurality of return queries to the respondent or co-respondent via the network; to receive a plurality of responses to the return queries from the respondent or co-respondent via the network; and to transmit personalized network search results and search result rankings to the respondent or co-respondent via the network; at least one data storage device storing a plurality of return queries; and one or more processors coupled to the at least one data storage device and network input and output interface, the one or more processors adapted to access the at least one data storage device and using the at least one query, to select the plurality of return queries for transmission; to generate a digital filter from each plurality of responses to the return queries to form a plurality of digital filters; to search the at least one data storage device for corresponding pluralities of responses to the return queries from one or more co-respondents or respondents, respectively; to comparatively pair-wise score the plurality of responses to the return queries against the corresponding pluralities of responses to the return queries by using the plurality of digital filters to provide a two-stage filtering of the search results through both a respondent digital filter of a selected respondent and a co-respondent digital filter of a selected co-respondent, of the plurality of digital filters, to form a plurality of pair-wise alignment scores for a plurality of respondent and co-respondent combinations; to sort and rank the plurality of respondent and co-respondent combinations according to the plurality of pair-wise alignment scores; and to output a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings. | 1. A computer server system coupleable to a network for personalization of network search results and search result rankings, the server system comprising: a network input and output interface for network data transmission and reception, the network input and output interface adapted to receive at least one query from a respondent or co-respondent via the network; to transmit a plurality of return queries to the respondent or co-respondent via the network; to receive a plurality of responses to the return queries from the respondent or co-respondent via the network; and to transmit personalized network search results and search result rankings to the respondent or co-respondent via the network; at least one data storage device storing a plurality of return queries; and one or more processors coupled to the at least one data storage device and network input and output interface, the one or more processors adapted to access the at least one data storage device and using the at least one query, to select the plurality of return queries for transmission; to generate a digital filter from each plurality of responses to the return queries to form a plurality of digital filters; to search the at least one data storage device for corresponding pluralities of responses to the return queries from one or more co-respondents or respondents, respectively; to comparatively pair-wise score the plurality of responses to the return queries against the corresponding pluralities of responses to the return queries by using the plurality of digital filters to provide a two-stage filtering of the search results through both a respondent digital filter of a selected respondent and a co-respondent digital filter of a selected co-respondent, of the plurality of digital filters, to form a plurality of pair-wise alignment scores for a plurality of respondent and co-respondent combinations; to sort and rank the plurality of respondent and co-respondent combinations according to the plurality of pair-wise alignment scores; and to output a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings. 2. The computer server system of claim 1 , wherein the one or more processors are further adapted to select one or more co-respondents or respondents from the sorted and ranked plurality of respondent and co-respondent combinations for inclusion of a predetermined number of sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings. | 0.642086 |
8,402,032 | 46 | 48 | 46. The computer storage medium of claim 45 , wherein the popularity score for an entity name is related to how often the entity name appears in the texts. | 46. The computer storage medium of claim 45 , wherein the popularity score for an entity name is related to how often the entity name appears in the texts. 48. The computer storage medium of claim 46 , wherein the popularity score is derived by dividing a number of the texts in which the entity name appears by a number of the texts from the plurality of text sources in which any entity name in the plurality of name-context pairs appears. | 0.5 |
8,666,982 | 1 | 4 | 1. A method comprising: receiving a document; applying one or more tags to the document, each tag applied to a term, each tag representing a part of speech; extracting one or more terms from the document based on the tags; determining a frequency parameter for each of the one or more extracted terms, wherein the frequency parameter is proportional to a logarithm of a total number of documents in the domain ontology divided by a number of documents in which the term appears; determining, based on the frequency parameter associated with each of the extracted terms, whether a domain ontology comprises the one or more extracted terms; and augmenting, if the domain ontology does not comprise the one or more extracted terms, such that the domain ontology comprises the one or more extracted terms. | 1. A method comprising: receiving a document; applying one or more tags to the document, each tag applied to a term, each tag representing a part of speech; extracting one or more terms from the document based on the tags; determining a frequency parameter for each of the one or more extracted terms, wherein the frequency parameter is proportional to a logarithm of a total number of documents in the domain ontology divided by a number of documents in which the term appears; determining, based on the frequency parameter associated with each of the extracted terms, whether a domain ontology comprises the one or more extracted terms; and augmenting, if the domain ontology does not comprise the one or more extracted terms, such that the domain ontology comprises the one or more extracted terms. 4. The method of claim 1 , wherein the one or more parts of speech comprise nouns, verbs, conjunctions and prepositions. | 0.901639 |
9,754,040 | 1 | 14 | 1. A computer-implemented method comprising: receiving, from a first client device, an identification of user group configuration settings for a user group comprising a plurality of users, the user group configuration settings identifying (i) a first plurality of content items available to be retrieved from a first plurality of remote content provider servers and to be provided in web pages of the user group for use by users in the user group, and (ii) the plurality of users in the user group; receiving, from a second client device that is different than the first client device, data identifying personal configuration settings that personalize a web page of the user group for a first user, the personal configuration settings for the first user specifying a second plurality of content items selected by the first user to be retrieved from a second plurality of remote content provider servers and to be included in the web page of the user group personalized for the first user; receiving, from the second client device, a request that identifies the web page of the user group, wherein the request includes a universal resource locator (URL) identifying the user group; in response to receiving the request that identifies the web page of the user group, determining, at least partly based on parsing the URL, that (i) the web page requested is for the user group, (ii) a user of the second client device is in the user group that includes the web page identified by the request, and (iii) the data identifying personal configuration settings that personalize the web page of the user group to the first user was previously received; in response to determining that (i) the web page requested is for the user group, (ii) the user of the second client device is in the user group that includes the web page identified by the request, and (iii) the data identifying personal configuration settings that personalize the web page of the user group to the first user was previously received, generating a first personal web page in accordance with both the user group configuration settings for the user group that identify (i) the first plurality of content items available to be retrieved from the first plurality of remote content provider servers and to be provided in web pages of the user group for use by users in the user group, and (ii) the plurality of users in the user group, and the personal configuration settings that personalize the web page of the user group to the first user, the first personal web page including: one or more visualizations of one or more of a first plurality of content modules that provide the first plurality of content items from the first plurality of remote content provider servers; and one or more visualizations of a second plurality of content modules that provide the second plurality of content items from the second plurality of remote content provider servers; and sending the first personal web page over a network to the second client device. | 1. A computer-implemented method comprising: receiving, from a first client device, an identification of user group configuration settings for a user group comprising a plurality of users, the user group configuration settings identifying (i) a first plurality of content items available to be retrieved from a first plurality of remote content provider servers and to be provided in web pages of the user group for use by users in the user group, and (ii) the plurality of users in the user group; receiving, from a second client device that is different than the first client device, data identifying personal configuration settings that personalize a web page of the user group for a first user, the personal configuration settings for the first user specifying a second plurality of content items selected by the first user to be retrieved from a second plurality of remote content provider servers and to be included in the web page of the user group personalized for the first user; receiving, from the second client device, a request that identifies the web page of the user group, wherein the request includes a universal resource locator (URL) identifying the user group; in response to receiving the request that identifies the web page of the user group, determining, at least partly based on parsing the URL, that (i) the web page requested is for the user group, (ii) a user of the second client device is in the user group that includes the web page identified by the request, and (iii) the data identifying personal configuration settings that personalize the web page of the user group to the first user was previously received; in response to determining that (i) the web page requested is for the user group, (ii) the user of the second client device is in the user group that includes the web page identified by the request, and (iii) the data identifying personal configuration settings that personalize the web page of the user group to the first user was previously received, generating a first personal web page in accordance with both the user group configuration settings for the user group that identify (i) the first plurality of content items available to be retrieved from the first plurality of remote content provider servers and to be provided in web pages of the user group for use by users in the user group, and (ii) the plurality of users in the user group, and the personal configuration settings that personalize the web page of the user group to the first user, the first personal web page including: one or more visualizations of one or more of a first plurality of content modules that provide the first plurality of content items from the first plurality of remote content provider servers; and one or more visualizations of a second plurality of content modules that provide the second plurality of content items from the second plurality of remote content provider servers; and sending the first personal web page over a network to the second client device. 14. The computer-implemented method of claim 1 , wherein the one or more of the first plurality of content modules included in the first personal web page correspond to the one or more of the first plurality of content modules included in a second personal web page. | 0.813202 |
7,610,546 | 14 | 23 | 14. A document processing method comprising: detecting video data designation information attached to electronic document data, the electronic document data including: (i) a first element having a first central activation value used to generate an index; (ii) a second element having a second central activation value used to generate said index; and (iii) read out audio attribute information; generating a summary of said electronic document data, wherein said generation of said summary includes spreading said first central activation value to said second central activation value; selecting video data in accordance with said detected video data designation information; storing a categorization model including a plurality of data categories; creating an automatic categorization based on any one of said video data and electronic document data in accordance with the categorization model; updating the categorization model with the automatic categorization; controlling an output of said summary of said electronic document data such that said summary of said electronic data being output is automatically progressed based on at least one of a size of a display area and a length of time displayed; controlling an output of said selected video data in correspondence with the output of said summary of said electronic document data such that said selected video data being output is output in synchronization with said progress of the said operation of outputting said summary of said electronic data; controlling an output of a read out audio based on read out audio attribute information in said electronic document to synthesize said read out audio; and automatically terminate the output of said video data upon completion of the outputting of said summary of said electronic document data regardless of whether an end of the video data has been reached. | 14. A document processing method comprising: detecting video data designation information attached to electronic document data, the electronic document data including: (i) a first element having a first central activation value used to generate an index; (ii) a second element having a second central activation value used to generate said index; and (iii) read out audio attribute information; generating a summary of said electronic document data, wherein said generation of said summary includes spreading said first central activation value to said second central activation value; selecting video data in accordance with said detected video data designation information; storing a categorization model including a plurality of data categories; creating an automatic categorization based on any one of said video data and electronic document data in accordance with the categorization model; updating the categorization model with the automatic categorization; controlling an output of said summary of said electronic document data such that said summary of said electronic data being output is automatically progressed based on at least one of a size of a display area and a length of time displayed; controlling an output of said selected video data in correspondence with the output of said summary of said electronic document data such that said selected video data being output is output in synchronization with said progress of the said operation of outputting said summary of said electronic data; controlling an output of a read out audio based on read out audio attribute information in said electronic document to synthesize said read out audio; and automatically terminate the output of said video data upon completion of the outputting of said summary of said electronic document data regardless of whether an end of the video data has been reached. 23. The document processing method of claim 14 , wherein the attribute information includes pronunciation data. | 0.809278 |
8,346,537 | 1 | 8 | 1. An expression selection and modification apparatus including a processor comprising: a memory that contains a plurality of pre-stored multi-word example expressions, each example expression including at least one editable portion, said example expressions being stored in said memory prior to a current use of said apparatus by a user; a deciding module configured to select one of said pre-stored example expressions to be presented to the user from among the pre-stored example expressions based on the current use being made of the apparatus determined by a physical activity association with the current location, but not the language spoken at that location, as a presentation example expression; an editing storage module configured to store, upon the edit by the user to the editable portion of one of the example expressions, words of the one of the example expression before the edit and words thereof after the edit; an editing adapting module configured to adjust the presentation example expression by replacing the words of the presentation example expression before the edit with the words thereof after the edit; a display control module configured to present the presentation example expression adjusted by the edition adaptation module; and an entry accepting module configured to provide the option to: accept the unedited presentation example expression for further processing upon a selection of it by the user; or accept the edited presentation example expression for further processing upon the edit of it by the user. | 1. An expression selection and modification apparatus including a processor comprising: a memory that contains a plurality of pre-stored multi-word example expressions, each example expression including at least one editable portion, said example expressions being stored in said memory prior to a current use of said apparatus by a user; a deciding module configured to select one of said pre-stored example expressions to be presented to the user from among the pre-stored example expressions based on the current use being made of the apparatus determined by a physical activity association with the current location, but not the language spoken at that location, as a presentation example expression; an editing storage module configured to store, upon the edit by the user to the editable portion of one of the example expressions, words of the one of the example expression before the edit and words thereof after the edit; an editing adapting module configured to adjust the presentation example expression by replacing the words of the presentation example expression before the edit with the words thereof after the edit; a display control module configured to present the presentation example expression adjusted by the edition adaptation module; and an entry accepting module configured to provide the option to: accept the unedited presentation example expression for further processing upon a selection of it by the user; or accept the edited presentation example expression for further processing upon the edit of it by the user. 8. The apparatus according to claim 1 , further comprising a location information acquiring module which acquires information about a location of the input apparatus, including a use detecting module that permits detection of the current use based on information about a location acquired by the location information acquiring module. | 0.691312 |
8,949,079 | 27 | 29 | 27. A method for providing structured clinical information from patient records, the method comprising: (a) mining, by a processor, a patient record having at least one unstructured data source comprising unstructured patient information, the mining comprising mining unstructured free text information, the patient record being from a healthcare provider, the mining including extracting at least one of multiple pieces of information related to each of multiple variables; (b) creating, probabilistically by the processor, structured clinical data for each of the variables from the extracted multiple pieces of information, including the at least one piece of the unstructured patient information mined from the unstructured data source, the structured clinical data being stored for answering a question regarding patients; (c) providing (a) as a service to the healthcare provider; and (d) mining from the structured clinical data as a function of the question. | 27. A method for providing structured clinical information from patient records, the method comprising: (a) mining, by a processor, a patient record having at least one unstructured data source comprising unstructured patient information, the mining comprising mining unstructured free text information, the patient record being from a healthcare provider, the mining including extracting at least one of multiple pieces of information related to each of multiple variables; (b) creating, probabilistically by the processor, structured clinical data for each of the variables from the extracted multiple pieces of information, including the at least one piece of the unstructured patient information mined from the unstructured data source, the structured clinical data being stored for answering a question regarding patients; (c) providing (a) as a service to the healthcare provider; and (d) mining from the structured clinical data as a function of the question. 29. The method of claim 27 wherein (c) comprises providing the service by a third party service provider. | 0.877336 |
9,805,073 | 5 | 6 | 5. The data normalization system of claim 1 , wherein the name index includes at least a first set of metaphone strings corresponding to a first language set, and a second set of metaphone strings corresponding to a second language set. | 5. The data normalization system of claim 1 , wherein the name index includes at least a first set of metaphone strings corresponding to a first language set, and a second set of metaphone strings corresponding to a second language set. 6. The data normalization system of claim 5 , wherein a metaphone string from the first set of metaphone strings and a metaphone string from the second set of metaphone strings both represent an identical name. | 0.5 |
7,966,556 | 9 | 16 | 9. A computer program product, tangibly stored on an information carrier, the computer program product comprising instructions operable to cause a programmable processor to perform operations comprising: receiving from a reviewer a plurality of comments about a word processing document, the comments including a first and second comment; associating the comments with the word processing document; assigning the comments to a plurality of editors, including assigning the first comment to a first editor and assigning the second comment to a second editor; and presenting at least one of the first comment to the first editor and the second comment to the second editor. | 9. A computer program product, tangibly stored on an information carrier, the computer program product comprising instructions operable to cause a programmable processor to perform operations comprising: receiving from a reviewer a plurality of comments about a word processing document, the comments including a first and second comment; associating the comments with the word processing document; assigning the comments to a plurality of editors, including assigning the first comment to a first editor and assigning the second comment to a second editor; and presenting at least one of the first comment to the first editor and the second comment to the second editor. 16. The product of claim 9 , wherein the reviewers and the plurality of editors share a single copy of the word processing document. | 0.763441 |
8,676,891 | 1 | 3 | 1. A system, comprising: one or more computing devices; and one or more computer-readable media coupled to the one or more computing devices and having instructions stored thereon which, when executed by the one or more computing devices, cause the one or more computing devices to perform operations comprising: transmitting a content data set to a computing device for displaying a post to an author user in a stream page of a social networking service, the post including a privacy setting that is displayed with the post, the author user having authored the post; receiving user input from the author user, the user input being associated with the privacy setting; in response to receiving the user input; identifying a distribution of the post, the distribution including one or more first contacts that have access to the post and are associated with the author user; identifying, for each first contact of the one or more first contacts, one or more second contacts associated with the first contact; comparing, for each second contact of the one or more second contacts, the second contact with each of the first contacts; based on the comparing, identifying one or more overlapping contacts; transmitting first data and second data to the computing device for display to the author user, the first data comprising a number of the one or more first contacts that are able to access the post and the second data indicating one or more relationships between the author user and the one or more overlapping contacts; receiving first user input, the first user input indicating creation of a first social circle; in response to receiving the first user input, providing one or more social networking contacts of the social network service for display to the author user, the one or more social networking contacts comprising social networking contacts associated with the author user; receiving second user input, the second user input indicating a selection of the one or more social networking contacts to define a first group of contacts and a second group of contacts; and generating the first social circle, the first group of contacts populating the first social circle, wherein one of the second data corresponds to the first social circle. | 1. A system, comprising: one or more computing devices; and one or more computer-readable media coupled to the one or more computing devices and having instructions stored thereon which, when executed by the one or more computing devices, cause the one or more computing devices to perform operations comprising: transmitting a content data set to a computing device for displaying a post to an author user in a stream page of a social networking service, the post including a privacy setting that is displayed with the post, the author user having authored the post; receiving user input from the author user, the user input being associated with the privacy setting; in response to receiving the user input; identifying a distribution of the post, the distribution including one or more first contacts that have access to the post and are associated with the author user; identifying, for each first contact of the one or more first contacts, one or more second contacts associated with the first contact; comparing, for each second contact of the one or more second contacts, the second contact with each of the first contacts; based on the comparing, identifying one or more overlapping contacts; transmitting first data and second data to the computing device for display to the author user, the first data comprising a number of the one or more first contacts that are able to access the post and the second data indicating one or more relationships between the author user and the one or more overlapping contacts; receiving first user input, the first user input indicating creation of a first social circle; in response to receiving the first user input, providing one or more social networking contacts of the social network service for display to the author user, the one or more social networking contacts comprising social networking contacts associated with the author user; receiving second user input, the second user input indicating a selection of the one or more social networking contacts to define a first group of contacts and a second group of contacts; and generating the first social circle, the first group of contacts populating the first social circle, wherein one of the second data corresponds to the first social circle. 3. The system of claim 1 , wherein the second data further comprises one or more classifications of the one or more first contacts associated with the author user, each of the one or more classifications having been defined by the author user using the social networking service. | 0.665468 |
8,135,580 | 15 | 18 | 15. A system for indexing terms in multiple languages, comprising: a processor; and a memory device including instructions that, when executed by the processor, cause the processor to: segment information to be indexed into at least one token; determine a language type for each token; analyze a language dictionary for the determined language type of each token and further segmenting the information into at least one additional token where appropriate based upon contents of the language dictionary; search for synonyms in at least one of the multiple languages corresponding to the contents of each token after analyzing the language dictionary for each token; and store the synonyms and contents of each token for use in indexing the information. | 15. A system for indexing terms in multiple languages, comprising: a processor; and a memory device including instructions that, when executed by the processor, cause the processor to: segment information to be indexed into at least one token; determine a language type for each token; analyze a language dictionary for the determined language type of each token and further segmenting the information into at least one additional token where appropriate based upon contents of the language dictionary; search for synonyms in at least one of the multiple languages corresponding to the contents of each token after analyzing the language dictionary for each token; and store the synonyms and contents of each token for use in indexing the information. 18. A system according to claim 15 , wherein the memory device further includes instructions that, when executed by the processor, cause the processor to: convert contents of at least one token to one of a lowercase and an uppercase format. | 0.622642 |
7,792,829 | 10 | 11 | 10. A computer implemented method that facilitates responding to user queries comprising: obtaining a table comprising a plurality of table entries organized by rows and columns; performing a search of an information store based on table entries from a row of the table; extracting sentences or sentence fragments from the search results, the extracted sentences or sentence fragments comprising one or more portions matching the table entries; deriving a sentence template from the extracted sentences or sentence fragments, the sentence template not including the one or more portions matching the table entries and having a structure such that addition of table entries from a row into the sentence template transforms the sentence template into a sentence associated with the row from which the table entries were obtained; replicating a copy of the sentence template for each row in the table; constructing a collection of sentences for the table comprising a sentence for each row constructed using the sentence template and table entries from that row; finishing the sentence template for each row, using table entries from that row, into a sentence for each row; and in response to a request to search the table, searching the sentences associated with the rows of the table. | 10. A computer implemented method that facilitates responding to user queries comprising: obtaining a table comprising a plurality of table entries organized by rows and columns; performing a search of an information store based on table entries from a row of the table; extracting sentences or sentence fragments from the search results, the extracted sentences or sentence fragments comprising one or more portions matching the table entries; deriving a sentence template from the extracted sentences or sentence fragments, the sentence template not including the one or more portions matching the table entries and having a structure such that addition of table entries from a row into the sentence template transforms the sentence template into a sentence associated with the row from which the table entries were obtained; replicating a copy of the sentence template for each row in the table; constructing a collection of sentences for the table comprising a sentence for each row constructed using the sentence template and table entries from that row; finishing the sentence template for each row, using table entries from that row, into a sentence for each row; and in response to a request to search the table, searching the sentences associated with the rows of the table. 11. The computer implemented method of claim 10 , wherein the search of the information store is additionally based on a header of the table, a caption, or a text near the table. | 0.649606 |
8,959,045 | 1 | 2 | 1. A system for sharing information across security boundaries comprising: a server including a processor and a memory, the memory including: rules which include rules and instructions for classifying and otherwise handling facts that may be contained within semantic statements in data; ontology which is a specification of concepts and relationships between the concepts; and wherein the memory further includes instructions executed by the processor to provide: theorem prover, wherein when the instructions are executed by the processor the theorem prover: processes a semantic statement from data with the rules and ontology; determines whether the semantic statement is consistent with the rules and ontology; determines a fact that gives rise to an inconsistency if the semantic statement is inconsistent; removes the fact that gives rise to the inconsistency; and releases data when the semantic statement is consistent with the rules and ontology. | 1. A system for sharing information across security boundaries comprising: a server including a processor and a memory, the memory including: rules which include rules and instructions for classifying and otherwise handling facts that may be contained within semantic statements in data; ontology which is a specification of concepts and relationships between the concepts; and wherein the memory further includes instructions executed by the processor to provide: theorem prover, wherein when the instructions are executed by the processor the theorem prover: processes a semantic statement from data with the rules and ontology; determines whether the semantic statement is consistent with the rules and ontology; determines a fact that gives rise to an inconsistency if the semantic statement is inconsistent; removes the fact that gives rise to the inconsistency; and releases data when the semantic statement is consistent with the rules and ontology. 2. The system of claim 1 , wherein the theorem prover further: repeats determining whether the semantic statement is consistent with the rules and ontology, determines an additional fact that gives rise to an inconsistency if the semantic statement is inconsistent, and removes the additional fact that gives rise to the inconsistency until the semantic statement is consistent. | 0.703297 |
5,487,671 | 13 | 16 | 13. Apparatus for interactive speech training comprising: a reference audio specimen database in which non-speaker independent reference audio specimens are stored; a speaker independent parameter database in which speaker independent references are stored; a prompt sequencer operative to generate a sequence of prompts including said reference audio specimens to a user, prompting the user to produce a corresponding sequence of audio specimens, wherein said sequence of prompts branches in response to user performance; and a reference-to-response comparing unit for comparing at least one feature of each of the sequence of audio specimens generated by the user, to a speaker independent reference from said speaker independent parameter database, said speaker independent reference being characterized in that it is classified in a category according to at least one of age, gender and dialect categories. | 13. Apparatus for interactive speech training comprising: a reference audio specimen database in which non-speaker independent reference audio specimens are stored; a speaker independent parameter database in which speaker independent references are stored; a prompt sequencer operative to generate a sequence of prompts including said reference audio specimens to a user, prompting the user to produce a corresponding sequence of audio specimens, wherein said sequence of prompts branches in response to user performance; and a reference-to-response comparing unit for comparing at least one feature of each of the sequence of audio specimens generated by the user, to a speaker independent reference from said speaker independent parameter database, said speaker independent reference being characterized in that it is classified in a category according to at least one of age, gender and dialect categories. 16. Apparatus according to claim 13 wherein the prompt sequencer comprises a multi-language prompt sequence library in which a plurality of prompt sequences in a plurality of languages is stored and wherein the prompt sequencer is operative to generate a sequence of prompts in an individual one of the plurality of languages in response to a user's designation of the individual language as his native language. | 0.5 |
8,840,400 | 36 | 37 | 36. The apparatus of claim 27 wherein the processor compares said communication to stored information related to the lesser skilled individual's ability in the target language. | 36. The apparatus of claim 27 wherein the processor compares said communication to stored information related to the lesser skilled individual's ability in the target language. 37. The apparatus of claim 36 wherein the lesser skilled individual is a student learning the target language on a teaching apparatus and the stored information is obtained from the teaching apparatus. | 0.5 |
7,496,834 | 58 | 62 | 58. The method of claim 1 , wherein the invalid element includes information to be invalidated. | 58. The method of claim 1 , wherein the invalid element includes information to be invalidated. 62. The method of claim 58 , wherein the fragment identifier includes date information. | 0.5 |
8,447,773 | 10 | 11 | 10. A method for accessing a database comprising: constructing, by use of a processor, a request attribute list for a data value name received in a request block by associating an attribute name and a table name from an attribute database with each data value name; adding each table name from the request attribute list to a schema names list in response to the table name not being included in the schema names list; adding each attribute name from the request attribute list to an attribute names list in response to the attribute name not being included in the attribute names list; and building a query statement directed to a target database from the schema names list and the attribute names list with a form “SELECT” followed by each attribute name from the attribute name list followed by “FROM” followed by each table name from the schema names list. | 10. A method for accessing a database comprising: constructing, by use of a processor, a request attribute list for a data value name received in a request block by associating an attribute name and a table name from an attribute database with each data value name; adding each table name from the request attribute list to a schema names list in response to the table name not being included in the schema names list; adding each attribute name from the request attribute list to an attribute names list in response to the attribute name not being included in the attribute names list; and building a query statement directed to a target database from the schema names list and the attribute names list with a form “SELECT” followed by each attribute name from the attribute name list followed by “FROM” followed by each table name from the schema names list. 11. The method of claim 10 , further comprising receiving an inquiry from a request module and converting the inquiry into a common inquiry format. | 0.718391 |
7,840,442 | 1 | 4 | 1. A method comprising: gathering, by at least one processor, click information associated with a member of a search result set having a plurality of members, the search result set produced in response to a search; determining, by the at least one processor, relative responsiveness of the member, compared with the other members of the search result set, based on the click information and on a position of the member in an ordering for display of the search result set; generating, by the at least one processor, a score for association with the member that reflects the relative responsiveness of the member to the search; and using, by the at least one processor, the score to affect a response to a subsequent search. | 1. A method comprising: gathering, by at least one processor, click information associated with a member of a search result set having a plurality of members, the search result set produced in response to a search; determining, by the at least one processor, relative responsiveness of the member, compared with the other members of the search result set, based on the click information and on a position of the member in an ordering for display of the search result set; generating, by the at least one processor, a score for association with the member that reflects the relative responsiveness of the member to the search; and using, by the at least one processor, the score to affect a response to a subsequent search. 4. The method of claim 1 , further comprising adjusting, by the at least one processor, said score to account for a specific knowledge of said member. | 0.741379 |
8,286,241 | 6 | 7 | 6. A non-transitory computer-readable storage medium storing executable computer program instructions for identifying legitimate content, the instructions comprising instructions for: establishing a list of trusted user-agent strings used by legitimate applications in downloading executable content from locations on a network; receiving content download descriptions from a plurality of traffic interception modules connected to the network, the traffic interception modules examining traffic exchanged between clients and servers on the network, recognizing traffic associated with downloads of executable content from the network, and creating content download descriptions identifying executable content downloaded from the network and user-agent strings involved in the executable content downloads; analyzing the content download descriptions to identify content downloads using trusted user-agent strings in the list; adding identifiers including digests of executable content downloaded from the network using the trusted user-agent strings to a white list of legitimate content; and providing a client with access to the white list of legitimate executable content, wherein the client is adapted to use the white list to identify legitimate executable content at the client. | 6. A non-transitory computer-readable storage medium storing executable computer program instructions for identifying legitimate content, the instructions comprising instructions for: establishing a list of trusted user-agent strings used by legitimate applications in downloading executable content from locations on a network; receiving content download descriptions from a plurality of traffic interception modules connected to the network, the traffic interception modules examining traffic exchanged between clients and servers on the network, recognizing traffic associated with downloads of executable content from the network, and creating content download descriptions identifying executable content downloaded from the network and user-agent strings involved in the executable content downloads; analyzing the content download descriptions to identify content downloads using trusted user-agent strings in the list; adding identifiers including digests of executable content downloaded from the network using the trusted user-agent strings to a white list of legitimate content; and providing a client with access to the white list of legitimate executable content, wherein the client is adapted to use the white list to identify legitimate executable content at the client. 7. The computer-readable storage medium of claim 6 , wherein establishing a list of trusted user-agent strings comprises: identifying an application known to be legitimate; observing a hypertext transport protocol (HTTP) request for content made by the known-legitimate application; determining a user-agent string contained in the HTTP request for content made by the known-legitimate application; and storing the determined user-agent string in the list of trusted user-agent strings. | 0.581756 |
9,135,469 | 13 | 19 | 13. A method comprising: parsing user interface information to be included within a user interface to be displayed to a user by a display application; identifying at least one field, within the user interface, to receive user information from a user; storing, in memory, data including: the user information, the user interface information, a predefined authorized set of fields to receive the user information, predefined information corresponding to the predefined authorized set of fields, a list of addresses of fraudulent sources of the user interface information, and a list of addresses of verified sources of the user interface information; determining whether the user interface information is associated with fraudulent activity or originates from a verified source based on the list of addresses of fraudulent sources and the list of addresses of verified sources stored in the memory; and in response to determining that the user interface information originates from a verified source: enabling automatic provision of the user information into the at least one field based on the at least one field corresponding to the predefined authorized set of fields and based on predefined information that corresponds to the to the at least one field, generating a limited use credit card number for a financial transaction, and automatically filling, for the financial transaction, the limited use credit card number into a designated credit card number field based on the designated credit card number field corresponding to the predefined authorized set of fields; instead of: providing a warning indicia relative to the at least one field of the user interface displayed to the user by the information display application, disabling automatic provision of the user information into the at least one field, and preventing the user from manually inputting information into the at least one field that is displayed to the user by the information display application. | 13. A method comprising: parsing user interface information to be included within a user interface to be displayed to a user by a display application; identifying at least one field, within the user interface, to receive user information from a user; storing, in memory, data including: the user information, the user interface information, a predefined authorized set of fields to receive the user information, predefined information corresponding to the predefined authorized set of fields, a list of addresses of fraudulent sources of the user interface information, and a list of addresses of verified sources of the user interface information; determining whether the user interface information is associated with fraudulent activity or originates from a verified source based on the list of addresses of fraudulent sources and the list of addresses of verified sources stored in the memory; and in response to determining that the user interface information originates from a verified source: enabling automatic provision of the user information into the at least one field based on the at least one field corresponding to the predefined authorized set of fields and based on predefined information that corresponds to the to the at least one field, generating a limited use credit card number for a financial transaction, and automatically filling, for the financial transaction, the limited use credit card number into a designated credit card number field based on the designated credit card number field corresponding to the predefined authorized set of fields; instead of: providing a warning indicia relative to the at least one field of the user interface displayed to the user by the information display application, disabling automatic provision of the user information into the at least one field, and preventing the user from manually inputting information into the at least one field that is displayed to the user by the information display application. 19. The method of claim 13 , wherein determining whether the user interface information is associated with fraudulent activity or originates from a verified source includes communicating with a server to compare a network address included in the user interface information with a list of addresses of fraudulent or verified sources stored in a memory on the server. | 0.5 |
9,953,049 | 12 | 19 | 12. A non-transitory computer-readable storage medium storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: obtaining data identifying a set of pages to be ranked, wherein each page in the set of pages is connected to at least one other page in the set of pages by a page link; obtaining data identifying a set of n seed pages that each include at least one outgoing link to a page in the set of pages, wherein n is greater than one; accessing respective lengths assigned to one or more of the page links and one or more of the outgoing links; and for each page in the set of pages: identifying a kth-closest seed page to the page according to the respective lengths, wherein k is greater than one and less than n, determining a shortest distance from the kth-closest seed page to the page; and determining a ranking score for the page based on the determined shortest distance, wherein the ranking score is a measure of a relative quality of the page relative to other pages in the set of pages. | 12. A non-transitory computer-readable storage medium storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: obtaining data identifying a set of pages to be ranked, wherein each page in the set of pages is connected to at least one other page in the set of pages by a page link; obtaining data identifying a set of n seed pages that each include at least one outgoing link to a page in the set of pages, wherein n is greater than one; accessing respective lengths assigned to one or more of the page links and one or more of the outgoing links; and for each page in the set of pages: identifying a kth-closest seed page to the page according to the respective lengths, wherein k is greater than one and less than n, determining a shortest distance from the kth-closest seed page to the page; and determining a ranking score for the page based on the determined shortest distance, wherein the ranking score is a measure of a relative quality of the page relative to other pages in the set of pages. 19. The computer-readable medium of claim 12 , the operations further comprising: using the ranking score in ranking one or more of the pages in response to a received search query. | 0.663569 |
9,965,272 | 8 | 12 | 8. A method of monitoring system project development, the method comprising: receiving, via a communication interface, via one or more networks, information included in communications about the project between at least one of a product owner, a developer, and a project manager; identifying, by a processor, from the information a plurality of user stories and a plurality of resources associated with each of the plurality of user stories for completion during the development; assigning, by a processor, each of the plurality of user stories a priority and a value based on an amount of effort required to complete the respective user story and storing the user story, the assigned priority and assigned value in a memory as a product backlog; providing a threshold based on the resources and development based on the assigned value based on the organizational priorities of the development; monitoring the burndown of each of the plurality of user stories, estimated priority and assigned value as ones of the plurality of user stories are completed as compared to the provided threshold; at the processor, accessing the memory to read the product backlog including the assigned priorities and the assigned values, and selecting at least one user story and the assigned priorities and the assigned values from the product backlog for building a sprint based on the assigned priorities and the assigned values; calibrating, at the processor, a difference in the value of each of the plurality of user stories using a central calibration within an organization; upon completion of any of the user stories included in the backlog, updating, by the processor, the product backlog in the memory and adjusting resources associated with each of the plurality of user stories in the product backlog; and at the processor, iterating the selecting and updating based on the information that evidences that user stories are being completed and that additional story points are selected for inclusion in the backlog; and displaying, on a display device, the backlog as selected by the processor from the product backlog and the status of the project development based on user stories remaining in the product backlog as compared to the user stories completed from the product backlog. | 8. A method of monitoring system project development, the method comprising: receiving, via a communication interface, via one or more networks, information included in communications about the project between at least one of a product owner, a developer, and a project manager; identifying, by a processor, from the information a plurality of user stories and a plurality of resources associated with each of the plurality of user stories for completion during the development; assigning, by a processor, each of the plurality of user stories a priority and a value based on an amount of effort required to complete the respective user story and storing the user story, the assigned priority and assigned value in a memory as a product backlog; providing a threshold based on the resources and development based on the assigned value based on the organizational priorities of the development; monitoring the burndown of each of the plurality of user stories, estimated priority and assigned value as ones of the plurality of user stories are completed as compared to the provided threshold; at the processor, accessing the memory to read the product backlog including the assigned priorities and the assigned values, and selecting at least one user story and the assigned priorities and the assigned values from the product backlog for building a sprint based on the assigned priorities and the assigned values; calibrating, at the processor, a difference in the value of each of the plurality of user stories using a central calibration within an organization; upon completion of any of the user stories included in the backlog, updating, by the processor, the product backlog in the memory and adjusting resources associated with each of the plurality of user stories in the product backlog; and at the processor, iterating the selecting and updating based on the information that evidences that user stories are being completed and that additional story points are selected for inclusion in the backlog; and displaying, on a display device, the backlog as selected by the processor from the product backlog and the status of the project development based on user stories remaining in the product backlog as compared to the user stories completed from the product backlog. 12. The method of claim 8 wherein one of the plurality of user stories provides a basis for the respective priority associated with each of the other of the plurality of user stories. | 0.5 |
8,484,551 | 2 | 3 | 2. The method of claim 1 , wherein the determination includes: creating a transient raster version of the electronic document; and using a raster-based edge detection technique on the transient raster version of the electronic document to determine whether one or more sides of the perimeter intersect one or more graphical elements in the electronic document. | 2. The method of claim 1 , wherein the determination includes: creating a transient raster version of the electronic document; and using a raster-based edge detection technique on the transient raster version of the electronic document to determine whether one or more sides of the perimeter intersect one or more graphical elements in the electronic document. 3. The method of claim 2 , wherein the raster-based edge detection technique uses a Hough transform to identify one or more graphical elements in the electronic document. | 0.5 |
8,627,203 | 3 | 4 | 3. The method of claim 1 , wherein said assessing a layout of the script document comprises performing a statistical analysis of the layout of the script document, and wherein determining a preliminary identification of the plurality of script elements comprises using results of the statistical analysis to identify one or more of the script elements based on statistical groupings of the one or more script elements according to relative physical locations of the one or more script elements within the script document. | 3. The method of claim 1 , wherein said assessing a layout of the script document comprises performing a statistical analysis of the layout of the script document, and wherein determining a preliminary identification of the plurality of script elements comprises using results of the statistical analysis to identify one or more of the script elements based on statistical groupings of the one or more script elements according to relative physical locations of the one or more script elements within the script document. 4. The method of claim 3 , wherein said performing a statistical analysis comprises generating a histogram indicative of the physical locations of the one or more script elements relative to other portions of the script document, wherein the histogram comprises counts of elements in the script document at a plurality of respective physical locations in the script document. | 0.5 |
8,195,653 | 5 | 6 | 5. The computer-implemented method of claim 4 , wherein utilizing both the query and the computing device's location to determine if an implicit local intent is present further comprises generating an enhanced query utilizing the at least one term having an explicit local intent. | 5. The computer-implemented method of claim 4 , wherein utilizing both the query and the computing device's location to determine if an implicit local intent is present further comprises generating an enhanced query utilizing the at least one term having an explicit local intent. 6. The computer-implemented method of claim 5 , wherein utilizing a search engine to determine at least one local, location-specific result for the received query comprises utilizing a search engine to identify at least one frequently selected Uniform Resource Locator (URL) generated based upon the enhanced query, the at least one frequently selected URL being frequently selected upon the subsequent query being received from users having computing devices associated with IP addresses associated with the geographic region. | 0.5 |
9,218,422 | 9 | 13 | 9. A computerized method comprising: receiving a search query from an end user; identifying a search result web page in response to the search query by querying a search engine index based on the search query; identifying a website category of a website at which the search result web page is located; accessing user behavior information for the end user, the user behavior information mapping deeplink page types of deeplink pages previously visited by the end user to website categories of websites at which the deeplink pages are located; identifying, from the user behavior information, a deeplink page type of one or more deeplink pages previously visited by the end user at one or more other websites within the website category of the website at which the search result web page is located; identifying a first deeplink page within the website at which the search result web page is located corresponding with the deeplink page type of the one or more deeplink pages previously visited by the end user at the one or more other websites within the website category of the website at which the search result web page is located; generating a search result for the search result web page to include a deeplink to the first deeplink page within the website at which the search result webpage is located; and providing the search result for presentation to the end user. | 9. A computerized method comprising: receiving a search query from an end user; identifying a search result web page in response to the search query by querying a search engine index based on the search query; identifying a website category of a website at which the search result web page is located; accessing user behavior information for the end user, the user behavior information mapping deeplink page types of deeplink pages previously visited by the end user to website categories of websites at which the deeplink pages are located; identifying, from the user behavior information, a deeplink page type of one or more deeplink pages previously visited by the end user at one or more other websites within the website category of the website at which the search result web page is located; identifying a first deeplink page within the website at which the search result web page is located corresponding with the deeplink page type of the one or more deeplink pages previously visited by the end user at the one or more other websites within the website category of the website at which the search result web page is located; generating a search result for the search result web page to include a deeplink to the first deeplink page within the website at which the search result webpage is located; and providing the search result for presentation to the end user. 13. The method of claim 9 , wherein the user behavior information comprises one or more website category-deeplink page type pairs and wherein identifying the first deeplink page within the website at which the search result web page is located comprises: identifying a first website category-deeplink page pair that includes the website category of the website at which the search result web page is located; comparing the deeplink page of the first website category-deeplink page pair to deeplink pages of the website at which the search result web page is located to select the first deeplink page. | 0.579832 |
10,140,979 | 21 | 22 | 21. The method of claim 20 , wherein the scalar representation of Q f for a given f comprises: r f ( x ) = ∑ k = 1 V q k f * E k - 1 where q k f represents the k th feature of Q f . | 21. The method of claim 20 , wherein the scalar representation of Q f for a given f comprises: r f ( x ) = ∑ k = 1 V q k f * E k - 1 where q k f represents the k th feature of Q f . 22. The method of claim 21 , wherein determining posterior probability P f for a given (x, b) pair comprises: P f ( x , b ) = U f [ r f ( x ) ] [ b ] ∑ d = 1 M U f [ r f ( x ) ] [ b ] . | 0.5 |
7,644,281 | 1 | 8 | 1. A method for embedding a digital watermark w into textual and/or vector graphics documents of electronic and/or hard-copy form, based on the modulation of luminance or grayscale values, of color values, and/or of halftone patterns of characters and/or of vector elements, the method comprising the steps of (a) encoding a digital message m, resulting into a codeword c; spatially allocating the codeword c, resulting into a watermark signal w suitable for text and/or vector graphics modulation, (b) parsing the original input document in electronic format x in order to isolate all its components, (c) selecting text and/or vector graphics components x text which will carry the watermark w and parsing components x text in order to select single entities or elements to use to encode individual w symbols; and keeping the remaining non selected components x non-text for later document recomposition, (d) modulating the grayscale attributes, the color attributes and/or the halftone pattern attributes of the selected elements in the selected text and/or vector graphics components x text , (e) recomposing the document from the marked version of selected components x text and the remaining components x non-text , resulting into a watermarked document y, which can be stored, distributed, and/or used in electronic form as electronic document {hacek over (y)} a or in printed form as hard copy document {hacek over (y)} b . | 1. A method for embedding a digital watermark w into textual and/or vector graphics documents of electronic and/or hard-copy form, based on the modulation of luminance or grayscale values, of color values, and/or of halftone patterns of characters and/or of vector elements, the method comprising the steps of (a) encoding a digital message m, resulting into a codeword c; spatially allocating the codeword c, resulting into a watermark signal w suitable for text and/or vector graphics modulation, (b) parsing the original input document in electronic format x in order to isolate all its components, (c) selecting text and/or vector graphics components x text which will carry the watermark w and parsing components x text in order to select single entities or elements to use to encode individual w symbols; and keeping the remaining non selected components x non-text for later document recomposition, (d) modulating the grayscale attributes, the color attributes and/or the halftone pattern attributes of the selected elements in the selected text and/or vector graphics components x text , (e) recomposing the document from the marked version of selected components x text and the remaining components x non-text , resulting into a watermarked document y, which can be stored, distributed, and/or used in electronic form as electronic document {hacek over (y)} a or in printed form as hard copy document {hacek over (y)} b . 8. The method of claim 1 wherein said electronic input document x is adapted to be converted into one “generic” format in order to design a watermark embedder for that format only, wherein that generic format includes each member of the group formed of LaTeX (.tex), PostScript (.ps), or Acrobat (.pdf). | 0.842352 |
10,123,725 | 7 | 8 | 7. A method of altering a recipient's ability to hear with a hearing prosthesis implanted in a recipient, comprising: subjecting a recipient who has participated in a plurality of respective temporally spaced aural training tasks to a plurality of respective temporally spaced aural tests, the respective aural tests evoking hearing percepts evoked by the hearing prosthesis; influencing the recipient's commitment to performing subsequent aural training tasks based on first data relating to the aural tests; and at least partially refitting the hearing prosthesis after influencing the recipient's commitment to performing subsequent aural training tasks and after the recipient has engaged in the subsequent aural training tasks. | 7. A method of altering a recipient's ability to hear with a hearing prosthesis implanted in a recipient, comprising: subjecting a recipient who has participated in a plurality of respective temporally spaced aural training tasks to a plurality of respective temporally spaced aural tests, the respective aural tests evoking hearing percepts evoked by the hearing prosthesis; influencing the recipient's commitment to performing subsequent aural training tasks based on first data relating to the aural tests; and at least partially refitting the hearing prosthesis after influencing the recipient's commitment to performing subsequent aural training tasks and after the recipient has engaged in the subsequent aural training tasks. 8. The method of claim 7 , wherein: the action of influencing the recipient's commitment includes presenting second data to the recipient, the second data being indicative of negative repercussions to the recipient and being based on the first data. | 0.723333 |
4,221,061 | 1 | 5 | 1. An aid for teaching word pronunciation comprising: a set of alphabetical letters in material form, said letters being arrangeable to form words; at least one of said letters having a structural distinction from other letters in said set, in addition to conventional differences of alphabetic configuration; said structural distinction selected from a group of at least three structural distinctions, each distinction denoting a particular pronunciation of said letter in the formed word; one of said distinctions being that the letter is transparent, to denote that the letter is silent in the formed word; another of said distinctions being that the letter is of a greater height than the other letters, to denote that the letter is to be pronounced with a long vowel sound; still another of said distinctions being that the letter is in the shape of an object, to denote that the letter is to be pronounced as in the word for the depicted object. | 1. An aid for teaching word pronunciation comprising: a set of alphabetical letters in material form, said letters being arrangeable to form words; at least one of said letters having a structural distinction from other letters in said set, in addition to conventional differences of alphabetic configuration; said structural distinction selected from a group of at least three structural distinctions, each distinction denoting a particular pronunciation of said letter in the formed word; one of said distinctions being that the letter is transparent, to denote that the letter is silent in the formed word; another of said distinctions being that the letter is of a greater height than the other letters, to denote that the letter is to be pronounced with a long vowel sound; still another of said distinctions being that the letter is in the shape of an object, to denote that the letter is to be pronounced as in the word for the depicted object. 5. A teaching aid in accordance with claim 1 wherein said set of alphabetical letters includes the letter E having a vertical stem from which three horizontal branches project, and with two adjacent horizontal branches connected at a point spaced laterally from said stem to denote its pronunciation as being that of the letter E in the word HEY. | 0.52861 |
8,300,023 | 28 | 30 | 28. A computing device coupled to a touch sensitive surface, comprising: means for receiving a series of coordinates of a series of user touches on the touch sensitive surface; means for correlating a plurality of keys with the received series of coordinates; means for determining an average of received coordinates correlated with each of the plurality of keys, wherein the means for determining the average of received coordinates correlated with each of the plurality of keys comprises: means for calculating a variability of key-strike locations for each of the plurality of keys; means for determining when the calculated variability of key-strike locations for each of the plurality of keys has plateaued; and means for calculating an average of coordinate key strike locations for each of the plurality of keys once the variability of key strike locations has plateaued; means for saving the calculated average coordinates for each of the plurality of keys in keypad layout data; and means for generating an image of a virtual keypad using the keypad layout data. | 28. A computing device coupled to a touch sensitive surface, comprising: means for receiving a series of coordinates of a series of user touches on the touch sensitive surface; means for correlating a plurality of keys with the received series of coordinates; means for determining an average of received coordinates correlated with each of the plurality of keys, wherein the means for determining the average of received coordinates correlated with each of the plurality of keys comprises: means for calculating a variability of key-strike locations for each of the plurality of keys; means for determining when the calculated variability of key-strike locations for each of the plurality of keys has plateaued; and means for calculating an average of coordinate key strike locations for each of the plurality of keys once the variability of key strike locations has plateaued; means for saving the calculated average coordinates for each of the plurality of keys in keypad layout data; and means for generating an image of a virtual keypad using the keypad layout data. 30. The computing device of claim 28 , further comprising: means for determining a statistical envelope based upon received coordinates for each of the plurality of keys by calculating standard deviations about the calculated average coordinates for each of the plurality of keys; and means for saving the statistical envelope for each of the plurality of keys in the keypad layout data. | 0.6083 |
9,907,574 | 5 | 6 | 5. The pivotal bone anchor assembly of claim 1 , wherein the compression insert is downwardly deployable by a first tool that is removably inserted into the open channel along the longitudinal axis. | 5. The pivotal bone anchor assembly of claim 1 , wherein the compression insert is downwardly deployable by a first tool that is removably inserted into the open channel along the longitudinal axis. 6. The pivotal bone anchor assembly of claim 5 , wherein the compression insert is upwardly retrievable from the forced interference engagement using a second tool so as to release the shank from a fixed angular orientation relative to the receiver. | 0.5 |
9,472,115 | 14 | 16 | 14. A computer program product comprising a non-transitory computer readable medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system, causes the data processing system to be specifically configured to implement a hypothetical ontological link identification and evaluation engine that operates to: receive an ontology data structure based on a set of evidential data specifying a plurality of information concept entities and valid links representing known relationships between the information concept entities that are directly identified by direct evidence in the set of evidential data; generate a hypothetical ontological link between at least two information concept entities in the ontology data structure, wherein the hypothetical link is a link that does not have direct evidence in the evidential data directly identifying a direct link between the at least two information concept entities; evaluate the set of evidential data with regard to whether or not indirect evidence in the set of evidential data supports or refutes existence of the hypothetical ontological link, wherein the evaluation of the set of evidential data comprises analyzing language of natural language statements in the set of evidential data to identify certainty terms within the natural language statements; calculate a confidence value for the hypothetical ontological link based on results of the evaluation of the set of evidential data; and modify the ontology data structure to include the hypothetical ontological link as a new valid link in the ontology data structure in response to the knowledge output indicating the hypothetical ontological link to be a valid link between the at least two information concept objects in the ontology data structure. | 14. A computer program product comprising a non-transitory computer readable medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system, causes the data processing system to be specifically configured to implement a hypothetical ontological link identification and evaluation engine that operates to: receive an ontology data structure based on a set of evidential data specifying a plurality of information concept entities and valid links representing known relationships between the information concept entities that are directly identified by direct evidence in the set of evidential data; generate a hypothetical ontological link between at least two information concept entities in the ontology data structure, wherein the hypothetical link is a link that does not have direct evidence in the evidential data directly identifying a direct link between the at least two information concept entities; evaluate the set of evidential data with regard to whether or not indirect evidence in the set of evidential data supports or refutes existence of the hypothetical ontological link, wherein the evaluation of the set of evidential data comprises analyzing language of natural language statements in the set of evidential data to identify certainty terms within the natural language statements; calculate a confidence value for the hypothetical ontological link based on results of the evaluation of the set of evidential data; and modify the ontology data structure to include the hypothetical ontological link as a new valid link in the ontology data structure in response to the knowledge output indicating the hypothetical ontological link to be a valid link between the at least two information concept objects in the ontology data structure. 16. The computer program product of claim 14 , wherein the certainty terms comprise hedging terms or phrases indicative of a lack of certainty in the facts or conclusion specified in the evidential data, and wherein the computer readable program causes the computing device to calculate the confidence value for the hypothetical ontological link based on results of the evaluation of the set of evidential data at least by decreasing a confidence value for the hypothetical ontological link in response to detecting hedging terms or phrases in the evidential data. | 0.501767 |
9,818,400 | 17 | 32 | 17. The method of claim 1 , further comprising: updating an n-gram language model associated with the automatic speech recognizer based on the candidate term. | 17. The method of claim 1 , further comprising: updating an n-gram language model associated with the automatic speech recognizer based on the candidate term. 32. The method of claim 17 , wherein updating the n-gram language model associated with the automatic speech recognizer is based at least in part on a context or a statistic comprising the notification comprising the candidate term. | 0.5 |
9,812,130 | 10 | 11 | 10. The speech recognition engine of claim 9 wherein when converting the audio to the first interim text, the speech recognizer creates a plurality of smaller audio files from the audio and converts the plurality of smaller audio files into a corresponding plurality of first interim text files. | 10. The speech recognition engine of claim 9 wherein when converting the audio to the first interim text, the speech recognizer creates a plurality of smaller audio files from the audio and converts the plurality of smaller audio files into a corresponding plurality of first interim text files. 11. The speech recognition engine of claim 10 further comprising an index engine, wherein the index engine correlates the plurality of smaller audio files and the corresponding plurality of first interim text files. | 0.5 |
9,250,711 | 9 | 11 | 9. A handheld electronic device comprising: an input apparatus; an output apparatus; and a processor apparatus comprising a processor and a memory, wherein the processor apparatus is structured to: detect an ambiguous character-string input that comprises a current character input and a previous character input; generate a plurality of character permutations of the ambiguous character-string input, at least one of the character permutations being a potential artificial variant that is neither a prefix of a word object nor is identical to a word object; output at least one of the character permutations other than the potential artificial variant; determine that the potential artificial variant has been displayed during a current session; based on the determination that the potential artificial variant has been displayed during a current session, output a displayed artificial variant as a representation of the potential artificial variant, wherein the displayed artificial variant is outputted at a position of relatively lower priority than at least one of the outputted character permutations; determine that the displayed artificial variant is not selected; and based on the determination that the displayed artificial variant is not selected, suppress from being output an offspring artificial variant of the unselected artificial variant when a next character input associated with the ambiguous character-string is detected. | 9. A handheld electronic device comprising: an input apparatus; an output apparatus; and a processor apparatus comprising a processor and a memory, wherein the processor apparatus is structured to: detect an ambiguous character-string input that comprises a current character input and a previous character input; generate a plurality of character permutations of the ambiguous character-string input, at least one of the character permutations being a potential artificial variant that is neither a prefix of a word object nor is identical to a word object; output at least one of the character permutations other than the potential artificial variant; determine that the potential artificial variant has been displayed during a current session; based on the determination that the potential artificial variant has been displayed during a current session, output a displayed artificial variant as a representation of the potential artificial variant, wherein the displayed artificial variant is outputted at a position of relatively lower priority than at least one of the outputted character permutations; determine that the displayed artificial variant is not selected; and based on the determination that the displayed artificial variant is not selected, suppress from being output an offspring artificial variant of the unselected artificial variant when a next character input associated with the ambiguous character-string is detected. 11. The device of claim 9 , wherein the processor is further structured to make a determination that at least a portion of the potential artificial variant corresponds with an N-gram object associated with a frequency object having a frequency value above a predetermined threshold. | 0.657767 |
9,710,513 | 9 | 12 | 9. An access management system, comprising: a first access management device, a second access management device and a third access management device; the first access management device is configured to: when detecting that a Mobile Node (MN) accessing the first access management device is offline, query a local Access Identity (AID) and Routing Identity (RID) mapping table, determine a correspondent node of the offline MN, send a mapping table entry update message carrying a mapping table entry corresponding to the MN in which the RID is set to be NULL to the second access management device and the third access management device, and set an RID in a mapping table entry corresponding to the MN to be NULL, which represents that the MN does not access any Access Switching Router (ASR) currently; and the second access management device is configured to: receive the mapping table entry update message sent by the first access management device, update the locally stored RID in the mapping table entry corresponding to the MN to be NULL according to the mapping table entry update message received, and when an RID in a mapping table entry corresponding to a destination AID of a locally received message is NULL, discard the locally received message; and the third access management device is configured to: receive the mapping table entry update message sent by the first access management device, update the locally stored RID in the mapping table entry corresponding to the MN to be NULL according to the mapping table entry update message received, and when a message for requesting the mapping table entry corresponding to the MN is received, send a response message, and carry the mapping table entry corresponding to the MN in the response message, wherein, the RID recorded in the mapping table entry is NULL. | 9. An access management system, comprising: a first access management device, a second access management device and a third access management device; the first access management device is configured to: when detecting that a Mobile Node (MN) accessing the first access management device is offline, query a local Access Identity (AID) and Routing Identity (RID) mapping table, determine a correspondent node of the offline MN, send a mapping table entry update message carrying a mapping table entry corresponding to the MN in which the RID is set to be NULL to the second access management device and the third access management device, and set an RID in a mapping table entry corresponding to the MN to be NULL, which represents that the MN does not access any Access Switching Router (ASR) currently; and the second access management device is configured to: receive the mapping table entry update message sent by the first access management device, update the locally stored RID in the mapping table entry corresponding to the MN to be NULL according to the mapping table entry update message received, and when an RID in a mapping table entry corresponding to a destination AID of a locally received message is NULL, discard the locally received message; and the third access management device is configured to: receive the mapping table entry update message sent by the first access management device, update the locally stored RID in the mapping table entry corresponding to the MN to be NULL according to the mapping table entry update message received, and when a message for requesting the mapping table entry corresponding to the MN is received, send a response message, and carry the mapping table entry corresponding to the MN in the response message, wherein, the RID recorded in the mapping table entry is NULL. 12. The access management system according to claim 9 , wherein, the third access management device is further configured to: receive a mapping table entry update message sent by an ASR which the MN reaccesses, wherein, a mapping table entry recording a mapping relationship between an AID of the MN and an RID of the reaccessed ASR is included in the mapping table entry update message; update the mapping table entry corresponding to the MN to the mapping table entry in the mapping table entry update message, and inform the second access management device of a new mapping table entry corresponding to the MN. | 0.5 |
9,124,908 | 1 | 2 | 1. A method, comprising: receiving, by a system including a processor, a plurality of user-generated comments associated with media content, wherein the plurality of user-generated comments are annotated to the media content during presentations of the media content by a group of communication devices; identifying, by the system from the plurality of user-generated comments, a cluster of comments associated with a segment of the media content based on a frequency of the plurality of user-generated comments; filtering, by the system, the cluster of comments based on subject matter to generate a filtered cluster of comments; identifying, by the system, a sample segment according to a range of the segment of the media content that is to be transmitted to a recipient device; and transmitting, by the system, the filtered cluster of comments and the sample segment to the recipient device. | 1. A method, comprising: receiving, by a system including a processor, a plurality of user-generated comments associated with media content, wherein the plurality of user-generated comments are annotated to the media content during presentations of the media content by a group of communication devices; identifying, by the system from the plurality of user-generated comments, a cluster of comments associated with a segment of the media content based on a frequency of the plurality of user-generated comments; filtering, by the system, the cluster of comments based on subject matter to generate a filtered cluster of comments; identifying, by the system, a sample segment according to a range of the segment of the media content that is to be transmitted to a recipient device; and transmitting, by the system, the filtered cluster of comments and the sample segment to the recipient device. 2. The method of claim 1 , wherein the range of the segment is a portion of the segment starting at a time period before a first comment and after a second comment. | 0.845865 |
8,832,135 | 1 | 6 | 1. A method for automatically providing a plurality of additional database query terms to a user, the method comprising: receiving a first query term from the user; receiving a plurality of characters from the user, wherein the plurality of characters is only a portion of a second query term; selecting a first set of records from a database based on the first query term, wherein the database comprises records, and wherein the records comprise text translated from audio data associated with a call, wherein each word in a record is associated with a corresponding confidence factor, the confidence factor representing an accuracy of translation of the word from audio to text, the records further comprising metadata that includes information about a party to the call, a time of the call and a date of the call; determining, in a first pass, a first plurality of additional query terms based on the plurality of characters, wherein the first plurality of additional query terms are in a semantic network; for each one of the first plurality of additional query terms, determining a relevance of the additional query term with respect to the first plurality of additional query terms by processing all records in the database, including the metadata, to select a second set of records from the database based on the additional query term and comparing the second set of records with the first set of records selected based on the first query term, wherein the relevance is also determined at least in part based on semantic information related to the records; recursively determining, in at least a subsequent pass to the first pass, a second plurality of additional query terms based on previously determined additional query terms and determining the relevance of the recursively determined second plurality of additional query terms, wherein the relevance is determined at least in part based on semantic information related to the records; displaying at least one additional query term selected from the first plurality of additional query terms and the second plurality of additional query terms to the user for selection, the display based on the relevance of each of the plurality of additional query terms and on the confidence factor of each additional query term. | 1. A method for automatically providing a plurality of additional database query terms to a user, the method comprising: receiving a first query term from the user; receiving a plurality of characters from the user, wherein the plurality of characters is only a portion of a second query term; selecting a first set of records from a database based on the first query term, wherein the database comprises records, and wherein the records comprise text translated from audio data associated with a call, wherein each word in a record is associated with a corresponding confidence factor, the confidence factor representing an accuracy of translation of the word from audio to text, the records further comprising metadata that includes information about a party to the call, a time of the call and a date of the call; determining, in a first pass, a first plurality of additional query terms based on the plurality of characters, wherein the first plurality of additional query terms are in a semantic network; for each one of the first plurality of additional query terms, determining a relevance of the additional query term with respect to the first plurality of additional query terms by processing all records in the database, including the metadata, to select a second set of records from the database based on the additional query term and comparing the second set of records with the first set of records selected based on the first query term, wherein the relevance is also determined at least in part based on semantic information related to the records; recursively determining, in at least a subsequent pass to the first pass, a second plurality of additional query terms based on previously determined additional query terms and determining the relevance of the recursively determined second plurality of additional query terms, wherein the relevance is determined at least in part based on semantic information related to the records; displaying at least one additional query term selected from the first plurality of additional query terms and the second plurality of additional query terms to the user for selection, the display based on the relevance of each of the plurality of additional query terms and on the confidence factor of each additional query term. 6. The method of claim 1 , wherein the relevance is determined at least in part based on syntactic information related to the set of records. | 0.688053 |
8,799,658 | 1 | 15 | 1. A computer-implemented method comprising: under control of one or more computer systems configured with executable instructions, receiving, at a server, a request from a first user to store a media item for later access by an electronic book reader device associated with a second user, wherein the request from the first user does not include information identifying the second user or the electronic book reader device associated with the second user as an intended recipient of the media item; in response to receiving the request at the server, associating a pass phrase with the request to store the media item; sending the pass phrase from the server to a device of the first user or to another device associated with the first user; after sending the pass phrase, receiving, at the server, the media item from the device of the first user; after receiving the media item at the server, storing the media item in association with the pass phrase, the pass phrase being usable for the later access of the media item by the electronic book reader device associated with the second user; receiving, at the server, the pass phrase from the electronic book reader device associated with the second user; and sending the media item from the server to the electronic book reader device associated with the second user at least partly in response to the receiving of the pass phrase at the server. | 1. A computer-implemented method comprising: under control of one or more computer systems configured with executable instructions, receiving, at a server, a request from a first user to store a media item for later access by an electronic book reader device associated with a second user, wherein the request from the first user does not include information identifying the second user or the electronic book reader device associated with the second user as an intended recipient of the media item; in response to receiving the request at the server, associating a pass phrase with the request to store the media item; sending the pass phrase from the server to a device of the first user or to another device associated with the first user; after sending the pass phrase, receiving, at the server, the media item from the device of the first user; after receiving the media item at the server, storing the media item in association with the pass phrase, the pass phrase being usable for the later access of the media item by the electronic book reader device associated with the second user; receiving, at the server, the pass phrase from the electronic book reader device associated with the second user; and sending the media item from the server to the electronic book reader device associated with the second user at least partly in response to the receiving of the pass phrase at the server. 15. The computer-implemented method of claim 1 , further comprising: storing the media item for a predetermined amount of time at least partly in response to the receiving of the request and the media item; receiving a request from the first user to remove the media item from storage before the predetermined amount of time elapses; and removing the media item from storage at least partly in response to the receiving of the request to remove the media item from storage. | 0.71506 |
7,949,574 | 10 | 11 | 10. The system of claim 7 , further comprising a data mining tool to analyze data relating to the user to produce campaign rules including a propensity rating for the user to be interested in a particular campaign. | 10. The system of claim 7 , further comprising a data mining tool to analyze data relating to the user to produce campaign rules including a propensity rating for the user to be interested in a particular campaign. 11. The system of claim 10 , further comprising a campaign targeting component for generating a target list of users to whom campaigns should be targeted based on the campaign rules and propensity ratings. | 0.5 |
9,848,068 | 4 | 5 | 4. The method of claim 3 , further comprising: initializing a plurality of counters, each counter associated with a respective one of the plurality of match fields; incrementing each of the plurality of counters for each of the plurality of rules that requires extraction of each of the respective match fields; and determining the parser for use in accordance with the plurality of counters. | 4. The method of claim 3 , further comprising: initializing a plurality of counters, each counter associated with a respective one of the plurality of match fields; incrementing each of the plurality of counters for each of the plurality of rules that requires extraction of each of the respective match fields; and determining the parser for use in accordance with the plurality of counters. 5. The method of claim 4 , further comprising building a reference table associated with the table, the reference table having a first row corresponding to the plurality of match fields and a second row corresponding to the plurality of counters. | 0.5 |
8,874,667 | 10 | 12 | 10. A system for linking topics in a publish/subscribe messaging environment, comprising: a processor; and memory connected to the processor, wherein the memory is encoded with instructions and wherein the instructions when executed comprise: instructions for linking a first topic stream of a first root topic to at least a second topic stream of at least a second root topic, wherein there is no commonality between said first topic stream of said first root topic and said at least a second topic stream of said at least a second root topic, and wherein a cyclic check includes loop detection when linking said first root topic to said at least a second root topic; instructions for allowing at least a first subscriber to register to said first topic stream; instructions for allowing at least a second subscriber to register to said at least a second topic stream; instructions for storing, in a node of said first topic stream, a list of said linked at least a second topic stream, wherein said list can be updated at runtime by an administrator to add or remove links; instructions for publishing at least a first message on said first topic stream to said at least a first subscriber of said first topic stream; instructions for referencing said list of said linked at least a second topic stream in a same transaction as publishing said at least a first message on said first topic stream; and instructions for publishing said at least a first message to said at least a second subscriber of said linked at least a second topic stream. | 10. A system for linking topics in a publish/subscribe messaging environment, comprising: a processor; and memory connected to the processor, wherein the memory is encoded with instructions and wherein the instructions when executed comprise: instructions for linking a first topic stream of a first root topic to at least a second topic stream of at least a second root topic, wherein there is no commonality between said first topic stream of said first root topic and said at least a second topic stream of said at least a second root topic, and wherein a cyclic check includes loop detection when linking said first root topic to said at least a second root topic; instructions for allowing at least a first subscriber to register to said first topic stream; instructions for allowing at least a second subscriber to register to said at least a second topic stream; instructions for storing, in a node of said first topic stream, a list of said linked at least a second topic stream, wherein said list can be updated at runtime by an administrator to add or remove links; instructions for publishing at least a first message on said first topic stream to said at least a first subscriber of said first topic stream; instructions for referencing said list of said linked at least a second topic stream in a same transaction as publishing said at least a first message on said first topic stream; and instructions for publishing said at least a first message to said at least a second subscriber of said linked at least a second topic stream. 12. The system of claim 10 , wherein instructions for publishing at least a second message on said second topic stream is not published to said first topic stream. | 0.654661 |
9,525,746 | 11 | 17 | 11. A system for creating a user-specific playlist based on feedback received during playing of a song in a virtual environment, the system comprising: one or more computer processors; a memory containing a program which, when executed by the one or more computer processors, is configured to perform operations comprising: receiving an instance of feedback about a song, from a user, during playing of the song in a virtual environment; determining a first situational context that corresponds to a first situation of an avatar of the user in the virtual environment at a time of receipt of the instance of feedback; populating a data structure with an entry for the instance of feedback, wherein the entry comprises, for the instance: (i) information identifying the song, and (ii) information corresponding to the first situational context; and determining a second situational context that corresponds to a second situation of the avatar of the user in the virtual environment; and generating a playlist specific to the user in the virtual environment based on the instance of feedback responsive to a determination that the second situational context corresponds to the first situational context. | 11. A system for creating a user-specific playlist based on feedback received during playing of a song in a virtual environment, the system comprising: one or more computer processors; a memory containing a program which, when executed by the one or more computer processors, is configured to perform operations comprising: receiving an instance of feedback about a song, from a user, during playing of the song in a virtual environment; determining a first situational context that corresponds to a first situation of an avatar of the user in the virtual environment at a time of receipt of the instance of feedback; populating a data structure with an entry for the instance of feedback, wherein the entry comprises, for the instance: (i) information identifying the song, and (ii) information corresponding to the first situational context; and determining a second situational context that corresponds to a second situation of the avatar of the user in the virtual environment; and generating a playlist specific to the user in the virtual environment based on the instance of feedback responsive to a determination that the second situational context corresponds to the first situational context. 17. The system of claim 11 , wherein generating a playlist specific to the user in the virtual environment is further based on stored musical preferences of the user. | 0.803318 |
9,460,356 | 1 | 6 | 1. An apparatus comprising: at least one processor; a memory coupled to the at least one processor; a document processing system residing in the memory and executed by the at least one processor, the document processing system comprising: a quality assurance mechanism that receives from a scanner a scanned unique identifier on a physical document, and in response: verifies a scanned document corresponding to the unique identifier corresponds to a corresponding stored document in a document management system, allows a user to visually verify image quality of the scanned document by: verifying a page count of the scanned document corresponds to a page count of the physical document; verifying each page of the scanned document is in a correct orientation; and verifying each page of the scanned document is complete; and allows the user to initiate any needed corrective action when the page count is not verified, when the correct orientation of each page of the scanned document is not verified, and when completeness of the scanned document is not verified. | 1. An apparatus comprising: at least one processor; a memory coupled to the at least one processor; a document processing system residing in the memory and executed by the at least one processor, the document processing system comprising: a quality assurance mechanism that receives from a scanner a scanned unique identifier on a physical document, and in response: verifies a scanned document corresponding to the unique identifier corresponds to a corresponding stored document in a document management system, allows a user to visually verify image quality of the scanned document by: verifying a page count of the scanned document corresponds to a page count of the physical document; verifying each page of the scanned document is in a correct orientation; and verifying each page of the scanned document is complete; and allows the user to initiate any needed corrective action when the page count is not verified, when the correct orientation of each page of the scanned document is not verified, and when completeness of the scanned document is not verified. 6. The apparatus of claim 1 wherein the quality assurance mechanism further allows the user to verify building of an audit trail for the scanned document. | 0.765244 |
9,152,713 | 18 | 19 | 18. The computer-readable medium of claim 16 , where the one or more instructions that cause the one or more processors to generate the similarity vector for the text segment include: one or more instructions that cause the one or more processors to: assign a weight to each term of the one or more particular terms in the text segment; and generate the similarity vector for the text segment based on the weight assigned to each term of the one or more particular terms in the text segment. | 18. The computer-readable medium of claim 16 , where the one or more instructions that cause the one or more processors to generate the similarity vector for the text segment include: one or more instructions that cause the one or more processors to: assign a weight to each term of the one or more particular terms in the text segment; and generate the similarity vector for the text segment based on the weight assigned to each term of the one or more particular terms in the text segment. 19. The computer-readable medium of claim 18 , where the one or more instructions that cause the one or more processors to assign the weight include: one or more instructions that cause the one or more processors to assign the weight based on the frequency, of each term of the one or more particular terms in the text segment, and a particular value that is based on whether the particular term is a noun. | 0.5 |
10,061,815 | 11 | 12 | 11. The system of claim 10 , wherein: the single variable comprises a 16-bit integer; and each relevance score is represented by an 8-bit integer. | 11. The system of claim 10 , wherein: the single variable comprises a 16-bit integer; and each relevance score is represented by an 8-bit integer. 12. The system of claim 11 , wherein the identification module stores the individual relevance score and the family relevance score in the single variable by: bit-shifting one relevance score eight bits to the left; and combining both relevance scores by performing an OR operation on the shifted relevance score and the remaining relevance score. | 0.5 |
7,506,324 | 1 | 11 | 1. A computer implemented method for data transformation for a standard data format, comprising: receiving an Extensible Stylesheet Language transformation specification having expressions containing XPath expressions, wherein the Extensible Stylesheet Language transformation specification is received by an Extensible Stylesheet Language transformation specification compiler; invoking an XPath compiler to tokenize and construct a parse tree of the XPath expressions contained in the Extensible Stylesheet Language transformation specification; returning the parse tree from the XPath compiler to the Extensible Stylesheet Language transformation specification compiler; generating a hierarchical transformation object model using schema fragments parsed from a source schema tree associated with the Extensible Stylesheet Language transformation specification, wherein the hierarchical transformation object model provides an object model representation of the XPath expressions contained in the Extensible Stylesheet Language transformation specification; and converting the Extensible Stylesheet Language transformation specification into an application specific transformation document using the hierarchical transformation object model, wherein the application specific transformation document enables execution of the Extensible Stylesheet Language transformation specification within an application specific runtime environment. | 1. A computer implemented method for data transformation for a standard data format, comprising: receiving an Extensible Stylesheet Language transformation specification having expressions containing XPath expressions, wherein the Extensible Stylesheet Language transformation specification is received by an Extensible Stylesheet Language transformation specification compiler; invoking an XPath compiler to tokenize and construct a parse tree of the XPath expressions contained in the Extensible Stylesheet Language transformation specification; returning the parse tree from the XPath compiler to the Extensible Stylesheet Language transformation specification compiler; generating a hierarchical transformation object model using schema fragments parsed from a source schema tree associated with the Extensible Stylesheet Language transformation specification, wherein the hierarchical transformation object model provides an object model representation of the XPath expressions contained in the Extensible Stylesheet Language transformation specification; and converting the Extensible Stylesheet Language transformation specification into an application specific transformation document using the hierarchical transformation object model, wherein the application specific transformation document enables execution of the Extensible Stylesheet Language transformation specification within an application specific runtime environment. 11. A method as recited in claim 1 , wherein the Extensible Stylesheet Language transformation specification includes a pointer used to transform the transformation specification into the application-specific document. | 0.555102 |
10,157,609 | 14 | 15 | 14. A computer-readable storage device with instructions stored thereon that when executed by one or more processing units, cause the one or more processing units to perform a method for speech recognition with local and remote feedback loops, the method comprising: collecting user data including audio and textual data, wherein the textual data is from user generated documents; receiving directed feedback from the user in response to recognized speech, the feedback comprising at least one of audio or textual data; aggregating the collected user data and the directed feedback; filtering the aggregated data at different levels for the local and the remote feedback loops to protect private data; storing the data filtered at the local feedback level to customize current language and acoustic models; providing the data filtered at the remote feedback level to a system developer to enable the system developer to update speech recognition generic language and acoustic models; receiving speech inputs; and recognizing, by a speech recognition system, the speech inputs based at least in part on the customized current language and acoustic models and the updated generic language and acoustic models. | 14. A computer-readable storage device with instructions stored thereon that when executed by one or more processing units, cause the one or more processing units to perform a method for speech recognition with local and remote feedback loops, the method comprising: collecting user data including audio and textual data, wherein the textual data is from user generated documents; receiving directed feedback from the user in response to recognized speech, the feedback comprising at least one of audio or textual data; aggregating the collected user data and the directed feedback; filtering the aggregated data at different levels for the local and the remote feedback loops to protect private data; storing the data filtered at the local feedback level to customize current language and acoustic models; providing the data filtered at the remote feedback level to a system developer to enable the system developer to update speech recognition generic language and acoustic models; receiving speech inputs; and recognizing, by a speech recognition system, the speech inputs based at least in part on the customized current language and acoustic models and the updated generic language and acoustic models. 15. The computer-readable storage device of claim 14 , wherein the user data is collected through at least one of: harvesting the textual data from at least one of: emails, word processing documents, or spreadsheets associated with the user employing trigrams; or receiving a user spoken text passage. | 0.5 |
9,754,046 | 15 | 18 | 15. A system comprising: one or more processors; and a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, performs a method to generate a webpage using one or more terms in a hierarchical taxonomy of a content management system, the method comprising: accessing a term set having a hierarchical structure, wherein the term set comprises a first and second term; generating a first friendly uniform resource locator for the webpage using the first term, wherein the first term and the first friendly uniform resource locator are associated such that a change to the first term is automatically applied to the first friendly uniform resource locator, and wherein the first friendly uniform resource locator is mapped to a first physical uniform resource locator; generating a second friendly uniform resource locator for the webpage using the second term, wherein the second term and the second friendly uniform resource locator are associated such that a change to the second term is automatically applied to the second friendly uniform resource locator, and wherein the second friendly uniform resource locator is mapped to the first physical uniform resource locator; using the first physical uniform resource locator to generate a second physical uniform resource locator comprising a first set of term context parameters, the first set of term context parameters comprising a first set of term identifiers associated with the first term, wherein the first set of term identifiers are appended to the second physical uniform resource locator; and using the first physical uniform resource locator to generate a third physical uniform resource locator comprising a second set of term context parameters, the second set of term context parameters comprising a second set of term identifiers associated with the second term, wherein the second set of term identifiers are appended to the third physical uniform resource locator. | 15. A system comprising: one or more processors; and a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, performs a method to generate a webpage using one or more terms in a hierarchical taxonomy of a content management system, the method comprising: accessing a term set having a hierarchical structure, wherein the term set comprises a first and second term; generating a first friendly uniform resource locator for the webpage using the first term, wherein the first term and the first friendly uniform resource locator are associated such that a change to the first term is automatically applied to the first friendly uniform resource locator, and wherein the first friendly uniform resource locator is mapped to a first physical uniform resource locator; generating a second friendly uniform resource locator for the webpage using the second term, wherein the second term and the second friendly uniform resource locator are associated such that a change to the second term is automatically applied to the second friendly uniform resource locator, and wherein the second friendly uniform resource locator is mapped to the first physical uniform resource locator; using the first physical uniform resource locator to generate a second physical uniform resource locator comprising a first set of term context parameters, the first set of term context parameters comprising a first set of term identifiers associated with the first term, wherein the first set of term identifiers are appended to the second physical uniform resource locator; and using the first physical uniform resource locator to generate a third physical uniform resource locator comprising a second set of term context parameters, the second set of term context parameters comprising a second set of term identifiers associated with the second term, wherein the second set of term identifiers are appended to the third physical uniform resource locator. 18. The system of claim 15 , wherein the first friendly uniform resource locator is generated by appending one or more terms in the term set to each other in a hierarchical manner corresponding to the hierarchical structure of the term set. | 0.5 |
9,858,385 | 1 | 2 | 1. A system for identifying errors in medical data, the system comprising: a processor; a memory containing one or more modules, wherein the one or more modules, when executed, cause the processor to: receive medical data comprising a report and an image; analyze the report using natural language processing (NLP) to identify a condition and a criterion, wherein the condition is a medical condition, and wherein the criterion includes diagnostic information corresponding to the condition; generate an image analysis by analyzing the image using an image processing model; and determine whether the report has a potential problem by comparing the criterion to the image analysis. | 1. A system for identifying errors in medical data, the system comprising: a processor; a memory containing one or more modules, wherein the one or more modules, when executed, cause the processor to: receive medical data comprising a report and an image; analyze the report using natural language processing (NLP) to identify a condition and a criterion, wherein the condition is a medical condition, and wherein the criterion includes diagnostic information corresponding to the condition; generate an image analysis by analyzing the image using an image processing model; and determine whether the report has a potential problem by comparing the criterion to the image analysis. 2. The system of claim 1 , wherein there are a plurality of image processing models, each image processing model of the plurality of image processing models corresponding to a group of medical conditions, and wherein the image processing model used to generate the image analysis is selected from the plurality of image processing models based on the condition. | 0.5 |
8,972,872 | 3 | 4 | 3. The apparatus according to claim 1 , wherein the association of the selected UI object with the selected UI event to the selected UI display screen comprises: associating metadata with a UI object, presenting to the task composer selectable UI objects based upon the metadata, upon selection of one of the UI objects, presenting to the task composer the list of selectable UI display screens in which the selected UI object appears, upon selection of one of the UI display screens presenting to the task composer selectable UI events for the selected UI object in the selected UI display screen, and upon selection of one of the UI events, presenting to the task composer selectable tasks for associating with the selected UI event, based upon inputs and/or outputs of tasks and inputs and/or outputs of the selected UI event. | 3. The apparatus according to claim 1 , wherein the association of the selected UI object with the selected UI event to the selected UI display screen comprises: associating metadata with a UI object, presenting to the task composer selectable UI objects based upon the metadata, upon selection of one of the UI objects, presenting to the task composer the list of selectable UI display screens in which the selected UI object appears, upon selection of one of the UI display screens presenting to the task composer selectable UI events for the selected UI object in the selected UI display screen, and upon selection of one of the UI events, presenting to the task composer selectable tasks for associating with the selected UI event, based upon inputs and/or outputs of tasks and inputs and/or outputs of the selected UI event. 4. The apparatus according to claim 3 , wherein the UI objects, the UI display screens and the UI events are determined according to queries, output of queries or both specifying the UI objects of the task. | 0.5 |
8,938,757 | 3 | 4 | 3. The method of claim 1 , wherein at least one button comprises a graphically displayed television program listing. | 3. The method of claim 1 , wherein at least one button comprises a graphically displayed television program listing. 4. The method of claim 3 , wherein the title, font, or backdrop of the graphically displayed television program listing is substantially similar to a trademark representative of the program listing. | 0.5 |
5,438,180 | 42 | 43 | 42. The cooking oven of claim 16 wherein said function indicia is a grammatical verb and said modifying indicia are grammatical prepositions. | 42. The cooking oven of claim 16 wherein said function indicia is a grammatical verb and said modifying indicia are grammatical prepositions. 43. The cooking oven of claim 42 wherein said parameter indicia are grammatical objects of said prepositions. | 0.5 |
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