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8,539,024 | 32 | 34 | 32. A system including at least one computer comprising: a server system using a communication protocol that enables asynchronous communication between the server system and a client object; and wherein the client object that, while a user is providing input comprising a lengthening string of characters, sends query messages to the server system; whereby the query messages represent the lengthening string as additional characters are being input by the user; and wherein the server system, while receiving said query messages, uses the input to query data available to the server system and send return messages to the client object containing results in response to the input wherein upon receiving corresponding return messages from the server system, the client object tests the usability of each return message by checking that the return message corresponds to the latest query, and if usability is established, provides feedback to the user based on the contents of the return message. | 32. A system including at least one computer comprising: a server system using a communication protocol that enables asynchronous communication between the server system and a client object; and wherein the client object that, while a user is providing input comprising a lengthening string of characters, sends query messages to the server system; whereby the query messages represent the lengthening string as additional characters are being input by the user; and wherein the server system, while receiving said query messages, uses the input to query data available to the server system and send return messages to the client object containing results in response to the input wherein upon receiving corresponding return messages from the server system, the client object tests the usability of each return message by checking that the return message corresponds to the latest query, and if usability is established, provides feedback to the user based on the contents of the return message. 34. The system of claim 32 , wherein the client object is run on a mobile device. | 0.935816 |
10,162,823 | 12 | 17 | 12. A computer-implemented method, comprising: identifying, by a system of one or more computers, a communication sent to the user from an entity that is in addition to the user; determining, by the system, a contact information change measure for the communication, wherein determining the contact information change measure is based on content of the communication and wherein the contact information change measure is indicative of likelihood of recent change to contact information for the entity that sent the communication; analyzing text of the communication by the system to identify contact information in the communication; and modifying, by the system and based on the contact information change measure, a contact entry, of the entity that sent the communication, in an electronic database of contact entries of the user, the modifying the contact entry comprising associating one or more properties of the contact entry with one or more corresponding aspects of the contact information identified in the communication; receiving a query entered by the user at a client device of the user; determining the contact entry of the entity is responsive to the query based on matching the query to at least one of the corresponding aspects associated with the one or more properties of the contact entry; and providing information from the contact entry of the entity for presentation at the given client computing device in response to the query. | 12. A computer-implemented method, comprising: identifying, by a system of one or more computers, a communication sent to the user from an entity that is in addition to the user; determining, by the system, a contact information change measure for the communication, wherein determining the contact information change measure is based on content of the communication and wherein the contact information change measure is indicative of likelihood of recent change to contact information for the entity that sent the communication; analyzing text of the communication by the system to identify contact information in the communication; and modifying, by the system and based on the contact information change measure, a contact entry, of the entity that sent the communication, in an electronic database of contact entries of the user, the modifying the contact entry comprising associating one or more properties of the contact entry with one or more corresponding aspects of the contact information identified in the communication; receiving a query entered by the user at a client device of the user; determining the contact entry of the entity is responsive to the query based on matching the query to at least one of the corresponding aspects associated with the one or more properties of the contact entry; and providing information from the contact entry of the entity for presentation at the given client computing device in response to the query. 17. The computer-implemented method of claim 12 , wherein determining the contact information change measure is based at least in part on: the quantity of recipients of the communication; and presence of one or more contact information change terms in the text of the communication. | 0.654412 |
7,519,528 | 9 | 18 | 9. A method for building concept knowledge in a computer system from a machine-readable dictionary for use by a search engine to facilitate quick and accurate information retrieval, the machine-readable dictionary including a plurality of words in a first language and a plurality of corresponding translated words in a second language, and a plurality of words in the second language and a plurality of corresponding translated words in the first language, said method comprising steps of: providing a seed word in the first language; forward-translating said seed word to obtain a plurality of translated words corresponding to said seed word by looking up said machine-readable dictionary; backward-translating said translated words to obtain a plurality of translated words in the first language corresponding to each of said plurality of translated words obtained by said step of forward-translating respectively, as words of the concept knowledge, by looking up said machine-readable dictionary; storing synonymous words of each translated word in said first language and in said second language; calculating frequency of each translated word in said first language and in said second language; ranking said translated words based on said stored synonymous words and said calculated frequency; presenting said ranked words to a user for allowing the user to select desired words among said ranked words and to delete irrelevant words among said ranked words; and providing the selected desired words to said search engine to perform information retrieval on a knowledge-based level instead of a keyword-based level. | 9. A method for building concept knowledge in a computer system from a machine-readable dictionary for use by a search engine to facilitate quick and accurate information retrieval, the machine-readable dictionary including a plurality of words in a first language and a plurality of corresponding translated words in a second language, and a plurality of words in the second language and a plurality of corresponding translated words in the first language, said method comprising steps of: providing a seed word in the first language; forward-translating said seed word to obtain a plurality of translated words corresponding to said seed word by looking up said machine-readable dictionary; backward-translating said translated words to obtain a plurality of translated words in the first language corresponding to each of said plurality of translated words obtained by said step of forward-translating respectively, as words of the concept knowledge, by looking up said machine-readable dictionary; storing synonymous words of each translated word in said first language and in said second language; calculating frequency of each translated word in said first language and in said second language; ranking said translated words based on said stored synonymous words and said calculated frequency; presenting said ranked words to a user for allowing the user to select desired words among said ranked words and to delete irrelevant words among said ranked words; and providing the selected desired words to said search engine to perform information retrieval on a knowledge-based level instead of a keyword-based level. 18. The method for building concept knowledge in a computer system from a machine-readable dictionary for use by a search engine in accordance with claim 9 , wherein said seed word is provided from another computer system via a network. | 0.854141 |
9,058,067 | 1 | 5 | 1. A pen-based computing system for digitally capturing content from a printed document comprising one or more pages of printed data, the printed document associated with a document identifier, the system comprising: a digital bookclip comprising a physical material encoded with a pattern, the physical material distinct from the printed document; a smart pen device comprising: an imaging system configured to capture an interaction of the smart pen device with the digital bookclip by reading the encoded pattern of the digital bookclip, the smart pen device capturing a beginning location on the digital bookclip corresponding to a beginning of the interaction and an end location on the digital bookclip corresponding to an end of the interaction; a database storing a digital representation of the printed document; and a memory storing computer program code configured to be executed by a processor coupled to the smart pen device, the computer program code including instructions for: accessing the digital representation of the printed document from the database using the document identifier, determining a vertical or horizontal orientation of the digital bookclip with respect to the printed document; receiving the captured beginning and end locations corresponding to the interaction of the smart pen with the digital bookclip; identifying a selected first portion of the digital representation of the printed document based on the determined orientation of the digital bookclip with respect to the printed document and the beginning location and the end location of the digital bookclip captured when the digital bookclip is aligned with the printed document; and retrieving the portion of the digital representation of the printed document. | 1. A pen-based computing system for digitally capturing content from a printed document comprising one or more pages of printed data, the printed document associated with a document identifier, the system comprising: a digital bookclip comprising a physical material encoded with a pattern, the physical material distinct from the printed document; a smart pen device comprising: an imaging system configured to capture an interaction of the smart pen device with the digital bookclip by reading the encoded pattern of the digital bookclip, the smart pen device capturing a beginning location on the digital bookclip corresponding to a beginning of the interaction and an end location on the digital bookclip corresponding to an end of the interaction; a database storing a digital representation of the printed document; and a memory storing computer program code configured to be executed by a processor coupled to the smart pen device, the computer program code including instructions for: accessing the digital representation of the printed document from the database using the document identifier, determining a vertical or horizontal orientation of the digital bookclip with respect to the printed document; receiving the captured beginning and end locations corresponding to the interaction of the smart pen with the digital bookclip; identifying a selected first portion of the digital representation of the printed document based on the determined orientation of the digital bookclip with respect to the printed document and the beginning location and the end location of the digital bookclip captured when the digital bookclip is aligned with the printed document; and retrieving the portion of the digital representation of the printed document. 5. The pen-based computing system of claim 1 , wherein the digital bookclip is aligned to a page of the printed document. | 0.898319 |
9,015,160 | 1 | 4 | 1. A system, comprising: one or more memory units; and one or more processing units operable to: access text; identify a plurality of terms from the text; determine a plurality of term vectors associated with the identified plurality of terms; calculate a weight of each of the determined plurality of term vectors; cluster the determined plurality of term vectors into a plurality of clusters, the plurality of clusters comprising a first cluster related to a first concept of the text and a second cluster related to a second concept of the text, the first concept being distinct from the second concept, the first and second clusters each comprising two or more of the determined term vectors, the clustering comprising grouping two or more of the determined term vectors together based on the determined weights of the two or more term vectors and a distance between the two or more term vectors; create a first pseudo-document according to the first cluster; create a second pseudo-document according to the second cluster; identify, using latent semantic analysis (LSA) of the first pseudo-document, a first set of terms associated with the first cluster; identify, using LSA of the second pseudo-document, a second set of terms associated with the second cluster; determine a first weight associated with the first cluster and a second weight associated with the second cluster, wherein the first weight is based at least on the determined weights of the term vectors of the first cluster, and wherein the second weight is based at least on the determined weights of the term vectors of the second cluster; determine a first percentage of a list of output terms that should come from the first cluster and a second percentage of the list of output terms that should come from the second cluster, the first percentage based on a ratio of the first weight to a sum of the first and second weights, the second percentage based on a ratio of the second weight to the sum of the first and second weights; select one or more terms from the first set of terms according to the determined first percentage; select one or more terms from the second set of terms according to the determined second percentage; combine the selected terms from the first and second sets of terms into the list of output terms, the list of output terms having the first and second concepts of the text; and store the list of output terms in the one or more memory units. | 1. A system, comprising: one or more memory units; and one or more processing units operable to: access text; identify a plurality of terms from the text; determine a plurality of term vectors associated with the identified plurality of terms; calculate a weight of each of the determined plurality of term vectors; cluster the determined plurality of term vectors into a plurality of clusters, the plurality of clusters comprising a first cluster related to a first concept of the text and a second cluster related to a second concept of the text, the first concept being distinct from the second concept, the first and second clusters each comprising two or more of the determined term vectors, the clustering comprising grouping two or more of the determined term vectors together based on the determined weights of the two or more term vectors and a distance between the two or more term vectors; create a first pseudo-document according to the first cluster; create a second pseudo-document according to the second cluster; identify, using latent semantic analysis (LSA) of the first pseudo-document, a first set of terms associated with the first cluster; identify, using LSA of the second pseudo-document, a second set of terms associated with the second cluster; determine a first weight associated with the first cluster and a second weight associated with the second cluster, wherein the first weight is based at least on the determined weights of the term vectors of the first cluster, and wherein the second weight is based at least on the determined weights of the term vectors of the second cluster; determine a first percentage of a list of output terms that should come from the first cluster and a second percentage of the list of output terms that should come from the second cluster, the first percentage based on a ratio of the first weight to a sum of the first and second weights, the second percentage based on a ratio of the second weight to the sum of the first and second weights; select one or more terms from the first set of terms according to the determined first percentage; select one or more terms from the second set of terms according to the determined second percentage; combine the selected terms from the first and second sets of terms into the list of output terms, the list of output terms having the first and second concepts of the text; and store the list of output terms in the one or more memory units. 4. The system of claim 1 , wherein combining the selected terms from the first and second sets of terms into the list of output terms comprises using log-entropy mixing. | 0.896319 |
9,092,480 | 1 | 2 | 1. An apparatus for performing an extended search, comprising: a processor, a receiving module configured to receive user-inputted keywords; an extending module configured to extend the user-inputted keywords according to geographical information to acquire extended keywords; a searching module configured to perform a search with the processor by using the extended keywords; and a returning module configured to return search results to the user. | 1. An apparatus for performing an extended search, comprising: a processor, a receiving module configured to receive user-inputted keywords; an extending module configured to extend the user-inputted keywords according to geographical information to acquire extended keywords; a searching module configured to perform a search with the processor by using the extended keywords; and a returning module configured to return search results to the user. 2. The apparatus of claim 1 , wherein the extending module comprises: a module configured to acquire a location name in the user-inputted keywords; a module configured to determine a geographical entity referred to by the location name as a target geographical entity; a module configured to acquire adjacent geographical entities of the target geographical entity, wherein a distance between the adjacent geographical entities to the target geographical entity satisfies a criterion; and a module configured to take names of the adjacent geographical entities as an extension to the keywords. | 0.619384 |
8,521,718 | 1 | 2 | 1. A computer-implemented method comprising: identifying a first query having first criteria, wherein the first criteria specifies one or more attributes of web page impressions; obtaining, from a database of web page impressions, a set of web page impressions that satisfy the first query; storing, as a pre-computed response to the first query, an identifier for each web page impression in the set; after storing the pre-computed response to the first query, receiving from a client device a second query having second criteria, wherein the second criteria specifies one or more attributes of web page impressions and wherein a number of second criteria is greater than a number of first criteria; generating a plurality of sub-queries from the second query, the plurality of sub-queries comprising (i) a first sub-query having the first criteria, and (ii) one or more other sub-queries, wherein each of the second criteria is represented in at least one of the plurality of sub-queries; obtaining a response for each of the one or more other sub-queries, from the database of web page impressions, wherein each response comprises identifiers of web page impressions satisfying criteria of the associated sub-query; comparing the pre-computed response to the first query and the responses to the one or more other sub-queries; and providing an answer to the client device based at least in part on said comparing the pre-computed response to the first query and the responses to the one or more other sub-queries. | 1. A computer-implemented method comprising: identifying a first query having first criteria, wherein the first criteria specifies one or more attributes of web page impressions; obtaining, from a database of web page impressions, a set of web page impressions that satisfy the first query; storing, as a pre-computed response to the first query, an identifier for each web page impression in the set; after storing the pre-computed response to the first query, receiving from a client device a second query having second criteria, wherein the second criteria specifies one or more attributes of web page impressions and wherein a number of second criteria is greater than a number of first criteria; generating a plurality of sub-queries from the second query, the plurality of sub-queries comprising (i) a first sub-query having the first criteria, and (ii) one or more other sub-queries, wherein each of the second criteria is represented in at least one of the plurality of sub-queries; obtaining a response for each of the one or more other sub-queries, from the database of web page impressions, wherein each response comprises identifiers of web page impressions satisfying criteria of the associated sub-query; comparing the pre-computed response to the first query and the responses to the one or more other sub-queries; and providing an answer to the client device based at least in part on said comparing the pre-computed response to the first query and the responses to the one or more other sub-queries. 2. The computer-implemented method of claim 1 , further comprising identifying the second query as a complex query. | 0.826807 |
8,261,335 | 11 | 14 | 11. The Internet-accessible system as described in claim 10 further including an image transformation application that processes requests associated with user-supplied images. | 11. The Internet-accessible system as described in claim 10 further including an image transformation application that processes requests associated with user-supplied images. 14. The Internet-accessible system as described in claim 11 further including a cache associated with image transformation application for temporarily storing data generated during a given image transformation operation. | 0.924033 |
9,892,094 | 5 | 12 | 5. A method comprising: presenting, by a computing device, on a display, a first portion of content of an electronic version of a content item; determining a first position in the electronic version with which the first portion of content is associated; receiving a data object that indicates associations between page labels from a print version of the content item and positions of respective portions of content in the electronic version; determining, from the data object, based at least in part on the first position, a first page label from the print version that is associated with the first position; presenting the first page label concurrently with the first portion of content; receiving a selection of a second portion of content of the electronic version as a selected portion; generating a textual citation corresponding to the selected portion; determining, from the data object, based at least in part on a second position associated with the selected portion, a second page label associated with the selected portion; and presenting the textual citation associated with selected portion, the textual citation including the second page label. | 5. A method comprising: presenting, by a computing device, on a display, a first portion of content of an electronic version of a content item; determining a first position in the electronic version with which the first portion of content is associated; receiving a data object that indicates associations between page labels from a print version of the content item and positions of respective portions of content in the electronic version; determining, from the data object, based at least in part on the first position, a first page label from the print version that is associated with the first position; presenting the first page label concurrently with the first portion of content; receiving a selection of a second portion of content of the electronic version as a selected portion; generating a textual citation corresponding to the selected portion; determining, from the data object, based at least in part on a second position associated with the selected portion, a second page label associated with the selected portion; and presenting the textual citation associated with selected portion, the textual citation including the second page label. 12. The method as recited in claim 5 , wherein the data object is determined by: scanning the print version to capture images of individual pages of the print version; identifying, based at least in part on the images, text of the individual pages to generate one or more text strings associated with the individual pages; and normalizing the one or more text strings by removing extraneous characters. | 0.77592 |
8,887,179 | 4 | 5 | 4. The method according to claim 1 further comprising: building a command in response to receiving a selection of an operand, sub-operand or parameter for the command in the logical tree. | 4. The method according to claim 1 further comprising: building a command in response to receiving a selection of an operand, sub-operand or parameter for the command in the logical tree. 5. The method according to claim 4 further comprising executing the command that was built, in response to receiving an execution command. | 0.966143 |
8,090,743 | 10 | 15 | 10. A method for managing documents using a document management system, the document management system comprising a storage unit that stores documents to construct a database and a document processing unit comprising a processor that detects a specific document among newly provided documents and informs the user of an information on the detected document, the method comprising: providing a user with a newly received information service application form that includes a service type section for setting a type of a newly received information service and an informing condition section for detecting a user-concerning document; receiving a newly received information service application input from the user, the newly received information service application input comprising an input that selects the type of the newly received information service from among a general selective dissemination of information service, a legal selective dissemination of information service and a similarity retrieval selective dissemination of information service; monitoring newly received documents in accordance with the newly received information service application input; and informing the user of information on a newly received document that corresponds to an informing condition, wherein if the general selective dissemination of information service is selected as the newly received information service, the document management system receives a retrieval expression from the user as the informing condition, determines whether a newly received document corresponds to the retrieval expression, and informs the user of the information on the newly received document if the newly received document corresponds to the retrieval expression, wherein if the legal selective dissemination of information service is selected as the newly received information service, the document management system receives an input that designates a reference document that was previously stored in the storage unit as the informing condition, extracts a representative value of the reference document, compares the reference document with a corresponding newly received document using the representative value, determines whether a legal status of the reference document is different from that of the corresponding newly received document, and informs the user of the information on the newly received document if the legal status of the reference document is different from that of the corresponding newly received document, wherein if the similarity retrieval selective dissemination of information service is selected as the newly received information service, the document management system receives an input that designates a reference document that was previously stored in the storage unit as the informing condition, determines whether a newly received document is similar to the reference document, and informs the user of the information on the newly received document if the newly received document is similar to the reference document. | 10. A method for managing documents using a document management system, the document management system comprising a storage unit that stores documents to construct a database and a document processing unit comprising a processor that detects a specific document among newly provided documents and informs the user of an information on the detected document, the method comprising: providing a user with a newly received information service application form that includes a service type section for setting a type of a newly received information service and an informing condition section for detecting a user-concerning document; receiving a newly received information service application input from the user, the newly received information service application input comprising an input that selects the type of the newly received information service from among a general selective dissemination of information service, a legal selective dissemination of information service and a similarity retrieval selective dissemination of information service; monitoring newly received documents in accordance with the newly received information service application input; and informing the user of information on a newly received document that corresponds to an informing condition, wherein if the general selective dissemination of information service is selected as the newly received information service, the document management system receives a retrieval expression from the user as the informing condition, determines whether a newly received document corresponds to the retrieval expression, and informs the user of the information on the newly received document if the newly received document corresponds to the retrieval expression, wherein if the legal selective dissemination of information service is selected as the newly received information service, the document management system receives an input that designates a reference document that was previously stored in the storage unit as the informing condition, extracts a representative value of the reference document, compares the reference document with a corresponding newly received document using the representative value, determines whether a legal status of the reference document is different from that of the corresponding newly received document, and informs the user of the information on the newly received document if the legal status of the reference document is different from that of the corresponding newly received document, wherein if the similarity retrieval selective dissemination of information service is selected as the newly received information service, the document management system receives an input that designates a reference document that was previously stored in the storage unit as the informing condition, determines whether a newly received document is similar to the reference document, and informs the user of the information on the newly received document if the newly received document is similar to the reference document. 15. The method according to claim 10 , wherein the informing condition is a reference document stored in the storage unit, and the step of monitoring comprises detecting a change of a legal status of the reference document using the newly received documents, and the step of informing comprises informing the user of the detected change. | 0.820171 |
9,240,187 | 1 | 5 | 1. A system comprising: a computer-readable memory storing executable instructions; and one or more processors in communication with the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least: receive, from a client device, audio data corresponding to an utterance; receive, from the client device, marker data corresponding to a first portion of a plurality of portions of an audio presentation, the audio presentation presented by the client device contemporaneously with capture of the utterance by the client device; generate a transcription of the utterance by performing automatic speech recognition on at least a portion of the audio data; determine an action to be taken responsive to the utterance based at least partly on the transcription and the marker data; and perform the action. | 1. A system comprising: a computer-readable memory storing executable instructions; and one or more processors in communication with the computer-readable memory, wherein the one or more processors are programmed by the executable instructions to at least: receive, from a client device, audio data corresponding to an utterance; receive, from the client device, marker data corresponding to a first portion of a plurality of portions of an audio presentation, the audio presentation presented by the client device contemporaneously with capture of the utterance by the client device; generate a transcription of the utterance by performing automatic speech recognition on at least a portion of the audio data; determine an action to be taken responsive to the utterance based at least partly on the transcription and the marker data; and perform the action. 5. The system of claim 1 , wherein the marker data further comprises a first presentation identifier corresponding to the audio presentation and a second presentation identifier corresponding to a second audio presentation also being presented on the client device contemporaneously with capture of the utterance by the client device. | 0.751488 |
8,645,679 | 15 | 18 | 15. A computer program product in a non-transitory computer readable medium for use in a data processing system, the computer program product holding computer program instructions which, when executed by the data processing system, perform a method for merging security constraints associated with an application when using security annotations, the method comprising: during application deployment, generating a list of role names; during application runtime, retrieving security constraints for the application from a plurality of sources, the sources including dynamic and static security annotations, and a deployment descriptor; and using the list of role names and the security constraints retrieved from the plurality of sources to generate a set of merged security constraints having an order of precedence. | 15. A computer program product in a non-transitory computer readable medium for use in a data processing system, the computer program product holding computer program instructions which, when executed by the data processing system, perform a method for merging security constraints associated with an application when using security annotations, the method comprising: during application deployment, generating a list of role names; during application runtime, retrieving security constraints for the application from a plurality of sources, the sources including dynamic and static security annotations, and a deployment descriptor; and using the list of role names and the security constraints retrieved from the plurality of sources to generate a set of merged security constraints having an order of precedence. 18. The computer program product as described in claim 15 wherein the step of using the list of role names and the security constraints retrieved comprises: merging one or more dynamic security annotations with one or more static security annotations to generate a set of runtime constraints; and merging one or more security constraints from the deployment descriptor with the set of runtime constraints and the list of roles to generate the set of merged security constraints. | 0.501044 |
8,578,487 | 1 | 4 | 1. A computer implemented method performed by one or more processors for preventing SQL injection attacks, the method comprising the following operations: intercepting, at a first software hook, a web request associated with a web service, the first software hook associated with a first execution context of the web service; persisting at least a portion of the intercepted web request in a storage location associated with the first software hook, wherein the portion of the intercepted web request persisted in the storage location is made accessible to at least one additional execution context associated with the web service and the at least a portion of the intercepted web request is appended to one or more messages transmitted between one or more execution contexts, the intercepted web request comprising at least one string; intercepting a database query generated by at least one web service processing operation at a second software hook, the second software hook associated with execution of the generated database query, wherein the database query is generated in response to the intercepted web request, and wherein the second software hook retrieves the persisted portion of the intercepted web request; comparing at least a portion of the persisted portion of the intercepted web request with at least a portion of the intercepted database query by tokenizing the intercepted database query and comparing portions of the intercepted database query corresponding to each token to each string captured in the intercepted web request; and determining, prior to the intercepted database query being executed, whether the intercepted database query corresponds to a potential SQL injection attack if a string of the intercepted web request matches a portion of the intercepted database query and such string comprises a character that modifies a syntax of the intercepted database query. | 1. A computer implemented method performed by one or more processors for preventing SQL injection attacks, the method comprising the following operations: intercepting, at a first software hook, a web request associated with a web service, the first software hook associated with a first execution context of the web service; persisting at least a portion of the intercepted web request in a storage location associated with the first software hook, wherein the portion of the intercepted web request persisted in the storage location is made accessible to at least one additional execution context associated with the web service and the at least a portion of the intercepted web request is appended to one or more messages transmitted between one or more execution contexts, the intercepted web request comprising at least one string; intercepting a database query generated by at least one web service processing operation at a second software hook, the second software hook associated with execution of the generated database query, wherein the database query is generated in response to the intercepted web request, and wherein the second software hook retrieves the persisted portion of the intercepted web request; comparing at least a portion of the persisted portion of the intercepted web request with at least a portion of the intercepted database query by tokenizing the intercepted database query and comparing portions of the intercepted database query corresponding to each token to each string captured in the intercepted web request; and determining, prior to the intercepted database query being executed, whether the intercepted database query corresponds to a potential SQL injection attack if a string of the intercepted web request matches a portion of the intercepted database query and such string comprises a character that modifies a syntax of the intercepted database query. 4. The method of claim 1 , wherein intercepting the web request at the first software hook includes at least one of modifying or diverting the web request from the first execution context of the web service. | 0.715659 |
9,836,192 | 10 | 16 | 10. A method of operating a system to facilitate a graphical user interface in a computing environment, the method comprising: interacting with a graphical user interface (GUI) in a window, the GUI comprising at least one user interface (UI) object accessible using a mouse; issuing a first command to position a mouse cursor at a location in the window of the UI object in preparation for issuing a second command to generate a marker representing the UI object, wherein the marker comprises a marker label; issuing the second command; and issuing a voice command that identifies the marker label in order to interface with the UI object. | 10. A method of operating a system to facilitate a graphical user interface in a computing environment, the method comprising: interacting with a graphical user interface (GUI) in a window, the GUI comprising at least one user interface (UI) object accessible using a mouse; issuing a first command to position a mouse cursor at a location in the window of the UI object in preparation for issuing a second command to generate a marker representing the UI object, wherein the marker comprises a marker label; issuing the second command; and issuing a voice command that identifies the marker label in order to interface with the UI object. 16. The method as recited in claim 10 , wherein the UI object comprises at least one of a menu command, an icon command, an icon tool, a check box, and a text input field. | 0.854839 |
8,332,383 | 1 | 2 | 1. A system to process a data search request, the system including: a query controller module to receive, via an interface of a computer system, the data search request, the data search request including a plurality of constraints corresponding to a query; a search engine to perform a search of a data source based on the data search request to find and count a number of data items; a reduced constraint builder module to formulate, within the computer system, a plurality of search definitions, in response to an identification of the number of data items in excess of a predetermined threshold minimum number of data items, wherein each search definition of a subset of the plurality of constraints is formulated to exclude at least one constraint; wherein the search engine is configured to perform a plurality of searches of the data source for each of the plurality of search definitions to generate a plurality of search results corresponding to each search definition, and to utilize the plurality of search results to calculate, within the computer system, a corresponding data item count for each search definition; and wherein the query controller module is configured to communicate, via the interface of the computer system, the count of data items for the each search definition, the plurality of search definitions, and the number of data items corresponding to the data search request to a client machine for simultaneous display. | 1. A system to process a data search request, the system including: a query controller module to receive, via an interface of a computer system, the data search request, the data search request including a plurality of constraints corresponding to a query; a search engine to perform a search of a data source based on the data search request to find and count a number of data items; a reduced constraint builder module to formulate, within the computer system, a plurality of search definitions, in response to an identification of the number of data items in excess of a predetermined threshold minimum number of data items, wherein each search definition of a subset of the plurality of constraints is formulated to exclude at least one constraint; wherein the search engine is configured to perform a plurality of searches of the data source for each of the plurality of search definitions to generate a plurality of search results corresponding to each search definition, and to utilize the plurality of search results to calculate, within the computer system, a corresponding data item count for each search definition; and wherein the query controller module is configured to communicate, via the interface of the computer system, the count of data items for the each search definition, the plurality of search definitions, and the number of data items corresponding to the data search request to a client machine for simultaneous display. 2. The system of claim 1 , wherein each of the search definitions is formulated to include a constraint set that is unique, and wherein the constraints of the constraint set are selected from a group including a keyword constraint, a category constraint, a search parameter constraint, and an attribute constraint. | 0.645598 |
7,761,843 | 53 | 54 | 53. A tangible computer-readable medium having computer-executable instructions for implementing a method of computer programming for a target computer language, the computer executable instructions comprising instructions for: defining a programming command to provide a command definition; generating a form from the command definition, wherein the form comprises a command format corresponding to at least a portion of the programming command and an entry component corresponding to at least one word in the programming command; displaying the form; receiving data relating to an input value for the entry component; merging the input value and the command format to create a programming command sentence; and translating the programming command sentence into the target computer language, wherein the programming command comprises at least one word and wherein the computer executable instructions for defining the programming command comprise instructions for: inserting a word into the programming command; deleting a word from the programming command; modifying a definition of a word of the programming command; and writing a translation procedure for the programming command. | 53. A tangible computer-readable medium having computer-executable instructions for implementing a method of computer programming for a target computer language, the computer executable instructions comprising instructions for: defining a programming command to provide a command definition; generating a form from the command definition, wherein the form comprises a command format corresponding to at least a portion of the programming command and an entry component corresponding to at least one word in the programming command; displaying the form; receiving data relating to an input value for the entry component; merging the input value and the command format to create a programming command sentence; and translating the programming command sentence into the target computer language, wherein the programming command comprises at least one word and wherein the computer executable instructions for defining the programming command comprise instructions for: inserting a word into the programming command; deleting a word from the programming command; modifying a definition of a word of the programming command; and writing a translation procedure for the programming command. 54. The tangible computer-readable medium having computer-executable instructions of claim 53 wherein defining the programming command further comprises defining a command block comprising a plurality of programming commands. | 0.819422 |
9,495,334 | 1 | 7 | 1. A computer-implemented method comprising: opening, by a document viewing application, an electronic document, the electronic document comprising descriptive content and an illustrative object, the illustrative object identified by a reference label, wherein a document preparation module and a reference detector cooperate with and function in conjunction with the document viewing application to: (1) automatically detect the illustrative object in the electronic document, determine an identification label associated with the illustrative object, scan the electronic document to detect one or more text items that refer to the illustrative object, and tag each of the one or more text items with a reference label corresponding to the identification label; (2) automatically detect that a cursor is positioned over the one or more text items in the descriptive content that is tagged with the reference label; and responding to the detecting, using at least one processor coupled to a memory, by loading the illustrative object into memory and rendering the illustrative object in a float window, the float window being presented in a display area of the viewing application. | 1. A computer-implemented method comprising: opening, by a document viewing application, an electronic document, the electronic document comprising descriptive content and an illustrative object, the illustrative object identified by a reference label, wherein a document preparation module and a reference detector cooperate with and function in conjunction with the document viewing application to: (1) automatically detect the illustrative object in the electronic document, determine an identification label associated with the illustrative object, scan the electronic document to detect one or more text items that refer to the illustrative object, and tag each of the one or more text items with a reference label corresponding to the identification label; (2) automatically detect that a cursor is positioned over the one or more text items in the descriptive content that is tagged with the reference label; and responding to the detecting, using at least one processor coupled to a memory, by loading the illustrative object into memory and rendering the illustrative object in a float window, the float window being presented in a display area of the viewing application. 7. The method of claim 1 , wherein the responding to the detecting by loading the illustrative object into memory and rendering the illustrative object in a float window is by a plug-in associated with the document viewing application. | 0.502119 |
8,789,192 | 1 | 5 | 1. A method for generating a vulnerability score associated with en-information technology assets of an enterprise, said method comprising: collecting results of at least one vulnerability assessment conducted on the information technology assets by at least one vendor tool; analyzing each result for base score metrics, wherein steps of said analyzing each result for base score metrics comprising: retrieving National Vulnerability Database (NVD) information; when Common Vulnerabilities and Exposures (CVE) is present, retrieving base score metrics from an NVD repository; when Common Weakness Enumeration (CWE) is present and CWE is mapped to one or more CVEs, retrieving Common Vulnerability Scoring System (CVSS) base score metrics for associated one or more CVEs from the NVD repository; when CWE is present and CWE is mapped to one or more CVEs and a plurality of CVEs are retrieved, using CVSS base score metrics to generate a pseudo-CVE from retrieved CVEs when CWE is present and CWE is not mapped to one or more CVEs, using CVSS base score metrics to generate a pseudo-CVE based on result details; and when CVE is not present and CWE is not present, using CVSS base score metrics to generate a pseudo-CVE based on result details; analyzing each result for temporal score metrics; analyzing each result for environment score metrics; and generating a CVSS score for each result based on the base score metrics, temporal score metrics and environment score metrics for each result, wherein one or more of said steps of collecting results of at least one vulnerability assessment, analyzing each result for base score metrics, analyzing each result for temporal score metrics, analyzing each result for environment score metrics, and generating a CVSS score for each result are performed on a computer hardware platform having a processing module executing computer program code stored on a memory module of the computer hardware platform. | 1. A method for generating a vulnerability score associated with en-information technology assets of an enterprise, said method comprising: collecting results of at least one vulnerability assessment conducted on the information technology assets by at least one vendor tool; analyzing each result for base score metrics, wherein steps of said analyzing each result for base score metrics comprising: retrieving National Vulnerability Database (NVD) information; when Common Vulnerabilities and Exposures (CVE) is present, retrieving base score metrics from an NVD repository; when Common Weakness Enumeration (CWE) is present and CWE is mapped to one or more CVEs, retrieving Common Vulnerability Scoring System (CVSS) base score metrics for associated one or more CVEs from the NVD repository; when CWE is present and CWE is mapped to one or more CVEs and a plurality of CVEs are retrieved, using CVSS base score metrics to generate a pseudo-CVE from retrieved CVEs when CWE is present and CWE is not mapped to one or more CVEs, using CVSS base score metrics to generate a pseudo-CVE based on result details; and when CVE is not present and CWE is not present, using CVSS base score metrics to generate a pseudo-CVE based on result details; analyzing each result for temporal score metrics; analyzing each result for environment score metrics; and generating a CVSS score for each result based on the base score metrics, temporal score metrics and environment score metrics for each result, wherein one or more of said steps of collecting results of at least one vulnerability assessment, analyzing each result for base score metrics, analyzing each result for temporal score metrics, analyzing each result for environment score metrics, and generating a CVSS score for each result are performed on a computer hardware platform having a processing module executing computer program code stored on a memory module of the computer hardware platform. 5. The method of claim 1 wherein, in said analyzing each result for temporal score metrics, the temporal score metrics comprise one or more of an exploitability metric, a remediation level metric, and a report confidence metric. | 0.886567 |
8,751,963 | 11 | 13 | 11. A system, comprising: a processor; and a non-transitory computer-readable storage medium containing instructions configured to cause the processor to perform operations including: receiving raw data on a computing device; dividing the raw data into a set of time stamped searchable events; storing the set of events in an indexed data store; applying an extraction rule to the set of events, wherein an extraction rule defines a field within an event from which to extract a value; extracting a value from a field within an event, wherein the value is extracted using the extraction rule; and displaying the event in a graphical interface, wherein the value extracted from the field within the event is emphasized. | 11. A system, comprising: a processor; and a non-transitory computer-readable storage medium containing instructions configured to cause the processor to perform operations including: receiving raw data on a computing device; dividing the raw data into a set of time stamped searchable events; storing the set of events in an indexed data store; applying an extraction rule to the set of events, wherein an extraction rule defines a field within an event from which to extract a value; extracting a value from a field within an event, wherein the value is extracted using the extraction rule; and displaying the event in a graphical interface, wherein the value extracted from the field within the event is emphasized. 13. The system of claim 11 , wherein the extraction rule includes a regular expression. | 0.910494 |
9,465,694 | 10 | 14 | 10. An apparatus for recovering a partition based on file system metadata, comprising: an unallocated area determination unit for determining an unallocated area in a disk or an evidence image; a Master File Table (MFT) entry collection unit for collecting MFT entries from the unallocated area; an MFT entry analysis unit for generating MFT partition candidate information by analyzing the MFT entries; and an MFT partition creation unit for creating information enabling a layout of a partition to be reconfigured based on the MFT partition candidate information, and creating a tree structure using the created information and the MFT entries, wherein the MFT partition creation unit is configured to analyze MFT entries of a corresponding sector by reading the MFT partition candidate information, calculate a location of a boot record, and calculate a total size of a volume using an MFT entry corresponding to a metadata file, and is configured to, if the calculated volume size satisfies a preset minimum size, parse the collected MFT entries and restore parsed results to a tree structure. | 10. An apparatus for recovering a partition based on file system metadata, comprising: an unallocated area determination unit for determining an unallocated area in a disk or an evidence image; a Master File Table (MFT) entry collection unit for collecting MFT entries from the unallocated area; an MFT entry analysis unit for generating MFT partition candidate information by analyzing the MFT entries; and an MFT partition creation unit for creating information enabling a layout of a partition to be reconfigured based on the MFT partition candidate information, and creating a tree structure using the created information and the MFT entries, wherein the MFT partition creation unit is configured to analyze MFT entries of a corresponding sector by reading the MFT partition candidate information, calculate a location of a boot record, and calculate a total size of a volume using an MFT entry corresponding to a metadata file, and is configured to, if the calculated volume size satisfies a preset minimum size, parse the collected MFT entries and restore parsed results to a tree structure. 14. The apparatus of claim 10 , wherein the MFT partition creation unit calculates a difference between a physical sector offset of a file starting location of the $MFT and an offset value obtained by converting the starting cluster of the $MFT into a sector offset, thus calculating the location of the boot record, which is a starting point of the volume. | 0.819149 |
4,362,152 | 3 | 4 | 3. The erector of claim 2 further comprising a thin filament wrapped around the two rods in a helical fashion for maintaining the rods in side-by-side relation. | 3. The erector of claim 2 further comprising a thin filament wrapped around the two rods in a helical fashion for maintaining the rods in side-by-side relation. 4. The erector of claim 3 wherein the first end of each rod is coupled to a respective one of the arcuate arms and the second end of each rod is coupled to the securement means. | 0.941853 |
9,338,226 | 1 | 2 | 1. A system with actor oriented platform for Big Data processing comprising: an actor network connected to a cloud server in a cloud network, and wherein the actor network comprises a plurality of actors; a distributed virtual machine (DVM) network connected to the actor network, and wherein the DVM network comprises a plurality of DVMs, and wherein the plurality of actors is connected respectively to the plurality of DVMs based on a predefined protocol; a system server connected to the cloud server, the actor network and the DVM network; a scheduler provided in the system server to schedule the resources connected to an actor in the actor network; a stop and start mechanism provided in the server to change a connection between the plurality of actors and the plurality of DVMs, wherein the stop and start mechanism is operated to stop an operation of a process agent in a first DVM and to start an operation of a process agent in a second DVM, when the process agent in the first DVM consumes extra resources, and wherein the start and stop mechanism is operated to execute a cloud balancer application platform to provide a first command to the first DVM to stop the operation of the process agent in the first DVM and a second command to the second DVM to start the operation of the second DVM; and a cloud balancer provided in the server and connected to the actor in the actor network; wherein the system server sends a message to the actor to disconnect an actor connected to one DVM and to connect the actor to another DVM based on the load of the process agent present in each DVM to balance the load on the actor, and wherein the server adds three fundamental operations over the actor system to manage schedules, to provide resources and to enable messaging for an asynchronous set of actors in the actor network, and wherein the three fundamental operations includes Perform, Transform and Balance (PTB) operations, and wherein the actors are organized in Actor Sets to realize a protocol, application or data operators that are connected to other actors based on a process composition defined by the PTB operations, and wherein the Perform operation is added to realizes a continuous message routing service, and wherein the Transfer operation is added to define a piped topology and interconnection of two actors in the actor system to provide a continuous service, and wherein the Balance operation is added to define a separation paradigm of service results, and wherein the server uses functional programming and scala to realize perform, transform and balance operations over actor systems. | 1. A system with actor oriented platform for Big Data processing comprising: an actor network connected to a cloud server in a cloud network, and wherein the actor network comprises a plurality of actors; a distributed virtual machine (DVM) network connected to the actor network, and wherein the DVM network comprises a plurality of DVMs, and wherein the plurality of actors is connected respectively to the plurality of DVMs based on a predefined protocol; a system server connected to the cloud server, the actor network and the DVM network; a scheduler provided in the system server to schedule the resources connected to an actor in the actor network; a stop and start mechanism provided in the server to change a connection between the plurality of actors and the plurality of DVMs, wherein the stop and start mechanism is operated to stop an operation of a process agent in a first DVM and to start an operation of a process agent in a second DVM, when the process agent in the first DVM consumes extra resources, and wherein the start and stop mechanism is operated to execute a cloud balancer application platform to provide a first command to the first DVM to stop the operation of the process agent in the first DVM and a second command to the second DVM to start the operation of the second DVM; and a cloud balancer provided in the server and connected to the actor in the actor network; wherein the system server sends a message to the actor to disconnect an actor connected to one DVM and to connect the actor to another DVM based on the load of the process agent present in each DVM to balance the load on the actor, and wherein the server adds three fundamental operations over the actor system to manage schedules, to provide resources and to enable messaging for an asynchronous set of actors in the actor network, and wherein the three fundamental operations includes Perform, Transform and Balance (PTB) operations, and wherein the actors are organized in Actor Sets to realize a protocol, application or data operators that are connected to other actors based on a process composition defined by the PTB operations, and wherein the Perform operation is added to realizes a continuous message routing service, and wherein the Transfer operation is added to define a piped topology and interconnection of two actors in the actor system to provide a continuous service, and wherein the Balance operation is added to define a separation paradigm of service results, and wherein the server uses functional programming and scala to realize perform, transform and balance operations over actor systems. 2. The system according to claim 1 , wherein the system server throttles a message queue of the actor to reduce the load on the actor or to enhance the message queue to increase the load on the actor. | 0.588477 |
9,183,256 | 1 | 6 | 1. A method for sequence analysis comprising: storing at least one query sequence and at least one subject sequence each as relations in a relational database; carrying out a comparison of the at least one query sequence and the at least one subject sequence, each stored as relations in the relational database, as one or more Structured Query Language (SQL) queries formulated to include at least one join operation, wherein at least one SQL query is formulated with a controls table that specifies parameters of the comparison; and storing a result of the comparison as a result relation in the relational database, wherein a number of tuples in the result relation is larger than a multiplicative product of a number of tuples in the at least one subject sequence times a number of tuples in the at least one query sequence, to accommodate multiple points of alignment between each combination of the at least one query sequence and the least one subject sequence that are compared. | 1. A method for sequence analysis comprising: storing at least one query sequence and at least one subject sequence each as relations in a relational database; carrying out a comparison of the at least one query sequence and the at least one subject sequence, each stored as relations in the relational database, as one or more Structured Query Language (SQL) queries formulated to include at least one join operation, wherein at least one SQL query is formulated with a controls table that specifies parameters of the comparison; and storing a result of the comparison as a result relation in the relational database, wherein a number of tuples in the result relation is larger than a multiplicative product of a number of tuples in the at least one subject sequence times a number of tuples in the at least one query sequence, to accommodate multiple points of alignment between each combination of the at least one query sequence and the least one subject sequence that are compared. 6. A method as in claim 1 additionally comprising: generating an auxiliary table for storing histogram data. | 0.796226 |
8,024,575 | 1 | 6 | 1. A computer-implemented method of providing a pass phrase at a client workstation, the computer-implemented method causing the client workstation to: display, at the client workstation, a plurality of fields for entering a plurality of pass phrase answers without displaying a plurality of pass phrase questions, receive, at the client workstation, the plurality of pass phrase answers; and combine, at the client workstation, the plurality of pass phrase answers into a single pass phrase, wherein the plurality of pass phrase answers are concatenated together with a fixed random value and a cryptographic hash function is applied to the concatenation to generate the single pass phrase. | 1. A computer-implemented method of providing a pass phrase at a client workstation, the computer-implemented method causing the client workstation to: display, at the client workstation, a plurality of fields for entering a plurality of pass phrase answers without displaying a plurality of pass phrase questions, receive, at the client workstation, the plurality of pass phrase answers; and combine, at the client workstation, the plurality of pass phrase answers into a single pass phrase, wherein the plurality of pass phrase answers are concatenated together with a fixed random value and a cryptographic hash function is applied to the concatenation to generate the single pass phrase. 6. The computer-implemented method of claim 1 , the computer-implemented method further causing the client workstation to: retrieve and display, if the input for displaying pass phrase questions is received, at least one field for entering a retrieval answer. | 0.816051 |
7,617,193 | 3 | 5 | 3. A method for searching by providing user controlled relevance ranking of search results received from an internet web based search engine, and operating in conjunction with a conventional browser, comprising the steps of: a) inserting keywords and accepting at least one of different specific User Inputs from the search user to request search results; b) the search system selecting the size of the set of the requested search results to be provided by the search engine to the search user, when search engine results exceed a preset number, or the search user selecting the size of the set of the requested search results to be provided by the search engine to the search user; c) the search system inserting additional near simultaneous search requests into to the search engine to increase the selected responses when they exceed said preset number to provide combined search results; d) parsing the selected responses of the combined search results received from the search engine to remove or discard duplicate and extraneous information to create parsed information; e) applying a scoring algorithm to the parsed information received from the search engine to rank the search results, which utilizes said search setting information supplied by the search user; f) sorting the search results received from the search engine in order list the parsed search results by the highest relevant score; g) allowing the user to dynamically and interactively manipulate the search results, without going back to the search engine, by varying user search setting inputs; and h) formatting the sorted results for display on the users computer for operating in conjunction with a conventional browser. | 3. A method for searching by providing user controlled relevance ranking of search results received from an internet web based search engine, and operating in conjunction with a conventional browser, comprising the steps of: a) inserting keywords and accepting at least one of different specific User Inputs from the search user to request search results; b) the search system selecting the size of the set of the requested search results to be provided by the search engine to the search user, when search engine results exceed a preset number, or the search user selecting the size of the set of the requested search results to be provided by the search engine to the search user; c) the search system inserting additional near simultaneous search requests into to the search engine to increase the selected responses when they exceed said preset number to provide combined search results; d) parsing the selected responses of the combined search results received from the search engine to remove or discard duplicate and extraneous information to create parsed information; e) applying a scoring algorithm to the parsed information received from the search engine to rank the search results, which utilizes said search setting information supplied by the search user; f) sorting the search results received from the search engine in order list the parsed search results by the highest relevant score; g) allowing the user to dynamically and interactively manipulate the search results, without going back to the search engine, by varying user search setting inputs; and h) formatting the sorted results for display on the users computer for operating in conjunction with a conventional browser. 5. A method for searching according to claim 3 , further including the step of providing user-controllable relevance ranking of search results from two or more search engines. | 0.769129 |
8,140,981 | 16 | 20 | 16. A computer program product for handling message threads, the computer program product comprising: one or more computer-readable tangible storage devices; program instructions, stored on at least one of the one or more storage devices, to display a primary dialog window, wherein the primary dialog window includes a first ongoing conversation pane and a first outgoing message pane; program instructions, stored on at least one of the one or more storage devices, to display, in the primary dialog window, a first discussion between a first party and a second party during a chat session between the first party and the second party; program instructions, stored on at least one of the one or more storage devices, to, during the chat session, receive an indication, from the first party, of a new thread, wherein the new thread is a subset of the chat session, and wherein the new thread is a second discussion between the first party and the second party; program instructions, stored on at least one of the one or more storage devices, to, after receiving the indication, display a secondary dialog window, wherein the secondary dialog window includes a second ongoing conversation pane and a second outgoing message pane; program instructions, stored on at least one of the one or more storage devices, to display responses to first outgoing messages sent from the first outgoing message pane in the first ongoing conversation pane; and program instructions, stored on at least one of the one or more storage devices, to display responses to second outgoing messages sent from the second outgoing message pane in the second ongoing conversation pane. | 16. A computer program product for handling message threads, the computer program product comprising: one or more computer-readable tangible storage devices; program instructions, stored on at least one of the one or more storage devices, to display a primary dialog window, wherein the primary dialog window includes a first ongoing conversation pane and a first outgoing message pane; program instructions, stored on at least one of the one or more storage devices, to display, in the primary dialog window, a first discussion between a first party and a second party during a chat session between the first party and the second party; program instructions, stored on at least one of the one or more storage devices, to, during the chat session, receive an indication, from the first party, of a new thread, wherein the new thread is a subset of the chat session, and wherein the new thread is a second discussion between the first party and the second party; program instructions, stored on at least one of the one or more storage devices, to, after receiving the indication, display a secondary dialog window, wherein the secondary dialog window includes a second ongoing conversation pane and a second outgoing message pane; program instructions, stored on at least one of the one or more storage devices, to display responses to first outgoing messages sent from the first outgoing message pane in the first ongoing conversation pane; and program instructions, stored on at least one of the one or more storage devices, to display responses to second outgoing messages sent from the second outgoing message pane in the second ongoing conversation pane. 20. The computer program product according to claim 16 further comprising: program instructions, stored on at least one of the one or more storage devices, to display a close button in the secondary dialog window; program instructions, stored on at least one of the one or more storage devices, to receive a selection of the close button; and program instructions, stored on at least one of the one or more storage devices, to, after receiving the selection of the close button, close the secondary dialog window. | 0.836311 |
8,054,317 | 1 | 8 | 1. A method comprising: identifying, at a computer, a collection of color themes, each color theme of the collection of color themes comprising at least one color; identifying, at the computer, a color theme, the identified color theme comprising at least one color; determining, by the computer, a distance for each color theme of the collection of color themes from the identified color theme, wherein each distance comprises a color-based distance determined by comparing the identified color theme with the respective color theme of the collection of color themes, wherein, at least one color theme of the collection is a multi-color color theme comprising multiple colors, wherein the distance of the multi-color color theme from the identified color theme is determined based at least in part on color-to-color distances between at least one color of the identified color theme and each of the multiple colors of the multi-color color theme; and selecting, by the computer, a subset of color themes from the collection of color themes based at least in part on the distances from the identified color theme. | 1. A method comprising: identifying, at a computer, a collection of color themes, each color theme of the collection of color themes comprising at least one color; identifying, at the computer, a color theme, the identified color theme comprising at least one color; determining, by the computer, a distance for each color theme of the collection of color themes from the identified color theme, wherein each distance comprises a color-based distance determined by comparing the identified color theme with the respective color theme of the collection of color themes, wherein, at least one color theme of the collection is a multi-color color theme comprising multiple colors, wherein the distance of the multi-color color theme from the identified color theme is determined based at least in part on color-to-color distances between at least one color of the identified color theme and each of the multiple colors of the multi-color color theme; and selecting, by the computer, a subset of color themes from the collection of color themes based at least in part on the distances from the identified color theme. 8. The method of claim 1 , wherein determining each color-based distance from the identified color theme further comprises comparing at least a color of the identified color theme to at least a color of each color theme of the collection of color themes. | 0.679293 |
8,775,434 | 9 | 10 | 9. A system comprising: a user device; and one or more computers operable to interact with the device and to: identifying, in search log data, a resource presented in response to users queries, locations associated with the users queries, and information indicating whether the users interacted with the search results resource when presented; determining, via one or more processors, a catchment area for the resource based on the search log data, the catchment area specifying a geographic region that includes locations associated with users queries for which the resource was presented and selected; indexing the resource according to its catchment area; receiving a search query that is associated with a particular query location from a client device; identifying a set of search results responsive to the search, each search result in the set of search results referencing a resource having a catchment area that includes the particular query location; and providing the set of search results to the client device, wherein determining the catchment area further comprises: determining a distance between a location associated with the resource and a location associated with a first user query for which the resource was presented and selected; using the distance to define the catchment area for the resource; and excluding a location associated with a second user query for which the resource was presented and selected, wherein excluding the location associated with the second user query comprises: identifying, using obstacle data specifying the geographic areas of one or more obstacles, an obstacle that is located between the location associated with the resource and the location associated with the second user query; and excluding the location associated with the second user from the catchment area for the resource. | 9. A system comprising: a user device; and one or more computers operable to interact with the device and to: identifying, in search log data, a resource presented in response to users queries, locations associated with the users queries, and information indicating whether the users interacted with the search results resource when presented; determining, via one or more processors, a catchment area for the resource based on the search log data, the catchment area specifying a geographic region that includes locations associated with users queries for which the resource was presented and selected; indexing the resource according to its catchment area; receiving a search query that is associated with a particular query location from a client device; identifying a set of search results responsive to the search, each search result in the set of search results referencing a resource having a catchment area that includes the particular query location; and providing the set of search results to the client device, wherein determining the catchment area further comprises: determining a distance between a location associated with the resource and a location associated with a first user query for which the resource was presented and selected; using the distance to define the catchment area for the resource; and excluding a location associated with a second user query for which the resource was presented and selected, wherein excluding the location associated with the second user query comprises: identifying, using obstacle data specifying the geographic areas of one or more obstacles, an obstacle that is located between the location associated with the resource and the location associated with the second user query; and excluding the location associated with the second user from the catchment area for the resource. 10. The system of claim 9 , wherein the one or more computers comprise a server operable to interact with the device through a data communication network, and the device is operable to interact with the server as a client. | 0.822684 |
8,920,470 | 11 | 13 | 11. The system of claim 1 , further comprising a second bone anchor having a bone-engaging portion and a spinal fixation element receiving portion configured to receive a spinal fixation element therein, the second bone anchor being configured to be mated to the second end of the connecting member. | 11. The system of claim 1 , further comprising a second bone anchor having a bone-engaging portion and a spinal fixation element receiving portion configured to receive a spinal fixation element therein, the second bone anchor being configured to be mated to the second end of the connecting member. 13. The system of claim 11 , further comprising a second locking member configured to engage opposed inner walls of the opposed arms of the spinal fixation element receiving portion of the second bone anchor, the second locking member being configured to maintain a location of a spinal fixation element with respect to the spinal fixation element receiving portion of the second bone anchor in which the spinal fixation element is disposed, and further configured to maintain a location of the connecting member with respect to the second bone anchor, wherein the first locking member includes a first set screw extending through the elongate opening of the first end of the connecting member, the first set screw having a proximal end extending proximal of a proximal surface of the first end of the connecting member, and a first cap member threadingly engaged with the proximal end of the first set screw, and wherein the second locking member includes a second set screw extending through an elongate opening of the second end of the connecting member, the second set screw having a proximal end extending proximal of a proximal surface of the second end of the connecting member, and a second cap member threadingly engaged with the proximal end of the second set screw. | 0.521021 |
8,171,412 | 15 | 18 | 15. A computer program product stored on a computer useable medium for synchronizing a display of a set of presentation data with a set of speech inputs of a speaker, the program product comprising: program code configured to preprocess the set of presentation data to exclude a predetermined list of terms from consideration in a presentation data match determination; program code configured for determining a context of a speech input over a predetermined time interval, wherein the context is determined by analyzing speech patterns in the speech input of the speaker over the predetermined time interval; program code configured for matching the context with a plurality of the relevant portions of the set of presentation data; and program code configured for coordinating the display of the relevant portions of the set of presentation data during a visual presentation based on the matching, wherein the coordinating of the display of the relevant portions includes automatically adjusting the display of the relevant portions to synchronize the visual presentation with the speech input. | 15. A computer program product stored on a computer useable medium for synchronizing a display of a set of presentation data with a set of speech inputs of a speaker, the program product comprising: program code configured to preprocess the set of presentation data to exclude a predetermined list of terms from consideration in a presentation data match determination; program code configured for determining a context of a speech input over a predetermined time interval, wherein the context is determined by analyzing speech patterns in the speech input of the speaker over the predetermined time interval; program code configured for matching the context with a plurality of the relevant portions of the set of presentation data; and program code configured for coordinating the display of the relevant portions of the set of presentation data during a visual presentation based on the matching, wherein the coordinating of the display of the relevant portions includes automatically adjusting the display of the relevant portions to synchronize the visual presentation with the speech input. 18. The computer program product of claim 15 , wherein the context is determined based on a frequency, volume or speed of an uttered set of words in the speech input. | 0.918307 |
7,805,298 | 7 | 10 | 7. A transcription system for translating between different languages during testimonial proceedings, comprising: a transcription system in operative communication with a stenographic recorder, wherein the transcription system is configured to: receive, in real-time, one or more stenographic key-stroke codes that represent words spoken in a first language during a testimonial proceeding, wherein the transcription system is configured to: attempt to transcribe the one or more stenographic key-stroke codes into exact text that represents the words in the first language; replace the one or more stenographic key-stroke codes with phoneme text that represents the words in the first language in response to failing to transcribe the stenographic key-stroke codes into the exact text; translate, in real-time, the text in the first language to text in a second language, wherein translating the text in the first language includes translating the phoneme text in the first language to phoneme text in the second language; and transmit the text in the second language to a terminal in operative communication with the transcription system for real-time display, wherein the text transmitted to the terminal includes the phoneme text in the second language. | 7. A transcription system for translating between different languages during testimonial proceedings, comprising: a transcription system in operative communication with a stenographic recorder, wherein the transcription system is configured to: receive, in real-time, one or more stenographic key-stroke codes that represent words spoken in a first language during a testimonial proceeding, wherein the transcription system is configured to: attempt to transcribe the one or more stenographic key-stroke codes into exact text that represents the words in the first language; replace the one or more stenographic key-stroke codes with phoneme text that represents the words in the first language in response to failing to transcribe the stenographic key-stroke codes into the exact text; translate, in real-time, the text in the first language to text in a second language, wherein translating the text in the first language includes translating the phoneme text in the first language to phoneme text in the second language; and transmit the text in the second language to a terminal in operative communication with the transcription system for real-time display, wherein the text transmitted to the terminal includes the phoneme text in the second language. 10. The system of claim 7 , where in the terminal displays the text in the second language in one of a plurality of display windows. | 0.883598 |
8,447,608 | 27 | 32 | 27. A system comprising: a processor and a memory operable to perform operations including: receiving a collection of source texts; identifying a type from a collection of types for each source text, each source text being associated with a particular type; generating, for each identified type, a type-specific language model using the source texts associated with the respective type; storing the language models; receiving an audio source file to be processed, the audio source file having a particular type; selecting a particular weighted combination of the language models, wherein weighting the particular weighted combination of the language models depends on the type of the audio source file to be processed; and generating a text file from the audio source file based on the selected weighted combination of language models. | 27. A system comprising: a processor and a memory operable to perform operations including: receiving a collection of source texts; identifying a type from a collection of types for each source text, each source text being associated with a particular type; generating, for each identified type, a type-specific language model using the source texts associated with the respective type; storing the language models; receiving an audio source file to be processed, the audio source file having a particular type; selecting a particular weighted combination of the language models, wherein weighting the particular weighted combination of the language models depends on the type of the audio source file to be processed; and generating a text file from the audio source file based on the selected weighted combination of language models. 32. The system of claim 27 , further operable to perform operations comprising: using the weighted combination of language models to generate the text file from the audio source file using speech-to-text processing; and storing the text file. | 0.636637 |
5,488,719 | 15 | 20 | 15. A system comprising: a processor; memory; the processor being connected for accessing the memory; and string data stored by the memory; the string data comprising two or more data units, each of which can be accessed by the processor; the data units including, for each of a set of two or more acceptable strings of characters, a respective sequence of data units that the processor can access using character data indicating the string's characters; the set of acceptable strings including a first string that is in a first subset of categories, each category in the first subset being one of a set of two or more categories; the first string's sequence of data units including a respective ending subsequence of data units that the processor can access at the end of the first string's sequence and use to obtain first string ending data indicating that the first string is one of the acceptable strings and indicating the first subset of categories; the first string's ending subsequence including: acceptance information indicating that a string at the end of whose respective sequence the processor can access the ending subsequence is one of the set of acceptable strings; and category set information indicating the first subset of categories; the first subset of categories including at least one of the set of categories. | 15. A system comprising: a processor; memory; the processor being connected for accessing the memory; and string data stored by the memory; the string data comprising two or more data units, each of which can be accessed by the processor; the data units including, for each of a set of two or more acceptable strings of characters, a respective sequence of data units that the processor can access using character data indicating the string's characters; the set of acceptable strings including a first string that is in a first subset of categories, each category in the first subset being one of a set of two or more categories; the first string's sequence of data units including a respective ending subsequence of data units that the processor can access at the end of the first string's sequence and use to obtain first string ending data indicating that the first string is one of the acceptable strings and indicating the first subset of categories; the first string's ending subsequence including: acceptance information indicating that a string at the end of whose respective sequence the processor can access the ending subsequence is one of the set of acceptable strings; and category set information indicating the first subset of categories; the first subset of categories including at least one of the set of categories. 20. The system of claim 15 in which the set of categories includes a category for words and a category for roman numerals. | 0.933839 |
7,877,343 | 8 | 9 | 8. The method of claim 2 , wherein the step of automatically creating the means for ranking comprises the steps of: (a) for training data, using a parser to automatically identify objects and relationships of each tuple in the training data and to label each tuple in the training data as either trustworthy or not trustworthy in regard to a relationship between the plurality of objects comprising the tuple; and (b) using the tuples that have thus been labeled as a training example for the means for ranking that will be employed to determine the quality of the tuples extracted from the corpus of text, so that the means for ranking learns in an unsupervised manner from the training example how to classify tuples extracted from the corpus of text, in regard to their quality. | 8. The method of claim 2 , wherein the step of automatically creating the means for ranking comprises the steps of: (a) for training data, using a parser to automatically identify objects and relationships of each tuple in the training data and to label each tuple in the training data as either trustworthy or not trustworthy in regard to a relationship between the plurality of objects comprising the tuple; and (b) using the tuples that have thus been labeled as a training example for the means for ranking that will be employed to determine the quality of the tuples extracted from the corpus of text, so that the means for ranking learns in an unsupervised manner from the training example how to classify tuples extracted from the corpus of text, in regard to their quality. 9. The method of claim 8 , wherein the means for ranking comprises an independent feature model classifier that is automatically trained without human interaction. | 0.924746 |
8,688,673 | 2 | 53 | 2. A method for using an emergent self-organization characteristic in a natural language for establishing a collaborative content relevance between users and items in a context space, implemented using the computer system of claim 1 , the method comprising the steps of: identifying a plurality of items in the context space with unique item identifiers, one of the plurality of items capable of being independently annotated in the context space by one or more of a plurality of users operating independently of one another without knowledge of each other's activities or existence, the annotating being done in the context space with unique user identifiers using an annotation of at least one keyword from the natural language during an annotation event, the annotation including an association between the at least one keyword, one of the unique item identifiers associated with the one of the plurality of items being independently annotated, and one of the unique user identifiers associated with the independently annotating one of the plurality of users, performed using the means for identifying; copying each of the annotations generated during ones of the annotation event to the at least one computer-readable media for storage therein, performed using the means for copying, the stored annotations containing the ones of the unique user identifier of the independently annotating ones of the plurality of users, the ones of the unique item identifier of the ones of the items being independently annotated, and the at least one keyword, ones of the plurality of users capable of using a different keyword to annotate the same one of the plurality of items; aggregating the stored annotations based on a correlation between users, items and keywords, the correlation associated with the emergent self organization characteristics to form the collaborative content relevance between the plurality of items and the plurality of users, performed using the means for aggregating the stored annotations; and associating, using the collaborative content relevance, one of: ones of the plurality of users with other ones of the plurality of users; and ones of the plurality of items with ones of the plurality of users such that the ones of the plurality of users are capable of discovering the other ones of the plurality of users, and the ones of the plurality of items are capable of discovering the ones of the plurality of users, based on the associated collaborative content relevance, performed using the means for associating. | 2. A method for using an emergent self-organization characteristic in a natural language for establishing a collaborative content relevance between users and items in a context space, implemented using the computer system of claim 1 , the method comprising the steps of: identifying a plurality of items in the context space with unique item identifiers, one of the plurality of items capable of being independently annotated in the context space by one or more of a plurality of users operating independently of one another without knowledge of each other's activities or existence, the annotating being done in the context space with unique user identifiers using an annotation of at least one keyword from the natural language during an annotation event, the annotation including an association between the at least one keyword, one of the unique item identifiers associated with the one of the plurality of items being independently annotated, and one of the unique user identifiers associated with the independently annotating one of the plurality of users, performed using the means for identifying; copying each of the annotations generated during ones of the annotation event to the at least one computer-readable media for storage therein, performed using the means for copying, the stored annotations containing the ones of the unique user identifier of the independently annotating ones of the plurality of users, the ones of the unique item identifier of the ones of the items being independently annotated, and the at least one keyword, ones of the plurality of users capable of using a different keyword to annotate the same one of the plurality of items; aggregating the stored annotations based on a correlation between users, items and keywords, the correlation associated with the emergent self organization characteristics to form the collaborative content relevance between the plurality of items and the plurality of users, performed using the means for aggregating the stored annotations; and associating, using the collaborative content relevance, one of: ones of the plurality of users with other ones of the plurality of users; and ones of the plurality of items with ones of the plurality of users such that the ones of the plurality of users are capable of discovering the other ones of the plurality of users, and the ones of the plurality of items are capable of discovering the ones of the plurality of users, based on the associated collaborative content relevance, performed using the means for associating. 53. The method according to claim 2 , wherein the identifiers are globally unique. | 0.983884 |
8,738,705 | 1 | 10 | 1. A computer implemented method comprising: identifying a set of malicious groups associated with a social networking system, wherein a group is an entity represented in the social networking system that users can join, the malicious groups predetermined to be associated with a type of malicious activity; determining a measure of interactions of the user with the malicious group; selecting users associated with the malicious groups, wherein each user is selected based on the determined measure of interactions of the user with the malicious groups; selecting a set of potentially malicious groups associated with the selected users; receiving, by a computer, keywords associated with the type of malicious activity and searching for keyword occurrences in content received from users of the potentially malicious groups; determining, by the computer, a level of association of each potentially malicious group with the type of malicious activity based on the keyword occurrences; and storing information describing the association of each potentially malicious group with the type of malicious activity. | 1. A computer implemented method comprising: identifying a set of malicious groups associated with a social networking system, wherein a group is an entity represented in the social networking system that users can join, the malicious groups predetermined to be associated with a type of malicious activity; determining a measure of interactions of the user with the malicious group; selecting users associated with the malicious groups, wherein each user is selected based on the determined measure of interactions of the user with the malicious groups; selecting a set of potentially malicious groups associated with the selected users; receiving, by a computer, keywords associated with the type of malicious activity and searching for keyword occurrences in content received from users of the potentially malicious groups; determining, by the computer, a level of association of each potentially malicious group with the type of malicious activity based on the keyword occurrences; and storing information describing the association of each potentially malicious group with the type of malicious activity. 10. The computer implemented method of claim 1 , wherein an interaction of the user with a group comprises the user sending a message indicating attendance of the user in an event associated with the group. | 0.848529 |
9,747,897 | 14 | 15 | 14. The computer-implemented method of claim 1 , further comprising: receiving additional audio data corresponding to the particular user speaking one or more additional terms in the natural language, the one or more additional terms including the one or more corresponding phones of the actual phonetic transcription; identifying the substitute pronunciation; and obtaining, based on the additional audio data and the substitute pronunciation, a text-based transcription of the additional audio data corresponding to the particular user speaking the one or more additional terms in the natural language. | 14. The computer-implemented method of claim 1 , further comprising: receiving additional audio data corresponding to the particular user speaking one or more additional terms in the natural language, the one or more additional terms including the one or more corresponding phones of the actual phonetic transcription; identifying the substitute pronunciation; and obtaining, based on the additional audio data and the substitute pronunciation, a text-based transcription of the additional audio data corresponding to the particular user speaking the one or more additional terms in the natural language. 15. The computer-implemented of claim 14 , further comprising: identifying the identifier that is associated with the like-pronunciation group; and based on identifying the identifier that is associated with the like-pronunciation group, identifying the substitute pronunciation associated with the identifier. | 0.961337 |
8,719,353 | 10 | 24 | 10. A computerized method for creating multimedia files from user input data, the method comprising: receiving user input data representative of text and voice data in a user input receiver; storing user input data and other data which includes visualization data and advertising inserts in a persistent storage device; processing said user input data and comparing said user input with said other data by way of a computer under program control; associating said user input data with one or more visualizations which represent the meaning of said user input data based upon said comparison of said user input data with said other data by way of said computer under program control, and generating a multimedia file from said one or more visualizations and at least one of said advertising inserts under program control which conveys the meaning of said user input data, wherein said generating step includes the step of automatically selecting one or both of said advertising insert and said one or more visualizations. | 10. A computerized method for creating multimedia files from user input data, the method comprising: receiving user input data representative of text and voice data in a user input receiver; storing user input data and other data which includes visualization data and advertising inserts in a persistent storage device; processing said user input data and comparing said user input with said other data by way of a computer under program control; associating said user input data with one or more visualizations which represent the meaning of said user input data based upon said comparison of said user input data with said other data by way of said computer under program control, and generating a multimedia file from said one or more visualizations and at least one of said advertising inserts under program control which conveys the meaning of said user input data, wherein said generating step includes the step of automatically selecting one or both of said advertising insert and said one or more visualizations. 24. The computerized method as recited in claim 10 , wherein said selecting step comprises: automatically selecting an advertising insert based upon historic word use. | 0.848732 |
10,157,057 | 1 | 7 | 1. A computerized method for analysis of the flow of assembler source programs, the method comprising the steps of: providing assembler source programs collectively constituting a function; parsing, using a computer, the content of each of the assembler source programs to identify each occurrence of control transfer assembler macros that call to and/or from another assembler program in the assembler source programs; collecting, using a computer, the identified control transfer assembler macros by storing the identified control transfer assembler macros in a macro table including a respective identification of a calling assembler program and a called assembler program; associating, using a computer, each assembler macro with a respective comprehensive, forward, and reverse flow that identifies at least another assembler macro, and storing the association in the macro table such that each assembler macro of the assembler macros in the macro table has at least one of a comprehensive, forward, and reverse flow; receiving an input indicative of a starting or ending assembler program and one of a comprehensive, a forward, and a reverse control transfer flow to thereby select a desired output flow; tracing, using a computer, the desired output flow based on the received input and the macro table; and generating, using a computer, a graphical display and/or a text report of the starting or ending assembler program and one of a comprehensive, a forward, and a reverse control transfer flow based on the received input and the macro table. | 1. A computerized method for analysis of the flow of assembler source programs, the method comprising the steps of: providing assembler source programs collectively constituting a function; parsing, using a computer, the content of each of the assembler source programs to identify each occurrence of control transfer assembler macros that call to and/or from another assembler program in the assembler source programs; collecting, using a computer, the identified control transfer assembler macros by storing the identified control transfer assembler macros in a macro table including a respective identification of a calling assembler program and a called assembler program; associating, using a computer, each assembler macro with a respective comprehensive, forward, and reverse flow that identifies at least another assembler macro, and storing the association in the macro table such that each assembler macro of the assembler macros in the macro table has at least one of a comprehensive, forward, and reverse flow; receiving an input indicative of a starting or ending assembler program and one of a comprehensive, a forward, and a reverse control transfer flow to thereby select a desired output flow; tracing, using a computer, the desired output flow based on the received input and the macro table; and generating, using a computer, a graphical display and/or a text report of the starting or ending assembler program and one of a comprehensive, a forward, and a reverse control transfer flow based on the received input and the macro table. 7. The method of claim 1 , wherein the storing further comprises updating the macro table with the assembler programs that do not include at least one of the assembler macros. | 0.655512 |
8,341,610 | 14 | 15 | 14. A system as in claim 13 , further comprising interactively repeating the authoring, generating and testing steps, wherein answer probabilities are initially estimated by a user and these user estimates are gradually replaced by data from test experience obtained by asking the questions and determining the state of the problem. | 14. A system as in claim 13 , further comprising interactively repeating the authoring, generating and testing steps, wherein answer probabilities are initially estimated by a user and these user estimates are gradually replaced by data from test experience obtained by asking the questions and determining the state of the problem. 15. A system as in claim 14 , further comprising using the flowchart in a problem determination engine. | 0.954263 |
8,914,318 | 1 | 2 | 1. An associative relevancy knowledge profiling system, comprising: at least one user interface module configured to: generate a user interface for presentation on a display screen; and receive user input that represents a user's intention to create an association between reference sets; a known reference set module configured to provide at least two available known reference sets and to permit selection of at least two said available known reference sets and an association type by a selective user input received by said user interface module, wherein the association type defines a type of association between the at least two said available known reference sets; an association module, implemented by a machine, configured: in response to the at least one user interface module receiving the user input, to select the association type from a plurality of association types, and to create an association between two of said available known reference sets, the association being of the selected association type, to generate a knowledge construct based upon said association and said available known reference sets, and to generate a profile comprising said association between two of said available known reference sets; and a storage module configured to store said profile and to provide said profile for subsequent use, wherein said profile is associated within one or more containers each having at least one predefined constraint that biases at least one of said available known reference sets. | 1. An associative relevancy knowledge profiling system, comprising: at least one user interface module configured to: generate a user interface for presentation on a display screen; and receive user input that represents a user's intention to create an association between reference sets; a known reference set module configured to provide at least two available known reference sets and to permit selection of at least two said available known reference sets and an association type by a selective user input received by said user interface module, wherein the association type defines a type of association between the at least two said available known reference sets; an association module, implemented by a machine, configured: in response to the at least one user interface module receiving the user input, to select the association type from a plurality of association types, and to create an association between two of said available known reference sets, the association being of the selected association type, to generate a knowledge construct based upon said association and said available known reference sets, and to generate a profile comprising said association between two of said available known reference sets; and a storage module configured to store said profile and to provide said profile for subsequent use, wherein said profile is associated within one or more containers each having at least one predefined constraint that biases at least one of said available known reference sets. 2. The system of claim 1 , wherein the known reference set module is further configured to input at least one known reference set as at least one of said available known reference sets. | 0.716258 |
8,825,639 | 21 | 25 | 21. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving machine-readable member profile information characterizing a first member and a second member in a member network; receiving a first search query submitted by the first member and a second search query submitted by the second member; responding to each of the first search query and the second search query with a) links to a collection of articles and b) one or more links for receiving input characterizing respectively ratings of the first member and ratings of the second member of articles in the collection; receiving a selection by the first member of a link for receiving input characterizing the first member's rating of a first of the articles in the collection; receiving a selection by the second member of a second link for receiving input characterizing the second member's rating of the first of the articles; storing machine-readable information characterizing the first member's rating and machine-readable information characterizing the second member's rating; receiving a third search query submitted by a third member, wherein the third search query is identical or relevant to the first search query and the second search query and the third member is not explicitly associated with the first member in the member network; determining a collection of articles that are responsive to the third search query, wherein the collection includes the first of the articles; identifying that the member profile information of the first member in the member network is associated with the third search query by virtue of the member profile information describing that the first member has expertise in a field associated with the third search query; and providing the third member with information describing the collection of articles responsive to the third search query and information describing an availability of the information characterizing the first member's rating of the first of the articles, wherein the information provided to the third member excludes any indication that information characterizing the second member's rating of the first of the articles has been received. | 21. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving machine-readable member profile information characterizing a first member and a second member in a member network; receiving a first search query submitted by the first member and a second search query submitted by the second member; responding to each of the first search query and the second search query with a) links to a collection of articles and b) one or more links for receiving input characterizing respectively ratings of the first member and ratings of the second member of articles in the collection; receiving a selection by the first member of a link for receiving input characterizing the first member's rating of a first of the articles in the collection; receiving a selection by the second member of a second link for receiving input characterizing the second member's rating of the first of the articles; storing machine-readable information characterizing the first member's rating and machine-readable information characterizing the second member's rating; receiving a third search query submitted by a third member, wherein the third search query is identical or relevant to the first search query and the second search query and the third member is not explicitly associated with the first member in the member network; determining a collection of articles that are responsive to the third search query, wherein the collection includes the first of the articles; identifying that the member profile information of the first member in the member network is associated with the third search query by virtue of the member profile information describing that the first member has expertise in a field associated with the third search query; and providing the third member with information describing the collection of articles responsive to the third search query and information describing an availability of the information characterizing the first member's rating of the first of the articles, wherein the information provided to the third member excludes any indication that information characterizing the second member's rating of the first of the articles has been received. 25. The system of claim 21 , wherein the machine-readable information characterizing the ratings of the first of the articles includes information that characterizes the members' ratings of the various articles based on a scaled grade. | 0.844782 |
8,368,738 | 13 | 15 | 13. A computer-implemented method of managing a communications session, performed by a computer system executing machine-readable instructions, the method comprising acts of receiving an invitation to participate in a conferencing session over multiple disparate communications modes; checking whether state of the conferencing session is indicated as existent; and automatically joining an invitee into the conferencing session in response to the invitation if the state indicates that the conferencing session exists. | 13. A computer-implemented method of managing a communications session, performed by a computer system executing machine-readable instructions, the method comprising acts of receiving an invitation to participate in a conferencing session over multiple disparate communications modes; checking whether state of the conferencing session is indicated as existent; and automatically joining an invitee into the conferencing session in response to the invitation if the state indicates that the conferencing session exists. 15. The method of claim 13 , further comprising automatically creating the conferencing session if the state indicates that the conferencing session is nonexistent. | 0.77957 |
8,677,243 | 13 | 14 | 13. A non-transitory computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps: causing, at least in part, storing metadata values for each of one or more content offerings, each offering having metadata identifying a primary metagenre, a sub-genre of said primary metagenre, and a secondary metagenre, one or more recommenders, and rankings assigned to respective metagenres by the recommenders; receiving user preference information identifying one or more metagenres preferred by a user, and one or more preferred sub-genres for each preferred metagenre; generating a first genre match listing of said content offerings by identifying offerings whose primary and secondary metagenre data match the user's preferences, ordering the offerings with highest ranking first, and scattering the offerings per metagenre and per recommender; generating a second genre match listing of said content offerings by identifying offerings whose primary metagenre data and corresponding subgenre data match the user's preferences, ordering the offerings with highest ranking first, and scattering the offerings per metagenre and per recommender; generating a third genre match listing of content offerings, by identifying offerings whose primary metagenre data matches the user's preferences but whose secondary metagenre data does not match the user's preferences, ordering the offerings with highest ranking first, and scattering the offerings per metagenre and per recommender; and generating a recommendation listing by combining the match listings, the recommendation list eliminates listings having one or more common adjacent metagenres or recommenders wherein said combining further comprises: creating a second temporary listing via looping each of the match listings to sequentially add entries based on genre; and entries based on genre; and creating a second temporary listing via loop said temporary listing to sequentially add entries based on recommender. | 13. A non-transitory computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the following steps: causing, at least in part, storing metadata values for each of one or more content offerings, each offering having metadata identifying a primary metagenre, a sub-genre of said primary metagenre, and a secondary metagenre, one or more recommenders, and rankings assigned to respective metagenres by the recommenders; receiving user preference information identifying one or more metagenres preferred by a user, and one or more preferred sub-genres for each preferred metagenre; generating a first genre match listing of said content offerings by identifying offerings whose primary and secondary metagenre data match the user's preferences, ordering the offerings with highest ranking first, and scattering the offerings per metagenre and per recommender; generating a second genre match listing of said content offerings by identifying offerings whose primary metagenre data and corresponding subgenre data match the user's preferences, ordering the offerings with highest ranking first, and scattering the offerings per metagenre and per recommender; generating a third genre match listing of content offerings, by identifying offerings whose primary metagenre data matches the user's preferences but whose secondary metagenre data does not match the user's preferences, ordering the offerings with highest ranking first, and scattering the offerings per metagenre and per recommender; and generating a recommendation listing by combining the match listings, the recommendation list eliminates listings having one or more common adjacent metagenres or recommenders wherein said combining further comprises: creating a second temporary listing via looping each of the match listings to sequentially add entries based on genre; and entries based on genre; and creating a second temporary listing via loop said temporary listing to sequentially add entries based on recommender. 14. The non-transitory computer-readable storage medium of claim 13 , wherein said plurality of metadata values further includes information identifying recommenders of said content offerings, and said generating said first, second and third genre match listings further comprises ordering content offerings of said genre match listings to eliminate adjacent offerings having one or more common recommenders. | 0.501222 |
9,928,241 | 3 | 5 | 3. The system of claim 1 , wherein the visualizations include a two-tier visualization that includes: a first level that comprises a plurality of sheet icons; and a second level that comprises a plurality of user icons. | 3. The system of claim 1 , wherein the visualizations include a two-tier visualization that includes: a first level that comprises a plurality of sheet icons; and a second level that comprises a plurality of user icons. 5. The system of claim 3 , wherein the user icons are spatially arranged in the second level according to calculated similarity values. | 0.949514 |
8,392,189 | 1 | 12 | 1. A device comprises: an interface module; and a processing module operably coupled to: receive a digital signal from the interface module; parse the digital signal into a plurality of frames; generate speech characteristic probabilities regarding the plurality of frames; determine a plurality of estimated utterances, wherein an estimated utterance of the plurality of estimated utterances is determined by interpreting one or more representations of the plurality of frames in accordance with one or more of the speech characteristic probabilities; interpreting the one or more speech characteristic probabilities to generate a word bias and language syntax bias and using the word bias to weight word tables and the syntax bias to weight syntax tables, based on the one or more speech characteristic probabilities, and determine one or more words by interpreting the plurality of estimated utterances in accordance with at least one of: the weighted word table and the weighted syntax table for one or more of the speech characteristic probabilities. | 1. A device comprises: an interface module; and a processing module operably coupled to: receive a digital signal from the interface module; parse the digital signal into a plurality of frames; generate speech characteristic probabilities regarding the plurality of frames; determine a plurality of estimated utterances, wherein an estimated utterance of the plurality of estimated utterances is determined by interpreting one or more representations of the plurality of frames in accordance with one or more of the speech characteristic probabilities; interpreting the one or more speech characteristic probabilities to generate a word bias and language syntax bias and using the word bias to weight word tables and the syntax bias to weight syntax tables, based on the one or more speech characteristic probabilities, and determine one or more words by interpreting the plurality of estimated utterances in accordance with at least one of: the weighted word table and the weighted syntax table for one or more of the speech characteristic probabilities. 12. The device of claim 1 , wherein the interface module comprises one or more of: a radio frequency (RF) receiver operably coupled to: receive an RF signal; and convert the RF signal into the digital signal; a network interface module operably coupled to: receive a network signal; and convert the network signal into the digital signal; an audio processing module operably coupled to: receive an analog audio signal; and convert the analog audio signal into the digital signal; and an audio file module operably coupled to: retrieve a formatted audio file; and process the formatted audio file to produce the digital signal. | 0.655666 |
9,864,674 | 6 | 8 | 6. The system of claim 1 , wherein the GUI information further comprises annotations, wherein the test case generation circuitry is configured to use the annotations to capture an internal behavioral event, or an external behavior event, or semantic knowledge associated with the GUIC, or any combination thereof. | 6. The system of claim 1 , wherein the GUI information further comprises annotations, wherein the test case generation circuitry is configured to use the annotations to capture an internal behavioral event, or an external behavior event, or semantic knowledge associated with the GUIC, or any combination thereof. 8. The system of claim 6 , wherein: the internal behavioral event comprises a backward dependency component (BDC), a forward dependency component (FDC), the CCEC and component direct event clause (CDEC); and the external behavioral event comprises an external user interface application (EUIA), external service call (ESC), and functional semantics (FS). | 0.95202 |
8,180,790 | 1 | 4 | 1. A computer-readable storage medium storing computer-useable instructions that, when used by a search engine device having a processor, cause the search engine device to perform a method, comprising: performing a search using a pre-existing and user-defined first search macro at the search engine device; receiving one or more search results from the search; identifying one or more terms or URLs in at least a portion of the one or more search results; calculating scores for the one or more terms or URLs for the first search macro; and storing information indicative of the one or more terms or URLs, the first search macro, and the scores; receiving a search query from an end user at the search engine device; determining one or more pre-existing and user-defined search macros relevant to the search query, the one or more search macros including the first search macro; and communicating an identification of the one or more search macros for presentation to the end user. | 1. A computer-readable storage medium storing computer-useable instructions that, when used by a search engine device having a processor, cause the search engine device to perform a method, comprising: performing a search using a pre-existing and user-defined first search macro at the search engine device; receiving one or more search results from the search; identifying one or more terms or URLs in at least a portion of the one or more search results; calculating scores for the one or more terms or URLs for the first search macro; and storing information indicative of the one or more terms or URLs, the first search macro, and the scores; receiving a search query from an end user at the search engine device; determining one or more pre-existing and user-defined search macros relevant to the search query, the one or more search macros including the first search macro; and communicating an identification of the one or more search macros for presentation to the end user. 4. The computer-readable storage medium of claim 1 , further comprising determining one or more search results based on the search query. | 0.776144 |
4,516,262 | 2 | 3 | 2. A character data processing apparatus as claimed in claim 1, in which the scanning means comprises an analog-to-digital converter for converting analog image data into binary image data. | 2. A character data processing apparatus as claimed in claim 1, in which the scanning means comprises an analog-to-digital converter for converting analog image data into binary image data. 3. A character data processing apparatus as claimed in claim 2, in which the scanning means further comprises an input buffer for sequentially storing the binary image data. | 0.900803 |
8,719,031 | 1 | 18 | 1. A method for supplementing an audio conference based on speaker content, comprising: monitoring, using a computer with a tangible processor and memory, speaker content from a plurality of audio conference participants; selecting a set of words from the speaker content; determining that the selected set of words is associated with supplemental media content from an external source; making the supplemental media content available to a first audience member of a plurality of audience members for the audio conference, based on information retrieved from a profile specific to the first audience member, and not making the supplemental media content available to a second audience member for the audio conference, based on information retrieved from a profile specific to the second audience member; and selectively presenting the supplemental media content to the first audience member and not to the second audience member for the audio conference. | 1. A method for supplementing an audio conference based on speaker content, comprising: monitoring, using a computer with a tangible processor and memory, speaker content from a plurality of audio conference participants; selecting a set of words from the speaker content; determining that the selected set of words is associated with supplemental media content from an external source; making the supplemental media content available to a first audience member of a plurality of audience members for the audio conference, based on information retrieved from a profile specific to the first audience member, and not making the supplemental media content available to a second audience member for the audio conference, based on information retrieved from a profile specific to the second audience member; and selectively presenting the supplemental media content to the first audience member and not to the second audience member for the audio conference. 18. The method of claim 1 , further comprising; classifying the set of words in the speaker content, and formulating a query for supplemental media content associated with the set of words based on a classification of the set of words. | 0.709877 |
8,768,693 | 13 | 15 | 13. A computing device comprising: a processor; a storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising: receiving logic executed by the processor for receiving an image file captured by a client device, the image file comprising an associated audio component, the audio component spoken by a user of the client device as a tag of the image file; metadata determining logic executed by the processor for determining metadata associated with the image file; identifying logic executed by the processor for identifying a dictionary of potential textual tags from the metadata; tag determining logic executed by the processor for determining a textual tag from the audio component using the dictionary of potential textual tags in conjunction with speech-to-text technology; and associating logic executed by the processor for associating the textual tag with the image file as additional metadata. | 13. A computing device comprising: a processor; a storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising: receiving logic executed by the processor for receiving an image file captured by a client device, the image file comprising an associated audio component, the audio component spoken by a user of the client device as a tag of the image file; metadata determining logic executed by the processor for determining metadata associated with the image file; identifying logic executed by the processor for identifying a dictionary of potential textual tags from the metadata; tag determining logic executed by the processor for determining a textual tag from the audio component using the dictionary of potential textual tags in conjunction with speech-to-text technology; and associating logic executed by the processor for associating the textual tag with the image file as additional metadata. 15. The computing device of claim 13 , further comprising storing logic executed by the processor for storing the image file and the textual tag. | 0.648058 |
8,505,090 | 1 | 9 | 1. A computer-implemented method, comprising: receiving a capture of text from a rendered document for a selected text capture indication of a plurality of text capture indications, each text capture indication corresponding to a text capture operation; identifying an electronic document related to the selected text capture indication; determining whether access to the electronic document is authorized; in response to determining that access to the electronic document is not authorized, facilitating a transaction to authorize access to the electronic document; and providing access to the electronic document. | 1. A computer-implemented method, comprising: receiving a capture of text from a rendered document for a selected text capture indication of a plurality of text capture indications, each text capture indication corresponding to a text capture operation; identifying an electronic document related to the selected text capture indication; determining whether access to the electronic document is authorized; in response to determining that access to the electronic document is not authorized, facilitating a transaction to authorize access to the electronic document; and providing access to the electronic document. 9. The method of claim 1 , wherein identifying the electronic document related to the selected text capture indication comprises a location within the electronic document corresponding to the selected text capture indication. | 0.519231 |
7,478,047 | 11 | 12 | 11. The method of claim 10 wherein said modification of pitch or duration is based at least in part on the degree of intensity of said defined emotional state. | 11. The method of claim 10 wherein said modification of pitch or duration is based at least in part on the degree of intensity of said defined emotional state. 12. The method of claim 11 further comprising changing said emotional state in response to a failure or success of a motivation or goal present in said motivational or goal state. | 0.925664 |
9,336,515 | 15 | 16 | 15. A system comprising: a data processor; a memory, coupled to the data processor, for storing instructions and data; a sponsored concept receiver to register a sponsored concept from a sponsoring company and to receive the sponsored concept submitted by the sponsoring company, the sponsored concept indicating particular subject matter about which the sponsoring company would like to converse; a topic of interest processing component to receive a first topic of interest submitted by a first user in a search query, the first topic of interest indicating particular subject matter about which the first user would like to converse and to determine, prior to establishing a conversation, if the sponsored concept and the first topic of interest fit within match criteria by comparing the sponsored concept with the first topic of interest; and a conversation link generator to generate for the first user, if the sponsored concept and the first topic of interest fit within match criteria, a link enabling the first user to establish a conversation between the first user and an agent of the sponsoring company, the link being a user interface element that can be activated by the first user, the conversation link generator being further configured to, upon activation of the link, receive a request from a computing system of the first user to establish the conversation, and to use a connection path associated with a computing system of the agent to establish the conversation between the first user and the agent of the sponsoring company. | 15. A system comprising: a data processor; a memory, coupled to the data processor, for storing instructions and data; a sponsored concept receiver to register a sponsored concept from a sponsoring company and to receive the sponsored concept submitted by the sponsoring company, the sponsored concept indicating particular subject matter about which the sponsoring company would like to converse; a topic of interest processing component to receive a first topic of interest submitted by a first user in a search query, the first topic of interest indicating particular subject matter about which the first user would like to converse and to determine, prior to establishing a conversation, if the sponsored concept and the first topic of interest fit within match criteria by comparing the sponsored concept with the first topic of interest; and a conversation link generator to generate for the first user, if the sponsored concept and the first topic of interest fit within match criteria, a link enabling the first user to establish a conversation between the first user and an agent of the sponsoring company, the link being a user interface element that can be activated by the first user, the conversation link generator being further configured to, upon activation of the link, receive a request from a computing system of the first user to establish the conversation, and to use a connection path associated with a computing system of the agent to establish the conversation between the first user and the agent of the sponsoring company. 16. The system as claimed in claim 15 wherein the link is only generated for the first user if the agent of the sponsoring company is logged on and ready to converse about the particular subject matter. | 0.878752 |
9,740,674 | 10 | 11 | 10. A computer-implemented method for performing a replace operation on a file of a spreadsheet program module, the method comprising the following steps: determining that there is no text in a replace field of a find and replace dialog of a spreadsheet; receiving at least one editable non-textual formatting attribute in the replace field of the find and replace dialog corresponding with the cell; finding cells in the spreadsheet with the editable non-textual formatting attribute in the replace field; and replacing non-textual formatting attributes of the found cells with the received editable non-textual formatting attribute for the replace operation. | 10. A computer-implemented method for performing a replace operation on a file of a spreadsheet program module, the method comprising the following steps: determining that there is no text in a replace field of a find and replace dialog of a spreadsheet; receiving at least one editable non-textual formatting attribute in the replace field of the find and replace dialog corresponding with the cell; finding cells in the spreadsheet with the editable non-textual formatting attribute in the replace field; and replacing non-textual formatting attributes of the found cells with the received editable non-textual formatting attribute for the replace operation. 11. The computer-implemented method of claim 10 , wherein receiving the least one editable non-textual formatting attribute comprises determining at least one editable non-textual formatting attribute of the cell. | 0.803867 |
7,917,838 | 13 | 14 | 13. The data file of claim 12 , wherein the second data is formatted according to a structured format of records and fields. | 13. The data file of claim 12 , wherein the second data is formatted according to a structured format of records and fields. 14. The data file of claim 13 , wherein a field includes a series of ASCII characters followed by a TAB character. | 0.945869 |
9,304,826 | 1 | 7 | 1. A method of operating an interactive self-help service, comprising: providing an application script for implementing the interactive self-help service; providing a deployment platform on an IP network having a plurality of application servers and application resources distributed over the IP network able to execute the application script; providing a specification for preferred application resources needed for executing the application script; monitoring the plurality of application resources periodically for status of each from a first node on the network to maintain an updated centralized list of the application resources prioritized by performance; selecting an application server located at a second node from the plurality of application servers on the network to execute the application script; maintaining at the selected application server a local list of application resources previously servicing the selected application server, the local list including quality of service of the application resources from the second node; selecting a central view list of application resources by querying the centralized list by resource type to conform to a predefined specification and prioritized by performance; querying the local list to select a local view list of previously contacted resources prioritized by availability and indicating a degree of success of previous browser attempts for each previously contacted resource; and executing the application script by the selected application server with application resources located dynamically from a final prioritized list created based upon the central view list filtered by using the local view list. | 1. A method of operating an interactive self-help service, comprising: providing an application script for implementing the interactive self-help service; providing a deployment platform on an IP network having a plurality of application servers and application resources distributed over the IP network able to execute the application script; providing a specification for preferred application resources needed for executing the application script; monitoring the plurality of application resources periodically for status of each from a first node on the network to maintain an updated centralized list of the application resources prioritized by performance; selecting an application server located at a second node from the plurality of application servers on the network to execute the application script; maintaining at the selected application server a local list of application resources previously servicing the selected application server, the local list including quality of service of the application resources from the second node; selecting a central view list of application resources by querying the centralized list by resource type to conform to a predefined specification and prioritized by performance; querying the local list to select a local view list of previously contacted resources prioritized by availability and indicating a degree of success of previous browser attempts for each previously contacted resource; and executing the application script by the selected application server with application resources located dynamically from a final prioritized list created based upon the central view list filtered by using the local view list. 7. The method as in claim 1 , wherein the specification for preferred application resources needed for executing the application script includes preferred media conversion proxy servers. | 0.785219 |
7,721,194 | 1 | 4 | 1. Apparatus for binding program code to portions of an XML-compliant document having a plurality of elements being arranged in a nested relationship to construct an object for accessing at least one element of the XML-compliant document, the apparatus comprising: at least one computer storage medium storing information comprising: stored information associated with the XML-compliant document, the information associated with the XML-compliant document comprising a reference to a schema document and, for each element, data and attributes representing a part of the XML-compliant document; the schema document referenced by the XML-compliant document, the schema document containing a registry which maps a tag identifying an element of the plurality of elements to program code useful for accessing data and attributes of the element; a mechanism that uses the program code to construct an object that has methods that access the data or attributes or the data and the attributes for the element and provides an interface pointer to the object to at least one process seeking to access the element of the XML-compliant document; and a storage manager configured to: receive a request for accessing a part of the XML-compliant document from an application, identify from information in the registry and at least one element of the part a program ID code associated with program code for accessing the part, make a method call on the mechanism using the program ID code for constructing the object containing the program code for accessing the part, and return to the application the interface pointer provided by the mechanism. | 1. Apparatus for binding program code to portions of an XML-compliant document having a plurality of elements being arranged in a nested relationship to construct an object for accessing at least one element of the XML-compliant document, the apparatus comprising: at least one computer storage medium storing information comprising: stored information associated with the XML-compliant document, the information associated with the XML-compliant document comprising a reference to a schema document and, for each element, data and attributes representing a part of the XML-compliant document; the schema document referenced by the XML-compliant document, the schema document containing a registry which maps a tag identifying an element of the plurality of elements to program code useful for accessing data and attributes of the element; a mechanism that uses the program code to construct an object that has methods that access the data or attributes or the data and the attributes for the element and provides an interface pointer to the object to at least one process seeking to access the element of the XML-compliant document; and a storage manager configured to: receive a request for accessing a part of the XML-compliant document from an application, identify from information in the registry and at least one element of the part a program ID code associated with program code for accessing the part, make a method call on the mechanism using the program ID code for constructing the object containing the program code for accessing the part, and return to the application the interface pointer provided by the mechanism. 4. The apparatus of claim 1 , wherein the object comprises methods for accessing at least part of the XML-compliant document stored in the at least one computer storage medium by locking access to the part. | 0.845113 |
7,823,123 | 7 | 8 | 7. The method of claim 6 , wherein invoking the translator web service to return an execution path between the input data instances on a source information system and the corresponding output representations on a target information system comprises: determining an initial execution path between data instances on the source information system and the corresponding concepts on the target information system; and invoking the service agent, wherein the service agent discovers and resolves mismatches between the source and target information systems and returns an execution path between the source data instance and the target concept. | 7. The method of claim 6 , wherein invoking the translator web service to return an execution path between the input data instances on a source information system and the corresponding output representations on a target information system comprises: determining an initial execution path between data instances on the source information system and the corresponding concepts on the target information system; and invoking the service agent, wherein the service agent discovers and resolves mismatches between the source and target information systems and returns an execution path between the source data instance and the target concept. 8. The method of claim 7 , wherein said initial execution path is determined using graph traversal algorithms. | 0.960993 |
9,563,694 | 12 | 13 | 12. A specialized computer system, for delivering search results based upon any category selected by a user, the system comprising: a) a specialized computer processor, the specialized computer processor configured to receive a search criteria and a user preference dictating a display of search results, wherein the user preference comprises specific instructions corresponding to at least one of font size, text color, and background of output information, further wherein the search results comprise cross references and triangulations pertaining to the search criteria, further wherein the search criteria is selected from a group consisting of financial data associated with an entity's portfolio of intellectual property and patent documents cross referenced to the entity; b) a specialized non-transitory computer readable medium in communication with the specialized computer processor configured to store the search criteria and the user preference; c) a specialized server in communication with the specialized processor and in communication with a patent database, the specialized server configured to search for the patent documents within the patent database retrieve the patent documents, and send the patent documents to the specialized computer processor; and d) upon receipt of patent documents, the specialized processor creates the search results and analyzes the search result documents to: identify identities of key individuals involved in developing technology disclosed in the search result documents; perform at least one of: sorting the search result documents based on user defined criteria; and ranking of the search result documents based on the disclosed technology, the search results comprising a textual description of each of the search results, the identities of the identified key individuals, and a statistical representation of one or more of the search results in a single view in conformance with the user preference, wherein the search result documents comprise a display of an estimated financial value of one or more patent owning entities, and wherein the financial value is estimated, and wherein the estimated financial value is generated based on mapping of one or more financial attributes to one or more patent attributes. | 12. A specialized computer system, for delivering search results based upon any category selected by a user, the system comprising: a) a specialized computer processor, the specialized computer processor configured to receive a search criteria and a user preference dictating a display of search results, wherein the user preference comprises specific instructions corresponding to at least one of font size, text color, and background of output information, further wherein the search results comprise cross references and triangulations pertaining to the search criteria, further wherein the search criteria is selected from a group consisting of financial data associated with an entity's portfolio of intellectual property and patent documents cross referenced to the entity; b) a specialized non-transitory computer readable medium in communication with the specialized computer processor configured to store the search criteria and the user preference; c) a specialized server in communication with the specialized processor and in communication with a patent database, the specialized server configured to search for the patent documents within the patent database retrieve the patent documents, and send the patent documents to the specialized computer processor; and d) upon receipt of patent documents, the specialized processor creates the search results and analyzes the search result documents to: identify identities of key individuals involved in developing technology disclosed in the search result documents; perform at least one of: sorting the search result documents based on user defined criteria; and ranking of the search result documents based on the disclosed technology, the search results comprising a textual description of each of the search results, the identities of the identified key individuals, and a statistical representation of one or more of the search results in a single view in conformance with the user preference, wherein the search result documents comprise a display of an estimated financial value of one or more patent owning entities, and wherein the financial value is estimated, and wherein the estimated financial value is generated based on mapping of one or more financial attributes to one or more patent attributes. 13. The specialized computer system of claim 12 , wherein the specialized processor performs a statistical analysis of patent documents owned by a selected patent owning entity. | 0.610132 |
8,856,863 | 17 | 18 | 17. The apparatus according to claim 14 , further comprising a decision support tool for providing the electronic data representing information based on the analysis of the correspondence to an operator readable medium. | 17. The apparatus according to claim 14 , further comprising a decision support tool for providing the electronic data representing information based on the analysis of the correspondence to an operator readable medium. 18. The apparatus according to claim 17 , wherein the operator readable medium includes a display device. | 0.959954 |
9,355,568 | 1 | 2 | 1. A method for utilizing an electronic reader to provide output by the electronic reader at a rate corresponding to a user in order to overcome a lack of user-specific focus, the method comprising: providing, by a processor of a computer system, a text for digital access within the computer system, the computer system comprising a tactile input device and a visually perceptible output device; displaying, by the processor, a first page of the text on the visually perceptible output device; providing, by the processor, a user-controlled visualization in which the first page is configured to be turned to reveal a second page, wherein as the first page turns, a first perimeter of the first page is configured to appear to be peeled away from its original position, such that a portion of the first page appears to pivot about an axis, and such that the first portion of the first page appears to be placed face down to reveal the second page; causing, by the processor, the first perimeter to appear as though it is curling back from its original position when a user passes a pointer over the first perimeter; causing, by the processor, the first perimeter of the first page to appear to be peeled away from its original position and the first page to be turned when the user hard selects the first perimeter, wherein the hard selection comprises an action that is different than passing the pointer over the first perimeter; and visually emphasizing, via the processor, a word of the text through the visually perceptible output device so as to distinguish the word from a surrounding word in the text when the pointer passes over or near the word from any direction, wherein the word is at least one of: (a) audibly and visually emphasized at a rate determined by the user when the pointer passes over or near the word in a reading direction, and wherein the pointer is required to pass over or near the word in the reading direction in order for the word to be both audibly and visually emphasized, and (b) visually distinguished on the visually perceptible output device from the surrounding word through a first selection process which occurs when the pointer passes over or near the word, and in which the word is audibly emphasized when the word is selected through a second selection process that comprises an action that is different from the first selection process, and wherein a report of words selected through the second selection process is generated. | 1. A method for utilizing an electronic reader to provide output by the electronic reader at a rate corresponding to a user in order to overcome a lack of user-specific focus, the method comprising: providing, by a processor of a computer system, a text for digital access within the computer system, the computer system comprising a tactile input device and a visually perceptible output device; displaying, by the processor, a first page of the text on the visually perceptible output device; providing, by the processor, a user-controlled visualization in which the first page is configured to be turned to reveal a second page, wherein as the first page turns, a first perimeter of the first page is configured to appear to be peeled away from its original position, such that a portion of the first page appears to pivot about an axis, and such that the first portion of the first page appears to be placed face down to reveal the second page; causing, by the processor, the first perimeter to appear as though it is curling back from its original position when a user passes a pointer over the first perimeter; causing, by the processor, the first perimeter of the first page to appear to be peeled away from its original position and the first page to be turned when the user hard selects the first perimeter, wherein the hard selection comprises an action that is different than passing the pointer over the first perimeter; and visually emphasizing, via the processor, a word of the text through the visually perceptible output device so as to distinguish the word from a surrounding word in the text when the pointer passes over or near the word from any direction, wherein the word is at least one of: (a) audibly and visually emphasized at a rate determined by the user when the pointer passes over or near the word in a reading direction, and wherein the pointer is required to pass over or near the word in the reading direction in order for the word to be both audibly and visually emphasized, and (b) visually distinguished on the visually perceptible output device from the surrounding word through a first selection process which occurs when the pointer passes over or near the word, and in which the word is audibly emphasized when the word is selected through a second selection process that comprises an action that is different from the first selection process, and wherein a report of words selected through the second selection process is generated. 2. The method of claim 1 , wherein the axis is disposed within the first page between the first perimeter and a second perimeter that is disposed substantially opposite to the first perimeter, and wherein the first perimeter of the first page is configured to be peeled over to the second perimeter of the first page as the first page is turned. | 0.501445 |
9,632,985 | 74 | 82 | 74. A system for electronic learning comprising: one or more memories storing instructions and one or more processors that execute the instructions by: receiving a digital specification in a first language and pre-processed media data of at least one interactive content presentation object for an electronic reading device having one of a plurality of heterogeneous execution environments, wherein the respective execution environment has platform-dependent capabilities and user interface elements wherein the at least one interactive content presentation object is presented with a look and feel of a user interface of the electronic reading device, and wherein the media data is pre-processed to adjust for the platform-dependent capabilities of the execution environment and to ensure the consistent layout within and around the at least one interactive content presentation object across heterogeneous execution environments; parsing the digital specification, and responsive to instructions contained in the digital specification, presenting, in a first execution environment, one or more interactive content presentation objects and one or more interactive assessment objects by converting the instructions in the digital specification to a second language which is executed by one or more computer processors; receiving content interaction data corresponding to user interactions with the interactive content presentation objects and to send the interaction to an interaction server; receiving a second content interaction data corresponding to user interactions with the interactive content presentation objects from the interaction server, the second content interaction data having been received at the interaction server responsive to second user interactions with the digital specification as rendered in a second execution environment different from the first execution environment and within which the digital specification was presented with a consistent layout within and around the interactive content presentation objects and interactive assessment objects in comparison to the digital specification in the first execution environment, and presenting the second digital interaction; and sending assessment data corresponding to user interactions with the interactive assessment objects from the execution environment. | 74. A system for electronic learning comprising: one or more memories storing instructions and one or more processors that execute the instructions by: receiving a digital specification in a first language and pre-processed media data of at least one interactive content presentation object for an electronic reading device having one of a plurality of heterogeneous execution environments, wherein the respective execution environment has platform-dependent capabilities and user interface elements wherein the at least one interactive content presentation object is presented with a look and feel of a user interface of the electronic reading device, and wherein the media data is pre-processed to adjust for the platform-dependent capabilities of the execution environment and to ensure the consistent layout within and around the at least one interactive content presentation object across heterogeneous execution environments; parsing the digital specification, and responsive to instructions contained in the digital specification, presenting, in a first execution environment, one or more interactive content presentation objects and one or more interactive assessment objects by converting the instructions in the digital specification to a second language which is executed by one or more computer processors; receiving content interaction data corresponding to user interactions with the interactive content presentation objects and to send the interaction to an interaction server; receiving a second content interaction data corresponding to user interactions with the interactive content presentation objects from the interaction server, the second content interaction data having been received at the interaction server responsive to second user interactions with the digital specification as rendered in a second execution environment different from the first execution environment and within which the digital specification was presented with a consistent layout within and around the interactive content presentation objects and interactive assessment objects in comparison to the digital specification in the first execution environment, and presenting the second digital interaction; and sending assessment data corresponding to user interactions with the interactive assessment objects from the execution environment. 82. The system of claim 74 , wherein the one or more interactive content presentation objects and one or more interactive assessment objects includes a slideshow object, which comprises a plurality of images in independent displays. | 0.745614 |
8,631,036 | 7 | 8 | 7. The method of claim 1 , further comprising maintaining the user profile data based on past search sessions of the user. | 7. The method of claim 1 , further comprising maintaining the user profile data based on past search sessions of the user. 8. The method of claim 7 comprising customizing, based on the user profile data, the subsequent search result for receipt by the user. | 0.946528 |
8,463,715 | 81 | 82 | 81. The method of claim 80 , further comprising: displaying the representation on a display screen. | 81. The method of claim 80 , further comprising: displaying the representation on a display screen. 82. The method of claim 81 , wherein the marking includes highlighting each said at least one occurrence of each said at least one required skill or experience-related phrase, or each said at least one implying phrase for said at least one required skill or experience-related phrase, or displaying in reverse video each said at least one occurrence of each said at least one required skill or experience-related phrase, or each said at least one implying phrase for said at least one required skill or experience-related phrase. | 0.899276 |
9,697,186 | 1 | 6 | 1. A method comprising: extracting a portion of style information from at least one source of style information, the portion of style information extracted corresponding to content that is identified by a user for copying from a source document, at least some of the style information being demarcated separately from the user-identified content, and the portion of style information being extracted from a source of style information that is external to the source document from which the user-identified content is identified responsive to a determination that the at least one source of style information includes an external source of style information; storing the portion of style information that is extracted with the user-identified content that is extracted in a clipboard store; and responsive to input to paste at least one portion of the stored content at a specified location within a target document, reconstructing the at least one portion of stored content at the specified location using the extracted portion of style information to have a same visual appearance at the specified location as in the source document. | 1. A method comprising: extracting a portion of style information from at least one source of style information, the portion of style information extracted corresponding to content that is identified by a user for copying from a source document, at least some of the style information being demarcated separately from the user-identified content, and the portion of style information being extracted from a source of style information that is external to the source document from which the user-identified content is identified responsive to a determination that the at least one source of style information includes an external source of style information; storing the portion of style information that is extracted with the user-identified content that is extracted in a clipboard store; and responsive to input to paste at least one portion of the stored content at a specified location within a target document, reconstructing the at least one portion of stored content at the specified location using the extracted portion of style information to have a same visual appearance at the specified location as in the source document. 6. The method as recited in claim 1 , further comprising determining which of the style information included in the at least one source of style information to extract. | 0.876106 |
9,442,970 | 6 | 7 | 6. The method of claim 1 , further comprising the step of creating a database record for each document action request, wherein the database record comprises document data and document metadata. | 6. The method of claim 1 , further comprising the step of creating a database record for each document action request, wherein the database record comprises document data and document metadata. 7. The method of claim 6 , wherein the document metadata comprises the timestamp for said document action request. | 0.962351 |
10,109,264 | 9 | 10 | 9. The method of claim 1 further comprising: receiving feedback from the user subsequent to the user listening to the musical composition; re-configuring the reinforcement learning model based on the feedback; and generating a subsequent musical composition using the reconfigured reinforcement learning model. | 9. The method of claim 1 further comprising: receiving feedback from the user subsequent to the user listening to the musical composition; re-configuring the reinforcement learning model based on the feedback; and generating a subsequent musical composition using the reconfigured reinforcement learning model. 10. The method of claim 9 wherein the feedback corresponds to a selected section from a plurality of sections included in the musical composition. | 0.953205 |
7,650,058 | 1 | 13 | 1. A system for selective video recording, comprising: a video camera that provides output video; a video separator that separates the output video into object video including one or more objects and background video against which the one or more objects appear; a video analysis module that respectively identifies each of the one or more objects as a predetermined type of object by tracking each of the one or more objects over two or more video frames; and a storage control module that independently stores the object video and background video, an object from the one or more objects being associated with an image header having an indication that the object is one of several predetermined types of objects, the image header having coordinate data associated with a position of the object in relation to the background video, the background video being associated with an image header having an indication that the background video is a background video, wherein each of the one or more objects is recorded at a respective frame rate corresponding to the predetermined type of object identified by the video analysis module. | 1. A system for selective video recording, comprising: a video camera that provides output video; a video separator that separates the output video into object video including one or more objects and background video against which the one or more objects appear; a video analysis module that respectively identifies each of the one or more objects as a predetermined type of object by tracking each of the one or more objects over two or more video frames; and a storage control module that independently stores the object video and background video, an object from the one or more objects being associated with an image header having an indication that the object is one of several predetermined types of objects, the image header having coordinate data associated with a position of the object in relation to the background video, the background video being associated with an image header having an indication that the background video is a background video, wherein each of the one or more objects is recorded at a respective frame rate corresponding to the predetermined type of object identified by the video analysis module. 13. The system of claim 1 , wherein the object from the one or more objects is a first object, a second object from the one or more objects being associated with an image header having an indication that the second object is an object and having coordinate data associated with a position of the second object in relation to the background video. | 0.638075 |
7,987,169 | 50 | 54 | 50. A machine implemented method comprising: receiving a content page and one or more advertisements or access information of the one or more advertisements, by an advertising engine operated by one or more computing devices; determining by the advertising engine relative relevance of one or more advertisements to a content page, the determining including scoring an advertisement for relative relevance to the content page by scoring relative relevance of one or more structures of the content page to a composite search expression, wherein a structure includes substructures, and the composite search expression is formed by correspondingly associating a user search expression with a search expression associated with the advertisement being scored, wherein the generating of a score for a structure is based at least in part on a distance function and a scoring function, wherein the distance function measures distances between sub-structures within the structure being scored to facilitate determining of mutual relevance of occurrence positions, and wherein the scoring function is positionally sensitive, yielding different scores for at least some different occurrence positions of the composite search expression in substructures of the structure being scored, irrespective of substructure category memberships; and conditionally selecting or not selecting one or more of the advertisements for rendering with the content page or one or more portions of the content page by a content searching or consuming application, based at least in part on the scoring of the one or more advertisements, the content searching or consuming application being operated on one or more different or same computing devices as the advertising engine. | 50. A machine implemented method comprising: receiving a content page and one or more advertisements or access information of the one or more advertisements, by an advertising engine operated by one or more computing devices; determining by the advertising engine relative relevance of one or more advertisements to a content page, the determining including scoring an advertisement for relative relevance to the content page by scoring relative relevance of one or more structures of the content page to a composite search expression, wherein a structure includes substructures, and the composite search expression is formed by correspondingly associating a user search expression with a search expression associated with the advertisement being scored, wherein the generating of a score for a structure is based at least in part on a distance function and a scoring function, wherein the distance function measures distances between sub-structures within the structure being scored to facilitate determining of mutual relevance of occurrence positions, and wherein the scoring function is positionally sensitive, yielding different scores for at least some different occurrence positions of the composite search expression in substructures of the structure being scored, irrespective of substructure category memberships; and conditionally selecting or not selecting one or more of the advertisements for rendering with the content page or one or more portions of the content page by a content searching or consuming application, based at least in part on the scoring of the one or more advertisements, the content searching or consuming application being operated on one or more different or same computing devices as the advertising engine. 54. The method of claim 50 , wherein the content page comprises a web page of a web application, a XML document in a XML repository, a document in a document corpus, or a database object in a database. | 0.893875 |
8,959,016 | 12 | 17 | 12. A processing device to perform an action based on receipt of and/or exposure to audio, the processing device comprising: an input device to receive audio carrying a monitoring code indicating that the audio is to be monitored; and a processor to detect the monitoring code and, in response to detection of the monitoring code, generate a signature characterizing the audio using at least a portion of the audio containing the monitoring code, wherein the processor is to cause the performance of the action based on at least one of the monitoring code or the signature. | 12. A processing device to perform an action based on receipt of and/or exposure to audio, the processing device comprising: an input device to receive audio carrying a monitoring code indicating that the audio is to be monitored; and a processor to detect the monitoring code and, in response to detection of the monitoring code, generate a signature characterizing the audio using at least a portion of the audio containing the monitoring code, wherein the processor is to cause the performance of the action based on at least one of the monitoring code or the signature. 17. The processing device according to claim 12 , wherein the action comprises processing at least one of the monitoring code or the signature on the device to at least one of execute a link, present media, display a web page, or activate software. | 0.666667 |
8,734,158 | 15 | 17 | 15. A mathematical learning system comprised of a plurality of unique geometric shapes, wherein basic math operations can be calculated by visualizing and manipulating the plurality of unique geometric shapes; the plurality of geometric shapes comprising unique geometric shapes, each unique geometric shape having a specific value ranging 1-10, wherein the unique geometric shape having a value of 10 is formed by manipulating any combination of unique geometric shapes that when their specific values are added together equals the value of 10; wherein the plurality of geometric shapes are comprised of physical, written or digitized substrates, and wherein small triangles with a value of 1 form larger unique geometric shapes, each larger unique geometric shape representing a specific value from 2 to 10; wherein a large square having a value of 10 is comprised by manipulating any combination of unique geometric shapes that when their specific values are added together equal the value of 10. | 15. A mathematical learning system comprised of a plurality of unique geometric shapes, wherein basic math operations can be calculated by visualizing and manipulating the plurality of unique geometric shapes; the plurality of geometric shapes comprising unique geometric shapes, each unique geometric shape having a specific value ranging 1-10, wherein the unique geometric shape having a value of 10 is formed by manipulating any combination of unique geometric shapes that when their specific values are added together equals the value of 10; wherein the plurality of geometric shapes are comprised of physical, written or digitized substrates, and wherein small triangles with a value of 1 form larger unique geometric shapes, each larger unique geometric shape representing a specific value from 2 to 10; wherein a large square having a value of 10 is comprised by manipulating any combination of unique geometric shapes that when their specific values are added together equal the value of 10. 17. The mathematical system of claim 15 , wherein each unique geometric shape has a specific color. | 0.945364 |
8,984,387 | 1 | 6 | 1. A method comprising: enabling a set of users to interact with a system over a network, wherein a first user and a plurality of second users belong to the set of users; generating, for the first user, within the system, content for one or more application displays to be displayed to the first user; receiving, by the system, from each user from the plurality of second users, a corresponding specification of interest in being notified about interactions of the first user; in response to receiving first text that was input by the first user, the system performing the steps of: adding the first text to sharable content, wherein the sharable content includes at least a portion of content from the one or more application displays that were generated for the first user; and causing display of first information, in a respective application display of each user from the plurality of second users, based, at least in part, on the corresponding specification of interest of each user of the plurality of second users, wherein the first information includes an access identifier that provides access to the sharable content; receiving, from a particular second user of the plurality of second users, a specification of interest in being notified about interactions of another user, wherein the other user is a different user than the first user and the particular second user; in response to receiving particular text that was input by the other user, the system causing display of another information in the respective application display of the particular second user, based, at least in part, on the specification of interest in being notified about interactions of the other user, wherein the other information includes at least a portion of the particular text; and wherein the other information is concurrently displayed with the first information in the respective application display of the particular second user. | 1. A method comprising: enabling a set of users to interact with a system over a network, wherein a first user and a plurality of second users belong to the set of users; generating, for the first user, within the system, content for one or more application displays to be displayed to the first user; receiving, by the system, from each user from the plurality of second users, a corresponding specification of interest in being notified about interactions of the first user; in response to receiving first text that was input by the first user, the system performing the steps of: adding the first text to sharable content, wherein the sharable content includes at least a portion of content from the one or more application displays that were generated for the first user; and causing display of first information, in a respective application display of each user from the plurality of second users, based, at least in part, on the corresponding specification of interest of each user of the plurality of second users, wherein the first information includes an access identifier that provides access to the sharable content; receiving, from a particular second user of the plurality of second users, a specification of interest in being notified about interactions of another user, wherein the other user is a different user than the first user and the particular second user; in response to receiving particular text that was input by the other user, the system causing display of another information in the respective application display of the particular second user, based, at least in part, on the specification of interest in being notified about interactions of the other user, wherein the other information includes at least a portion of the particular text; and wherein the other information is concurrently displayed with the first information in the respective application display of the particular second user. 6. The method of claim 1 wherein receiving the first text comprises receiving text that was input in a text entry interface that is related to the sharable content. | 0.931323 |
8,572,071 | 19 | 20 | 19. The non-transitory computer readable storage medium of claim 18 wherein the unifying function acts as a filter and prevents attributes that exhibit a same distribution in both subspaces X 1 (i) and X 0 (i) from influencing the transformation of attribute i. | 19. The non-transitory computer readable storage medium of claim 18 wherein the unifying function acts as a filter and prevents attributes that exhibit a same distribution in both subspaces X 1 (i) and X 0 (i) from influencing the transformation of attribute i. 20. The non-transitory computer readable storage medium of claim 19 wherein, given a set X ⊂ X of n-dimensional boolean vectors, two disjoint subsets determined by some attribute i are denoted as X 1 (i)={x:x i =1, xεX} and X 0 (i)=XX 1 (i), φ(i,X) denotes a subset of higher-order paths that contain attribute i in a dataset X, and Φ(X) denotes a set of higher-order paths in X, and a conditional higher-order probability mass function is defined as P ′ ( x i ❘ x 1 , … , x n ) = P ′ ( x 1 , … , x n ❘ X x i ( i ) ) P ′ ( X x i ( i ) ) P ′ ( x 1 , … , x n ) , where higher-order probability P′(X x i (i)) of subset X x i (i) is estimated by the ratio of number of higher-order paths in that subset, P ′ ( X x i ( i ) ) = Φ ( X x i ( i ) ) Φ ( X 1 ( i ) ) + Φ ( X 0 ( i ) ) . | 0.8121 |
9,842,308 | 1 | 5 | 1. A method for generating shipping rules configured to make shipping decisions on behalf of a user, said method comprising: compiling, by a processor-based system of a shipping services operator, raw shipping data based on shipments made by a plurality of shippers, wherein, for each of the shipments made by the plurality of shippers, the raw shipping data comprises at least one of shipment weight information, address information, shipment size information, shipping container type information, and item type information; compiling, by the processor-based system, user defined data comprising information associated with at least one of one or more customer categories, one or more pricing categories, one or more delivery time categories, and one or more quality of service levels provided to said processor-based system by said user; deriving information associated with one or more shipments to generate derived data, the derived data comprising at least one of calculated shipping rates, delivery dates, and delivery times; automatically constructing, by said processor-based system for said user, a plurality of shipping processing rules for making shipping decisions, wherein the plurality of shipping processing rules are constructed based on rule parameters and a data set, wherein the rule parameters comprise conditions and operators, the conditions comprising shipping attribute information for making shipping processing decisions, determinations, or both, the operators comprising at least one of logical operators and mathematical operators that are applied to said conditions to make said shipping processing decisions, determinations, or both, determinations, or both, wherein the data set comprises the raw shipping data, the user defined data, and the derived data, and wherein constructing, by said processor-based system, the plurality of shipping processing rules comprises constructing at least one shipping processing rule configured to select, based on an amount of time that a customer has been using a service offered by said user, a type of shipping service for shipment of an item purchased from said user by said customer; analyzing, by said processor-based system, the plurality of shipping processing rules to select shipping processing rules that define a set of shipping processing rules for generating postage indicia for said user, wherein said set of shipping processing rules includes said at least one shipping processing rule constructed based, at least in part, on said amount of time that said customer has been using said service, wherein said analyzing comprises: analyzing, by said processor-based system, said plurality of shipping processing rules to identify whether a conflict exists between at least two shipping processing rules, wherein a conflict is identified based on a determination that applying the same conditions to said at least two shipping processing rules presents different shipping decisions; and automatically resolving, by said processor-based system, said conflict between said at least two shipping processing rules based on a conflict resolution parameter that specifies an outcome criterion, wherein automatically resolving the conflict comprises: identifying, by said processor-based system, a particular shipping processing rule of the at least two shipping processing rules that satisfies the outcome criterion, wherein, when the outcome criterion is a time-based outcome criterion, the particular shipping processing rule of the at least two shipping processing rules that satisfies the outcome criterion corresponds to a shipping processing rule that provides a most rapid delivery time, wherein, when the outcome criterion is a cost-based outcome criterion, the particular shipping processing rule of the at least two shipping processing rules that satisfies the outcome criterion corresponds to a shipping processing rule that provides a lowest shipping cost, wherein, when the outcome criterion is a level of service-based outcome criterion, the particular shipping processing rule of the at least two shipping processing rules that satisfies the outcome criterion corresponds to a shipping processing rule that provides a highest level of service; and selecting, by said processor-based system, the particular shipping processing rule that satisfies the outcome criterion for inclusion in the set of shipping processing rules; and generating a postage indicium for an item to be shipped, wherein said generating comprises: receiving shipping information for said item to be shipped, and utilizing said set of shipping processing rules and said shipping information to generate said postage indicium for said item to be shipped. | 1. A method for generating shipping rules configured to make shipping decisions on behalf of a user, said method comprising: compiling, by a processor-based system of a shipping services operator, raw shipping data based on shipments made by a plurality of shippers, wherein, for each of the shipments made by the plurality of shippers, the raw shipping data comprises at least one of shipment weight information, address information, shipment size information, shipping container type information, and item type information; compiling, by the processor-based system, user defined data comprising information associated with at least one of one or more customer categories, one or more pricing categories, one or more delivery time categories, and one or more quality of service levels provided to said processor-based system by said user; deriving information associated with one or more shipments to generate derived data, the derived data comprising at least one of calculated shipping rates, delivery dates, and delivery times; automatically constructing, by said processor-based system for said user, a plurality of shipping processing rules for making shipping decisions, wherein the plurality of shipping processing rules are constructed based on rule parameters and a data set, wherein the rule parameters comprise conditions and operators, the conditions comprising shipping attribute information for making shipping processing decisions, determinations, or both, the operators comprising at least one of logical operators and mathematical operators that are applied to said conditions to make said shipping processing decisions, determinations, or both, determinations, or both, wherein the data set comprises the raw shipping data, the user defined data, and the derived data, and wherein constructing, by said processor-based system, the plurality of shipping processing rules comprises constructing at least one shipping processing rule configured to select, based on an amount of time that a customer has been using a service offered by said user, a type of shipping service for shipment of an item purchased from said user by said customer; analyzing, by said processor-based system, the plurality of shipping processing rules to select shipping processing rules that define a set of shipping processing rules for generating postage indicia for said user, wherein said set of shipping processing rules includes said at least one shipping processing rule constructed based, at least in part, on said amount of time that said customer has been using said service, wherein said analyzing comprises: analyzing, by said processor-based system, said plurality of shipping processing rules to identify whether a conflict exists between at least two shipping processing rules, wherein a conflict is identified based on a determination that applying the same conditions to said at least two shipping processing rules presents different shipping decisions; and automatically resolving, by said processor-based system, said conflict between said at least two shipping processing rules based on a conflict resolution parameter that specifies an outcome criterion, wherein automatically resolving the conflict comprises: identifying, by said processor-based system, a particular shipping processing rule of the at least two shipping processing rules that satisfies the outcome criterion, wherein, when the outcome criterion is a time-based outcome criterion, the particular shipping processing rule of the at least two shipping processing rules that satisfies the outcome criterion corresponds to a shipping processing rule that provides a most rapid delivery time, wherein, when the outcome criterion is a cost-based outcome criterion, the particular shipping processing rule of the at least two shipping processing rules that satisfies the outcome criterion corresponds to a shipping processing rule that provides a lowest shipping cost, wherein, when the outcome criterion is a level of service-based outcome criterion, the particular shipping processing rule of the at least two shipping processing rules that satisfies the outcome criterion corresponds to a shipping processing rule that provides a highest level of service; and selecting, by said processor-based system, the particular shipping processing rule that satisfies the outcome criterion for inclusion in the set of shipping processing rules; and generating a postage indicium for an item to be shipped, wherein said generating comprises: receiving shipping information for said item to be shipped, and utilizing said set of shipping processing rules and said shipping information to generate said postage indicium for said item to be shipped. 5. The method of claim 1 further comprising: establishing a hierarchy of said plurality of shipping processing rules. | 0.928309 |
9,715,553 | 16 | 17 | 16. The method of claim 13 , wherein the predetermined distance is a radial distance from the current location and is further determined based on a desired number of points of interest to be retrieved. | 16. The method of claim 13 , wherein the predetermined distance is a radial distance from the current location and is further determined based on a desired number of points of interest to be retrieved. 17. The method of claim 16 , wherein the predetermined distance is determined according to the following formula, where R represents the predetermined distance, n represents the desired number of points of interest to be retrieved and D represents the density: R = n × 1000 2 π × D . | 0.911728 |
7,493,247 | 1 | 10 | 1. A system for analyzing user logic in an integrated circuit under test (ICUT), said ICUT including: a user logic (UL) region including a logic circuit operable synchronously with an applied periodic clock, said logic circuit having a plurality of nodes and one or more UL signal lines, each of said UL signal lines extending from an associated one of said nodes, wherein signals on one or more of said UL signal lines are representative of binary values at said associated nodes as a function of time, and a debug logic (DL) region including: a tracer having one or more tracer (T) input lines, wherein said tracer is responsive to signals on one or more of said T input lines to generate ICUT-based traces, said ICUT-based traces being representative of a succession of states of said user logic circuit over a plurality of cycles of said periodic clock, a reconfigurable router responsive to an applied router configuration signal to couple selected ones of said UL signal lines to selected ones of said T input lines, a reconfigurable logic responsive to an applied assertion analysis control signal to generate an assertion evaluation signal representative of an evaluation of one or more applied assertions over a succession of clock cycles, wherein said system comprises: A. a model checker compiler responsive to an applied design description for said ICUT, zero, one or more applied constraints C, an applied initial state I, and one or more applied assertions, to generate basic logic, B. a model checker engine responsive to said basic logic to (i) construct a state graph extending from said applied initial state I and representative of plurality of reachable states for said design description with respect to said applied constraints C, and (ii) evaluate said assertions over a subset of said states reachable from said initial state I, and to generate model checker-based traces representative of said evaluation of said assertions over said subset, and C. a controller responsive to said basic logic relative to I, C, and said assertions, to generate said router configuration signal for application to said reconfigurable router of said ICUT and transfer said router configuration signal to said reconfigurable router, and being adapted to receive said ICUT-based traces and transfer said received ICUT-based traces to said model checker engine, and wherein said controller is responsive to said model checker engine to generate said assertion analysis control signal and apply said assertion analysis control signal to said reconfigurable logic. | 1. A system for analyzing user logic in an integrated circuit under test (ICUT), said ICUT including: a user logic (UL) region including a logic circuit operable synchronously with an applied periodic clock, said logic circuit having a plurality of nodes and one or more UL signal lines, each of said UL signal lines extending from an associated one of said nodes, wherein signals on one or more of said UL signal lines are representative of binary values at said associated nodes as a function of time, and a debug logic (DL) region including: a tracer having one or more tracer (T) input lines, wherein said tracer is responsive to signals on one or more of said T input lines to generate ICUT-based traces, said ICUT-based traces being representative of a succession of states of said user logic circuit over a plurality of cycles of said periodic clock, a reconfigurable router responsive to an applied router configuration signal to couple selected ones of said UL signal lines to selected ones of said T input lines, a reconfigurable logic responsive to an applied assertion analysis control signal to generate an assertion evaluation signal representative of an evaluation of one or more applied assertions over a succession of clock cycles, wherein said system comprises: A. a model checker compiler responsive to an applied design description for said ICUT, zero, one or more applied constraints C, an applied initial state I, and one or more applied assertions, to generate basic logic, B. a model checker engine responsive to said basic logic to (i) construct a state graph extending from said applied initial state I and representative of plurality of reachable states for said design description with respect to said applied constraints C, and (ii) evaluate said assertions over a subset of said states reachable from said initial state I, and to generate model checker-based traces representative of said evaluation of said assertions over said subset, and C. a controller responsive to said basic logic relative to I, C, and said assertions, to generate said router configuration signal for application to said reconfigurable router of said ICUT and transfer said router configuration signal to said reconfigurable router, and being adapted to receive said ICUT-based traces and transfer said received ICUT-based traces to said model checker engine, and wherein said controller is responsive to said model checker engine to generate said assertion analysis control signal and apply said assertion analysis control signal to said reconfigurable logic. 10. A system according to claim 1 wherein said model checker engine includes means responsive to said ICUT-based trace, for identifying an assertion failure and a state of said ICUT associated therewith, and for generating a new initial state corresponding to a state of said ICUT prior to said state associated with said assertion failure in said graph, and for redeveloping said basic logic by defining said graph extending from said new initial state. | 0.546906 |
9,582,551 | 10 | 13 | 10. A system operable to represent data, the system comprising: a collector operable to collect pieces of communication data from a plurality of sources, wherein each piece of the communication data is related to two or more participants and each participant is related to one or more pieces of the communication data; a processor operable to normalize the pieces of communication data from the plurality of sources such that each piece of communication data includes multiple common fields; and a displayer operable to display an online time tracking view that represents participant sign-in and sign-out times, wherein the online tracking view includes, for one or more participants, a candlestick, wherein the length of the candlestick represents the associated participant's continuous log-in time, the online time tracking view comprising a first axis that represents time and a second axis that represents participants, a plurality of candlesticks associated with particular participants being displayed near the intersection of columns respectively associated with the participants and rows respectively associated with times. | 10. A system operable to represent data, the system comprising: a collector operable to collect pieces of communication data from a plurality of sources, wherein each piece of the communication data is related to two or more participants and each participant is related to one or more pieces of the communication data; a processor operable to normalize the pieces of communication data from the plurality of sources such that each piece of communication data includes multiple common fields; and a displayer operable to display an online time tracking view that represents participant sign-in and sign-out times, wherein the online tracking view includes, for one or more participants, a candlestick, wherein the length of the candlestick represents the associated participant's continuous log-in time, the online time tracking view comprising a first axis that represents time and a second axis that represents participants, a plurality of candlesticks associated with particular participants being displayed near the intersection of columns respectively associated with the participants and rows respectively associated with times. 13. The system of claim 10 , wherein the processor is operable to normalize the pieces of communication data from the plurality of sources such that each piece of communication data includes multiple common fields. | 0.64918 |
7,577,902 | 12 | 15 | 12. The method of claim 1 , wherein a user annotates the second layer by applying a single stroke to the specified area of the three-dimensional page. | 12. The method of claim 1 , wherein a user annotates the second layer by applying a single stroke to the specified area of the three-dimensional page. 15. The method of claim 12 , wherein the stroke comprises multiple annotation events. | 0.960757 |
8,001,179 | 1 | 23 | 1. A computationally-implemented system, comprising: means for acquiring a first inference data indicative of an inferred mental state of a first authoring user in connection with a particular item of an electronic document, wherein said means for acquiring a first inference data indicative of an inferred mental state of a first authoring user in connection with a particular item of an electronic document comprises: means for receiving a first inference data indicative of an inferred mental state of the first authoring user in connection with the particular item, wherein said means for receiving a first inference data indicative of an inferred mental state of the first authoring user in connection with the particular item comprises: means for receiving a first inference data indicative of an inferred mental state of the first authoring user that was obtained based, at least in part, on one or more physical characteristics of the first authoring user sensed during or proximate to an action executed in connection with the particular item and performed, at least in part, by the first authoring user; means for acquiring a second inference data indicative of an inferred mental state of a second authoring user in connection with the particular item of the electronic document; means for comparing the first inference data with the second inference data; and means for presenting data indicative of an extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user based, at least in part, on said comparing. | 1. A computationally-implemented system, comprising: means for acquiring a first inference data indicative of an inferred mental state of a first authoring user in connection with a particular item of an electronic document, wherein said means for acquiring a first inference data indicative of an inferred mental state of a first authoring user in connection with a particular item of an electronic document comprises: means for receiving a first inference data indicative of an inferred mental state of the first authoring user in connection with the particular item, wherein said means for receiving a first inference data indicative of an inferred mental state of the first authoring user in connection with the particular item comprises: means for receiving a first inference data indicative of an inferred mental state of the first authoring user that was obtained based, at least in part, on one or more physical characteristics of the first authoring user sensed during or proximate to an action executed in connection with the particular item and performed, at least in part, by the first authoring user; means for acquiring a second inference data indicative of an inferred mental state of a second authoring user in connection with the particular item of the electronic document; means for comparing the first inference data with the second inference data; and means for presenting data indicative of an extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user based, at least in part, on said comparing. 23. The computationally-implemented system of claim 1 , wherein said means for presenting data indicative of an extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user based, at least in part, on said comparing comprises: means for transmitting the data indicative of the extent of congruity between the inferred mental state of the first authoring user and the inferred mental state of the second authoring user to a receiving user through at least one of a wireless network or a wired network. | 0.580318 |
8,141,036 | 9 | 16 | 9. A computer implemented method for editing computer software code, the method comprising: defining a Java® programming language annotation that comprises an annotation identifier, a plurality of members, a value for each member, and an associated language for each value of each member, wherein each associated language is indicated within the annotation, and wherein defining the annotation creates an interface used to read the annotation; associating each associated language that is indicated within the annotation with each value using a Java® programming language meta-annotation, wherein an editing user interface that reads the annotation provides a customized editing experience for each associated language when editing each value; displaying the annotation identifier with a first value and a first associated language in the editing user interface, wherein the displaying comprises interspersing the annotation identifier between source code statements of a second language different from the first associated language; detecting that a user is editing or is about to edit the first value by detecting a cursor position within the first value; and in response to the detecting, dynamically revising the display of the first value and the editing user interface based on the first associated language, wherein the annotation annotates a source code statement of the second language. | 9. A computer implemented method for editing computer software code, the method comprising: defining a Java® programming language annotation that comprises an annotation identifier, a plurality of members, a value for each member, and an associated language for each value of each member, wherein each associated language is indicated within the annotation, and wherein defining the annotation creates an interface used to read the annotation; associating each associated language that is indicated within the annotation with each value using a Java® programming language meta-annotation, wherein an editing user interface that reads the annotation provides a customized editing experience for each associated language when editing each value; displaying the annotation identifier with a first value and a first associated language in the editing user interface, wherein the displaying comprises interspersing the annotation identifier between source code statements of a second language different from the first associated language; detecting that a user is editing or is about to edit the first value by detecting a cursor position within the first value; and in response to the detecting, dynamically revising the display of the first value and the editing user interface based on the first associated language, wherein the annotation annotates a source code statement of the second language. 16. The method of claim 9 , wherein the editing user interface is adapted to edit the second language that is different from the first associated language. | 0.841837 |
8,935,153 | 9 | 11 | 9. The method of claim 1 , wherein the analyzing user submitted natural language incident report further comprises: receiving the submitted natural language description into an artificial intelligence classification component; and categorizing the incident described by the submitted natural language of the received incident report into one of a set of categories associated with incidents corresponding to the associated multifunction device. | 9. The method of claim 1 , wherein the analyzing user submitted natural language incident report further comprises: receiving the submitted natural language description into an artificial intelligence classification component; and categorizing the incident described by the submitted natural language of the received incident report into one of a set of categories associated with incidents corresponding to the associated multifunction device. 11. The method of claim 9 , further comprising training the artificial intelligence classification component to associate the received submitted natural language incident report with a selected category in the associated database. | 0.955305 |
8,880,530 | 1 | 3 | 1. A computer-executable method for searching related documents, the method comprising: receiving a source document; searching for related documents based on semantic entities extracted from the source document; receiving user-adjusted search criteria from a user, wherein the user-adjusted search criteria include a user-adjusted entity-extraction sensitivity, and wherein the user-adjusted entity-extraction sensitivity indicates a number of semantic entities that are to be extracted from the source document; and updating search results of related documents based on the user-adjusted search criteria, wherein the user-adjusted search criteria include the number of semantic entities that are extracted from the source document. | 1. A computer-executable method for searching related documents, the method comprising: receiving a source document; searching for related documents based on semantic entities extracted from the source document; receiving user-adjusted search criteria from a user, wherein the user-adjusted search criteria include a user-adjusted entity-extraction sensitivity, and wherein the user-adjusted entity-extraction sensitivity indicates a number of semantic entities that are to be extracted from the source document; and updating search results of related documents based on the user-adjusted search criteria, wherein the user-adjusted search criteria include the number of semantic entities that are extracted from the source document. 3. The method of claim 1 , further comprising: receiving one or more added source documents; and updating the search results of related documents based on semantic entities extracted from the added source documents. | 0.877841 |
7,577,963 | 1 | 10 | 1. An event data translation system comprising: at least one processor; an interface executed by the at least one processor for receiving input information; at least one harvester that is selected from a plurality of harvesters and that is executed by the at least one processor for parsing event data from the input information to generate at least one result event data set; an analyzer executed by the at least one processor for analyzing the at least one result event data set outputted from the at least one harvester and selecting at least a portion of the at least one result event data set based on the analysis of the at least one result event data set as a selected result event data set; a processing component executed by the at least one processor for processing the selected result event data set to generate an event listing, a statistical analyzer executed by the at lest one processor for analyzing use of the event listing, wherein the event listing is displayed via the interface, wherein the statistical analyzer provides user feedback data about the event listing and uses the user feedback data to provide further information for configuring the analyzer in connection with analysis of a subsequent result event data set from the at least one harvester and selection of a subsequent selected result event data set, and wherein the user feedback data about the event listing is used in a subsequent selection of the at least one harvester from the plurality of harvesters; and at least two harvesters of the plurality of harvesters executed by the at least one processor for parsing event data from the input information to generate a result event data set as a plurality of result event data sets, wherein the analyzer analyzes the plurality of result event data sets and selects at least a portion of the plurality of result event data sets as a selected result event data set and wherein the at least two harvesters include a harvester of a first type having a first setting and a harvester of the first type having a second setting, the first setting being different from the second setting, wherein at least one of: the at least one harvester, the analyzer and the processing component is coupled to a controller for controlling at least one of: the at least one harvester, the analyzer and the processing component. | 1. An event data translation system comprising: at least one processor; an interface executed by the at least one processor for receiving input information; at least one harvester that is selected from a plurality of harvesters and that is executed by the at least one processor for parsing event data from the input information to generate at least one result event data set; an analyzer executed by the at least one processor for analyzing the at least one result event data set outputted from the at least one harvester and selecting at least a portion of the at least one result event data set based on the analysis of the at least one result event data set as a selected result event data set; a processing component executed by the at least one processor for processing the selected result event data set to generate an event listing, a statistical analyzer executed by the at lest one processor for analyzing use of the event listing, wherein the event listing is displayed via the interface, wherein the statistical analyzer provides user feedback data about the event listing and uses the user feedback data to provide further information for configuring the analyzer in connection with analysis of a subsequent result event data set from the at least one harvester and selection of a subsequent selected result event data set, and wherein the user feedback data about the event listing is used in a subsequent selection of the at least one harvester from the plurality of harvesters; and at least two harvesters of the plurality of harvesters executed by the at least one processor for parsing event data from the input information to generate a result event data set as a plurality of result event data sets, wherein the analyzer analyzes the plurality of result event data sets and selects at least a portion of the plurality of result event data sets as a selected result event data set and wherein the at least two harvesters include a harvester of a first type having a first setting and a harvester of the first type having a second setting, the first setting being different from the second setting, wherein at least one of: the at least one harvester, the analyzer and the processing component is coupled to a controller for controlling at least one of: the at least one harvester, the analyzer and the processing component. 10. The event data translation system according to claim 1 , wherein a result of analyzing the use of the event listing is provided as the user feedback data. | 0.718861 |
7,487,447 | 1 | 5 | 1. A method of displaying a document, the method comprising: receiving input comprising: a web page comprising machine-readable instructions, and a zoom factor for the web page; processing a document object model representation of the web page in accordance with the machine-readable instructions, wherein at least one scalable content parameter or at least one scalable layout parameter exists in the document object model, and wherein the processing comprises: if one or more scalable content parameters exist in the document object model representation, modifying parameters pertaining to content in accordance with the zoom factor; and if one or more scalable layout parameters exist in the document object model representation, modifying parameters pertaining to layout in accordance with the zoom factor; and displaying the web page in a web browser according to the document object model representation. | 1. A method of displaying a document, the method comprising: receiving input comprising: a web page comprising machine-readable instructions, and a zoom factor for the web page; processing a document object model representation of the web page in accordance with the machine-readable instructions, wherein at least one scalable content parameter or at least one scalable layout parameter exists in the document object model, and wherein the processing comprises: if one or more scalable content parameters exist in the document object model representation, modifying parameters pertaining to content in accordance with the zoom factor; and if one or more scalable layout parameters exist in the document object model representation, modifying parameters pertaining to layout in accordance with the zoom factor; and displaying the web page in a web browser according to the document object model representation. 5. The method of claim 1 , wherein the processing the document object model representation comprises traversing the document object model representation. | 0.694 |
7,724,958 | 3 | 4 | 3. The method of claim 1 , wherein converting an electronic image into a mathematical graph comprises converting the electronic image into an image skeleton. | 3. The method of claim 1 , wherein converting an electronic image into a mathematical graph comprises converting the electronic image into an image skeleton. 4. The method of claim 3 , wherein converting an electronic image into a mathematical graph further comprises transforming the image skeleton into one or more edges and one or more vertices. | 0.854071 |
9,244,931 | 9 | 14 | 9. A method of modeling query-uniform resource locator (URL) pairs, comprising: under control of one or more processors configured with executable instructions: receiving a query; modeling a plurality of query-URL pairs to create a plurality of query-URL models for each of the plurality of query-URL pairs; selecting between the plurality of query-URL models that model a query-URL pair to select a query-URL model for use, wherein the selecting is based at least in part on static and temporal characteristics of the query-URL pair; predicting user intent based on the query-URL model selected for use; and ranking URLs found in response to the query based at least in part on the predicted user intent. | 9. A method of modeling query-uniform resource locator (URL) pairs, comprising: under control of one or more processors configured with executable instructions: receiving a query; modeling a plurality of query-URL pairs to create a plurality of query-URL models for each of the plurality of query-URL pairs; selecting between the plurality of query-URL models that model a query-URL pair to select a query-URL model for use, wherein the selecting is based at least in part on static and temporal characteristics of the query-URL pair; predicting user intent based on the query-URL model selected for use; and ranking URLs found in response to the query based at least in part on the predicted user intent. 14. The method of claim 9 , wherein ranking URLs found in response to the query comprises: learning rules governing model selection; and switching from the query-URL model selected for use to a second query-URL model selected for use based on the rules learned. | 0.841818 |
9,129,216 | 1 | 12 | 1. A computer implemented method, using a processor of a server, for recommending images, the method comprising: receiving content comprising text, processing the content to extract data comprising text features, wherein the text features form a text feature vector; receiving a candidate set of image suggestions, the candidate set comprising images that may be submitted to a user taken from one or more collections of images, and for each image in the candidate set of image suggestions, processing the image to extract data comprising image features, wherein the image features form an image feature vector, receiving user information and processing the information to extract data comprising user features, wherein the user features form a user feature vector; storing the text feature vector, image feature vector, and user feature vector as a triplet in a reference database; and applying means for machine learning using said triplets to learn an association function to calculate an Illustration Index, comprising a score that measures the level of association of the image suggestion to the content; using the triplets stored in the reference database to generate one or more suggested images to be used with one or a plurality of subsequent text content input by a user in a user device; and displaying the one or more suggested images on a user device. | 1. A computer implemented method, using a processor of a server, for recommending images, the method comprising: receiving content comprising text, processing the content to extract data comprising text features, wherein the text features form a text feature vector; receiving a candidate set of image suggestions, the candidate set comprising images that may be submitted to a user taken from one or more collections of images, and for each image in the candidate set of image suggestions, processing the image to extract data comprising image features, wherein the image features form an image feature vector, receiving user information and processing the information to extract data comprising user features, wherein the user features form a user feature vector; storing the text feature vector, image feature vector, and user feature vector as a triplet in a reference database; and applying means for machine learning using said triplets to learn an association function to calculate an Illustration Index, comprising a score that measures the level of association of the image suggestion to the content; using the triplets stored in the reference database to generate one or more suggested images to be used with one or a plurality of subsequent text content input by a user in a user device; and displaying the one or more suggested images on a user device. 12. The method of claim 1 , wherein the final set of image suggestions are ordered based on the Illustration Index. | 0.894881 |
8,694,355 | 1 | 12 | 1. A method for assisting a user in an execution of a task, where the task comprises one or more workflows required to accomplish a goal defined by the user, the method comprising: identifying, using a workflow tracker, a current workflow executing on a machine used by the user, where the current workflow is one of the one or more workflows and wherein the identifying is performed automatically by the machine in an absence of a manual identification of the current workflow by matching data related to the current workflow to a stored task model, wherein the identifying comprises: receiving, from one or more instrumented applications executing on the machine used by the user, the data related to the current workflow; and identifying the stored task model in a workflow library as one of a plurality of task models that most closely matches the current workflow, based on the data, wherein the stored task model encodes a set of workflows for accomplishing a corresponding task; tracking, using the workflow tracker, a progress of the current workflow in accordance with the stored task model, wherein the stored task model comprises a variablized version of a previous workflow that is customized during the execution for the current workflow; generating a suggestion based on the progress of the current workflow and on the stored task model, where the suggestion assists the user in progressing toward a completion of the task; manipulating an application on the machine used by the user to carry out the suggestion; and learning the stored task model from a user demonstration, wherein the learning comprises: recording an action sequence that embodies a dataflow, in accordance with the user demonstration, wherein the action sequence comprises one or more observed actions executed on the machine used by the user; and inserting at least one inferred action into the dataflow, wherein the at least one inferred action is inserted in a gap between a first one of the one or more observed actions and a second one of the one or more observed actions, and wherein the at least one inferred action is not one of the one or more observed actions, wherein at least one of: the workflow tracking, the generating, or the manipulating is performed using a processor. | 1. A method for assisting a user in an execution of a task, where the task comprises one or more workflows required to accomplish a goal defined by the user, the method comprising: identifying, using a workflow tracker, a current workflow executing on a machine used by the user, where the current workflow is one of the one or more workflows and wherein the identifying is performed automatically by the machine in an absence of a manual identification of the current workflow by matching data related to the current workflow to a stored task model, wherein the identifying comprises: receiving, from one or more instrumented applications executing on the machine used by the user, the data related to the current workflow; and identifying the stored task model in a workflow library as one of a plurality of task models that most closely matches the current workflow, based on the data, wherein the stored task model encodes a set of workflows for accomplishing a corresponding task; tracking, using the workflow tracker, a progress of the current workflow in accordance with the stored task model, wherein the stored task model comprises a variablized version of a previous workflow that is customized during the execution for the current workflow; generating a suggestion based on the progress of the current workflow and on the stored task model, where the suggestion assists the user in progressing toward a completion of the task; manipulating an application on the machine used by the user to carry out the suggestion; and learning the stored task model from a user demonstration, wherein the learning comprises: recording an action sequence that embodies a dataflow, in accordance with the user demonstration, wherein the action sequence comprises one or more observed actions executed on the machine used by the user; and inserting at least one inferred action into the dataflow, wherein the at least one inferred action is inserted in a gap between a first one of the one or more observed actions and a second one of the one or more observed actions, and wherein the at least one inferred action is not one of the one or more observed actions, wherein at least one of: the workflow tracking, the generating, or the manipulating is performed using a processor. 12. The method of claim 1 , wherein the tracking comprises representing the current workflow as a Logical Hidden Markov Model. | 0.883117 |
9,614,807 | 1 | 17 | 1. A method for detecting trends from a set of messages in a network or across networks, the method, comprising: identifying, from the set of messages in the network or across networks, commonly or frequently occurring topics; computing statistical attributes for the commonly or frequently occurring topics in the set of messages that indicate respective levels of trendiness; presenting, the commonly or frequently occurring topics as indicators in a user interface, the indicators being actionable to access additional information relating to a selected topic via the action; wherein, the commonly or frequently occurring topics are identified through natural language processing including one or more of; identifying social network tokens; identifying nouns, pronouns or unknown words in the set of messages; wherein, the commonly or frequently occurring topics are identified through disambiguation of a given keyword in the set of messages, which has multiple meanings. | 1. A method for detecting trends from a set of messages in a network or across networks, the method, comprising: identifying, from the set of messages in the network or across networks, commonly or frequently occurring topics; computing statistical attributes for the commonly or frequently occurring topics in the set of messages that indicate respective levels of trendiness; presenting, the commonly or frequently occurring topics as indicators in a user interface, the indicators being actionable to access additional information relating to a selected topic via the action; wherein, the commonly or frequently occurring topics are identified through natural language processing including one or more of; identifying social network tokens; identifying nouns, pronouns or unknown words in the set of messages; wherein, the commonly or frequently occurring topics are identified through disambiguation of a given keyword in the set of messages, which has multiple meanings. 17. The method of claim 1 , wherein, the set of messages originate from one social media network. | 0.880247 |
9,135,917 | 1 | 5 | 1. A method performed by a computer processor executing computer program instructions tangibly stored on a first computer-readable medium to perform a method comprising: (A) deriving, from a region of a document and a corresponding region of a spoken audio stream, a likelihood score representing a likelihood that the region of the document correctly represents content in the corresponding region of the spoken audio stream, and tangibly storing a representation of the likelihood score in a second computer-readable medium; (B) selecting a relevance score representing a measure of relevance of the region of the spoken audio stream, the measure of relevance representing a measure of importance that the region of the spoken audio stream be brought to the attention of a human proofreader, and tangibly storing a representation of the relevance score in a third computer-readable medium; and (C) deriving, by performing a calculation on the likelihood score and the relevance score, an emphasis factor for modifying emphasis placed on the region of the spoken audio stream when played back, and storing a representation of the emphasis factor in a fourth computer-readable medium. | 1. A method performed by a computer processor executing computer program instructions tangibly stored on a first computer-readable medium to perform a method comprising: (A) deriving, from a region of a document and a corresponding region of a spoken audio stream, a likelihood score representing a likelihood that the region of the document correctly represents content in the corresponding region of the spoken audio stream, and tangibly storing a representation of the likelihood score in a second computer-readable medium; (B) selecting a relevance score representing a measure of relevance of the region of the spoken audio stream, the measure of relevance representing a measure of importance that the region of the spoken audio stream be brought to the attention of a human proofreader, and tangibly storing a representation of the relevance score in a third computer-readable medium; and (C) deriving, by performing a calculation on the likelihood score and the relevance score, an emphasis factor for modifying emphasis placed on the region of the spoken audio stream when played back, and storing a representation of the emphasis factor in a fourth computer-readable medium. 5. The method of claim 1 , wherein (C) comprises deriving, from the likelihood and the measure of relevance, a signal power adjustment factor for adjusting a signal power of the region of the spoken audio stream. | 0.800752 |
5,408,652 | 3 | 17 | 3. A database processing system including a basic data organization comprising: access parts means for including one of a plurality of access parts corresponding to an access method to the basic data organization; library parts means for including one of a plurality of library parts to generate a logic connection program necessary for accessing a data organization including the basic data organization as a storage structure; and optimizing means for creating a procedure for processing said database based on pattern information which combines said access parts means and said library parts means. | 3. A database processing system including a basic data organization comprising: access parts means for including one of a plurality of access parts corresponding to an access method to the basic data organization; library parts means for including one of a plurality of library parts to generate a logic connection program necessary for accessing a data organization including the basic data organization as a storage structure; and optimizing means for creating a procedure for processing said database based on pattern information which combines said access parts means and said library parts means. 17. The database processing system according to claim 3, wherein said pattern information comprises a second pattern for accessing a key range in case of a storage structure of a dense B tree structure when a key range sequential access is performed as an operation to the storage structure. | 0.639851 |
4,797,102 | 3 | 4 | 3. An instructional globe according to claim 1 wherein said globe-shaped body comprises raised crossing ribs representing lines of longitude and latitude, said ribs defining said cues on the globe-shaped body and wherein each of said plurality of spherical surface segments in adapted to fit closely in a corresponding one of said cues, each segment having an outer portion defining a top surface bearing a geographically significant representation which is relatively positionally appropriate when the segments are fitted into their corresponding cues and an inner portion defining means for removably securing the segments in their corresponding cues. | 3. An instructional globe according to claim 1 wherein said globe-shaped body comprises raised crossing ribs representing lines of longitude and latitude, said ribs defining said cues on the globe-shaped body and wherein each of said plurality of spherical surface segments in adapted to fit closely in a corresponding one of said cues, each segment having an outer portion defining a top surface bearing a geographically significant representation which is relatively positionally appropriate when the segments are fitted into their corresponding cues and an inner portion defining means for removably securing the segments in their corresponding cues. 4. An instructional globe according to claim 3 wherein said geographically significant representations comprise positionally appropriate portions of said blocks cues segments. | 0.910714 |
10,061,773 | 1 | 7 | 1. A computer-implemented method comprising: storing a structured document in a memory circuit associated with a computing device, the structured document comprising a database record of a database table and also comprising a plurality of fields in which a first field comprises a nested document stored as a single data entity within the first field, and wherein: the structured document and the nested document are of respective first and second content types; and the nested document is of a second document type comprising one of a semi-structured document, and an unstructured document; parsing the structured document using a first parser associated with the first content type, wherein parsing the structured document comprises the first parser extracting information describing characteristics of the structured document; determining whether the first parser is able to parse the nested document; parsing the nested document using one of the first parser, and a second parser associated with the second content type based on the determining, wherein parsing the nested document comprises the one of the first and second parsers extracting information describing characteristics of the nested document; and generating an output file comprising the information describing the characteristics of the structured document, and the information describing characteristics of the nested document, wherein generating an output file comprises: writing output from the first parser to the output the stored in the memory circuit of the computing device; and updating the output the by writing output from the second parser to the output file. | 1. A computer-implemented method comprising: storing a structured document in a memory circuit associated with a computing device, the structured document comprising a database record of a database table and also comprising a plurality of fields in which a first field comprises a nested document stored as a single data entity within the first field, and wherein: the structured document and the nested document are of respective first and second content types; and the nested document is of a second document type comprising one of a semi-structured document, and an unstructured document; parsing the structured document using a first parser associated with the first content type, wherein parsing the structured document comprises the first parser extracting information describing characteristics of the structured document; determining whether the first parser is able to parse the nested document; parsing the nested document using one of the first parser, and a second parser associated with the second content type based on the determining, wherein parsing the nested document comprises the one of the first and second parsers extracting information describing characteristics of the nested document; and generating an output file comprising the information describing the characteristics of the structured document, and the information describing characteristics of the nested document, wherein generating an output file comprises: writing output from the first parser to the output the stored in the memory circuit of the computing device; and updating the output the by writing output from the second parser to the output file. 7. The computer-implemented method of claim 1 wherein determining whether the first parser is able to parse the nested document comprises determining whether the first parser is configured to output parsed data of a selected output type. | 0.774286 |
8,381,306 | 1 | 17 | 1. A method comprising: providing in a computer, a role based access control (RBAC) store, the RBAC store defining at least one scope wherein each scope represents a set of resources in a networked computing environment; providing in the RBAC store, at least one role definition and at least one role assignment; defining in the RBAC store, based at least in part on the at least one role definition and the at least one role assignment, at least one enterprise role, each enterprise role including a set of permissions that are assigned to principals in a given scope; and using the RBAC store for translating the at least one scope, the at least one enterprise role and at least one resource group representing a role based access control (RBAC) policy to a resource authorization policy model, the RBAC policy mappable to at least one access control list (ACL) in the networked computing environment for configuring an underlying resource authorization policy. | 1. A method comprising: providing in a computer, a role based access control (RBAC) store, the RBAC store defining at least one scope wherein each scope represents a set of resources in a networked computing environment; providing in the RBAC store, at least one role definition and at least one role assignment; defining in the RBAC store, based at least in part on the at least one role definition and the at least one role assignment, at least one enterprise role, each enterprise role including a set of permissions that are assigned to principals in a given scope; and using the RBAC store for translating the at least one scope, the at least one enterprise role and at least one resource group representing a role based access control (RBAC) policy to a resource authorization policy model, the RBAC policy mappable to at least one access control list (ACL) in the networked computing environment for configuring an underlying resource authorization policy. 17. The method of claim 1 , wherein the set of resources is identifiable by a security identifier and an access mask, and further wherein at least one of the security identifier or the access mask is incorporated into at least one of the scope or the role definition provided in the RBAC store. | 0.575145 |
9,195,722 | 1 | 3 | 1. A computer-implemented method, comprising: receiving input from a first user indicating the first user permits sharing of feedback that comprises feedback data from the first user but does not permit sharing the first user's identity; obtaining a set of search results responsive to a search input from another user, the search results comprise the feedback data; calculating a score for the feedback data based a social graph that covers the first user and the another user, the score indicating the likelihood of the another user guessing the identity of the first user, wherein the social graph is identified or generated based on a source having contact information associated with the first user; and determining, based at least on the score, whether to provide the feedback data to the another user, wherein for the another user not permitting sharing of its identity, the score is based on a product of a number of users not permitting sharing their identities and a sum of distances between each of the users not permitting sharing of their identities, the users being on the social graph which includes the another user, and for the another user permitting sharing its identities, the likelihood is based on a multiple of a threshold value. | 1. A computer-implemented method, comprising: receiving input from a first user indicating the first user permits sharing of feedback that comprises feedback data from the first user but does not permit sharing the first user's identity; obtaining a set of search results responsive to a search input from another user, the search results comprise the feedback data; calculating a score for the feedback data based a social graph that covers the first user and the another user, the score indicating the likelihood of the another user guessing the identity of the first user, wherein the social graph is identified or generated based on a source having contact information associated with the first user; and determining, based at least on the score, whether to provide the feedback data to the another user, wherein for the another user not permitting sharing of its identity, the score is based on a product of a number of users not permitting sharing their identities and a sum of distances between each of the users not permitting sharing of their identities, the users being on the social graph which includes the another user, and for the another user permitting sharing its identities, the likelihood is based on a multiple of a threshold value. 3. The method of claim 1 , wherein the obtaining the set of search results comprising searching at least feedback data from users on the social graph that includes the first user and the another user. | 0.731903 |
8,805,762 | 3 | 4 | 3. The affective model device of claim 1 , further comprising: an affective information manager configured to update the fourth affective component using at least one of: the first affective component, the second affective component, and the third affective component; and an affective information communication unit configured to provide the updated fourth affective component to the behavior deciding unit. | 3. The affective model device of claim 1 , further comprising: an affective information manager configured to update the fourth affective component using at least one of: the first affective component, the second affective component, and the third affective component; and an affective information communication unit configured to provide the updated fourth affective component to the behavior deciding unit. 4. The affective model device of claim 3 , wherein the affective information manager and the affective information communication unit comprise independent processing modules, independent processes, or independent threads. | 0.873425 |
8,255,221 | 14 | 15 | 14. The computer readable storage medium of claim 10 further comprising an initial step of invoking a podcasting application through a user browser interface. | 14. The computer readable storage medium of claim 10 further comprising an initial step of invoking a podcasting application through a user browser interface. 15. The computer readable storage medium of claim 14 further comprising the step of creating a source of predefined interviewer voices. | 0.956367 |
8,351,581 | 1 | 4 | 1. A method comprising: receiving, on a network device, a telephonic communication comprising speech; transcribing, on the network device, the telephonic communication to generate a transcript; detecting, on the network device, a tone generated by a telephone within the telephonic communication; and responsive to detecting the tone, supplementing, on the network device, the transcript with additional information. | 1. A method comprising: receiving, on a network device, a telephonic communication comprising speech; transcribing, on the network device, the telephonic communication to generate a transcript; detecting, on the network device, a tone generated by a telephone within the telephonic communication; and responsive to detecting the tone, supplementing, on the network device, the transcript with additional information. 4. The method of claim 1 , wherein the additional information comprises a hyperlink that links to a portion of an audio recording of the telephonic communication. | 0.784574 |
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