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8,996,406 | 1 | 13 |
1. A system comprising: memory; one or more processors; and a segmentation component stored on the memory and executable by the one or more processors, the segmentation component comprising: a configuration element that: displays a plurality of search types, displays, for a given search type of the plurality of search types, one or more representations of search engines to enable selection of a respective search engine from among a plurality of search engines, and receives one or more user selections associating respective search engines of the plurality of search engines with respective search types of the plurality of search types; and a routing element that: receives a search query, compares the search query to a set of search terms to determine a search type for the search query from among the plurality of search types, and determines, based at least partly on the user selections and the search type of the search query, a search engine from among the plurality of search engines.
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1. A system comprising: memory; one or more processors; and a segmentation component stored on the memory and executable by the one or more processors, the segmentation component comprising: a configuration element that: displays a plurality of search types, displays, for a given search type of the plurality of search types, one or more representations of search engines to enable selection of a respective search engine from among a plurality of search engines, and receives one or more user selections associating respective search engines of the plurality of search engines with respective search types of the plurality of search types; and a routing element that: receives a search query, compares the search query to a set of search terms to determine a search type for the search query from among the plurality of search types, and determines, based at least partly on the user selections and the search type of the search query, a search engine from among the plurality of search engines. 13. The system of claim 1 , wherein the segmentation component is a component of an operating system.
| 0.891863 |
8,983,955 | 1 | 22 |
1. A computer readable medium for managing electronic information, comprising: a plurality of predefined portions of text-based data with at least one of said plurality of predefined portions of text-based data being stored; at least one modified predefined portion of text-based data, said at least one modified predefined portion of text-based data being created based at least in part on modifications to at least one of said plurality of predefined portions of text-based data; and said at least one modified predefined portion of text-based data being stored; a plurality of links comprising at least one of code or a markup language, at least one of said plurality of predefined portions of said text-based data and said at least one modified predefined portion of text-based data being associated with at least one of said plurality of links; and a plurality of attributes for organizing at least one of said plurality of predefined portions of text-based data and said at least one modified predefined portion of text-based data, at least one of said plurality of attributes defining a point in a multidimensional space.
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1. A computer readable medium for managing electronic information, comprising: a plurality of predefined portions of text-based data with at least one of said plurality of predefined portions of text-based data being stored; at least one modified predefined portion of text-based data, said at least one modified predefined portion of text-based data being created based at least in part on modifications to at least one of said plurality of predefined portions of text-based data; and said at least one modified predefined portion of text-based data being stored; a plurality of links comprising at least one of code or a markup language, at least one of said plurality of predefined portions of said text-based data and said at least one modified predefined portion of text-based data being associated with at least one of said plurality of links; and a plurality of attributes for organizing at least one of said plurality of predefined portions of text-based data and said at least one modified predefined portion of text-based data, at least one of said plurality of attributes defining a point in a multidimensional space. 22. The recording medium according to claim 1 , wherein said electronic information comprises a document and wherein said document comprises more than one of said predefined portions.
| 0.838053 |
8,290,926 | 16 | 17 |
16. The method of claim 4 , the instructions configured to, upon receiving at least one data item associated with a topic of a topical data feed after presenting the topical data feed to a user, update the topical data feed presented to the user.
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16. The method of claim 4 , the instructions configured to, upon receiving at least one data item associated with a topic of a topical data feed after presenting the topical data feed to a user, update the topical data feed presented to the user. 17. The method of claim 16 : a first data item of the topical data feed having a responsive relationship with a second data item of the topical data feed; and presenting the topical narrative comprising: presenting the first data item in the data feed with a responsive indicator associated with the second data item.
| 0.5 |
8,635,062 | 11 | 17 |
11. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, determine a section of a plurality of sections included in a network resource, in response to receiving first data that indicates the network resource; determine a section context token that indicates a probability in the section of a topic from a context vocabulary; cause, at least in part, actions that result in storing second data that indicates the section in association with the section context token; receive a message that comprises data that indicates a context for a particular consumer; determine whether the context for the particular consumer is close to the section context token; and determine to transmit via the network data identifying the section of the network resource, if the context for the particular consumer is determined to be close to the section context token and if content of at least one of the section and the network resource is determined to be close to preference of the particular consumer, wherein the context vocabulary includes concepts describing temporal, spatial, environmental or activity circumstances of consumers.
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11. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following, determine a section of a plurality of sections included in a network resource, in response to receiving first data that indicates the network resource; determine a section context token that indicates a probability in the section of a topic from a context vocabulary; cause, at least in part, actions that result in storing second data that indicates the section in association with the section context token; receive a message that comprises data that indicates a context for a particular consumer; determine whether the context for the particular consumer is close to the section context token; and determine to transmit via the network data identifying the section of the network resource, if the context for the particular consumer is determined to be close to the section context token and if content of at least one of the section and the network resource is determined to be close to preference of the particular consumer, wherein the context vocabulary includes concepts describing temporal, spatial, environmental or activity circumstances of consumers. 17. An apparatus of claim 11 , wherein the apparatus is further caused: process and/or facilitate a processing of one or more documents describing a plurality of consumer contexts to cause, at least in part, generation or modification of the context vocabulary.
| 0.765709 |
9,355,130 | 24 | 25 |
24. The system of claim 23 , wherein the processor further executes instructions to: modify the first search instruction with a second search instruction; and augment the query with the edited first search instruction.
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24. The system of claim 23 , wherein the processor further executes instructions to: modify the first search instruction with a second search instruction; and augment the query with the edited first search instruction. 25. The system of claim 24 , wherein the second search instruction is part of the query.
| 0.5 |
7,574,362 | 1 | 13 |
1. A method for sentence planning in a task classification system that interacts with a user, comprising: recognizing symbols in a user's single input communication to a task classification system; determining whether the user's input communication can be understood, wherein if the user's communication can be understood, understanding data is generated; generating a plurality of communicative goals based on the recognized symbols and understanding data, the generated plurality of communicative goals being related to information needed to be obtained from the user; in response to information from the user's single input communication: generating a plurality of sentence plans based on the plurality of generated communicative goals, each sentence plan in the plurality of sentence plans being a realization comprising elementary speech acts each corresponding to a respective communicative goal and combined into at least one complete sentence that accomplishes the plurality of communicative goals, and wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the user's single input communication; independent of the user, ranking the plurality of generated sentence plans; and outputting at least one of the ranked sentence plans to the user as a response to the user's single input communication such that one dialog turn occurs starting with the user's single input communication and ending with the outputted sentence plan.
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1. A method for sentence planning in a task classification system that interacts with a user, comprising: recognizing symbols in a user's single input communication to a task classification system; determining whether the user's input communication can be understood, wherein if the user's communication can be understood, understanding data is generated; generating a plurality of communicative goals based on the recognized symbols and understanding data, the generated plurality of communicative goals being related to information needed to be obtained from the user; in response to information from the user's single input communication: generating a plurality of sentence plans based on the plurality of generated communicative goals, each sentence plan in the plurality of sentence plans being a realization comprising elementary speech acts each corresponding to a respective communicative goal and combined into at least one complete sentence that accomplishes the plurality of communicative goals, and wherein each sentence plan of the plurality of sentence plans is a viable and potentially usable prompt in response to the user's single input communication; independent of the user, ranking the plurality of generated sentence plans; and outputting at least one of the ranked sentence plans to the user as a response to the user's single input communication such that one dialog turn occurs starting with the user's single input communication and ending with the outputted sentence plan. 13. The method of claim 1 , wherein the method is used in one of a customer care system, a reservation system, parts ordering system, navigation system, information gathering system, and information retrieval system.
| 0.668712 |
7,565,630 | 1 | 2 |
1. A computer implemented method comprising: receiving a request to perform a search at a general search engine site, the request comprising a query received from a user through a search query interface presented on a third party website; accessing a search customization profile defined for the third party website by a provider of the third party website, wherein the search customization profile includes a topic identifier; mapping the topic identifier to a specific topic to be used for customizing the search; retrieving a set of documents responsive to the query, each document in the set of documents having an information retrieval score; adjusting the information retrieval score of each of the documents that are associated with the specific topic by a weight value associated with the specific topic; ranking the set of documents according to the respective information retrieval scores after adjusting the information retrieval score of each of the documents that are associated with the specific topic; and returning to the third party website, in response to the request, search results identifying at least a highest ranking portion of the set of documents and the rank order of the documents in the highest ranking portion.
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1. A computer implemented method comprising: receiving a request to perform a search at a general search engine site, the request comprising a query received from a user through a search query interface presented on a third party website; accessing a search customization profile defined for the third party website by a provider of the third party website, wherein the search customization profile includes a topic identifier; mapping the topic identifier to a specific topic to be used for customizing the search; retrieving a set of documents responsive to the query, each document in the set of documents having an information retrieval score; adjusting the information retrieval score of each of the documents that are associated with the specific topic by a weight value associated with the specific topic; ranking the set of documents according to the respective information retrieval scores after adjusting the information retrieval score of each of the documents that are associated with the specific topic; and returning to the third party website, in response to the request, search results identifying at least a highest ranking portion of the set of documents and the rank order of the documents in the highest ranking portion. 2. The method of claim 1 , wherein accessing the search customization profile defined for the third party website further comprises: receiving the search customization profile in conjunction with the query.
| 0.769058 |
9,288,321 | 19 | 20 |
19. A non-transitory computer readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising: determining interactive voice response (IVR) flow information from each webpage element of a plurality of webpage elements in a webpage, wherein the IVR flow information comprises a sequence of audio outputs for presentation of the plurality of webpage elements to a user using a device; transmitting a software component library to the device for processing on a user initiation to present an IVR interface to the user using the IVR flow information, wherein the user utilizes the IVR interface to enter at least one input to at least one of the plurality of webpage elements in response to the sequence of the audio outputs; and receiving the at least one input from the user.
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19. A non-transitory computer readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising: determining interactive voice response (IVR) flow information from each webpage element of a plurality of webpage elements in a webpage, wherein the IVR flow information comprises a sequence of audio outputs for presentation of the plurality of webpage elements to a user using a device; transmitting a software component library to the device for processing on a user initiation to present an IVR interface to the user using the IVR flow information, wherein the user utilizes the IVR interface to enter at least one input to at least one of the plurality of webpage elements in response to the sequence of the audio outputs; and receiving the at least one input from the user. 20. The non-transitory computer readable medium of claim 19 , wherein the IVR flow information comprises one of custom HTML tags corresponding to the plurality of webpage elements and a separate file or database with links to the plurality of webpage elements, and wherein the software component library comprises a JavaScript library.
| 0.5 |
8,028,229 | 7 | 10 |
7. A document processing system comprising: a system memory; a processing unit that executes instructions stored on the system memory to create a document processing application configured to merge together at least two documents to generate a third document; a first document configured to be processed by the document processing application, the first document storing content and metadata, the content of the first document including at least one data unit, the metadata of the first document including a unit identifier and an edit identifier associated with each data unit, the unit identifier of each data unit being generated when the data unit is created, the edit identifier of each data unit being generated when a modification to the data unit is saved; a second document configured to be processed by the document processing application, the second document including at least one data unit, wherein the document processing application is configured to: compare the unit identifiers of the first document to unit identifiers of the second document to determine whether each of the unit identifiers is a matching unit identifier or a non-matching unit identifier, wherein each of the matching unit identifiers indicates corresponding data units of the first and second documents, and wherein each of the non-matching unit identifiers indicates a data unit of one of the first and second documents that does not correspond with any data unit of the other of the first and second documents; compare edit identifiers of the data units associated with the matching unit identifiers to ascertain matching edit identifiers, each of the matching edit identifiers indicating the data unit of one of the first and second documents matches the corresponding data unit of the other of the first and second documents; insert directly into the third document data units of the first and second document that are associated with non-matching unit identifiers; insert directly into the third document data units of the first and second documents that are associated with matching unit identifiers and matching edit identifiers; and merge into the third document data units of the first and second documents that are associated with matching unit identifiers and non-matching edit identifiers.
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7. A document processing system comprising: a system memory; a processing unit that executes instructions stored on the system memory to create a document processing application configured to merge together at least two documents to generate a third document; a first document configured to be processed by the document processing application, the first document storing content and metadata, the content of the first document including at least one data unit, the metadata of the first document including a unit identifier and an edit identifier associated with each data unit, the unit identifier of each data unit being generated when the data unit is created, the edit identifier of each data unit being generated when a modification to the data unit is saved; a second document configured to be processed by the document processing application, the second document including at least one data unit, wherein the document processing application is configured to: compare the unit identifiers of the first document to unit identifiers of the second document to determine whether each of the unit identifiers is a matching unit identifier or a non-matching unit identifier, wherein each of the matching unit identifiers indicates corresponding data units of the first and second documents, and wherein each of the non-matching unit identifiers indicates a data unit of one of the first and second documents that does not correspond with any data unit of the other of the first and second documents; compare edit identifiers of the data units associated with the matching unit identifiers to ascertain matching edit identifiers, each of the matching edit identifiers indicating the data unit of one of the first and second documents matches the corresponding data unit of the other of the first and second documents; insert directly into the third document data units of the first and second document that are associated with non-matching unit identifiers; insert directly into the third document data units of the first and second documents that are associated with matching unit identifiers and matching edit identifiers; and merge into the third document data units of the first and second documents that are associated with matching unit identifiers and non-matching edit identifiers. 10. The document processing system of claim 7 , further comprising: a metadata file associated with the second document and stored separately from the second document, the metadata file including metadata pertaining to the content of the second document, the metadata of the metadata file including a unit identifier indicating to which data unit the metadata pertains.
| 0.5 |
9,170,826 | 14 | 15 |
14. The computer-program product according to claim 9 , wherein the operations further comprise accessing an index containing a location where the first textual expression appears in the application.
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14. The computer-program product according to claim 9 , wherein the operations further comprise accessing an index containing a location where the first textual expression appears in the application. 15. The computer-program product according to claim 14 , wherein the providing further comprises: placing the second textual expression in the location based on the accessed index.
| 0.6875 |
8,954,368 | 1 | 3 |
1. A computer-implemented method comprising: receiving data representing a paralinguistic indicator associated with a gaming platform, wherein the paralinguistic indicator is represented using a first data format associated with the gaming platform, and wherein the data representing the paralinguistic indicator comprises markup language data; translating the paralinguistic indicator to a second data format which is different from the first data format, wherein the second data format is associated with a real time messaging platform; and sending the translated paralinguistic indicator to the real time messaging platform, wherein the gaming platform is a virtual world platform and the real time messaging platform is an instant messaging platform.
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1. A computer-implemented method comprising: receiving data representing a paralinguistic indicator associated with a gaming platform, wherein the paralinguistic indicator is represented using a first data format associated with the gaming platform, and wherein the data representing the paralinguistic indicator comprises markup language data; translating the paralinguistic indicator to a second data format which is different from the first data format, wherein the second data format is associated with a real time messaging platform; and sending the translated paralinguistic indicator to the real time messaging platform, wherein the gaming platform is a virtual world platform and the real time messaging platform is an instant messaging platform. 3. The computer-implemented method of claim 1 , wherein the markup language data comprises one or more characteristics associated with an avatar associated with the gaming platform.
| 0.592342 |
8,782,067 | 8 | 9 |
8. The searching device according to claim 7 , wherein, the document group is specified at the document group specification step in a predetermined order determined to the plurality of document groups.
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8. The searching device according to claim 7 , wherein, the document group is specified at the document group specification step in a predetermined order determined to the plurality of document groups. 9. The searching device according to claim 8 , wherein, the document includes a headword and an explanatory text which explains the headword; and, the preference determination step determines the output preference of the document based on a difference between a length of the headword and a length of the search string.
| 0.5 |
8,781,971 | 1 | 3 |
1. A method for controlling a manner in which a software application accesses an application programming interface (API), wherein the software application executes on a computing device and the API is available on the computing device, and the method comprises: receiving, from the software application executing on the computing device, a request to access the API; extracting, from the API, first license information that identifies whether all software applications executing on the computing device are permitted to access the API; identifying, based on the first license information, that not all software applications executing on the computing device are permitted to access the API; and in response to identifying: extracting, from the software application, second license information that identifies whether the software application is permitted to access the API, determining, based on the second license information, that the software application is permitted to access the API, and in response to determining: granting the software application access to the API.
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1. A method for controlling a manner in which a software application accesses an application programming interface (API), wherein the software application executes on a computing device and the API is available on the computing device, and the method comprises: receiving, from the software application executing on the computing device, a request to access the API; extracting, from the API, first license information that identifies whether all software applications executing on the computing device are permitted to access the API; identifying, based on the first license information, that not all software applications executing on the computing device are permitted to access the API; and in response to identifying: extracting, from the software application, second license information that identifies whether the software application is permitted to access the API, determining, based on the second license information, that the software application is permitted to access the API, and in response to determining: granting the software application access to the API. 3. The method of claim 1 , wherein determining that the software application is permitted to access the API comprises utilizing a function, a key, and a text string associated with the software application.
| 0.599222 |
8,484,185 | 8 | 15 |
8. A context server for a communication network, said context server configured to provide a context-based service to a terminal of said communication network, comprising: a query processor configured to: a) receive a query from a service application capable of implementing said context based service, said query indicating that said context server should perform an action when a query condition is fulfilled, said query condition referring to one or more attributes of derived context information indicative of a context of said terminal; b) generate a query evaluation trigger indicating that said query condition should be evaluated when said derived context information is updated; c) identify raw context information allowing derivation of said derived context information; and d) generate a calculation trigger indicating that said derived context information should be calculated when an update of said part of said raw context information is received from said terminal; and a trigger processor configured to: e) receive from said terminal an update of said part of said raw context information and, according to said calculation trigger, calculate a new value of said derived context information according to said update; and f) according to said query evaluation trigger, evaluate said query condition by using said new value and, if said query condition is fulfilled, performing said action.
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8. A context server for a communication network, said context server configured to provide a context-based service to a terminal of said communication network, comprising: a query processor configured to: a) receive a query from a service application capable of implementing said context based service, said query indicating that said context server should perform an action when a query condition is fulfilled, said query condition referring to one or more attributes of derived context information indicative of a context of said terminal; b) generate a query evaluation trigger indicating that said query condition should be evaluated when said derived context information is updated; c) identify raw context information allowing derivation of said derived context information; and d) generate a calculation trigger indicating that said derived context information should be calculated when an update of said part of said raw context information is received from said terminal; and a trigger processor configured to: e) receive from said terminal an update of said part of said raw context information and, according to said calculation trigger, calculate a new value of said derived context information according to said update; and f) according to said query evaluation trigger, evaluate said query condition by using said new value and, if said query condition is fulfilled, performing said action. 15. A communication system comprising a communication network and a context server according to claim 8 , cooperating with said communication network, said context server configured to provide a context-based service to a terminal of said communication network.
| 0.602134 |
9,230,025 | 1 | 19 |
1. A method for searching information, comprising: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data is associated with a respective one of the plurality of categories; determining, using one or more computer processors, the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; selecting, using one or more computer processors, a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; in response to selecting the category based at least in part on the plurality of confidence degrees, searching in the selected category for a search result that corresponds to the current query data; and returning the search result to the client.
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1. A method for searching information, comprising: receiving current query data from a client; extracting generic attribute features of the current query data, wherein the generic attribute features are used for calculating a plurality of confidence degrees of the current query data that correspond to a plurality of categories, each of the confidence degrees indicating a degree of confidence that the current query data is associated with a respective one of the plurality of categories; determining, using one or more computer processors, the plurality of confidence degrees of the current query data based at least in part on the generic attribute features; selecting, using one or more computer processors, a category based at least in part on the plurality of confidence degrees, the selected category being one of the plurality of categories and having a confidence degree higher than a confidence degree of another category; in response to selecting the category based at least in part on the plurality of confidence degrees, searching in the selected category for a search result that corresponds to the current query data; and returning the search result to the client. 19. The method of claim 1 , wherein the one or more categories relate to a respective one or more industry categories in which a product associated with a generic attribute feature belongs.
| 0.830645 |
7,949,728 | 2 | 5 |
2. The method of claim 1 , further comprising: accessing, using the computing device, a fourth database comprising information representative of at least one royalty statement, each royalty statement associated with at least one license agreement; accessing, using the computing device, a fifth database comprising information representative of at least one payment, each payment associated with at least one license agreement; and enabling processing of, using the computing device and at least one of said plurality of user-defined indexes, in a manner specified by a received command, information representative of at least one of: said at least one IP asset; said at least one IP asset package; said at least one license agreement; said at least one royalty statement; or said at least one payment.
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2. The method of claim 1 , further comprising: accessing, using the computing device, a fourth database comprising information representative of at least one royalty statement, each royalty statement associated with at least one license agreement; accessing, using the computing device, a fifth database comprising information representative of at least one payment, each payment associated with at least one license agreement; and enabling processing of, using the computing device and at least one of said plurality of user-defined indexes, in a manner specified by a received command, information representative of at least one of: said at least one IP asset; said at least one IP asset package; said at least one license agreement; said at least one royalty statement; or said at least one payment. 5. The method of claim 2 , wherein said at least one payment is allocated to one or more terms of said at least one license agreement.
| 0.836983 |
7,584,421 | 20 | 21 |
20. A method implemented by a client in a broadcasting system for managing metadata for multimedia program content scheduled for broadcast in the broadcasting system, the method comprising: receiving in the client from a provider in the broadcasting system a first version of an electronic document containing metadata related to the scheduled multimedia program content, wherein the electronic document has a hierarchical structure based on a prescribed syntax and the hierarchical structure includes an upper fragment located above a first version of a lower fragment, and wherein the first version of the lower fragment is identified by a version identifier; storing the first version of the lower fragment in a local data structure of the client, wherein the local data structure is based on the prescribed syntax and corresponds to the electronic document; requesting an update for the previously received lower fragment in the client; and in response to the request, receiving in the client an update document having a structure based on the prescribed syntax, the update document including the upper fragment and an invalid element, wherein the invalid element specifies the version identifier of the earlier version of the lower fragment.
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20. A method implemented by a client in a broadcasting system for managing metadata for multimedia program content scheduled for broadcast in the broadcasting system, the method comprising: receiving in the client from a provider in the broadcasting system a first version of an electronic document containing metadata related to the scheduled multimedia program content, wherein the electronic document has a hierarchical structure based on a prescribed syntax and the hierarchical structure includes an upper fragment located above a first version of a lower fragment, and wherein the first version of the lower fragment is identified by a version identifier; storing the first version of the lower fragment in a local data structure of the client, wherein the local data structure is based on the prescribed syntax and corresponds to the electronic document; requesting an update for the previously received lower fragment in the client; and in response to the request, receiving in the client an update document having a structure based on the prescribed syntax, the update document including the upper fragment and an invalid element, wherein the invalid element specifies the version identifier of the earlier version of the lower fragment. 21. The method of claim 20 comprising deleting the first version of the lower fragment in response to receiving the invalid element.
| 0.647059 |
10,127,444 | 6 | 7 |
6. The computer implemented method according to claim 1 , wherein reference document codifications are generated in accordance with a document codification template, the document codification template defining an order of document features and attributes of those features.
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6. The computer implemented method according to claim 1 , wherein reference document codifications are generated in accordance with a document codification template, the document codification template defining an order of document features and attributes of those features. 7. The computer implemented method according to claim 6 , wherein the document features defined by the codification template comprise the plurality of canonical features and a document-level feature.
| 0.5 |
8,862,587 | 1 | 6 |
1. A method for automatically generating a profile of a person, comprising: for each of a plurality of names, assuming a name characteristic that people with the name typically have, comprising: receiving, for a name of a person and from a plurality of third parties, information indicating a characteristic that people with the name of the person typically have; and calculating a confidence value associated with the characteristic as the percentage of the third parties that associated the characteristic with the name; storing the name characteristic in association with each of the plurality of names, wherein the name characteristic associated with each of the stored names is each associated with the calculated confidence value; receiving, at a computing device, a name of an individual person; determining, by a processor of the computing device, whether the received name of the individual person matches any of the plurality of stored names; and in response to determining that the received name matches a first of the stored names: identifying the name characteristic associated with the first stored name that matches the received name; determining a characteristic of the person based on the identified name characteristic; and returning the determined characteristic of the person.
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1. A method for automatically generating a profile of a person, comprising: for each of a plurality of names, assuming a name characteristic that people with the name typically have, comprising: receiving, for a name of a person and from a plurality of third parties, information indicating a characteristic that people with the name of the person typically have; and calculating a confidence value associated with the characteristic as the percentage of the third parties that associated the characteristic with the name; storing the name characteristic in association with each of the plurality of names, wherein the name characteristic associated with each of the stored names is each associated with the calculated confidence value; receiving, at a computing device, a name of an individual person; determining, by a processor of the computing device, whether the received name of the individual person matches any of the plurality of stored names; and in response to determining that the received name matches a first of the stored names: identifying the name characteristic associated with the first stored name that matches the received name; determining a characteristic of the person based on the identified name characteristic; and returning the determined characteristic of the person. 6. The method of claim 1 , wherein the determining a characteristic of the person includes detecting a pattern in the received name.
| 0.687204 |
9,244,909 | 14 | 16 |
14. A method for extracting ontological information from a body of text, said method implemented by at least one computer device including at least one processor and at least one memory device coupled to the at least one processor, said method comprising: converting, by the at least one computer device, one or more sentences in the body of text into parse tree format, thereby generating a set of parsed sentences in the at least one memory device; identifying a verb phrase; identifying a subset of parsed sentences from the set of parsed sentences based at least partially on the occurrence of the verb phrase within at least one parsed sentence of the set of parsed sentences; identifying a subset of noun phrases from the subset of parsed sentences based at least partially on grammatical relationship of each noun phrase of the subset of parsed sentences to the verb phrase; classifying a first noun phrase and a second noun phrase in the subset of noun phrases as one of an entity and a property, thereby defining one of a first entity and a first property; identifying a conceptual relationship between the first entity and the first property based at least in part on grammatical relationship of the first entity and the first property within a first sentence; and outputting the conceptual relationship as an identified relation between the first entity and the first property to a presentation interface for viewing.
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14. A method for extracting ontological information from a body of text, said method implemented by at least one computer device including at least one processor and at least one memory device coupled to the at least one processor, said method comprising: converting, by the at least one computer device, one or more sentences in the body of text into parse tree format, thereby generating a set of parsed sentences in the at least one memory device; identifying a verb phrase; identifying a subset of parsed sentences from the set of parsed sentences based at least partially on the occurrence of the verb phrase within at least one parsed sentence of the set of parsed sentences; identifying a subset of noun phrases from the subset of parsed sentences based at least partially on grammatical relationship of each noun phrase of the subset of parsed sentences to the verb phrase; classifying a first noun phrase and a second noun phrase in the subset of noun phrases as one of an entity and a property, thereby defining one of a first entity and a first property; identifying a conceptual relationship between the first entity and the first property based at least in part on grammatical relationship of the first entity and the first property within a first sentence; and outputting the conceptual relationship as an identified relation between the first entity and the first property to a presentation interface for viewing. 16. The method in accordance with claim 14 , further comprising aliasing one or more noun phrases of the subset of noun phrases comprising renaming like noun phrases with a single alias.
| 0.626506 |
9,305,085 | 1 | 12 |
1. A method of handling queries for an online discussion forum, said method comprising: receiving a query; automatically classifying the query as subjective or objective; thereupon calculating, for discussion threads of the query, at least one of: a subjectivity score and an objectivity score; said calculating comprising: applying a maximum entropy model; and incorporating, with respect to at least one discussion thread, at least one member taken from the group consisting of: a number of posts in a discussion thread; average number of words in posts, presence of a predetermined pattern among posts, a number of authors of posts within a discussion thread, average depth of each post, maximum depth of a post, and length of at least one reply; and determining a degree of relevance to the query of: the discussion threads, and at least one post in the at least one discussion thread; said determining of the degree of relevance of the query to the discussion threads comprising: iteratively determining a relevance score with respect to each post in a discussion thread and then accepting a maximum relevance score with respect to a post in a discussion thread; determining a penalty or reward regulizer with respect to choosing a predetermined number of posts for calculating a relevance score of a thread; and including at least one of: a subjectivity score of the thread and an objectivity score of the thread; and ranking the discussion threads based on said calculating and determining of a degree of relevance of the query to the discussion threads.
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1. A method of handling queries for an online discussion forum, said method comprising: receiving a query; automatically classifying the query as subjective or objective; thereupon calculating, for discussion threads of the query, at least one of: a subjectivity score and an objectivity score; said calculating comprising: applying a maximum entropy model; and incorporating, with respect to at least one discussion thread, at least one member taken from the group consisting of: a number of posts in a discussion thread; average number of words in posts, presence of a predetermined pattern among posts, a number of authors of posts within a discussion thread, average depth of each post, maximum depth of a post, and length of at least one reply; and determining a degree of relevance to the query of: the discussion threads, and at least one post in the at least one discussion thread; said determining of the degree of relevance of the query to the discussion threads comprising: iteratively determining a relevance score with respect to each post in a discussion thread and then accepting a maximum relevance score with respect to a post in a discussion thread; determining a penalty or reward regulizer with respect to choosing a predetermined number of posts for calculating a relevance score of a thread; and including at least one of: a subjectivity score of the thread and an objectivity score of the thread; and ranking the discussion threads based on said calculating and determining of a degree of relevance of the query to the discussion threads. 12. The method according to claim 1 , wherein said calculating comprises incorporating, with respect to at least one discussion thread, at least one member taken from the group consisting of: average number of words in posts, presence of a predetermined pattern among posts, a number of authors of posts within a discussion thread, average depth of each post, maximum depth of a post, and length of at least one reply.
| 0.5 |
8,612,234 | 1 | 6 |
1. A method comprising: receiving an input having a speech segment and a non-speech segment; establishing a first restriction of recognizing only speech states during the speech segment; establishing a second restriction of recognizing only non-speech states during the non-speech segment; generating, via a processor, a hypothesis lattice, wherein the hypothesis lattice allows any sequence of speech states and non-speech states; and generating a reference lattice, wherein the reference lattice is based on the hypothesis lattice and conforms to the first restriction and the second restriction.
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1. A method comprising: receiving an input having a speech segment and a non-speech segment; establishing a first restriction of recognizing only speech states during the speech segment; establishing a second restriction of recognizing only non-speech states during the non-speech segment; generating, via a processor, a hypothesis lattice, wherein the hypothesis lattice allows any sequence of speech states and non-speech states; and generating a reference lattice, wherein the reference lattice is based on the hypothesis lattice and conforms to the first restriction and the second restriction. 6. The method of claim 1 , wherein the reference lattice is redefined at each iteration of training
| 0.653846 |
8,650,644 | 17 | 18 |
17. A non-transitory computer-readable storage medium storing instructions, the instructions comprising: one or more instructions that, when executed by a processor, cause the processor to: receive compressed data, the compressed data including a sequence of references, and a particular reference, of the sequence of references, corresponding to a dictionary word used to obtain the compressed data, obtain dictionary words used to obtain the compressed data, the dictionary words including the dictionary word, identify one or more of the dictionary words corresponding to malicious content, identify the malicious content corresponding to the compressed data based on the one or more of the dictionary words being part of the dictionary words used to obtain the compressed data, and produce a notification based on the malicious content.
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17. A non-transitory computer-readable storage medium storing instructions, the instructions comprising: one or more instructions that, when executed by a processor, cause the processor to: receive compressed data, the compressed data including a sequence of references, and a particular reference, of the sequence of references, corresponding to a dictionary word used to obtain the compressed data, obtain dictionary words used to obtain the compressed data, the dictionary words including the dictionary word, identify one or more of the dictionary words corresponding to malicious content, identify the malicious content corresponding to the compressed data based on the one or more of the dictionary words being part of the dictionary words used to obtain the compressed data, and produce a notification based on the malicious content. 18. The non-transitory computer-readable storage medium of claim 17 , where the one or more instructions to identify the one or more of the dictionary words corresponding to the malicious content comprise: one or more instructions that, when executed by the processor, cause the processor to: execute a first suffix tree operation resulting in a full match scenario between a particular dictionary word, of the one or more of the dictionary words, and a suffix tree pattern, execute a second suffix tree operation resulting in a partial match scenario between the particular dictionary word and the suffix tree pattern, execute a first pattern matching operation resulting in a full match scenario between the particular dictionary word and a malicious content pattern, or execute a second pattern matching operation resulting in a partial match scenario between the particular dictionary word and the malicious content pattern.
| 0.67022 |
8,132,060 | 6 | 8 |
6. An apparatus comprising: a computer-readable storage device to store a library having a set of application programming interfaces to interface an application and a logical volume manager (LVM), wherein the set of application programming interfaces comprises a set of error reporting interfaces that are configured to report an error using a handle corresponding to an object and a plurality of error reporting handles; and a processing device to execute the application in operation with the LVM, and wherein the processing device is to: initialize a handle for a logical object; retrieve the logical object for the application using the handle; execute a function in the application to act on the logical object; determine if an error occurred resulting from executing the function; if there is an error, report the error using the handle and the plurality of error reporting handles, wherein one of the plurality of error reporting handles comprises an error code associated with the error, wherein another one of the plurality of error reporting handles comprises an error string in a natural language describing the error, and wherein another one of the plurality of error reporting handles comprises a section of programming code of the function associated with the error; and if there is no error, release the logical object from the handle and return the handle to the application.
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6. An apparatus comprising: a computer-readable storage device to store a library having a set of application programming interfaces to interface an application and a logical volume manager (LVM), wherein the set of application programming interfaces comprises a set of error reporting interfaces that are configured to report an error using a handle corresponding to an object and a plurality of error reporting handles; and a processing device to execute the application in operation with the LVM, and wherein the processing device is to: initialize a handle for a logical object; retrieve the logical object for the application using the handle; execute a function in the application to act on the logical object; determine if an error occurred resulting from executing the function; if there is an error, report the error using the handle and the plurality of error reporting handles, wherein one of the plurality of error reporting handles comprises an error code associated with the error, wherein another one of the plurality of error reporting handles comprises an error string in a natural language describing the error, and wherein another one of the plurality of error reporting handles comprises a section of programming code of the function associated with the error; and if there is no error, release the logical object from the handle and return the handle to the application. 8. The apparatus of claim 6 , wherein the processing device writes the error string, the piece of programming code associated with the error, and the error code associated with the error into a file.
| 0.588843 |
9,665,941 | 1 | 7 |
1. A method for object segmentation, the method comprising: receiving a digital image; performing, by a processor, initial segmentation on the digital image to generate a segmented digital image having an outline that separates a foreground area from a background area; receiving a refinement stroke in the initial segmentation to refine the initial segmentation; determining, by the processor, an intention of a user to correct the foreground area or the background area of the initial segmentation based on the received refinement stroke, including: determining whether a number of pixels of the refinement stroke that are in the foreground area is greater than a number of pixels of the refinement stroke that are in the background area, in response to a determination that the number of pixels of the refinement stroke that are in the foreground area is greater than the number of pixels of the refinement stroke that are in the background area, determining that the intention of the user is to add pixels that are classified as foreground into the background area, and in response to a determination that the number of pixels in the refinement stroke that are in the foreground area is less than the number of pixels in the refinement stroke that are in the background area, determining that the intention of the user is to add pixels that are classified as background into the foreground area; and refining, by the processor, the initial segmentation based on the determined intention.
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1. A method for object segmentation, the method comprising: receiving a digital image; performing, by a processor, initial segmentation on the digital image to generate a segmented digital image having an outline that separates a foreground area from a background area; receiving a refinement stroke in the initial segmentation to refine the initial segmentation; determining, by the processor, an intention of a user to correct the foreground area or the background area of the initial segmentation based on the received refinement stroke, including: determining whether a number of pixels of the refinement stroke that are in the foreground area is greater than a number of pixels of the refinement stroke that are in the background area, in response to a determination that the number of pixels of the refinement stroke that are in the foreground area is greater than the number of pixels of the refinement stroke that are in the background area, determining that the intention of the user is to add pixels that are classified as foreground into the background area, and in response to a determination that the number of pixels in the refinement stroke that are in the foreground area is less than the number of pixels in the refinement stroke that are in the background area, determining that the intention of the user is to add pixels that are classified as background into the foreground area; and refining, by the processor, the initial segmentation based on the determined intention. 7. The method of claim 1 , wherein determining the intention of the user to correct the foreground area or the background area further comprises: determining a confidence of the initial segmentation adjacent the refinement stroke.
| 0.584838 |
9,588,637 | 11 | 14 |
11. A system, comprising: at least one processor; and a memory storing instructions that when executed by the at least one processor cause the system to: communicate, to a remotely located client device, data associated with a user interface component of an application executing within a virtual machine hosted by the system; and instruct the remotely located client device to render, within a user interface associated with the remotely located client device and with a graphical appearance based on at least one user interface component of the user interface associated with the remotely located client device, a user interface component corresponding to the user interface component of the application executing within the virtual machine hosted by the system.
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11. A system, comprising: at least one processor; and a memory storing instructions that when executed by the at least one processor cause the system to: communicate, to a remotely located client device, data associated with a user interface component of an application executing within a virtual machine hosted by the system; and instruct the remotely located client device to render, within a user interface associated with the remotely located client device and with a graphical appearance based on at least one user interface component of the user interface associated with the remotely located client device, a user interface component corresponding to the user interface component of the application executing within the virtual machine hosted by the system. 14. The system of claim 11 , wherein the data comprises at least one of an appointment notification generated by the application executing within the virtual machine or a task notification generated by the application executing within the virtual machine, and wherein the instructions, when executed by the at least one processor, cause the system to instruct the remotely located client device to render a user interface component corresponding to the at least one of the appointment notification generated by the application executing within the virtual machine or the task notification generated by the application executing within the virtual machine.
| 0.525362 |
9,378,199 | 15 | 16 |
15. A non-transitory storage medium having stored thereon processor-executable software instructions configured to cause a processor to perform operations comprising: parsing a first serial language code having an embedded second serial language code until a segment of the second serial language code is encountered, the second serial language code being executable to generate additional first serial language code; storing parsing state information associated with the parsing of the first serial language code upon encountering the segment of the second serial language code in a memory; continuing to parse the first serial language code; executing the encountered segment of the second serial language code to generate the additional first serial language code, wherein the encountered segment of the second serial language code is executed concurrent with the continued parsing of the first serial language code; inserting the additional first serial language code at a point in the first serial language code identified by the stored parsing state information; determining whether the additional first serial language code generated from the execution of the encountered segment of the second serial language code is well formed; and re-initiating parsing of the first serial language code and the additional first serial language code from the point in the first serial language code identified by the stored parsing state information in response to determining that the additional first serial language code is not well formed.
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15. A non-transitory storage medium having stored thereon processor-executable software instructions configured to cause a processor to perform operations comprising: parsing a first serial language code having an embedded second serial language code until a segment of the second serial language code is encountered, the second serial language code being executable to generate additional first serial language code; storing parsing state information associated with the parsing of the first serial language code upon encountering the segment of the second serial language code in a memory; continuing to parse the first serial language code; executing the encountered segment of the second serial language code to generate the additional first serial language code, wherein the encountered segment of the second serial language code is executed concurrent with the continued parsing of the first serial language code; inserting the additional first serial language code at a point in the first serial language code identified by the stored parsing state information; determining whether the additional first serial language code generated from the execution of the encountered segment of the second serial language code is well formed; and re-initiating parsing of the first serial language code and the additional first serial language code from the point in the first serial language code identified by the stored parsing state information in response to determining that the additional first serial language code is not well formed. 16. The non-transitory storage medium of claim 15 , wherein the stored processor-executable software instructions are configured to cause a processor to perform operations further comprising: packaging the second serial language code and parsing state information in an execution state package upon encountering the segment of second serial language code; and storing the execution state package in the memory.
| 0.5 |
7,707,245 | 1 | 4 |
1. A process executing on a hardware device comprising a metasearch engine for metasearching on a distributed network activated by a request executed on a client device to request the metasearch engine to send a plurality of search queries comprising at least two keyword phrases to a plurality of server devices, each search query of the plurality of search queries comprising a keyword phrase of the at least two keyword phrases, each of the at least two keyword phrases comprising at least one keyword, comprising the steps of: (a) receiving, at the metasearch engine, the request from the client device for the metasearch engine to send the plurality of search queries comprising the at least two keyword phrases to the plurality of server devices; (b) sending, by the metasearch engine, the plurality of search queries comprising the at least two keyword phrases to the plurality of server devices; (c) receiving, at the metasearch engine, search results from the plurality of server devices in response to the plurality of search queries comprising the at least two keyword phrases sent to the plurality of server devices; (d) incorporating, by the metasearch engine, the received search results into at least two different order books corresponding to the at least two keyword phrases; (e) incorporating, by the metasearch engine, the at least two different order books of received search results into a response for communicating to the client device; (f) communicating, by the metasearch engine, the response from the metasearch engine to the client device.
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1. A process executing on a hardware device comprising a metasearch engine for metasearching on a distributed network activated by a request executed on a client device to request the metasearch engine to send a plurality of search queries comprising at least two keyword phrases to a plurality of server devices, each search query of the plurality of search queries comprising a keyword phrase of the at least two keyword phrases, each of the at least two keyword phrases comprising at least one keyword, comprising the steps of: (a) receiving, at the metasearch engine, the request from the client device for the metasearch engine to send the plurality of search queries comprising the at least two keyword phrases to the plurality of server devices; (b) sending, by the metasearch engine, the plurality of search queries comprising the at least two keyword phrases to the plurality of server devices; (c) receiving, at the metasearch engine, search results from the plurality of server devices in response to the plurality of search queries comprising the at least two keyword phrases sent to the plurality of server devices; (d) incorporating, by the metasearch engine, the received search results into at least two different order books corresponding to the at least two keyword phrases; (e) incorporating, by the metasearch engine, the at least two different order books of received search results into a response for communicating to the client device; (f) communicating, by the metasearch engine, the response from the metasearch engine to the client device. 4. The process executing on the hardware device of claim 1 , further comprising the steps of: (g) receiving, at the metasearch engine, another request from the client device executed on the client device for ordering at least one item; (h) processing and/or placing, by the metasearch engine, at least one order for the at least one item.
| 0.965629 |
7,496,500 | 20 | 21 |
20. The system of claim 16 , the reformulator produces a logical representation of the retrieved sentences.
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20. The system of claim 16 , the reformulator produces a logical representation of the retrieved sentences. 21. The system of claim 20 , the logical representation is utilized to generate a task description.
| 0.5 |
8,918,344 | 8 | 10 |
8. A method for generating a habituation-compensated library, comprising: receiving samples comprising temporal windows of token instances to which a user was exposed, wherein the temporal windows of token instances comprise a window comprising instantiations of first and second tokens that have overlapping instantiation periods; receiving data on previous instantiations of the first and second tokens, to which the user was exposed; receiving target values corresponding to the temporal windows of token instances; the target values, which are derived from values of a measurement channel of the user, represent affective responses of the user to the token instances from the temporal windows of token instances; wherein the affective responses are values comprising representations of values of the measurement channel of the user; training a machine learning-based user response model using data comprising: the samples, the data on previous instantiations of the first and second tokens, and the corresponding target values; and generating, based on the machine learning-based user response model, the habituation-compensated library that comprises for each token of the first and second tokens: a first expected affective response of the user to an instance of the token after a first number of previous exposures to instantiations of the token, and a second expected affective response of the user to an instance of the token after a second number, that is greater than the first number, of previous exposures to instantiations of the token; wherein for the first token, the first expected affective response is stronger than the second expected affective response, while for the second token, the first expected affective response is weaker than the second expected affective response.
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8. A method for generating a habituation-compensated library, comprising: receiving samples comprising temporal windows of token instances to which a user was exposed, wherein the temporal windows of token instances comprise a window comprising instantiations of first and second tokens that have overlapping instantiation periods; receiving data on previous instantiations of the first and second tokens, to which the user was exposed; receiving target values corresponding to the temporal windows of token instances; the target values, which are derived from values of a measurement channel of the user, represent affective responses of the user to the token instances from the temporal windows of token instances; wherein the affective responses are values comprising representations of values of the measurement channel of the user; training a machine learning-based user response model using data comprising: the samples, the data on previous instantiations of the first and second tokens, and the corresponding target values; and generating, based on the machine learning-based user response model, the habituation-compensated library that comprises for each token of the first and second tokens: a first expected affective response of the user to an instance of the token after a first number of previous exposures to instantiations of the token, and a second expected affective response of the user to an instance of the token after a second number, that is greater than the first number, of previous exposures to instantiations of the token; wherein for the first token, the first expected affective response is stronger than the second expected affective response, while for the second token, the first expected affective response is weaker than the second expected affective response. 10. The method of claim 8 , wherein the habituation-compensated library is generated by analyzing at least two different machine learning-based user response models that were trained on data collected over periods during which the user was in different situations; and the habituation-compensated library comprises expected affective responses of the user to same tokens in different situations.
| 0.5 |
8,185,425 | 1 | 9 |
1. A method of automatically locating one or more dates in a computer implemented calendar application, comprising: receiving at a computing device a date request that includes contextual date information representative of a specific date or a specific range of dates wherein the contextual date information does not have a predefined format, and wherein said contextual date information includes input by a user that is related to and describes, but does not specify, a particular date or range of dates that allows said computer implemented calendar application to locate said particular date or range of dates; automatically locating by the computing device the specific date or the specific range of dates based on the contextual date information of the date request; and automatically initiating by the computing device the displaying of the specific date or the specific range of dates.
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1. A method of automatically locating one or more dates in a computer implemented calendar application, comprising: receiving at a computing device a date request that includes contextual date information representative of a specific date or a specific range of dates wherein the contextual date information does not have a predefined format, and wherein said contextual date information includes input by a user that is related to and describes, but does not specify, a particular date or range of dates that allows said computer implemented calendar application to locate said particular date or range of dates; automatically locating by the computing device the specific date or the specific range of dates based on the contextual date information of the date request; and automatically initiating by the computing device the displaying of the specific date or the specific range of dates. 9. A method as recited in claim 1 , wherein the displaying is initiated by one or more web service (s) that have performed the operation of automatically locating the specific date or range of dates and wherein the web service (s) initiate the displaying by sending the located specific date and range of dates to a client application that responds to the located specific date or date range by displaying such specific date or range of dates.
| 0.508869 |
8,595,013 | 1 | 14 |
1. A computer-implemented method for designing a speech application, the method comprising: defining common design elements of a speech application in a dialog design document; creating a design for a first step in designing the speech application using a plurality of data presentation elements; storing the design in a repository using a data repository element; generating a design for a second step in designing the speech application using a data generation element, wherein the data generation element comprises at least one element for generating at least one of a test case, an application code, a report, a view, a use case, or a call flow report; and presenting the design for the second step using the plurality of data presentation elements wherein the plurality of data presentation elements access connectors to integrate and present data stored in the repository in a plurality of application formats, the application formats comprising a portable document format, a web markup language format, a diagramming application format, and a word processing format.
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1. A computer-implemented method for designing a speech application, the method comprising: defining common design elements of a speech application in a dialog design document; creating a design for a first step in designing the speech application using a plurality of data presentation elements; storing the design in a repository using a data repository element; generating a design for a second step in designing the speech application using a data generation element, wherein the data generation element comprises at least one element for generating at least one of a test case, an application code, a report, a view, a use case, or a call flow report; and presenting the design for the second step using the plurality of data presentation elements wherein the plurality of data presentation elements access connectors to integrate and present data stored in the repository in a plurality of application formats, the application formats comprising a portable document format, a web markup language format, a diagramming application format, and a word processing format. 14. The method of claim 1 , wherein the data repository element comprises a catalog of data stored in the repository accessible by at least one stakeholder in designing the speech application.
| 0.710843 |
8,170,866 | 14 | 17 |
14. A spoken dialog system having a speech model, the spoken dialog system comprising: a processor; a first module configured to control the processor to receive speech from a user; and a second module configured to control the processor to perform speech recognition on the speech using the speech model, wherein the speech model is generated by a method comprising: retrieving for an individual a calling list associated with the individual; identifying data of a social network associated with each number in the calling history; refining the data of the social network based on at least one parameter, to yield refined data of the social network; and creating, via a processor, a language model for the individual based on the refined data of the social network.
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14. A spoken dialog system having a speech model, the spoken dialog system comprising: a processor; a first module configured to control the processor to receive speech from a user; and a second module configured to control the processor to perform speech recognition on the speech using the speech model, wherein the speech model is generated by a method comprising: retrieving for an individual a calling list associated with the individual; identifying data of a social network associated with each number in the calling history; refining the data of the social network based on at least one parameter, to yield refined data of the social network; and creating, via a processor, a language model for the individual based on the refined data of the social network. 17. The spoken dialog system of claim 14 , wherein the language model is one of a deterministic model and a stochastic model.
| 0.747984 |
8,838,079 | 37 | 43 |
37. A method on a mobile device of providing keyword-based services to message recipients, the method comprising: receiving a text message at a mobile device of a user; identifying a plurality of keywords in the received text message, wherein at least some of the plurality of keywords are identified by comparing words in the text message with a keyword inventory that is maintained on the mobile device, and wherein the keyword inventory is described by a search tree comprised of a plurality of nodes representing characters, such that one or more nodes linked together define a keyword; retrieving a market segment of the user, the market segment determined based on observed user activity on the mobile device; selecting a subset of the identified keywords based on user-specific information, including the market segment of the user, stored on the mobile device; displaying the received text message to the user of the mobile device, wherein the text of the displayed message is formatted to distinguish the subset of identified keywords in the text from non-identified keyword text in the displayed message; associating each of the subset of identified keywords with at least one advertisement and at least one contextual service; receiving a selection of an identified keyword in the displayed message by the user; displaying to the user at least one advertisement and at least one contextual service associated with the selected keyword; receiving a selection of a displayed advertisement or contextual service from the user; invoking the selected advertisement or contextual service to request additional information associated with the keyword, wherein invoking the selected advertisement or contextual service comprises transmitting the user-specific information to the selected advertisement or contextual service provided that the user has authorized such transmittal; and receiving information associated with the keyword from the selected advertisement or contextual service and presenting the received information to the user.
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37. A method on a mobile device of providing keyword-based services to message recipients, the method comprising: receiving a text message at a mobile device of a user; identifying a plurality of keywords in the received text message, wherein at least some of the plurality of keywords are identified by comparing words in the text message with a keyword inventory that is maintained on the mobile device, and wherein the keyword inventory is described by a search tree comprised of a plurality of nodes representing characters, such that one or more nodes linked together define a keyword; retrieving a market segment of the user, the market segment determined based on observed user activity on the mobile device; selecting a subset of the identified keywords based on user-specific information, including the market segment of the user, stored on the mobile device; displaying the received text message to the user of the mobile device, wherein the text of the displayed message is formatted to distinguish the subset of identified keywords in the text from non-identified keyword text in the displayed message; associating each of the subset of identified keywords with at least one advertisement and at least one contextual service; receiving a selection of an identified keyword in the displayed message by the user; displaying to the user at least one advertisement and at least one contextual service associated with the selected keyword; receiving a selection of a displayed advertisement or contextual service from the user; invoking the selected advertisement or contextual service to request additional information associated with the keyword, wherein invoking the selected advertisement or contextual service comprises transmitting the user-specific information to the selected advertisement or contextual service provided that the user has authorized such transmittal; and receiving information associated with the keyword from the selected advertisement or contextual service and presenting the received information to the user. 43. The method of claim 37 , wherein the received information includes a map or search results.
| 0.893018 |
8,166,550 | 4 | 6 |
4. The method of claim 1 , wherein a type, form or amount of the descriptive information varies for a plurality of different types of archive file formats.
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4. The method of claim 1 , wherein a type, form or amount of the descriptive information varies for a plurality of different types of archive file formats. 6. The method of claim 4 , wherein, for a first archive file type of the plurality of different types of archive files, the descriptive information includes a hash value of the contained file in uncompressed format and a size of the contained file in uncompressed format.
| 0.5 |
9,922,647 | 8 | 10 |
8. A non-transitory computer readable storage medium comprising a computer readable program for reducing response time in a speech interface, wherein the computer readable program when executed on a computer causes the computer to perform the steps of: constructing a partially completed word sequence from a partially received utterance from a speaker received by an audio sensor; modeling a remainder portion for the partially received utterance using a processor based on a rich predictive model to predict the remainder portion; and responding to the partially completed word sequence and the predicted remainder portion for the partially received utterance using a natural language vocalization generator with a vocalization, wherein the vocalization is prepared before a complete utterance is received from the speaker and conveyed to the speaker by an audio transducer.
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8. A non-transitory computer readable storage medium comprising a computer readable program for reducing response time in a speech interface, wherein the computer readable program when executed on a computer causes the computer to perform the steps of: constructing a partially completed word sequence from a partially received utterance from a speaker received by an audio sensor; modeling a remainder portion for the partially received utterance using a processor based on a rich predictive model to predict the remainder portion; and responding to the partially completed word sequence and the predicted remainder portion for the partially received utterance using a natural language vocalization generator with a vocalization, wherein the vocalization is prepared before a complete utterance is received from the speaker and conveyed to the speaker by an audio transducer. 10. The computer readable storage medium of claim 8 , wherein the computer readable program when executed on a computer causes the computer to: use an n-gram model, a recurrent neural network model, a long short term memory, feed forward neural network, or a cornbination thereof for the rich predictive model.
| 0.511041 |
8,379,801 | 9 | 13 |
9. A communication system, comprising: a communication device including a processor; a computer-readable medium coupled to the processor; a display coupled to the processor; and at least one application program stored in the computer-readable medium, wherein the at least one application program, when executed by the processor, is configured to: display a text caption including one or more blocks of text on the display, the text caption indicating a text transcription of a voice signal received by the communication device; and display another block of text within the text caption on the display at a location that corresponds to an actual location as produced by the voice signal.
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9. A communication system, comprising: a communication device including a processor; a computer-readable medium coupled to the processor; a display coupled to the processor; and at least one application program stored in the computer-readable medium, wherein the at least one application program, when executed by the processor, is configured to: display a text caption including one or more blocks of text on the display, the text caption indicating a text transcription of a voice signal received by the communication device; and display another block of text within the text caption on the display at a location that corresponds to an actual location as produced by the voice signal. 13. The communication system of claim 9 , wherein the at least one application program is further configured to replace at least one block of text of the text caption with the another block of text and display the text caption on the display of the communication device substantially simultaneously.
| 0.5 |
8,478,601 | 7 | 8 |
7. The apparatus according to claim 1 , wherein the load estimation element includes a living body information obtaining element for obtaining living body information of the user, and wherein the load estimation element estimates the load based on the living body information.
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7. The apparatus according to claim 1 , wherein the load estimation element includes a living body information obtaining element for obtaining living body information of the user, and wherein the load estimation element estimates the load based on the living body information. 8. The apparatus according to claim 7 , wherein the living body information obtaining element is a heart rate measurement device, and wherein the living body information is a heart rate of the user.
| 0.5 |
7,865,494 | 12 | 15 |
12. A computer program product for personalized searching for information in a distributed data processing system, the computer program product disposed upon a recording medium, the computer program product comprising computer program instructions capable, when executed, of causing a computer to carry out the steps of: providing in a server-side search portal a personal search term list, wherein the personal search term list includes a user identifier that is associated with a search keyword; receiving from a user a navigation identification message comprising a user identification for the server-side search portal, a search keyword, a user identification, a password, and a navigation location; inserting an index record in a personalized search index in dependence upon the user identification, the navigation location, and the personal search term list, wherein the index record associates the user identification with the navigation location and with the one or more search keywords from the personal search term list; and assigning priority to index entries in the personalized search index including counting the number of times each navigation location is received in navigation identification messages.
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12. A computer program product for personalized searching for information in a distributed data processing system, the computer program product disposed upon a recording medium, the computer program product comprising computer program instructions capable, when executed, of causing a computer to carry out the steps of: providing in a server-side search portal a personal search term list, wherein the personal search term list includes a user identifier that is associated with a search keyword; receiving from a user a navigation identification message comprising a user identification for the server-side search portal, a search keyword, a user identification, a password, and a navigation location; inserting an index record in a personalized search index in dependence upon the user identification, the navigation location, and the personal search term list, wherein the index record associates the user identification with the navigation location and with the one or more search keywords from the personal search term list; and assigning priority to index entries in the personalized search index including counting the number of times each navigation location is received in navigation identification messages. 15. The computer program product of claim 12 wherein providing a personal search term list further comprises: receiving in the server-side search portal from the user a search query message comprising search criteria and the user identification; and storing the search criteria in the personal search term list.
| 0.539941 |
8,874,023 | 1 | 10 |
1. A system comprising: one or more processors; and memory storing computer executable instructions which when executed perform a method for developing learning activities for use in a learning program, the method comprising: displaying an adaptive path builder user interface for receiving user input to define an adaptive path of language learning activities, the adaptive path builder user interface including: an adaptive path editing window in which the adaptive path of language learning activities is defined, the adaptive path of language learning activities including a plurality of language learning activities that are interconnected by branches; a branching window which displays one or more branches of a selected language learning activity, each branch comprising at least two destination language learning activities to which branching from the selected language learning activity may occur and conditions defining to which of the at least two destination language learning activities branching will occur; displaying an activity builder user interface on a display device for receiving user input to define one or more of the language learning activities of the adaptive path of language learning activities, the activity builder user interface including: a work area in which components are added to a language learning activity of the adaptive path of language learning activities by dragging and dropping the components in the work area, a components list that lists components available to be dragged and dropped into the work area for inclusion in a language learning activity, a variables list that lists a language learning activity's components and properties of each component in the language learning activity, and a properties list that lists properties of a selected component in a language learning activity, wherein displaying the activity builder user interface includes displaying a first language learning activity of the adaptive path of language learning activities in the work area; receiving, at the activity builder user interface, user input that drags and drops a first set of components onto the work area; adding the first set of components to the first language learning activity being displayed in the work area, including displaying a representation of each component in the first set of components in the work area and the variables list, and displaying a representation of each property of each of the components in the first set of components in the variables list; receiving user input that selects the representation of a first component in the work area or the variables list and displaying the properties of the first component in the properties list; receiving user input that drags and drops the representation of a property of a second component displayed in the variables list onto the representation of a property of the first component displayed in the properties list; and automatically generating a relationship between the first and the second component by associating the property of the second component with the property of the first component.
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1. A system comprising: one or more processors; and memory storing computer executable instructions which when executed perform a method for developing learning activities for use in a learning program, the method comprising: displaying an adaptive path builder user interface for receiving user input to define an adaptive path of language learning activities, the adaptive path builder user interface including: an adaptive path editing window in which the adaptive path of language learning activities is defined, the adaptive path of language learning activities including a plurality of language learning activities that are interconnected by branches; a branching window which displays one or more branches of a selected language learning activity, each branch comprising at least two destination language learning activities to which branching from the selected language learning activity may occur and conditions defining to which of the at least two destination language learning activities branching will occur; displaying an activity builder user interface on a display device for receiving user input to define one or more of the language learning activities of the adaptive path of language learning activities, the activity builder user interface including: a work area in which components are added to a language learning activity of the adaptive path of language learning activities by dragging and dropping the components in the work area, a components list that lists components available to be dragged and dropped into the work area for inclusion in a language learning activity, a variables list that lists a language learning activity's components and properties of each component in the language learning activity, and a properties list that lists properties of a selected component in a language learning activity, wherein displaying the activity builder user interface includes displaying a first language learning activity of the adaptive path of language learning activities in the work area; receiving, at the activity builder user interface, user input that drags and drops a first set of components onto the work area; adding the first set of components to the first language learning activity being displayed in the work area, including displaying a representation of each component in the first set of components in the work area and the variables list, and displaying a representation of each property of each of the components in the first set of components in the variables list; receiving user input that selects the representation of a first component in the work area or the variables list and displaying the properties of the first component in the properties list; receiving user input that drags and drops the representation of a property of a second component displayed in the variables list onto the representation of a property of the first component displayed in the properties list; and automatically generating a relationship between the first and the second component by associating the property of the second component with the property of the first component. 10. The system of claim 1 , wherein the method further comprises: creating a component module comprising the first set of components and one or more associations created between components in the first set; and displaying a representation of the component module in the components list to allow the component module to be reused in other language learning activities.
| 0.5 |
9,230,556 | 9 | 21 |
9. The non-transitory machine readable medium of claim 7 , the program further comprising sets of instructions for, when the device is in the locked mode: determining whether audio data of the received verbal request is in a previously stored set of audio data; and providing turn-by-turn directions for navigating along the route from the current location of the electronic device to the destination only when the received audio data is in the previously stored set of audio data.
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9. The non-transitory machine readable medium of claim 7 , the program further comprising sets of instructions for, when the device is in the locked mode: determining whether audio data of the received verbal request is in a previously stored set of audio data; and providing turn-by-turn directions for navigating along the route from the current location of the electronic device to the destination only when the received audio data is in the previously stored set of audio data. 21. The non-transitory machine readable medium of claim 9 , wherein the previously stored set of audio data is a set of audio data that belongs to a set of authorized users of the electronic device.
| 0.5 |
10,140,976 | 1 | 9 |
1. A method for language processing, comprising: training one or more automatic speech recognition models using an automatic speech recognition dictionary and speech recognition training data; determining a set of N automatic speech recognition hypotheses that characterize a spoken input, based on the one or more automatic speech recognition models, using a processor; selecting a hypothesis from the set of N automatic speech recognition hypotheses using a discriminative language model and a first natural language processing dictionary that excludes words having little discriminatory value according to an error rate of only words other than words having little likely effect on the natural language outcome in each hypothesis; and performing natural language processing on the selected hypothesis using a second natural language processing dictionary that is different from the automatic speech recognition dictionary and the first natural language processing dictionary.
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1. A method for language processing, comprising: training one or more automatic speech recognition models using an automatic speech recognition dictionary and speech recognition training data; determining a set of N automatic speech recognition hypotheses that characterize a spoken input, based on the one or more automatic speech recognition models, using a processor; selecting a hypothesis from the set of N automatic speech recognition hypotheses using a discriminative language model and a first natural language processing dictionary that excludes words having little discriminatory value according to an error rate of only words other than words having little likely effect on the natural language outcome in each hypothesis; and performing natural language processing on the selected hypothesis using a second natural language processing dictionary that is different from the automatic speech recognition dictionary and the first natural language processing dictionary. 9. A computer readable storage medium comprising a computer readable program for language processing, wherein the computer readable program when executed on a computer causes the computer to perform the steps of claim 1 .
| 0.691341 |
8,606,652 | 8 | 10 |
8. A system comprising: one or more computers configured to generate a graphical user interface for a retail environment on at least one display, the graphical user interface including: a vertical scroll means; an upper region including a horizontal rotating carousel including a plurality of product tile regions and a main product image extending beyond an upper border or a lower border of the horizontal rotating carousel and having an image size substantially larger than a tile region size of any product tile region, the main product image visually depicting a main product, the main product image being of a main product within a product category, each of the product tile regions including a respective thumbnail image visually depicting a respective product within the product category, the horizontal rotating carousel being configured to allow a user to scroll horizontally through the plurality of product tile regions; a middle region positioned below the upper region comprised of two generally parallel and vertical column sub-regions, the column sub-regions including a left sub-region and a right sub-region, wherein the left sub-region displays a widget bar including one or more user reviews from one or more socially networked users being socially networked with the web page user, and one or more aggregate customer reviews, the widget bar being configured to accept category reviews from a web page user, wherein the user reviews are categorized into two or more product categories; and wherein a subset of the user reviews presented on the web page are selected based in part upon the product category of a user review section hovered over by a cursor, the user review section being a portion of the user reviews, and wherein the right sub-region comprises one or more detailed features of the main product, one or more third party recommendations about the main product, one or more product images showing customers using the main product; and a comparable alternative product tile; and a lower region positioned below the middle region comprising an array of product tiles, each product tile having a respective thumbnail image of a respective alternative product selected from the product category, the thumbnail image being a visual depiction of the respective alternative product, wherein a ratio of overall height to overall width of the graphical user interface is at least about 4:1 or greater, wherein the array of product tiles exists substantially below the lower boundary viewable on a conventional display monitor when the vertical scroll means is at an uppermost scroll position.
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8. A system comprising: one or more computers configured to generate a graphical user interface for a retail environment on at least one display, the graphical user interface including: a vertical scroll means; an upper region including a horizontal rotating carousel including a plurality of product tile regions and a main product image extending beyond an upper border or a lower border of the horizontal rotating carousel and having an image size substantially larger than a tile region size of any product tile region, the main product image visually depicting a main product, the main product image being of a main product within a product category, each of the product tile regions including a respective thumbnail image visually depicting a respective product within the product category, the horizontal rotating carousel being configured to allow a user to scroll horizontally through the plurality of product tile regions; a middle region positioned below the upper region comprised of two generally parallel and vertical column sub-regions, the column sub-regions including a left sub-region and a right sub-region, wherein the left sub-region displays a widget bar including one or more user reviews from one or more socially networked users being socially networked with the web page user, and one or more aggregate customer reviews, the widget bar being configured to accept category reviews from a web page user, wherein the user reviews are categorized into two or more product categories; and wherein a subset of the user reviews presented on the web page are selected based in part upon the product category of a user review section hovered over by a cursor, the user review section being a portion of the user reviews, and wherein the right sub-region comprises one or more detailed features of the main product, one or more third party recommendations about the main product, one or more product images showing customers using the main product; and a comparable alternative product tile; and a lower region positioned below the middle region comprising an array of product tiles, each product tile having a respective thumbnail image of a respective alternative product selected from the product category, the thumbnail image being a visual depiction of the respective alternative product, wherein a ratio of overall height to overall width of the graphical user interface is at least about 4:1 or greater, wherein the array of product tiles exists substantially below the lower boundary viewable on a conventional display monitor when the vertical scroll means is at an uppermost scroll position. 10. The system of claim 8 , wherein the upper region includes a product information region.
| 0.757979 |
7,694,226 | 13 | 21 |
13. An electronic system for generating a work of communication, the system comprising: a user input system having user input controls adapted to receive instructions from an author including a designation of a set of content data files and a selection an output form for the work of communication; and, a processor adapted to receive the designated content data files and to determine context indicators from the context data files based upon a contextual framework of rules for identifying context indicators in the content data files, said processor further adapted to determine inference queries based upon the context indicators and a knowledge base for a person associated with the work of communication; to obtain context data files from a source of content data files using the inference queries; and, to prioritize obtained context data files based upon the significance of the context data file relative to the associated person said processor further being adapted to provide context data files that have an assigned priority that is greater than a threshold priority for integration into the work of communication; wherein said context data files comprise content data files other than the designated set of content data files.
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13. An electronic system for generating a work of communication, the system comprising: a user input system having user input controls adapted to receive instructions from an author including a designation of a set of content data files and a selection an output form for the work of communication; and, a processor adapted to receive the designated content data files and to determine context indicators from the context data files based upon a contextual framework of rules for identifying context indicators in the content data files, said processor further adapted to determine inference queries based upon the context indicators and a knowledge base for a person associated with the work of communication; to obtain context data files from a source of content data files using the inference queries; and, to prioritize obtained context data files based upon the significance of the context data file relative to the associated person said processor further being adapted to provide context data files that have an assigned priority that is greater than a threshold priority for integration into the work of communication; wherein said context data files comprise content data files other than the designated set of content data files. 21. The system of claim 13 , wherein said processor is adapted to generate inference queries that stimulate recollection through presentation of context relevant content data files to a user.
| 0.797669 |
9,613,138 | 15 | 17 |
15. The method of claim 9 , further comprising calculating similarity coefficients, based on one or more similarity measures, between some of said partitions of one of said plurality of partitions of predefined order using said at least one ordered data array.
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15. The method of claim 9 , further comprising calculating similarity coefficients, based on one or more similarity measures, between some of said partitions of one of said plurality of partitions of predefined order using said at least one ordered data array. 17. The method of claim 15 , wherein the similarity coefficients are used to assign or calculate scores for said partitions of predefined order l and/or l+r and/or the ontological subjects of predefined order k.
| 0.5 |
7,707,553 | 4 | 11 |
4. The method of claim 2 wherein the step of filling the variable fields includes using the template fixed portions of source code implementing a scenario for checking object life-cycle rules of EJB or CORBA specifications.
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4. The method of claim 2 wherein the step of filling the variable fields includes using the template fixed portions of source code implementing a scenario for checking object life-cycle rules of EJB or CORBA specifications. 11. The method of claim 4 wherein the step of filling the variable fields includes using the template fixed portions of source code which implements a scenario for checking robustness of the selected object.
| 0.5 |
10,102,856 | 16 | 17 |
16. The computer program product of claim 14 , wherein the computing device further includes a camera and the characteristics of the environment is based on visual input provided by the camera.
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16. The computer program product of claim 14 , wherein the computing device further includes a camera and the characteristics of the environment is based on visual input provided by the camera. 17. The computer program product of claim 16 , wherein the characteristics of the environment indicate that the user is looking at or towards the computing device.
| 0.5 |
8,392,284 | 14 | 15 |
14. The method of claim 13 , further comprising determining a severity differential between each of said plurality of attributes for said plurality of candidate alternative products and said specific product.
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14. The method of claim 13 , further comprising determining a severity differential between each of said plurality of attributes for said plurality of candidate alternative products and said specific product. 15. The method of claim 14 , wherein said alternative product is selected based on at least one of a predetermined near-price margin, a predetermined near-rank margin, and a predetermined severity differential threshold.
| 0.5 |
8,979,538 | 5 | 6 |
5. The method of claim 2 , further comprising accessing a social networking site and obtaining a list of users from the social networking site that are associated with the user to present to the user within a display of the selected challenge.
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5. The method of claim 2 , further comprising accessing a social networking site and obtaining a list of users from the social networking site that are associated with the user to present to the user within a display of the selected challenge. 6. The method of claim 5 , further comprising posting a message to the social networking site in response to a change in the accumulated user score of the user.
| 0.688716 |
9,792,527 | 2 | 4 |
2. The method of claim 1 , wherein the step of generating the similarity confidence scores for each of the respective ones of the plurality of slides as the functions of the weighted averages of the text content confidence scores and the graphic element content confidence scores generated for the respective ones of the plurality of slides comprises: generating first weighted averages of the graphic element content confidence scores and the text content confidence scores for each of the plurality of slides of the each slides as functions of a first differential weighting of the graphic element content confidence scores relative to the text content confidence scores; comparing the graphic element content confidence scores of the plurality of slides to an image content confidence threshold value that indicates a strength of match of an attribute of the graphic content of the input slide to a corresponding attribute of the graphic content of the plurality of slides; for each of the plurality of slides having a compared graphic element content confidence score that meets the image content confidence threshold value, generating second weighted averages of the graphic element content confidence scores and the text content confidence scores as functions of a second differential weighting of the graphic element content confidence scores relative to the text content confidence scores, wherein the second differential weighting increases a weighting of the graphic element content confidence score relative to the text content confidence score more than the first differential weighting; and selecting higher value ones of the first weighted averages and the second weighted averages as the similarity confidence scores for each of the respective ones of the plurality of slides.
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2. The method of claim 1 , wherein the step of generating the similarity confidence scores for each of the respective ones of the plurality of slides as the functions of the weighted averages of the text content confidence scores and the graphic element content confidence scores generated for the respective ones of the plurality of slides comprises: generating first weighted averages of the graphic element content confidence scores and the text content confidence scores for each of the plurality of slides of the each slides as functions of a first differential weighting of the graphic element content confidence scores relative to the text content confidence scores; comparing the graphic element content confidence scores of the plurality of slides to an image content confidence threshold value that indicates a strength of match of an attribute of the graphic content of the input slide to a corresponding attribute of the graphic content of the plurality of slides; for each of the plurality of slides having a compared graphic element content confidence score that meets the image content confidence threshold value, generating second weighted averages of the graphic element content confidence scores and the text content confidence scores as functions of a second differential weighting of the graphic element content confidence scores relative to the text content confidence scores, wherein the second differential weighting increases a weighting of the graphic element content confidence score relative to the text content confidence score more than the first differential weighting; and selecting higher value ones of the first weighted averages and the second weighted averages as the similarity confidence scores for each of the respective ones of the plurality of slides. 4. The method of claim 2 , wherein the graphic element content confidence scores are generated to represent at least one of: amounts of similarity of an individual graphic element that is visible within the graphic content of the input slide to individual graphic elements that are visible within the graphic content of the respective ones of the plurality of slides, as a function of at least one of shape, scale, and color attributes; and amounts of similarity of an arrangement of multiple elements that are each visible within the graphic content of the input slide relative to each other to arrangements of multiple elements that are visible within the graphic content of respective ones of the plurality of slides, as a function of at least one of shape, scale, and color attributes.
| 0.606287 |
8,092,223 | 1 | 5 |
1. A universal, multi-sensory learning aid for assisting child and adult learners having either text or visual learning styles in language and writing comprehension, comprising: a) a generally planar rectangular paper sheet having marginal edges; b) disposed on said paper sheet inside said marginal edges are a series of printed borders defining: i) a first area on which is disposed a real object image; ii) a second area having a plurality of writing guidelines comprising solid lines defining margins within which writing is to be confined, and including dashed lines between said solid line margins defining orthographic element direction or size; and iii) a third area for free-hand drawing or printing by said learners; c) said second area includes letters or ideographs spelling the word for the object depicted in the first area, said word covering only a small portion of said second area, said word being disposed with respect to said solid and dashed guidelines to show the proper location for writing said word, and said second area including at least one full line between opposed side margins of said paper sheet for practice writing of said word by said learner; d) said first, image area is disposed above or to one side of the writing area, and the drawing area is disposed adjacent a bottom margin of said paper sheet; e) said sheet being provided with a surface selected from at least one of a coating, and a first and a second smooth transparent rigid but flexible plastic sheet between which said paper sheet is laminated to form a robust, reusable, coated or laminated card assembly, and in the case of said laminated card assembly, said plastic sheets being aligned congruent to each other, said paper sheet being smaller in area than said plastic sheets such that there is a clear marginal border around said paper sheet, and the corners of said coated or laminated card assembly are rounded to prevent injury to children; f) said surface coating and said plastic of said plastic sheets is selected to permit writing and drawing with a marker and for easy erasing of the marker writing and drawing; g) a transparent pocket of sheet plastic overlying substantially the extent of said image area, said pocket including a slot for insertion of a separate image therethrough, so that when a separate image is inserted in said pocket through said slot, said separate image is viewable by said learner in place of the original image provided in the card, whereby said learner personalizes said learning aid by insertion of a separate image personal to the learner into said pocket via said slot; and h) said laminated card learning aid is easily handled by children, may be cleaned and reused, is robust to provide extended useful life, and is universal with respect to both text and visual learning styles by providing, for predominantly text learners, sufficient space for either a left-handed or right-handed learner to engage in kinesthetic association by practice writing activity on the card without obscuring the text word or the image when practicing the letters on the second area guidelines, and for predominantly visual learners, providing a real object image that permits visual learning association with the word without double inductive reasoning being required, and is personalizable by said learners.
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1. A universal, multi-sensory learning aid for assisting child and adult learners having either text or visual learning styles in language and writing comprehension, comprising: a) a generally planar rectangular paper sheet having marginal edges; b) disposed on said paper sheet inside said marginal edges are a series of printed borders defining: i) a first area on which is disposed a real object image; ii) a second area having a plurality of writing guidelines comprising solid lines defining margins within which writing is to be confined, and including dashed lines between said solid line margins defining orthographic element direction or size; and iii) a third area for free-hand drawing or printing by said learners; c) said second area includes letters or ideographs spelling the word for the object depicted in the first area, said word covering only a small portion of said second area, said word being disposed with respect to said solid and dashed guidelines to show the proper location for writing said word, and said second area including at least one full line between opposed side margins of said paper sheet for practice writing of said word by said learner; d) said first, image area is disposed above or to one side of the writing area, and the drawing area is disposed adjacent a bottom margin of said paper sheet; e) said sheet being provided with a surface selected from at least one of a coating, and a first and a second smooth transparent rigid but flexible plastic sheet between which said paper sheet is laminated to form a robust, reusable, coated or laminated card assembly, and in the case of said laminated card assembly, said plastic sheets being aligned congruent to each other, said paper sheet being smaller in area than said plastic sheets such that there is a clear marginal border around said paper sheet, and the corners of said coated or laminated card assembly are rounded to prevent injury to children; f) said surface coating and said plastic of said plastic sheets is selected to permit writing and drawing with a marker and for easy erasing of the marker writing and drawing; g) a transparent pocket of sheet plastic overlying substantially the extent of said image area, said pocket including a slot for insertion of a separate image therethrough, so that when a separate image is inserted in said pocket through said slot, said separate image is viewable by said learner in place of the original image provided in the card, whereby said learner personalizes said learning aid by insertion of a separate image personal to the learner into said pocket via said slot; and h) said laminated card learning aid is easily handled by children, may be cleaned and reused, is robust to provide extended useful life, and is universal with respect to both text and visual learning styles by providing, for predominantly text learners, sufficient space for either a left-handed or right-handed learner to engage in kinesthetic association by practice writing activity on the card without obscuring the text word or the image when practicing the letters on the second area guidelines, and for predominantly visual learners, providing a real object image that permits visual learning association with the word without double inductive reasoning being required, and is personalizable by said learners. 5. A universal, multi-sensory learning aid as in claim 1 wherein said third drawing area includes sign language indicia showing images of a hand for forming the letters of a hand corresponding to the text letters of the word in the second, writing area.
| 0.864416 |
9,031,831 | 1 | 10 |
1. A computer implemented method comprising: displaying text image content on a display screen; detecting user input associated with a portion of the display screen; establishing coordinates associated with the user input; identifying a rectangular region of the text image content indicated by the coordinates, wherein the rectangular region contains text; performing character recognition on the identified rectangular region to extract text from the text image content resulting in a recognition result; comparing the recognition result with similar word forms in a first morphology dictionary to correct errors in the recognition result; identifying the extracted text associated with the rectangular region of the text image content; determining a set of base forms of any inflected form of the word in the extracted text using a second morphological dictionary; performing a dictionary lookup based on the identified extracted text comprising: determining a set of base forms of any inflected form of a word in the extracted text using a second morphological dictionary; identifying a set of translations of the set of base forms from a first dictionary; determining a result translation of the word from the retrieved set of translations, wherein the result translation is a most likely part of speech; and displaying the result translation of the dictionary lookup on the display screen.
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1. A computer implemented method comprising: displaying text image content on a display screen; detecting user input associated with a portion of the display screen; establishing coordinates associated with the user input; identifying a rectangular region of the text image content indicated by the coordinates, wherein the rectangular region contains text; performing character recognition on the identified rectangular region to extract text from the text image content resulting in a recognition result; comparing the recognition result with similar word forms in a first morphology dictionary to correct errors in the recognition result; identifying the extracted text associated with the rectangular region of the text image content; determining a set of base forms of any inflected form of the word in the extracted text using a second morphological dictionary; performing a dictionary lookup based on the identified extracted text comprising: determining a set of base forms of any inflected form of a word in the extracted text using a second morphological dictionary; identifying a set of translations of the set of base forms from a first dictionary; determining a result translation of the word from the retrieved set of translations, wherein the result translation is a most likely part of speech; and displaying the result translation of the dictionary lookup on the display screen. 10. The method of claim 1 , wherein the displaying comprises displaying at least a most likely result of the dictionary lookup.
| 0.728632 |
9,460,082 | 1 | 5 |
1. A computer system for providing annotations for revising a message, comprising: a processor; and a storage device connected to the processor, wherein the storage device has stored thereon a program, and wherein the processor is configured to execute instructions of the program to perform operations, wherein the operations comprise: receiving a message to be sent from a sender to a recipient; receiving selection of a dialect for the sender and a dialect for the recipient; receiving a level of misunderstanding that is acceptable to the recipient; selecting a meaning map associated with the sender based on the dialect for the sender to determine a first context of the message that indicates a first way in which the message is understood; selecting a meaning map associated with the recipient based on the dialect for the recipient to determine a second context of the message that indicates a second way in which the message is understood; parsing the message into sub-constructs; comparing the sub-constructs in the meaning map associated with the sender and the meaning map associated with the recipient to identify words and phrases where there are differences between perceptions of the sender and the recipient; and in response to the comparisons showing that the differences are greater than a threshold that is based on the level of misunderstanding that is acceptable, identifying alternative language for the sub-constructs in the message; and providing annotations for the message to the sender based on the alternative language before the message is sent from the sender to the recipient, wherein the annotations indicate the second context of the message.
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1. A computer system for providing annotations for revising a message, comprising: a processor; and a storage device connected to the processor, wherein the storage device has stored thereon a program, and wherein the processor is configured to execute instructions of the program to perform operations, wherein the operations comprise: receiving a message to be sent from a sender to a recipient; receiving selection of a dialect for the sender and a dialect for the recipient; receiving a level of misunderstanding that is acceptable to the recipient; selecting a meaning map associated with the sender based on the dialect for the sender to determine a first context of the message that indicates a first way in which the message is understood; selecting a meaning map associated with the recipient based on the dialect for the recipient to determine a second context of the message that indicates a second way in which the message is understood; parsing the message into sub-constructs; comparing the sub-constructs in the meaning map associated with the sender and the meaning map associated with the recipient to identify words and phrases where there are differences between perceptions of the sender and the recipient; and in response to the comparisons showing that the differences are greater than a threshold that is based on the level of misunderstanding that is acceptable, identifying alternative language for the sub-constructs in the message; and providing annotations for the message to the sender based on the alternative language before the message is sent from the sender to the recipient, wherein the annotations indicate the second context of the message. 5. The computer system of claim 1 , wherein the operations further comprise: in response to providing the annotations, receiving changes to the message.
| 0.75 |
6,018,346 | 11 | 13 |
11. The system as recited in claim 1 wherein said editing actions are gestures performed by a user using said input device.
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11. The system as recited in claim 1 wherein said editing actions are gestures performed by a user using said input device. 13. The system as recited in claim 11 wherein one of said layouts is a description layout that describes said meeting object class definition and wherein a hold gesture has a corresponding action rule that causes said description layout to be displayed.
| 0.652473 |
9,648,268 | 1 | 10 |
1. A method performed by a processor of providing companion services to a companion device associated with a media display device, the method comprising: detecting video being displayed on the media display device; in response to detecting video being displayed, automatically identifying text contained within the video; determining, by performing pattern matching, if the identified text in the video contains one or more actionable text; if the identified text in the video contains one or more actionable text, providing access to one or more features at the companion device based on the one or more actionable text while playback of the video is being provided on the media display device, wherein providing access to the one or more features includes adding an actionable link to an actionable object list, and wherein the added actionable link is associated with the identified one or more actionable text, and wherein the added actionable link is a link to an operation, and wherein when the actionable object list contains two or more actionable links, each actionable link in the actionable object list is a link to a unique operation, and wherein the actionable object list is a running list of added actionable links that includes actionable links associated with previously identified one or more actionable text; and providing instructions to display at the companion device the added actionable links in the actionable object list based on an order in which the one or more actionable text associated with the added actionable links were identified in the video.
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1. A method performed by a processor of providing companion services to a companion device associated with a media display device, the method comprising: detecting video being displayed on the media display device; in response to detecting video being displayed, automatically identifying text contained within the video; determining, by performing pattern matching, if the identified text in the video contains one or more actionable text; if the identified text in the video contains one or more actionable text, providing access to one or more features at the companion device based on the one or more actionable text while playback of the video is being provided on the media display device, wherein providing access to the one or more features includes adding an actionable link to an actionable object list, and wherein the added actionable link is associated with the identified one or more actionable text, and wherein the added actionable link is a link to an operation, and wherein when the actionable object list contains two or more actionable links, each actionable link in the actionable object list is a link to a unique operation, and wherein the actionable object list is a running list of added actionable links that includes actionable links associated with previously identified one or more actionable text; and providing instructions to display at the companion device the added actionable links in the actionable object list based on an order in which the one or more actionable text associated with the added actionable links were identified in the video. 10. The method of claim 1 , wherein providing access to one or more features comprises automatically performing a function associated with the one or more actionable text on the companion device.
| 0.732143 |
8,768,708 | 1 | 3 |
1. A method for analyzing a voice of a speaker, comprising: specifically programming at least one computer machine to at least perform the following: receiving data indicative of speech from the speaker; storing the received data in at least one database; calculating, based upon the received data, an average intensity value for each of a plurality of frequencies, wherein the calculation of the average intensity value for each frequency is based on: i) dividing the received data into a number of time periods; ii) obtaining an intensity of the speaker's speech for each frequency during each time period; iii) obtaining a sum of intensity values for each frequency during all time periods; and iv) dividing the sum of intensity values for each frequency by the number of time periods; calculating, based upon the received data, a maximum intensity value for each of the plurality of frequencies, wherein the maximum intensity value for each frequency is the highest intensity of the speaker's speech for each frequency during all time periods; calculating a level of a survival element of a personality profile of the speaker based upon at least one of: (a) a rapid change in the average intensity value between at least a portion of the plurality of frequencies and (b) a rapid change in the maximum intensity value between at least a portion of the plurality of frequencies; calculating a level of a homeostasis element of the personality profile of the speaker by measuring a distance between the average intensity value and the maximum intensity for each frequency of at least a portion of the plurality of frequencies; calculating a level of a growth element of the personality profile of the speaker based upon at least one of: (a) determining a frequency range within at least a portion of the plurality of frequencies in which the average intensity value of each frequency within the frequency range is higher than a value that is equal to a predetermined percent of the highest average intensity value within the frequency range of the at least a portion of the plurality of frequencies, (b) determining at least one frequency within at least a portion of the plurality of frequencies that has the highest maximum intensity value among the at least a portion of the plurality of frequencies, and (c) determining a level of correlation between changes in intensity values during the time periods of a first frequency and changes in intensity values during the time periods of a second frequency; and outputting an indicator of the personality profile of the speaker based upon a combination of the calculated level of the survival element of the speaker, the calculated level of the homeostasis element of the speaker, and the calculated level of the growth element of the speaker, wherein the indicator of the personal profile at least inform that the speaker exhibits at least one the following personality characteristics: i) a strive to innovate when the calculated level of the growth element is high, ii) a strive for personal enrichment when the calculated level of the growth element is high, iii) a tendency to seek isolation when the calculated level of the growth element is low, iv) a tendency for mental depression when the calculated level of the growth element is low, v) a tendency to engage in high-risk behavior when the calculated level of the survival element is high, vi) a tendency for aggressiveness when the calculated level of the survival element is high, vii) a tendency for possessiveness when the calculated level of the survival element is high, viii) a tendency for being indecisive when the calculated level of the survival element is low, ix) a tendency for being resistant to changing opinions when the calculated level of the homeostasis element is high, x) a tendency for being resistant to changing habits when the calculated level of the homeostasis element is high, xi) a tendency to frequently change opinions when the calculated level of the homeostasis element is low, and xii) a tendency to frequently change habits when the calculated level of the homeostasis element is low.
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1. A method for analyzing a voice of a speaker, comprising: specifically programming at least one computer machine to at least perform the following: receiving data indicative of speech from the speaker; storing the received data in at least one database; calculating, based upon the received data, an average intensity value for each of a plurality of frequencies, wherein the calculation of the average intensity value for each frequency is based on: i) dividing the received data into a number of time periods; ii) obtaining an intensity of the speaker's speech for each frequency during each time period; iii) obtaining a sum of intensity values for each frequency during all time periods; and iv) dividing the sum of intensity values for each frequency by the number of time periods; calculating, based upon the received data, a maximum intensity value for each of the plurality of frequencies, wherein the maximum intensity value for each frequency is the highest intensity of the speaker's speech for each frequency during all time periods; calculating a level of a survival element of a personality profile of the speaker based upon at least one of: (a) a rapid change in the average intensity value between at least a portion of the plurality of frequencies and (b) a rapid change in the maximum intensity value between at least a portion of the plurality of frequencies; calculating a level of a homeostasis element of the personality profile of the speaker by measuring a distance between the average intensity value and the maximum intensity for each frequency of at least a portion of the plurality of frequencies; calculating a level of a growth element of the personality profile of the speaker based upon at least one of: (a) determining a frequency range within at least a portion of the plurality of frequencies in which the average intensity value of each frequency within the frequency range is higher than a value that is equal to a predetermined percent of the highest average intensity value within the frequency range of the at least a portion of the plurality of frequencies, (b) determining at least one frequency within at least a portion of the plurality of frequencies that has the highest maximum intensity value among the at least a portion of the plurality of frequencies, and (c) determining a level of correlation between changes in intensity values during the time periods of a first frequency and changes in intensity values during the time periods of a second frequency; and outputting an indicator of the personality profile of the speaker based upon a combination of the calculated level of the survival element of the speaker, the calculated level of the homeostasis element of the speaker, and the calculated level of the growth element of the speaker, wherein the indicator of the personal profile at least inform that the speaker exhibits at least one the following personality characteristics: i) a strive to innovate when the calculated level of the growth element is high, ii) a strive for personal enrichment when the calculated level of the growth element is high, iii) a tendency to seek isolation when the calculated level of the growth element is low, iv) a tendency for mental depression when the calculated level of the growth element is low, v) a tendency to engage in high-risk behavior when the calculated level of the survival element is high, vi) a tendency for aggressiveness when the calculated level of the survival element is high, vii) a tendency for possessiveness when the calculated level of the survival element is high, viii) a tendency for being indecisive when the calculated level of the survival element is low, ix) a tendency for being resistant to changing opinions when the calculated level of the homeostasis element is high, x) a tendency for being resistant to changing habits when the calculated level of the homeostasis element is high, xi) a tendency to frequently change opinions when the calculated level of the homeostasis element is low, and xii) a tendency to frequently change habits when the calculated level of the homeostasis element is low. 3. The method of claim 1 , wherein the calculated level of the survival element comprises one of six possible levels, wherein the calculated level of the homeostasis element comprises one of six possible levels, wherein the calculated level of the growth element comprises one of six possible levels, and wherein the indicator of the personality profile comprises one of two-hundred and sixteen possible combinations of the levels of the survival element, the homeostasis element and the growth element.
| 0.5 |
8,954,539 | 15 | 17 |
15. The computer-program product of claim 14 , wherein the behavioral information includes a time of one or more previous visits in a domain that includes a requested web page, a time that the web page was last requested, a number of visits in the domain, a number of times that the object has been presented, and a number of times that the object has been selected.
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15. The computer-program product of claim 14 , wherein the behavioral information includes a time of one or more previous visits in a domain that includes a requested web page, a time that the web page was last requested, a number of visits in the domain, a number of times that the object has been presented, and a number of times that the object has been selected. 17. The computer-program product of claim 15 , wherein the behavioral information is stored in a cookie.
| 0.518519 |
9,563,663 | 12 | 13 |
12. The computer-readable memory of claim 11 , wherein the continuous query language query statement includes at least one predicate.
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12. The computer-readable memory of claim 11 , wherein the continuous query language query statement includes at least one predicate. 13. The computer-implemented method of claim 12 , wherein the continuous query language query statement is configured to retrieve at least one of historical or streaming data.
| 0.5 |
9,472,189 | 1 | 3 |
1. A language processing method, comprising: receiving an user utterance as an input sequence of token elements; parsing, using a parsing processor, the input sequence of the token elements using a parsing algorithm in a first mode applying regular production rules on the token elements and on multi-token classifiers for phrases obtained from the token elements, wherein each token element contains a token of an input string and/or at least one corresponding token classifier; controlling, when the first mode parsing does not result in a multi-token phrase encompassing all tokens of the input string, the parsing processor to parse the input sequence using the parsing algorithm in a second mode applying both the regular and artificial production rules, wherein the second mode comprises generating the artificial production rules on the basis of the input sequence and intermediate results of the parsing using the parsing algorithm in the first mode, the intermediate results being based on lexical category of the token of the input string; and matching the parsed input sequence to one of a plurality of predefined machine commands to generate a command based on the input sequence, wherein the parsing algorithm comprises calculating probabilities for all possible subsequences and selecting, for each sequence of token classifiers within the input sequence, the subsequences with a highest probability, and each of the artificial production rules has a probability value lower than any of the regular production rules, the probability value being set such that at most one artificial production rule of the artificial production rules is used when parsing the input sequence using the parsing algorithm in the second mode, and the probability value being increased when the artificial production rule is successfully applied.
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1. A language processing method, comprising: receiving an user utterance as an input sequence of token elements; parsing, using a parsing processor, the input sequence of the token elements using a parsing algorithm in a first mode applying regular production rules on the token elements and on multi-token classifiers for phrases obtained from the token elements, wherein each token element contains a token of an input string and/or at least one corresponding token classifier; controlling, when the first mode parsing does not result in a multi-token phrase encompassing all tokens of the input string, the parsing processor to parse the input sequence using the parsing algorithm in a second mode applying both the regular and artificial production rules, wherein the second mode comprises generating the artificial production rules on the basis of the input sequence and intermediate results of the parsing using the parsing algorithm in the first mode, the intermediate results being based on lexical category of the token of the input string; and matching the parsed input sequence to one of a plurality of predefined machine commands to generate a command based on the input sequence, wherein the parsing algorithm comprises calculating probabilities for all possible subsequences and selecting, for each sequence of token classifiers within the input sequence, the subsequences with a highest probability, and each of the artificial production rules has a probability value lower than any of the regular production rules, the probability value being set such that at most one artificial production rule of the artificial production rules is used when parsing the input sequence using the parsing algorithm in the second mode, and the probability value being increased when the artificial production rule is successfully applied. 3. The method according to claim 1 , comprising checking, for every possible sequence of token elements within the input sequence, whether the sequence can be construed on the basis of the regular production rules, and applying, only when the sequence cannot be construed on the basis of the regular production rules, one of the artificial production rules to obtain constituent information descriptive for one or more grammatical functions of the sequence.
| 0.584545 |
8,705,897 | 18 | 20 |
18. A non-transitory computer readable storage medium including instructions that, when executed by a processor, causes the processor to perform a method comprising: retrieving a plurality of collections of digital image files, each collection consolidating digital image files into groups based on metadata before receipt of an image display request, wherein the metadata includes at least data indicative of user interaction with the digital image files in the plurality of collections subsequent to initially acquiring the digital image files, and wherein the metadata is based on a frequency of access of the digital image files by the user; displaying iconic representations of the digital images files by display of the collections in a visual metaphor, wherein the visual metaphor displays the iconic representations for different collections at different sizes and positions relative to one another, and wherein the different sizes of the collections in the visual metaphor are based on the frequency of access; and responsive to user input, opening a collection of digital image files selected by a user.
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18. A non-transitory computer readable storage medium including instructions that, when executed by a processor, causes the processor to perform a method comprising: retrieving a plurality of collections of digital image files, each collection consolidating digital image files into groups based on metadata before receipt of an image display request, wherein the metadata includes at least data indicative of user interaction with the digital image files in the plurality of collections subsequent to initially acquiring the digital image files, and wherein the metadata is based on a frequency of access of the digital image files by the user; displaying iconic representations of the digital images files by display of the collections in a visual metaphor, wherein the visual metaphor displays the iconic representations for different collections at different sizes and positions relative to one another, and wherein the different sizes of the collections in the visual metaphor are based on the frequency of access; and responsive to user input, opening a collection of digital image files selected by a user. 20. The non-transitory computer readable storage medium of claim 18 wherein collections of iconic representations of digital image files are interactively displayed on a map.
| 0.620087 |
8,983,993 | 15 | 18 |
15. A non-transitory computer-readable storage medium having stored thereon computer executable program code, which, when executed by a computer, causes the computer to: receive a SPARQL query having one or more query parameters on the multidimensional database comprising references to one or more fact tables and one or more dimension tables in the multidimensional database, the multidimensional database having one or more native query languages to access the multidimensional database, none of which are SPARQL; generate a native query from the SPARQL query using a mapping file comprising metadata that describes the multidimensional database, including: automatically mapping one or more columns in the multidimensional database to the one or more query parameters in the SPARQL query; wherein the mapping is serialized with a target vocabulary; and the target vocabulary includes one of: a R2RML vocabulary, a D2RQ vocabulary, or a QB4OLAP vocabulary; wherein the native query is expressed in one of the native query languages of the multidimensional database; execute the native query on the multidimensional database; receive a native result comprising data stored in the multidimensional database resulting from execution of the native query against the multidimensional database; and generate a SPARQL result from the native result using the mapping file, the SPARQL result representing a response to the SPARQL query.
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15. A non-transitory computer-readable storage medium having stored thereon computer executable program code, which, when executed by a computer, causes the computer to: receive a SPARQL query having one or more query parameters on the multidimensional database comprising references to one or more fact tables and one or more dimension tables in the multidimensional database, the multidimensional database having one or more native query languages to access the multidimensional database, none of which are SPARQL; generate a native query from the SPARQL query using a mapping file comprising metadata that describes the multidimensional database, including: automatically mapping one or more columns in the multidimensional database to the one or more query parameters in the SPARQL query; wherein the mapping is serialized with a target vocabulary; and the target vocabulary includes one of: a R2RML vocabulary, a D2RQ vocabulary, or a QB4OLAP vocabulary; wherein the native query is expressed in one of the native query languages of the multidimensional database; execute the native query on the multidimensional database; receive a native result comprising data stored in the multidimensional database resulting from execution of the native query against the multidimensional database; and generate a SPARQL result from the native result using the mapping file, the SPARQL result representing a response to the SPARQL query. 18. The non-transitory computer-readable storage medium of claim 15 wherein the native result further comprises one or more aggregations of data stored in the multidimensional database that was retrieved in response to the native query.
| 0.759674 |
10,084,805 | 14 | 15 |
14. The computer-implemented method of claim 13 , comprising generating indicators for entities committing scenario violations based on applying the scenario rules, each indicator to indicate an entity committed a scenario violation.
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14. The computer-implemented method of claim 13 , comprising generating indicators for entities committing scenario violations based on applying the scenario rules, each indicator to indicate an entity committed a scenario violation. 15. The computer-implemented method of claim 14 , comprising: passing each indicator for each of the scenario clusters through a statistical model to determine the predictive ability values for the scenario clusters, each indicator to indicate whether a scenario cluster is triggered to predict the targeted behavior, ranking each of the scenario clusters based on the predictive ability values by relative significance, and removing scenario clusters having predictive ability values below the predictive threshold.
| 0.5 |
4,724,523 | 39 | 58 |
39. A method for the electronic storage of linguistic expressions, said method comprising the steps of A. storing a main dictionary comprising at least one addressable entry representative of a linguistic expression, said expression being at least one of a base form of a regular paradigm, a base form of a partially irregular paradigm, an exceptional inflected form of a partially irregular paradigm, and an element of a fully irregular paradigm, and B. storing linguistic information corresponding to at least one said stored entry and comprising at least one of the steps of (i) storing a first linguistic information pattern corresponding to at least one said stored regular paradigm base form-reprepresentative entry, (ii) storing an addressable second linguistic information pattern corresponding to at least one said stored partially irregular paradigm base form-representative entry, and (iii) storing an addressable third linguistic information pattern corresponding to at least one said stored fully irregular paradigm element-representative entry.
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39. A method for the electronic storage of linguistic expressions, said method comprising the steps of A. storing a main dictionary comprising at least one addressable entry representative of a linguistic expression, said expression being at least one of a base form of a regular paradigm, a base form of a partially irregular paradigm, an exceptional inflected form of a partially irregular paradigm, and an element of a fully irregular paradigm, and B. storing linguistic information corresponding to at least one said stored entry and comprising at least one of the steps of (i) storing a first linguistic information pattern corresponding to at least one said stored regular paradigm base form-reprepresentative entry, (ii) storing an addressable second linguistic information pattern corresponding to at least one said stored partially irregular paradigm base form-representative entry, and (iii) storing an addressable third linguistic information pattern corresponding to at least one said stored fully irregular paradigm element-representative entry. 58. A method according to claim 39, in which said main dictionary storing step comprises at least one of (i) storing a first dictionary section comprising at least one addressable entry representative of a linguistic expression having a character length less than nine, (ii) storing a second dictionary section comprising at least one addressable entry representative of a linguistic expression having a character length greater than nine and not more than sixteen, (iii) storing a third dictionary section comprising at least one addressable entry representative of a linguistic expression having a character length greater than sixteen, (iv) storing a fourth dictionary section comprising at least one addressable entry representative of a linguistic expression having a capitalized initial letter.
| 0.5 |
9,324,034 | 14 | 15 |
14. The non-transitory computer readable storage medium of claim 13 , wherein the stored server-executable software instructions are configured to cause the server processor to perform operations further comprising: applying the factors to the corpus of behavior vectors to generate a second family of classifier models that identify fewer data points as being relevant for enabling the mobile device to conclusively determine whether the mobile device behavior is not benign; and generating a mobile device classifier based on the second family of classifier models.
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14. The non-transitory computer readable storage medium of claim 13 , wherein the stored server-executable software instructions are configured to cause the server processor to perform operations further comprising: applying the factors to the corpus of behavior vectors to generate a second family of classifier models that identify fewer data points as being relevant for enabling the mobile device to conclusively determine whether the mobile device behavior is not benign; and generating a mobile device classifier based on the second family of classifier models. 15. The non-transitory computer readable storage medium of claim 14 , wherein the stored server-executable software instructions are configured to cause the server processor to perform operations further comprising: sending the generated mobile device classifier to a mobile computing device.
| 0.5 |
8,595,006 | 1 | 4 |
1. A speech recognition method implemented in a computer, comprising: receiving a speech input in a first noise environment which comprises a sequence of observations; determining the likelihood of a sequence of words arising from the sequence of observations using an acoustic model, comprising: providing an acoustic model for performing speech recognition on a input signal which comprises a sequence of observations, wherein said model has been trained to recognise speech in a second noise environment, said model having a plurality of model parameters relating to the probability distribution of a word or part thereof being related to an observation; adapting the model trained in the second environment to that of the first environment; the speech recognition method further comprising determining the likelihood of a sequence of observations occurring in a given language using a language model; combining the likelihoods determined by the acoustic model and the language model and outputting a sequence of words identified from said speech input signal, wherein adapting the model trained in the second environment to that of the first environment comprises: adapting the model parameters of the model trained in the second noise environment to those of the first noise environment using transform parameters to produce a target distribution, wherein the transform parameters have a block diagonal form and are regression class dependent, each regression class comprising a plurality of probability distributions; mimicking the target distribution using a linear regression type distribution, said linear regression type distribution comprising mimicked transform parameters; and estimating the mimicked transformed parameters.
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1. A speech recognition method implemented in a computer, comprising: receiving a speech input in a first noise environment which comprises a sequence of observations; determining the likelihood of a sequence of words arising from the sequence of observations using an acoustic model, comprising: providing an acoustic model for performing speech recognition on a input signal which comprises a sequence of observations, wherein said model has been trained to recognise speech in a second noise environment, said model having a plurality of model parameters relating to the probability distribution of a word or part thereof being related to an observation; adapting the model trained in the second environment to that of the first environment; the speech recognition method further comprising determining the likelihood of a sequence of observations occurring in a given language using a language model; combining the likelihoods determined by the acoustic model and the language model and outputting a sequence of words identified from said speech input signal, wherein adapting the model trained in the second environment to that of the first environment comprises: adapting the model parameters of the model trained in the second noise environment to those of the first noise environment using transform parameters to produce a target distribution, wherein the transform parameters have a block diagonal form and are regression class dependent, each regression class comprising a plurality of probability distributions; mimicking the target distribution using a linear regression type distribution, said linear regression type distribution comprising mimicked transform parameters; and estimating the mimicked transformed parameters. 4. The speech recognition method of claim 1 , wherein estimating the mimicked transform parameters comprises minimising a divergence between the linear regression type distribution and the target distribution.
| 0.904566 |
9,626,434 | 8 | 10 |
8. A computer program product comprising a non-transitory computer readable medium having a set of instructions stored thereon, the instructions, which when executed by a computer system, perform: storing metadata values for each of a plurality of content objects in corresponding metadata value storage locations in a data storage unit containing an index, the plurality of content objects stored in a repository accessible by the computer system, the index having multiple metadata indices for metadata fields, each metadata field of the metadata fields having a unique identity and a corresponding metadata value storage location in the data storage unit, wherein the index in the data storage unit further comprises multiple aggregate metadata indices in addition to the multiple metadata indices, wherein each aggregate metadata index of the multiple aggregate metadata indices includes a dictionary and a single defined metadata field, the single defined metadata field associated with a designated set of metadata fields including at least two of the metadata fields from the multiple metadata indices, each of the at least two of the metadata fields retaining the unique identity and the corresponding metadata value storage location in the data storage unit, the at least two of the metadata fields being logically related or associated to one another, wherein the dictionary contains and identifies terms contained in particular metadata values associated with the at least two of the metadata fields from the multiple metadata indices, the aggregate metadata index further containing, for each term, one or more pointers identifying content objects which have metadata fields containing the particular metadata values; receiving a search query containing a specific search term over a network via a search interface operating on a client computer having the defined metadata field of the aggregate metadata index; searching the dictionary of the aggregate metadata index for a term that matches the specific search term, the term pointing, via associated one or more pointers, to one or more content objects which have one or more metadata values that contain the specific search term; retrieving, from corresponding metadata value storage locations, the one or more metadata values associated with the one or more content objects and containing the specific search term; and returning to the client computer over the network via the search interface at least a metadata value of the one or more metadata values associated with the one or more content objects.
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8. A computer program product comprising a non-transitory computer readable medium having a set of instructions stored thereon, the instructions, which when executed by a computer system, perform: storing metadata values for each of a plurality of content objects in corresponding metadata value storage locations in a data storage unit containing an index, the plurality of content objects stored in a repository accessible by the computer system, the index having multiple metadata indices for metadata fields, each metadata field of the metadata fields having a unique identity and a corresponding metadata value storage location in the data storage unit, wherein the index in the data storage unit further comprises multiple aggregate metadata indices in addition to the multiple metadata indices, wherein each aggregate metadata index of the multiple aggregate metadata indices includes a dictionary and a single defined metadata field, the single defined metadata field associated with a designated set of metadata fields including at least two of the metadata fields from the multiple metadata indices, each of the at least two of the metadata fields retaining the unique identity and the corresponding metadata value storage location in the data storage unit, the at least two of the metadata fields being logically related or associated to one another, wherein the dictionary contains and identifies terms contained in particular metadata values associated with the at least two of the metadata fields from the multiple metadata indices, the aggregate metadata index further containing, for each term, one or more pointers identifying content objects which have metadata fields containing the particular metadata values; receiving a search query containing a specific search term over a network via a search interface operating on a client computer having the defined metadata field of the aggregate metadata index; searching the dictionary of the aggregate metadata index for a term that matches the specific search term, the term pointing, via associated one or more pointers, to one or more content objects which have one or more metadata values that contain the specific search term; retrieving, from corresponding metadata value storage locations, the one or more metadata values associated with the one or more content objects and containing the specific search term; and returning to the client computer over the network via the search interface at least a metadata value of the one or more metadata values associated with the one or more content objects. 10. The computer program product of claim 8 , wherein the instructions, which when executed by the computer system, further perform retrieving all metadata values for each one of the plurality of content objects which have metadata values that contain the specific search term.
| 0.592647 |
8,924,414 | 1 | 9 |
1. A computer-implemented method for facilitating document retrieval in an electronic document management system, the method comprising the steps of: identifying, by at least one processor, one or more user-specific naming patterns in metadata created by a first user in connection with a plurality of documents that the first user has a first entitlement to access; recording, by at least one processor and in a storage medium, said identified one or more user-specific naming patterns in at least one of a naming patterns file (NPF), database, and lookup table with entries corresponding to said first user; and modifying, by at least one processor and based on the recorded user-specific naming patterns, at least a portion of the metadata created by the first user to improve searchability by other users, the modified metadata being available in a document query for one or more of the plurality of documents by a second user, the second user having a second entitlement that is equivalent or similar to the first entitlement such that the second user is entitled to access at least some of the plurality of documents.
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1. A computer-implemented method for facilitating document retrieval in an electronic document management system, the method comprising the steps of: identifying, by at least one processor, one or more user-specific naming patterns in metadata created by a first user in connection with a plurality of documents that the first user has a first entitlement to access; recording, by at least one processor and in a storage medium, said identified one or more user-specific naming patterns in at least one of a naming patterns file (NPF), database, and lookup table with entries corresponding to said first user; and modifying, by at least one processor and based on the recorded user-specific naming patterns, at least a portion of the metadata created by the first user to improve searchability by other users, the modified metadata being available in a document query for one or more of the plurality of documents by a second user, the second user having a second entitlement that is equivalent or similar to the first entitlement such that the second user is entitled to access at least some of the plurality of documents. 9. The method according to claim 1 , wherein the one or more identified patterns are recorded in a user-specific file associated with the first user.
| 0.780882 |
4,351,032 | 20 | 28 |
20. A frequency sensing circuit according to claim 14 wherein the means for clocking comprises means for clocking said multiplier at a rate of N times the desired frequency to be sensed where N is any integer greater than 1.
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20. A frequency sensing circuit according to claim 14 wherein the means for clocking comprises means for clocking said multiplier at a rate of N times the desired frequency to be sensed where N is any integer greater than 1. 28. A frequency sensing circuit according to claim 20 wherein said feedback circuit provides signals to said second input of said adder that are in phase with signals applied to its first input.
| 0.5 |
5,586,314 | 13 | 22 |
13. A method for developing software to operate a processor-based system which includes a plurality of cooperatively operative subsystem elements, using at least one computing apparatus, having at least one terminal, for enabling users to input data to said computing apparatus, comprising the steps of: inputting data using an icon-based language which displays icon representations of said subsystem elements for manipulation by said users on said terminal to define interrelationships of said plurality of subsystem elements that comprise said processor-based system; inputting data using a data modeling apparatus to define a set of logical attributes of said subsystem elements, said set of logical attributes independent of a physical implementation of said subsystem elements such that said data modeling apparatus provides a data-centered representation of said software; and translating said defined interrelationships of said subsystem elements and said set of logical attributes of said subsystem elements into a set of statements using an intermediate text non-source code language, incapable of being directly used to operate a processor, representative of said software required to operate said processor-based system.
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13. A method for developing software to operate a processor-based system which includes a plurality of cooperatively operative subsystem elements, using at least one computing apparatus, having at least one terminal, for enabling users to input data to said computing apparatus, comprising the steps of: inputting data using an icon-based language which displays icon representations of said subsystem elements for manipulation by said users on said terminal to define interrelationships of said plurality of subsystem elements that comprise said processor-based system; inputting data using a data modeling apparatus to define a set of logical attributes of said subsystem elements, said set of logical attributes independent of a physical implementation of said subsystem elements such that said data modeling apparatus provides a data-centered representation of said software; and translating said defined interrelationships of said subsystem elements and said set of logical attributes of said subsystem elements into a set of statements using an intermediate text non-source code language, incapable of being directly used to operate a processor, representative of said software required to operate said processor-based system. 22. The method of claim 13 wherein said intermediate text non-source code language comprises a language having context free grammar.
| 0.759124 |
6,083,123 | 6 | 7 |
6. An article of manufacture having machine-readable instructions executable by a digital processing apparatus to perform method steps for fitting a golf club, the method steps comprising: receiving machine readable input data from an input data source wherein said input data includes measurements of parameters for a plurality of swings of a single golf club; normalizing said input data to eliminate aberrant input data; choosing parameters; analyzing the interrelationship of at least two of said chosen parameters to determined inferences therefrom; and prescribing a golf club chemistry based upon said inferences.
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6. An article of manufacture having machine-readable instructions executable by a digital processing apparatus to perform method steps for fitting a golf club, the method steps comprising: receiving machine readable input data from an input data source wherein said input data includes measurements of parameters for a plurality of swings of a single golf club; normalizing said input data to eliminate aberrant input data; choosing parameters; analyzing the interrelationship of at least two of said chosen parameters to determined inferences therefrom; and prescribing a golf club chemistry based upon said inferences. 7. The article of manufacture recited in claim 6, the normalizing step comprising: selecting input data corresponding to each chosen parameter; determining a mean value for said selected input data; determining a standard deviation for said selected input data; comparing said selected input data to said mean value for said selected input data; and eliminating any selected input data that is not within said standard deviation of said mean value determined for said selected input data.
| 0.5 |
8,311,802 | 13 | 20 |
13. A non-transitory computer-readable storage medium storing instructions which, when executed on a processor, perform a method, the method comprising: receiving input text in the computing device to initiate a document creation process, the computing device including a first portion of font data for a first language, the first portion including less than all of the font data for the first language; based on the input text, determining whether the first portion is sufficient to create the document on the computing device; loading a second portion of the font data to the computing device from a data storage location if the first portion is not sufficient; and creating the document using at least one of the first portion and the second portion.
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13. A non-transitory computer-readable storage medium storing instructions which, when executed on a processor, perform a method, the method comprising: receiving input text in the computing device to initiate a document creation process, the computing device including a first portion of font data for a first language, the first portion including less than all of the font data for the first language; based on the input text, determining whether the first portion is sufficient to create the document on the computing device; loading a second portion of the font data to the computing device from a data storage location if the first portion is not sufficient; and creating the document using at least one of the first portion and the second portion. 20. The computer-readable storage medium of claim 13 , wherein the second portion corresponds to a second language.
| 0.744444 |
10,079,911 | 13 | 16 |
13. An apparatus comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to implement a community selection system for content analysis based automatic selection of user communities or groups of users, wherein the instructions cause the processor to: receive, by the community selection system from a client data processing system of a user, content authored by the user to be published; perform, by a content analysis engine executing within the community selection system, content analysis on the content to identify a context of the content; identify, by the community selection system, one or more social collaboration communities to which the user belongs using a user registry data structure; select, by the community selection system, a social collaboration community based on the identified one or more social collaboration communities to which the user belongs, the context of the content, and a community registry data structure of social collaboration communities; publish, by the community selection system, the content to a community server data processing system in the selected social collaboration community; receive, by the community selection system, feedback from the selected social collaboration community regarding the content; analyze, by a feedback analysis engine executing within the community selection system, the feedback; and determine, by the community selection system, whether to republish the content to a second social collaboration community within the community registry data structure based on results of analyzing the feedback.
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13. An apparatus comprising: a processor; and a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to implement a community selection system for content analysis based automatic selection of user communities or groups of users, wherein the instructions cause the processor to: receive, by the community selection system from a client data processing system of a user, content authored by the user to be published; perform, by a content analysis engine executing within the community selection system, content analysis on the content to identify a context of the content; identify, by the community selection system, one or more social collaboration communities to which the user belongs using a user registry data structure; select, by the community selection system, a social collaboration community based on the identified one or more social collaboration communities to which the user belongs, the context of the content, and a community registry data structure of social collaboration communities; publish, by the community selection system, the content to a community server data processing system in the selected social collaboration community; receive, by the community selection system, feedback from the selected social collaboration community regarding the content; analyze, by a feedback analysis engine executing within the community selection system, the feedback; and determine, by the community selection system, whether to republish the content to a second social collaboration community within the community registry data structure based on results of analyzing the feedback. 16. The apparatus of claim 13 , wherein the instructions further cause the processor to: determine whether to return the content to the user to edit based on results of analyzing the feedback.
| 0.5 |
7,647,325 | 16 | 17 |
16. A computer-implemented method as set forth in claim 14 wherein said verifying the correctness of the determined entity comprises contacting the entity.
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16. A computer-implemented method as set forth in claim 14 wherein said verifying the correctness of the determined entity comprises contacting the entity. 17. A computer-implemented method as set forth in claim 16 wherein said entity associated with the identified hardware device or software object comprises at least one of an owner, a producer, a developer, and an author of said identified hardware device or software object.
| 0.5 |
7,657,510 | 1 | 4 |
1. A system for retrieving a document, the system comprising: a computer system forming a node on a network and having a database of hierarchical electronic document versions, each document version being associated with a unique document instance, the computer system being programmed to generate print data representing a search form which carries a search instruction input field relating to at least one parameter of a search to be carried out within said database and a plurality of coded tags, each tag encoding a unique search form identifier and a location of that tag on the search form; a printer connected to the network for receiving the print data from the computer system to print the search form; and a sensing device for sensing the coded tags as the sensing device is used to handwrite at least one search terms on the search form, to generate data representing said unique search form identifier and the at least one search terms, the data representing the search term being generated from the locations of the tags, and to transmit the data to the computer system, via the printer and the network, the computer system being programmed to determine document instances from; said at least one search terms and parameter, to carry out a search within said database based on said at least one search terms and parameter, and to instruct the printer to print results of the search on a results form, the results form containing data representing document versions identified in the search and coded tags which, when sensed by the sensing device results in the document version associated with the sensed coded tag being printed.
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1. A system for retrieving a document, the system comprising: a computer system forming a node on a network and having a database of hierarchical electronic document versions, each document version being associated with a unique document instance, the computer system being programmed to generate print data representing a search form which carries a search instruction input field relating to at least one parameter of a search to be carried out within said database and a plurality of coded tags, each tag encoding a unique search form identifier and a location of that tag on the search form; a printer connected to the network for receiving the print data from the computer system to print the search form; and a sensing device for sensing the coded tags as the sensing device is used to handwrite at least one search terms on the search form, to generate data representing said unique search form identifier and the at least one search terms, the data representing the search term being generated from the locations of the tags, and to transmit the data to the computer system, via the printer and the network, the computer system being programmed to determine document instances from; said at least one search terms and parameter, to carry out a search within said database based on said at least one search terms and parameter, and to instruct the printer to print results of the search on a results form, the results form containing data representing document versions identified in the search and coded tags which, when sensed by the sensing device results in the document version associated with the sensed coded tag being printed. 4. A system as claimed in claim 1 , in which the computer system is programmed to print the results on a further form which carries information relating to the search results, a further search instruction input field, and coded tags which, when sensed by the sensing device results in a further search within said database and the printer printing the results of said further search.
| 0.637996 |
8,789,109 | 9 | 12 |
9. The method of claim 8 , wherein the performing a fuzzy logic inference operation includes performing the fuzzy logic operation based on predetermined rules and a preference received from the user with respect to each candidate favorite channel or candidate favorite program.
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9. The method of claim 8 , wherein the performing a fuzzy logic inference operation includes performing the fuzzy logic operation based on predetermined rules and a preference received from the user with respect to each candidate favorite channel or candidate favorite program. 12. The method of claim 9 , wherein the predetermined rules indicate an IF-THEN rule that is a sentence expressing a relationship between predetermined facts.
| 0.857143 |
4,430,726 | 3 | 4 |
3. A method of operating a dictation transcribing system characterized by the steps of: a. receiving voice dictation signals representing one or more spoken words from a dictation terminal, b. segmenting said dictation signals into time sequential voice dictation segments each consisting of one or more words, c. assigning and transmitting the first voice dictation segment from a dictation terminal to any one of a plurality of transcriber terminals, d. storing said assignment as an entry in an assignment table, e. assigning and transmitting subsequent voice dictation segments from said dictation terminal to a non-busy transcriber terminal assigned to said dictation terminal in accordance with the entry in said assignment table and when said assigned transcriber terminal is busy assigning and transmitting to an unassigned transcriber terminal which assignment is entered in said assignment table, f. transcribing voice dictation segments into transcription signals at the assigned transcriber terminal and g. assembling the transcription signals from the transcriber terminals according to the segment assignments.
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3. A method of operating a dictation transcribing system characterized by the steps of: a. receiving voice dictation signals representing one or more spoken words from a dictation terminal, b. segmenting said dictation signals into time sequential voice dictation segments each consisting of one or more words, c. assigning and transmitting the first voice dictation segment from a dictation terminal to any one of a plurality of transcriber terminals, d. storing said assignment as an entry in an assignment table, e. assigning and transmitting subsequent voice dictation segments from said dictation terminal to a non-busy transcriber terminal assigned to said dictation terminal in accordance with the entry in said assignment table and when said assigned transcriber terminal is busy assigning and transmitting to an unassigned transcriber terminal which assignment is entered in said assignment table, f. transcribing voice dictation segments into transcription signals at the assigned transcriber terminal and g. assembling the transcription signals from the transcriber terminals according to the segment assignments. 4. The method of claim 3 wherein said assigning step (c) includes the step of: assigning an unassigned transcriber terminal to a first voice dictation segment from a dictator terminal having no assigned transcriber terminal.
| 0.697297 |
7,596,594 | 1 | 6 |
1. A method for displaying an email conversation across folders comprising: grouping email messages into conversations, where the grouping is performed independent of folders in which the messages reside, thereby enabling conversations to span multiple folders; and displaying at least one of the conversations, the at least one of the conversations including a plurality of messages, where, for each of the plurality of messages in the at least one displayed conversation, a folder associated with each of the plurality of messages is identified, wherein grouping email messages into conversations comprises: determining from a subject line of an incoming message whether the incoming message is a follow-up message; in response to the incoming message not being a follow-up message, creating an open conversation based on the subject line of the incoming message and associating the incoming message with the created open conversation; in response to the incoming message being a follow-up message, normalizing the subject line of the incoming message and determining whether or not an open conversation exists for the normalized subject line; in response to an open conversation not existing for the normalized subject line, creating a new open conversation for the normalized subject line and associating the incoming message with the new open conversation; and in response to an open conversation existing for the normalized subject line, associating the incoming message with the existing open conversation, and wherein determining whether or not an open conversation exists for a normalized subject line comprises: in response to there being an open conversation corresponding to the normalized subject line, determining whether or not the a last-received message in the open conversation was received before a certain date; in response to determining that the last-received message was received before the certain date, closing the open conversation and determining that an open conversation does not exist for the normalized subject line; in response to determining that the last-received message was received after the certain date, comparing header information in the incoming message with header information in the last received message in the open conversation to determine whether similarities in the header information indicates the incoming message and the last-received message are related; in response to determining the incoming message and the last-received message in the open conversation are related, determining that an open conversation exists for the normalized subject line; and in response to determining that the incoming message and the last received message in the open conversation are not related, closing the open conversation and determining that an open conversation does not exist for the normalized subject line.
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1. A method for displaying an email conversation across folders comprising: grouping email messages into conversations, where the grouping is performed independent of folders in which the messages reside, thereby enabling conversations to span multiple folders; and displaying at least one of the conversations, the at least one of the conversations including a plurality of messages, where, for each of the plurality of messages in the at least one displayed conversation, a folder associated with each of the plurality of messages is identified, wherein grouping email messages into conversations comprises: determining from a subject line of an incoming message whether the incoming message is a follow-up message; in response to the incoming message not being a follow-up message, creating an open conversation based on the subject line of the incoming message and associating the incoming message with the created open conversation; in response to the incoming message being a follow-up message, normalizing the subject line of the incoming message and determining whether or not an open conversation exists for the normalized subject line; in response to an open conversation not existing for the normalized subject line, creating a new open conversation for the normalized subject line and associating the incoming message with the new open conversation; and in response to an open conversation existing for the normalized subject line, associating the incoming message with the existing open conversation, and wherein determining whether or not an open conversation exists for a normalized subject line comprises: in response to there being an open conversation corresponding to the normalized subject line, determining whether or not the a last-received message in the open conversation was received before a certain date; in response to determining that the last-received message was received before the certain date, closing the open conversation and determining that an open conversation does not exist for the normalized subject line; in response to determining that the last-received message was received after the certain date, comparing header information in the incoming message with header information in the last received message in the open conversation to determine whether similarities in the header information indicates the incoming message and the last-received message are related; in response to determining the incoming message and the last-received message in the open conversation are related, determining that an open conversation exists for the normalized subject line; and in response to determining that the incoming message and the last received message in the open conversation are not related, closing the open conversation and determining that an open conversation does not exist for the normalized subject line. 6. The method of claim 1 , wherein the display the at least one conversation includes all of the plurality of messages in the at least one conversation that satisfy a search query.
| 0.89547 |
9,177,344 | 5 | 6 |
5. The computer system of claim 1 , wherein identifying the additional one or more activity trend-related data items further comprises: for each particular data item of the data item cluster: determining a property value associated with the particular data item; based at least on the determined property value, determining the additional one or more activity trend-related data items having a similar property value.
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5. The computer system of claim 1 , wherein identifying the additional one or more activity trend-related data items further comprises: for each particular data item of the data item cluster: determining a property value associated with the particular data item; based at least on the determined property value, determining the additional one or more activity trend-related data items having a similar property value. 6. The computer system of claim 5 , wherein generating, by the cluster engine module, the data item cluster further comprises: determining a second property value associated with a particular additional data item of the additional one or more activity trend-related data items; based at least on the second property value, determining secondary additional activity trend-related data items having a similar property value; and adding the secondary additional activity trend-related data items to the cluster.
| 0.5 |
8,140,566 | 1 | 20 |
1. A method, comprising: adding, to a page, information items from an information feed that contains information about a particular entity; wherein adding information items from the information feed includes: displaying one or more content objects for selection by a user; receiving input that selects a selected content object from the one or more content objects; in response to the input that selects the selected content object, performing the steps of: determining that the selected content object is associated with the particular entity; determining one or more information sources that contain information about the particular entity; creating the information feed for the particular entity based, at least in part, on information items from the one or more information sources; modifying the page to cause the page to display one or more of the information items from the information feed; wherein the method is performed by one or more computing devices.
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1. A method, comprising: adding, to a page, information items from an information feed that contains information about a particular entity; wherein adding information items from the information feed includes: displaying one or more content objects for selection by a user; receiving input that selects a selected content object from the one or more content objects; in response to the input that selects the selected content object, performing the steps of: determining that the selected content object is associated with the particular entity; determining one or more information sources that contain information about the particular entity; creating the information feed for the particular entity based, at least in part, on information items from the one or more information sources; modifying the page to cause the page to display one or more of the information items from the information feed; wherein the method is performed by one or more computing devices. 20. The method of claim 1 , wherein the input that selects the selected content object is a spoken command from the user.
| 0.86674 |
9,229,692 | 15 | 20 |
15. A computer program product for processing proposed program code libraries in a networked computing environment comprising a computer readable storage media, and program instructions stored on the computer readable storage media, to: receive a set of annotations associated with a set of program code files in an integrated development environment (IDE), wherein the set of annotations include one or more conditions for replacing a program code library; receive a proposed program code library in the IDE; determine whether the proposed program code library is an excluded program code library based on the set of annotations; compute whether the proposed program code library meets one or more thresholds for replacing an existing program code library, the computing being based on at least one of: an attribute comparison and a micro-benchmarking analysis; and provide, responsive to the proposed program code library meeting the one or more thresholds, the proposed program code library to a computer device hosting the IDE.
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15. A computer program product for processing proposed program code libraries in a networked computing environment comprising a computer readable storage media, and program instructions stored on the computer readable storage media, to: receive a set of annotations associated with a set of program code files in an integrated development environment (IDE), wherein the set of annotations include one or more conditions for replacing a program code library; receive a proposed program code library in the IDE; determine whether the proposed program code library is an excluded program code library based on the set of annotations; compute whether the proposed program code library meets one or more thresholds for replacing an existing program code library, the computing being based on at least one of: an attribute comparison and a micro-benchmarking analysis; and provide, responsive to the proposed program code library meeting the one or more thresholds, the proposed program code library to a computer device hosting the IDE. 20. The computer program product of claim 15 , the computer readable storage media further comprising instructions to detect a tag indicating a need for the proposed program code library.
| 0.728986 |
9,304,984 | 12 | 17 |
12. A non-transitory computer-readable medium comprising instructions that when executed cause a system to: present an interactive interface that includes representations of a plurality of patterns including respective different syntaxes of intention phrases; receive user selection in the interactive interface of a selected pattern of the plurality of patterns; process textual data and extract plural intention statements according to the selected pattern within the textual data, wherein each respective intention statement of the plural intention statements includes a corresponding group of words or phrases expressing an intention of an author of the respective intention statement to perform an action; receive a query directed to the plural intention statements; identify intention statements of the plural intention statements that match the query; and output the identified intention statements that match the query.
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12. A non-transitory computer-readable medium comprising instructions that when executed cause a system to: present an interactive interface that includes representations of a plurality of patterns including respective different syntaxes of intention phrases; receive user selection in the interactive interface of a selected pattern of the plurality of patterns; process textual data and extract plural intention statements according to the selected pattern within the textual data, wherein each respective intention statement of the plural intention statements includes a corresponding group of words or phrases expressing an intention of an author of the respective intention statement to perform an action; receive a query directed to the plural intention statements; identify intention statements of the plural intention statements that match the query; and output the identified intention statements that match the query. 17. The non-transitory computer-readable medium of claim 12 , wherein a first syntax of intention phrases of a first pattern of the plurality of patterns includes an intention verb and an action verb, and a second syntax of intention phrases of a second pattern of the plurality of patterns includes an intention verb, a preposition, and an action verb, and wherein the received user selection of the selected pattern is a selection from the plurality of patterns comprising the first and second patterns.
| 0.5 |
8,868,549 | 1 | 6 |
1. A system, comprising: one or more computer devices configured to: obtain a set of one or more addresses, each address, in the set of one or more addresses, corresponding to a respective first document, the set of one or more addresses being selected or identified by a user; receive, after obtaining the set of one or more addresses, a search query from the user; obtain a set of references to second documents based on the search query, where each address, in the set of one or more addresses, is obtained independently of the set of references to the second documents and independently of the search query; determine whether a second document, of the second documents, is similar to the respective first document, corresponding to an address in the set of one or more addresses, based on: whether text from a body of the second document corresponds to a same topic as text associated with a body of the respective first document; include one of the references, corresponding to the second document, in a filtered set of references upon determining that the second document is similar to the respective first document; and present the filtered set of references to the user.
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1. A system, comprising: one or more computer devices configured to: obtain a set of one or more addresses, each address, in the set of one or more addresses, corresponding to a respective first document, the set of one or more addresses being selected or identified by a user; receive, after obtaining the set of one or more addresses, a search query from the user; obtain a set of references to second documents based on the search query, where each address, in the set of one or more addresses, is obtained independently of the set of references to the second documents and independently of the search query; determine whether a second document, of the second documents, is similar to the respective first document, corresponding to an address in the set of one or more addresses, based on: whether text from a body of the second document corresponds to a same topic as text associated with a body of the respective first document; include one of the references, corresponding to the second document, in a filtered set of references upon determining that the second document is similar to the respective first document; and present the filtered set of references to the user. 6. The system of claim 1 , where, when obtaining the set of one or more addresses, the one or more computer devices are configured to: present a hierarchical directory of category listings to the user, each of the category listings including an associated list of addresses, receive one or more selections of the category listings from the user, and include the associated list of addresses, corresponding to each of the one or more selections of the category listings, in the set of one or more addresses.
| 0.5 |
9,129,279 | 12 | 15 |
12. The system of claim 11 , wherein the interface routes information from a plurality of remote devices to the mini-app dialog component.
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12. The system of claim 11 , wherein the interface routes information from a plurality of remote devices to the mini-app dialog component. 15. The system of claim 12 , wherein the interface receives information from remote devices over a cellular network.
| 0.688172 |
9,892,110 | 9 | 14 |
9. A system comprising: a corpus module configured to receive text from a plurality of documents; a text selection module configured to, for each document of the plurality of documents, segment the received text of the particular document of the plurality of documents to create a set of segments, each segment including two or more words; for each of at least a subset of the segments of the set of segments: calculate a document frequency statistic indicating a frequency of a particular segment of the at least a subset of the segments within the particular document of the plurality of documents, compare the document frequency statistic indicating the frequency of the particular segment within the particular document to a frequency threshold, and determine if the particular segment is a segment of potential interest of the at least the subset of the segments of the set of segments based on the comparison of the document frequency statistic of the particular segment indicating the frequency of the particular segment within the particular document to the frequency threshold; a distance module configured to calculate a distance between the particular document of the plurality of documents and each of the other documents of the plurality of documents using a text metric; a search database configured to store the received text, the segments of potential interest of each document, the distances, and the document frequency statistics; a search module configured to receive a search query and perform a search on the received text of the plurality of documents to generate search results, the search results including at least a subset of documents of the plurality of documents; a partition module configured to: divide the at least the subset of the documents of the plurality of documents of the search results between a first set and a guide set, for each of the documents of the first set, determine a closest document of the guide set using the distances for that particular document to create partitions of documents, and for each partition of documents: retrieve the document frequency statistics of each segment of potential interest of each document in the particular partition of documents, and select a predetermined number of segments of potential interest of the documents in the particular partition of documents based on a highest frequency statistic of the retrieved document frequency statistics; and a label module configured to: for each partition, determine a label for that particular partition of documents including at least one of the predetermined number of segments of potential interest of the documents in that particular partition of documents, and provide the labels for each partition for display.
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9. A system comprising: a corpus module configured to receive text from a plurality of documents; a text selection module configured to, for each document of the plurality of documents, segment the received text of the particular document of the plurality of documents to create a set of segments, each segment including two or more words; for each of at least a subset of the segments of the set of segments: calculate a document frequency statistic indicating a frequency of a particular segment of the at least a subset of the segments within the particular document of the plurality of documents, compare the document frequency statistic indicating the frequency of the particular segment within the particular document to a frequency threshold, and determine if the particular segment is a segment of potential interest of the at least the subset of the segments of the set of segments based on the comparison of the document frequency statistic of the particular segment indicating the frequency of the particular segment within the particular document to the frequency threshold; a distance module configured to calculate a distance between the particular document of the plurality of documents and each of the other documents of the plurality of documents using a text metric; a search database configured to store the received text, the segments of potential interest of each document, the distances, and the document frequency statistics; a search module configured to receive a search query and perform a search on the received text of the plurality of documents to generate search results, the search results including at least a subset of documents of the plurality of documents; a partition module configured to: divide the at least the subset of the documents of the plurality of documents of the search results between a first set and a guide set, for each of the documents of the first set, determine a closest document of the guide set using the distances for that particular document to create partitions of documents, and for each partition of documents: retrieve the document frequency statistics of each segment of potential interest of each document in the particular partition of documents, and select a predetermined number of segments of potential interest of the documents in the particular partition of documents based on a highest frequency statistic of the retrieved document frequency statistics; and a label module configured to: for each partition, determine a label for that particular partition of documents including at least one of the predetermined number of segments of potential interest of the documents in that particular partition of documents, and provide the labels for each partition for display. 14. The system of claim 9 wherein the distance is a result of applying a cosine term frequency-inverse document frequency (tf-idf).
| 0.897013 |
8,688,366 | 1 | 7 |
1. A computer implemented method of operating a navigation system to provide geographic location information, the method comprising: receiving a text string query for only a child geographic location; providing a plurality of candidate geographic locations for the child geographic location from a geographic database; receiving a selection of one of the candidate geographic locations from a user; recording the candidate geographic location that was selected in a use history database; increasing, using a processor, a usage pattern weight for the candidate geographic location that was selected; and increasing, using the processor, a usage pattern weight for a parent geographic feature that includes the child geographic location from the text string query, wherein the parent geographic feature is a composite geographic feature that includes other geographic features.
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1. A computer implemented method of operating a navigation system to provide geographic location information, the method comprising: receiving a text string query for only a child geographic location; providing a plurality of candidate geographic locations for the child geographic location from a geographic database; receiving a selection of one of the candidate geographic locations from a user; recording the candidate geographic location that was selected in a use history database; increasing, using a processor, a usage pattern weight for the candidate geographic location that was selected; and increasing, using the processor, a usage pattern weight for a parent geographic feature that includes the child geographic location from the text string query, wherein the parent geographic feature is a composite geographic feature that includes other geographic features. 7. The method of claim 1 further comprising: applying a time fade out to reduce the usage pattern weight.
| 0.866071 |
9,817,892 | 3 | 4 |
3. The method of claim 1 , wherein applying the at least one private information rule to the transcript comprises identifying the affiliated words found in the transcript and stringing the affiliated words into word strings that include indifferent words and additional words that are within the word tolerance.
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3. The method of claim 1 , wherein applying the at least one private information rule to the transcript comprises identifying the affiliated words found in the transcript and stringing the affiliated words into word strings that include indifferent words and additional words that are within the word tolerance. 4. The method of claim 3 further comprising analyzing the identified stings such that any left, internal, or right markers are identified and such that no inhibited words exist in possible private information.
| 0.5 |
8,825,486 | 1 | 6 |
1. A method for use with a speech-enabled application, the method comprising: receiving, from the speech-enabled application, input comprising a plurality of text strings; identifying a first portion of a first text string of the plurality of text strings as differing from a corresponding first portion of a second text string of the plurality of text strings, and a second portion of the first text string as not differing from a corresponding second portion of the second text string; assigning contrastive stress to the first portion of the first text string and/or to the corresponding first portion of the second text string, but not to the second portion of the first text string, and not to the corresponding second portion of the second text string; generating, using at least one computer system, speech synthesis output to render the plurality of text strings as speech having the assigned contrastive stress; and providing the speech synthesis output for the speech-enabled application.
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1. A method for use with a speech-enabled application, the method comprising: receiving, from the speech-enabled application, input comprising a plurality of text strings; identifying a first portion of a first text string of the plurality of text strings as differing from a corresponding first portion of a second text string of the plurality of text strings, and a second portion of the first text string as not differing from a corresponding second portion of the second text string; assigning contrastive stress to the first portion of the first text string and/or to the corresponding first portion of the second text string, but not to the second portion of the first text string, and not to the corresponding second portion of the second text string; generating, using at least one computer system, speech synthesis output to render the plurality of text strings as speech having the assigned contrastive stress; and providing the speech synthesis output for the speech-enabled application. 6. The method of claim 1 , wherein the speech synthesis output comprises identification of a plurality of audio recordings to render the plurality of text strings as speech, at least one of the plurality of audio recordings being selected to render the first portion of the first text string and/or the first portion of the second text string as speech carrying contrastive stress.
| 0.5 |
8,311,999 | 4 | 5 |
4. The method according to claim 1 , wherein submitting the query to one or more knowledge bases comprises submitting the query to a knowledge search engine and automatically formatting the query to be compatible with the knowledge search engine.
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4. The method according to claim 1 , wherein submitting the query to one or more knowledge bases comprises submitting the query to a knowledge search engine and automatically formatting the query to be compatible with the knowledge search engine. 5. The method according to claim 4 , including formatting the query as either a natural language query or a keyword query.
| 0.693467 |
9,082,406 | 21 | 23 |
21. The dialog system of claim 1 , wherein: the nodes are hierarchically organized in the dialog move tree, and for each of at least a subset of the nodes of the dialog move tree, dialog manager determines to which of plurality of dialog moves represented by nodes previously added to the dialog move tree the respective node relates, and adds the respective node as a child of the determined node.
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21. The dialog system of claim 1 , wherein: the nodes are hierarchically organized in the dialog move tree, and for each of at least a subset of the nodes of the dialog move tree, dialog manager determines to which of plurality of dialog moves represented by nodes previously added to the dialog move tree the respective node relates, and adds the respective node as a child of the determined node. 23. The dialog system of claim 21 , wherein the dialog manager determines that a node is related as a child to another node by determining that a dialog move to which the node corresponds is provided as a response to a dialog move to which the another node corresponds.
| 0.5 |
9,378,293 | 13 | 19 |
13. The system of claim 12 , wherein the output page comprises an HTML page.
|
13. The system of claim 12 , wherein the output page comprises an HTML page. 19. The system of claim 13 , wherein the results markup language schema comprises an XML schema.
| 0.5 |
10,157,226 | 15 | 16 |
15. A method, comprising: receiving, by a device, training data and an ontology for the training data, the training data including information associated with a subject of the ontology, and the ontology including: classes, and properties; generating, by the device, a knowledge graph based on the training data and the ontology; converting, by the device, the knowledge graph into knowledge graph embeddings, the knowledge graph embeddings including points in a k-dimensional metric space; receiving, by the device, additional ontology information; identifying, by the device, a new entity in the additional ontology information that is not present in the knowledge graph embeddings; generating, by the device, revised knowledge graph embeddings that include a new embedding for the new entity based on: a first average quantity of entities that are related to the knowledge graph and the new entity, and a second average quantity of entities that are related to the new entity and are not related to the knowledge graph; and utilizing, by the device, the revised knowledge graph embeddings to perform an action.
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15. A method, comprising: receiving, by a device, training data and an ontology for the training data, the training data including information associated with a subject of the ontology, and the ontology including: classes, and properties; generating, by the device, a knowledge graph based on the training data and the ontology; converting, by the device, the knowledge graph into knowledge graph embeddings, the knowledge graph embeddings including points in a k-dimensional metric space; receiving, by the device, additional ontology information; identifying, by the device, a new entity in the additional ontology information that is not present in the knowledge graph embeddings; generating, by the device, revised knowledge graph embeddings that include a new embedding for the new entity based on: a first average quantity of entities that are related to the knowledge graph and the new entity, and a second average quantity of entities that are related to the new entity and are not related to the knowledge graph; and utilizing, by the device, the revised knowledge graph embeddings to perform an action. 16. The method of claim 15 , further comprising: utilizing a schema matching technique to determine semantic correspondences between the training data and the ontology; and where generating the knowledge graph comprises: generating the knowledge graph based on utilizing the schema matching technique.
| 0.674242 |
9,747,460 | 2 | 4 |
2. The method of claim 1 , further comprising: the at least one computer processor verifying that transmission of the electronic document is authorized; the at least one computer processor verifying that a device that provided the identification of the electronic document to be sent, the identification of a sender, and the identification of a receiver to the electronic document management system is authorized to request that the electronic document be sent; and the at least one computer processor verifying that the receiving device is authorized to receive the electronic document.
|
2. The method of claim 1 , further comprising: the at least one computer processor verifying that transmission of the electronic document is authorized; the at least one computer processor verifying that a device that provided the identification of the electronic document to be sent, the identification of a sender, and the identification of a receiver to the electronic document management system is authorized to request that the electronic document be sent; and the at least one computer processor verifying that the receiving device is authorized to receive the electronic document. 4. The method of claim 2 , wherein the step of verifying that transmission of the electronic document is authorized is based on at least one of a size of the electronic document, a type of the electronic document, a level of security for the electronic document, and a physical location of the electronic document.
| 0.5 |
8,432,368 | 41 | 52 |
41. A computing device, comprising: force sensing means for sensing a force applied to a case of the computing device; means for receiving an electrical signal from the force sensing means; means for comparing the received electrical signal to each of a plurality of reference signal templates; means for calculating cross-correlation values of the received electrical signal and each of the plurality of reference signal templates; means for determining a best match reference signal template for the received electrical signal based on the cross-correlation values; means for identifying a functionality associated with the best match reference signal template; and means for implementing the identified functionality on the computing device.
|
41. A computing device, comprising: force sensing means for sensing a force applied to a case of the computing device; means for receiving an electrical signal from the force sensing means; means for comparing the received electrical signal to each of a plurality of reference signal templates; means for calculating cross-correlation values of the received electrical signal and each of the plurality of reference signal templates; means for determining a best match reference signal template for the received electrical signal based on the cross-correlation values; means for identifying a functionality associated with the best match reference signal template; and means for implementing the identified functionality on the computing device. 52. The computing device of claim 41 , further comprising: means for receiving a user identified functionality to be associated with a user input gesture; means for prompting the user to perform the user input gesture; means for receiving electrical signals from the force sensing means; means for processing the received electrical signals from the force sensing means in order to generate a user-generated reference signal template; and means for storing the user-generated reference signal template in memory in conjunction with the received user identified functionality.
| 0.552181 |
8,024,191 | 1 | 4 |
1. The method for recognizing speech, the method comprising: receiving, via a processor, an input speech having at least one pre-vocalic consonant or at least one post-vocalic consonant; generating at least one output lattice that calculates a first score by comparing the input speech to a training model to provide a result; distinguishing between the at least one pre-vocalic consonant and the at least one post-vocalic consonant in the input speech; calculating a second score by measuring a similarity between the at least one pre-vocalic consonant or the at least one post-vocalic consonant in the input speech and the first score; determining at least one category for at least one pre-vocalic match or mismatch or at least one post-vocalic match or mismatch by using the second score; and refining the results of the an automated speech recognition system by using the at least one category for at least one pre-vocalic match or mismatch or at least one post-vocalic match or mismatch.
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1. The method for recognizing speech, the method comprising: receiving, via a processor, an input speech having at least one pre-vocalic consonant or at least one post-vocalic consonant; generating at least one output lattice that calculates a first score by comparing the input speech to a training model to provide a result; distinguishing between the at least one pre-vocalic consonant and the at least one post-vocalic consonant in the input speech; calculating a second score by measuring a similarity between the at least one pre-vocalic consonant or the at least one post-vocalic consonant in the input speech and the first score; determining at least one category for at least one pre-vocalic match or mismatch or at least one post-vocalic match or mismatch by using the second score; and refining the results of the an automated speech recognition system by using the at least one category for at least one pre-vocalic match or mismatch or at least one post-vocalic match or mismatch. 4. The method of claim 1 , wherein if there is a mismatch between the second output lattice and the second score, a word probability is decreased.
| 0.712598 |
7,974,989 | 12 | 14 |
12. The computerized method according to claim 1 , further comprises: combining scores is performed using an optimization method.
|
12. The computerized method according to claim 1 , further comprises: combining scores is performed using an optimization method. 14. The computerized method according to claim 12 , wherein combing the scores further comprising: generating a combined score of a key term by summing the multiplication of the scores of the respective key terms retrieved from the keyword suggestion sources with weights, wherein the weights are constrained to be non-negative and the constraint is solved using the optimization method.
| 0.5 |
8,504,381 | 1 | 11 |
1. A system for collaborative review of a clinical content structure, the system comprising: a server configured to display a first default clinical content structure provided by an information provider to a first set of users of a first authoring environment for reviewing and modifying the first default clinical content structure, wherein the clinical content structure comprises a set of one or more evidence-based options that are selectable by a clinician during patient care and the first authoring environment operates on a first set of one or more programmed computers associated with a first protocol; a server configured to display the first default clinical content structure to a second set of users of a second authoring environment for reviewing and modifying the first default clinical content structure, wherein the second authoring environment operates on a second set of one or more programmed computers associated with a second protocol, the first set of one or more programmed computers and the second set of one or more programmed computers are communicatively coupled to a server via a network, and the first protocol and the second protocol are different; a server configured to enable the first set of users and the second set of users to collaboratively input modification data associated with the first default clinical content structure by granting the first set of users access to the first authoring environment and granting the second set of users access to the second authoring environment; a server configured to modify the first default clinical content structure based on the modification data received from the first set of users of the first authoring environment and the second set of users of the second authoring environment to create a modified clinical content structure; a server configured to store a first plurality of data translation rules associated with the first authoring environment, wherein each data translation rule of the first plurality of data translation rules maps at least one term associated with the first authoring environment to one or more terms of one or more standard term libraries; a server configured to store a second plurality of data translation rules associated with the second authoring environment, wherein each data translation rule of the second plurality of data translation rules maps at least one term associated with the second authoring environment to one or more terms of the one or more standard term libraries; a server configured to automatically translate the modified clinical content structure into a first standard structure using the first plurality of data translation rules; a server configured to automatically translate the modified clinical content structure into a second standard structure using the second plurality of data translation rules; a server configured to convert the first standard structure into a first export structure that is executable by the first protocol of the first set of one or more programmed computers; a server configured to convert the second standard structure into a second export structure that is executable by the second protocol of the second set of one or more programmed computers; a server configured to transmit the first export structure to the first set of one or more programmed computers and the second export structure to the second set of one or more programmed computers; a server configured to identify a second default clinical content structure that comprises an updated version of the first default clinical content structure; and a server configured to provide the second default clinical content structure to the first set of users of the first authoring environment and the second set of users of the second authoring environment, wherein the first set of users and the second set of users are enabled to use the second default clinical content structure.
|
1. A system for collaborative review of a clinical content structure, the system comprising: a server configured to display a first default clinical content structure provided by an information provider to a first set of users of a first authoring environment for reviewing and modifying the first default clinical content structure, wherein the clinical content structure comprises a set of one or more evidence-based options that are selectable by a clinician during patient care and the first authoring environment operates on a first set of one or more programmed computers associated with a first protocol; a server configured to display the first default clinical content structure to a second set of users of a second authoring environment for reviewing and modifying the first default clinical content structure, wherein the second authoring environment operates on a second set of one or more programmed computers associated with a second protocol, the first set of one or more programmed computers and the second set of one or more programmed computers are communicatively coupled to a server via a network, and the first protocol and the second protocol are different; a server configured to enable the first set of users and the second set of users to collaboratively input modification data associated with the first default clinical content structure by granting the first set of users access to the first authoring environment and granting the second set of users access to the second authoring environment; a server configured to modify the first default clinical content structure based on the modification data received from the first set of users of the first authoring environment and the second set of users of the second authoring environment to create a modified clinical content structure; a server configured to store a first plurality of data translation rules associated with the first authoring environment, wherein each data translation rule of the first plurality of data translation rules maps at least one term associated with the first authoring environment to one or more terms of one or more standard term libraries; a server configured to store a second plurality of data translation rules associated with the second authoring environment, wherein each data translation rule of the second plurality of data translation rules maps at least one term associated with the second authoring environment to one or more terms of the one or more standard term libraries; a server configured to automatically translate the modified clinical content structure into a first standard structure using the first plurality of data translation rules; a server configured to automatically translate the modified clinical content structure into a second standard structure using the second plurality of data translation rules; a server configured to convert the first standard structure into a first export structure that is executable by the first protocol of the first set of one or more programmed computers; a server configured to convert the second standard structure into a second export structure that is executable by the second protocol of the second set of one or more programmed computers; a server configured to transmit the first export structure to the first set of one or more programmed computers and the second export structure to the second set of one or more programmed computers; a server configured to identify a second default clinical content structure that comprises an updated version of the first default clinical content structure; and a server configured to provide the second default clinical content structure to the first set of users of the first authoring environment and the second set of users of the second authoring environment, wherein the first set of users and the second set of users are enabled to use the second default clinical content structure. 11. The system of claim 1 wherein a user's access includes content rights.
| 0.853175 |
8,630,855 | 5 | 13 |
5. A computer system for operating a voice domain name network for use over a telephone network including: a voice domain computer having voice recognition capability to take a call from a first caller over telephone network and to recognize a name spoken in the call; a database connected to said computer, said database containing a plurality of voice domain names wherein each voice domain name in said database includes a corresponding Internet URL and telephone number associated with a registrant of the Internet URL, wherein the voice domain names in said database are entered into the database from voice information; a search engine configured to search for a specific voice domain name in the plurality of voice domain names and to search the Internet for an Internet URL in response to the call and to perform a telephone routine to connect the call to the telephone number associated with the registrant; means for offering to register the Internet URL by voice through the telephone network if said search engine fails to find the specific voice domain; means for generating a voice offer over the telephone network to register the Internet URL for the first caller if the Internet URL is found to be unregistered on the Internet and then registering the Internet URL as a domain name on the Internet and as the specific voice domain name in said database.
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5. A computer system for operating a voice domain name network for use over a telephone network including: a voice domain computer having voice recognition capability to take a call from a first caller over telephone network and to recognize a name spoken in the call; a database connected to said computer, said database containing a plurality of voice domain names wherein each voice domain name in said database includes a corresponding Internet URL and telephone number associated with a registrant of the Internet URL, wherein the voice domain names in said database are entered into the database from voice information; a search engine configured to search for a specific voice domain name in the plurality of voice domain names and to search the Internet for an Internet URL in response to the call and to perform a telephone routine to connect the call to the telephone number associated with the registrant; means for offering to register the Internet URL by voice through the telephone network if said search engine fails to find the specific voice domain; means for generating a voice offer over the telephone network to register the Internet URL for the first caller if the Internet URL is found to be unregistered on the Internet and then registering the Internet URL as a domain name on the Internet and as the specific voice domain name in said database. 13. The system of claim 5 , further comprising means for connecting the first caller to a live operator.
| 0.808118 |
8,762,317 | 13 | 18 |
13. A computer-implemented method comprising: pseudo-localizing, using a computing device, one or more resources to generate pseudo-localized versions of the one or more resources, wherein pseudo-localizing a resource comprises applying an algorithm to the resource that determines a form, structure, and/or appearance of the resource upon localization; applying a rule to the one or more pseudo-localized versions to detect a variation from the rule in the one or more pseudo-localized versions, the rule having one or more conditions; detecting a pattern associated with the multiple resources; and determining a pattern variation across the one or more pseudo-localized versions of the multiple resources.
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13. A computer-implemented method comprising: pseudo-localizing, using a computing device, one or more resources to generate pseudo-localized versions of the one or more resources, wherein pseudo-localizing a resource comprises applying an algorithm to the resource that determines a form, structure, and/or appearance of the resource upon localization; applying a rule to the one or more pseudo-localized versions to detect a variation from the rule in the one or more pseudo-localized versions, the rule having one or more conditions; detecting a pattern associated with the multiple resources; and determining a pattern variation across the one or more pseudo-localized versions of the multiple resources. 18. The computer-implemented method of claim 13 , further comprising outputting the pseudo-localized versions and an explanation of the variation from the rule in the one or more pseudo-localized versions.
| 0.745658 |
9,652,688 | 1 | 5 |
1. A method comprising: selecting, by a processor implementing a first classifier, a first template object based on a first plurality of visual features after the first plurality of visual features were extracted by a first visual feature extractor based on an image of the selected object, the selected object being an instance of a particular template object of a plurality of template objects; selecting, by the processor implementing a second classifier, a second template object based on a second plurality of visual features after the second plurality of visual features were extracted by a second visual feature extractor based on the image of the selected object; selecting, by the processor implementing a third classifier, a third template object based on a visual word count vector that represents counts of visual words after the visual word count vector was determined by a visual word count vector algorithm based on the image of the selected object; and classifying the selected object as an instance of the particular template object based on said selecting of the first template object, said selecting of the second template object, and said selecting of the third template object, wherein said classifying the selected object as the instance of the particular template object includes: when the first template object, the second template object, and the third template object are all a same single template object, classifying the selected object as the instance of the particular template object, wherein the same single template object is the particular template object; and when the first template object, the second template object, and the third template object are not all a same single template object, classifying the selected object as the instance of the particular template object based on results of comparisons of the selected object with the first template object, the second template object, and the third template object, the results indicating that the selected object matches the particular template object.
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1. A method comprising: selecting, by a processor implementing a first classifier, a first template object based on a first plurality of visual features after the first plurality of visual features were extracted by a first visual feature extractor based on an image of the selected object, the selected object being an instance of a particular template object of a plurality of template objects; selecting, by the processor implementing a second classifier, a second template object based on a second plurality of visual features after the second plurality of visual features were extracted by a second visual feature extractor based on the image of the selected object; selecting, by the processor implementing a third classifier, a third template object based on a visual word count vector that represents counts of visual words after the visual word count vector was determined by a visual word count vector algorithm based on the image of the selected object; and classifying the selected object as an instance of the particular template object based on said selecting of the first template object, said selecting of the second template object, and said selecting of the third template object, wherein said classifying the selected object as the instance of the particular template object includes: when the first template object, the second template object, and the third template object are all a same single template object, classifying the selected object as the instance of the particular template object, wherein the same single template object is the particular template object; and when the first template object, the second template object, and the third template object are not all a same single template object, classifying the selected object as the instance of the particular template object based on results of comparisons of the selected object with the first template object, the second template object, and the third template object, the results indicating that the selected object matches the particular template object. 5. The method of claim 1 , wherein the plurality of template objects include any of: a paper form, a license plate of a motor vehicle, or an official government document.
| 0.859272 |
8,626,930 | 51 | 52 |
51. The method as in claim 50 , wherein the presenting is in response to receiving data relating to a web page.
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51. The method as in claim 50 , wherein the presenting is in response to receiving data relating to a web page. 52. The method as in claim 51 , wherein the training mode comprises modifying parameters of the latent semantic mapping filter.
| 0.5 |
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