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8,972,395 | 1 | 8 | 1. A computer-implemented method for enabling Internet users to interact with a graphical search interface, the method comprising: receiving, from a user over an electronic network, an initial search parameter to use for a search; receiving, from a search engine database, a plurality of related search parameters to use for the search, based on the received initial search parameter; generating, by a processor, a multi-dimensional search space defined by the received initial search parameter and the plurality of related search parameters; transmitting, for display to the user over the network, a graphical interface projecting the multi-dimensional search space, along with a plurality of user elements corresponding to the received initial search parameter and the plurality of related search parameters by which the user may adjust a weighting of one or more of the received initial search parameter and the plurality of related search parameters by interacting with at least one of the plurality of user elements, wherein the weighting of each of the received initial search parameter and the plurality of related search parameters is calculated based on one or both of (i) a spatial distance between each of the received initial search parameter and the plurality of related search parameters of the perimeter and a radial center of the multi-dimensional search space; and (ii) a spatial distance and an angle between two or more of each of the received initial search parameter and the plurality of related search parameters of the perimeter; and transmitting, for display to the user over the network, a plurality of search results, from the search engine database, automatically updated in real time based on the user-adjusted weighting of at least one of the received initial search parameter and the plurality of related search parameters. | 1. A computer-implemented method for enabling Internet users to interact with a graphical search interface, the method comprising: receiving, from a user over an electronic network, an initial search parameter to use for a search; receiving, from a search engine database, a plurality of related search parameters to use for the search, based on the received initial search parameter; generating, by a processor, a multi-dimensional search space defined by the received initial search parameter and the plurality of related search parameters; transmitting, for display to the user over the network, a graphical interface projecting the multi-dimensional search space, along with a plurality of user elements corresponding to the received initial search parameter and the plurality of related search parameters by which the user may adjust a weighting of one or more of the received initial search parameter and the plurality of related search parameters by interacting with at least one of the plurality of user elements, wherein the weighting of each of the received initial search parameter and the plurality of related search parameters is calculated based on one or both of (i) a spatial distance between each of the received initial search parameter and the plurality of related search parameters of the perimeter and a radial center of the multi-dimensional search space; and (ii) a spatial distance and an angle between two or more of each of the received initial search parameter and the plurality of related search parameters of the perimeter; and transmitting, for display to the user over the network, a plurality of search results, from the search engine database, automatically updated in real time based on the user-adjusted weighting of at least one of the received initial search parameter and the plurality of related search parameters. 8. The computer-implemented method of claim 1 , wherein the perimeter of the multi-dimensional search space has a plurality of vertices, each vertex of the plurality of vertices representing one of the received initial search parameter and the plurality of related search parameters employed in the search initiated by the user. | 0.803357 |
8,849,791 | 12 | 15 | 12. A computer-implemented method comprising: establishing, via at least one computing device, a data session associated with a client device; establishing, via the at least one computing device, a voice session associated with the client device, the voice session being contemporaneous with the data session; receiving, via the at least one computing device, a speech input from the client device; receiving, via the at least one computing device, a proximity sensor state from a proximity sensor associated with the client device, the proximity sensor state associated with a proximity of the client device to a user; generating, via the at least one computing device, a search query that is based at least upon a transcription of the speech input; identifying, via the at least one computing device, a refined search query that is based at least upon the search query, the refined search query being different from the transcription of the search query and being selected by a customer service agent via a customer service agent user interface in response to receiving the speech input from the client device, the customer service agent user interface including the proximity sensor state; and transmitting, from the at least one computing device to the client device, at least one search result based at least upon the refined search query in response to selection of the at least one search result by the customer service agent via the customer service agent user interface. | 12. A computer-implemented method comprising: establishing, via at least one computing device, a data session associated with a client device; establishing, via the at least one computing device, a voice session associated with the client device, the voice session being contemporaneous with the data session; receiving, via the at least one computing device, a speech input from the client device; receiving, via the at least one computing device, a proximity sensor state from a proximity sensor associated with the client device, the proximity sensor state associated with a proximity of the client device to a user; generating, via the at least one computing device, a search query that is based at least upon a transcription of the speech input; identifying, via the at least one computing device, a refined search query that is based at least upon the search query, the refined search query being different from the transcription of the search query and being selected by a customer service agent via a customer service agent user interface in response to receiving the speech input from the client device, the customer service agent user interface including the proximity sensor state; and transmitting, from the at least one computing device to the client device, at least one search result based at least upon the refined search query in response to selection of the at least one search result by the customer service agent via the customer service agent user interface. 15. The method of claim 12 , further comprising: identifying, via the at least one computing device, a user account associated with at least one of a user and the client device; retrieving, via the at least one computing device, at least one of a purchase history and a search history associated with the user account; and generating, via the at least one computing device, at least one product recommendation based at least upon the at least one of a purchase history and a search history. | 0.584746 |
9,734,192 | 14 | 16 | 14. The computer program product of claim 12 , further comprising instructions for returning sentiment analysis results based at least in part on the single database query language statement. | 14. The computer program product of claim 12 , further comprising instructions for returning sentiment analysis results based at least in part on the single database query language statement. 16. The computer program product of claim 14 , further comprising instructions for filtering the sentiment analysis results set based at least in part on a filtering or ranking specified in the single database query language statement. | 0.5 |
8,364,300 | 1 | 8 | 1. A computer system including a non-transitory computer-readable medium having computer-executable instructions for processing manufacturing information requests, wherein the processing carried out by the computer system comprises the steps of: receiving an information request to retrieve information based on a named data item defined by a configured manufacturing data model; in response to the receiving step, relating data coming from at least one backend system and adding context data according to a definition of the named data item in the configured manufacturing data model, the context data defining a relevant scope of data corresponding to the information request, wherein the at least one backend system comprises a time-series data buffer and wherein the named data item is of a dimension quantifiable by time; configuring the named data item using a dimension-based time-slicing capability comprising a time-defining dimension wherein the time-defining dimensions further comprises time-defining fields consisting of either a start time and an end time or a start time and a duration and said time-defining fields are absolute time stamps for the named data item; preparing a result, corresponding to the information request, according to a specified format and filtering criteria; producing an information response in a normalized format, the information response containing the requested information and the context data corresponding to the information request; and transmitting the information response in the normalized format to a requestor. | 1. A computer system including a non-transitory computer-readable medium having computer-executable instructions for processing manufacturing information requests, wherein the processing carried out by the computer system comprises the steps of: receiving an information request to retrieve information based on a named data item defined by a configured manufacturing data model; in response to the receiving step, relating data coming from at least one backend system and adding context data according to a definition of the named data item in the configured manufacturing data model, the context data defining a relevant scope of data corresponding to the information request, wherein the at least one backend system comprises a time-series data buffer and wherein the named data item is of a dimension quantifiable by time; configuring the named data item using a dimension-based time-slicing capability comprising a time-defining dimension wherein the time-defining dimensions further comprises time-defining fields consisting of either a start time and an end time or a start time and a duration and said time-defining fields are absolute time stamps for the named data item; preparing a result, corresponding to the information request, according to a specified format and filtering criteria; producing an information response in a normalized format, the information response containing the requested information and the context data corresponding to the information request; and transmitting the information response in the normalized format to a requestor. 8. The computer system of claim 1 wherein the manufacturing data model further includes a navigation model that describes links between configured data items within the manufacturing data model. | 0.5 |
8,670,985 | 32 | 40 | 32. A non-transitory computer readable medium for processing a voice input provided in response to a prompt, the computer readable medium storing instructions for: automatically providing a sequence of prompts in response to a user invoking a voice mode, wherein each prompt is associated with a respective time period of a plurality of time periods; receiving a voice input while a prompt of the sequence of prompts is being provided; identifying a characteristic time associated with the received voice input; identifying a time period of the plurality of time periods that includes the characteristic time; and applying the received voice input to a respective prompt of the sequence of prompts associated with the identified time period. | 32. A non-transitory computer readable medium for processing a voice input provided in response to a prompt, the computer readable medium storing instructions for: automatically providing a sequence of prompts in response to a user invoking a voice mode, wherein each prompt is associated with a respective time period of a plurality of time periods; receiving a voice input while a prompt of the sequence of prompts is being provided; identifying a characteristic time associated with the received voice input; identifying a time period of the plurality of time periods that includes the characteristic time; and applying the received voice input to a respective prompt of the sequence of prompts associated with the identified time period. 40. The computer readable medium of claim 32 , wherein the applying further comprises providing a media item to serve as a seed for generating a new playlist. | 0.746795 |
5,384,703 | 1 | 30 | 1. An automated, computer implemented method of electronically processing a document stored in a memory of a computer, said document containing text represented by characters, said method comprising the steps of: a) using the computer, automatically determining a frequency of occurrence of expressions in the document not contained in a stop list and having at least a first predetermined level of complexity, said stop list stored in the memory of said computer; b) using the computer, automatically forming a seed list comprised of a second predetermined number of the most frequently occurring expressions determined in step (a), said seed list stored in said memory of said computer; c) using said computer, automatically forming a summary of the document comprised of regions in the document containing at least two members of said seed list, said summary stored in said memory of said computer; and d) using said computer, automatically repeating steps (a)-(c) on said summary until a length of said summary is no greater than a predetermined length, each time steps (a)-(c) are repeated, adding the members of said seed list to said stop list and reducing said first predetermined level of complexity. | 1. An automated, computer implemented method of electronically processing a document stored in a memory of a computer, said document containing text represented by characters, said method comprising the steps of: a) using the computer, automatically determining a frequency of occurrence of expressions in the document not contained in a stop list and having at least a first predetermined level of complexity, said stop list stored in the memory of said computer; b) using the computer, automatically forming a seed list comprised of a second predetermined number of the most frequently occurring expressions determined in step (a), said seed list stored in said memory of said computer; c) using said computer, automatically forming a summary of the document comprised of regions in the document containing at least two members of said seed list, said summary stored in said memory of said computer; and d) using said computer, automatically repeating steps (a)-(c) on said summary until a length of said summary is no greater than a predetermined length, each time steps (a)-(c) are repeated, adding the members of said seed list to said stop list and reducing said first predetermined level of complexity. 30. The method of claim 1, wherein said document is a Chinese-language document containing text represented by chinese characters, and wherein: step (a) includes using said computer, determining: a frequency of occurrence of chinese characters in the document not contained in said stop list and having a predetermined number of strokes, and a frequency of chinese character strings in the document not contained in said stop list, having at least a third predetermined number of chinese characters, and having said predetermined number of strokes; and step (b) includes forming said seed list from said second predetermined number of the most frequently occurring characters and character strings determined in step (a). | 0.5 |
9,152,714 | 21 | 26 | 21. A non-transitory computer-readable medium having instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: obtaining search query data, the search query data including a plurality of search queries submitted by users, each search query being associated with one or more responsive search results and user selection data for the one or more search results, wherein the user selection data identifies which search results were selected by users; obtaining a plurality of score improvement lists, each score improvement list being associated with a point value, each score improvement list being an ordered list of adjusters, wherein the adjusters are serially applied in order of the adjusters in the ordered list to initial scores of a group of search results to determine a final scoring of the search results; iteratively selecting pairs of score improvement lists from a pool of score improvement lists, the pool of score improvement lists including the plurality of score improvement lists; automatically for each selected pair: separately applying the ordered list of adjusters for each score improvement list included in the selected pair to one or more search results associated with a search query from the search query data, in response to the applying, identifying, for each score improvement list in the selected pair, respective ordered search results responsive to the search query, determining a winning and losing score improvement list in the selected pair from the respective ordered search results and the user selection data associated with the search query, increasing the point value associated with the winning score improvement list, and decreasing the point value associated with the losing score improvement list; repeating testing for respective pairs of score improvement lists until ending criteria are reached; and selecting one or more score improvement lists based on the respective point values after the repeated testing. | 21. A non-transitory computer-readable medium having instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising: obtaining search query data, the search query data including a plurality of search queries submitted by users, each search query being associated with one or more responsive search results and user selection data for the one or more search results, wherein the user selection data identifies which search results were selected by users; obtaining a plurality of score improvement lists, each score improvement list being associated with a point value, each score improvement list being an ordered list of adjusters, wherein the adjusters are serially applied in order of the adjusters in the ordered list to initial scores of a group of search results to determine a final scoring of the search results; iteratively selecting pairs of score improvement lists from a pool of score improvement lists, the pool of score improvement lists including the plurality of score improvement lists; automatically for each selected pair: separately applying the ordered list of adjusters for each score improvement list included in the selected pair to one or more search results associated with a search query from the search query data, in response to the applying, identifying, for each score improvement list in the selected pair, respective ordered search results responsive to the search query, determining a winning and losing score improvement list in the selected pair from the respective ordered search results and the user selection data associated with the search query, increasing the point value associated with the winning score improvement list, and decreasing the point value associated with the losing score improvement list; repeating testing for respective pairs of score improvement lists until ending criteria are reached; and selecting one or more score improvement lists based on the respective point values after the repeated testing. 26. The computer-readable medium of claim 21 , wherein determining a winning and losing score improvement list in each selected pair from the respective ordered search results and the user selection data associated with the search query comprises: selecting a user preferred search result in the one or more search results associated with a search query from the search query data based on the user selection data associated with the search query; and determining that the user preferred search result has a higher score in the respective ordered search results identified by the winning score improvement list. | 0.564194 |
8,682,394 | 13 | 17 | 13. A method comprising: associating a first color with a first criterion for differentiation and a second color with a second criterion for differentiation, wherein the first color is different from the second color; displaying a message including address information for at least one recipient before transmitting the message; examining the address information for an identified criterion for differentiation, wherein the identified criterion for differentiation is one of approved, unapproved, prohibited, and restricted before transmitting the message, displaying message information including a name of a recipient associated with the address information on a display of a wireless communication device, wherein one of the name of the recipient and the address information is color-coded with the first color when the identified criterion is the first criterion for differentiation and one of the name of the recipient and the address information is color-coded with the second color when the identified criterion is the second criterion for differentiation. | 13. A method comprising: associating a first color with a first criterion for differentiation and a second color with a second criterion for differentiation, wherein the first color is different from the second color; displaying a message including address information for at least one recipient before transmitting the message; examining the address information for an identified criterion for differentiation, wherein the identified criterion for differentiation is one of approved, unapproved, prohibited, and restricted before transmitting the message, displaying message information including a name of a recipient associated with the address information on a display of a wireless communication device, wherein one of the name of the recipient and the address information is color-coded with the first color when the identified criterion is the first criterion for differentiation and one of the name of the recipient and the address information is color-coded with the second color when the identified criterion is the second criterion for differentiation. 17. The method of claim 13 , wherein the message is one of an email message and a text message. | 0.640152 |
5,479,487 | 1 | 8 | 1. An integrated telephone call handling system adapted to be coupled to (1) a telephone network to enable said system to communicate via said network, (2) an agent workstation to enable an agent to communicate with said system and (3) an agent telephone to enable said agent to communicate with a party via said system and said network, said system comprising: unified control means for controlling a call between said system and said party, said unified control means capable of (1) transferring said call among functional partitions within said system, said functional partitions providing mechanized communication via said network and (2) directing communications between said party and a selected one of said functional partitions, wherein said unified control means includes a unified script language operable to generate a voice script from inception to termination of said call, said voice script including a first script for directing interaction between said party and said system and a second script for directing interaction between said system and said agent. | 1. An integrated telephone call handling system adapted to be coupled to (1) a telephone network to enable said system to communicate via said network, (2) an agent workstation to enable an agent to communicate with said system and (3) an agent telephone to enable said agent to communicate with a party via said system and said network, said system comprising: unified control means for controlling a call between said system and said party, said unified control means capable of (1) transferring said call among functional partitions within said system, said functional partitions providing mechanized communication via said network and (2) directing communications between said party and a selected one of said functional partitions, wherein said unified control means includes a unified script language operable to generate a voice script from inception to termination of said call, said voice script including a first script for directing interaction between said party and said system and a second script for directing interaction between said system and said agent. 8. The system as recited in claim 1 further comprising a dialer to thereby allow said system to place outbound calls to a third party. | 0.833747 |
7,577,683 | 1 | 14 | 1. A method for acquiring structured facts to populate a knowledge representation system (KRS), the method comprising the steps of: defining and organizing the KRS as an ontology that comprises classes comprising properties and at least one sub-ontology comprising a hierarchical taxonomy of terms, wherein the properties of a class are terms in the taxonomy; creating at least one computerized template, the template accepting a predetermined type of fact, wherein the type of fact comprises components representing properties of the classes and wherein the template formats the predetermined type of fact to be consistent with the organization of the classes and taxonomy of the ontology; acquiring at least one structured fact from a predetermined knowledge source by selecting and completing the template via a user interface with information found in the predetermined knowledge source; and inserting the at least one structured fact into the KRS to create a knowledge base. | 1. A method for acquiring structured facts to populate a knowledge representation system (KRS), the method comprising the steps of: defining and organizing the KRS as an ontology that comprises classes comprising properties and at least one sub-ontology comprising a hierarchical taxonomy of terms, wherein the properties of a class are terms in the taxonomy; creating at least one computerized template, the template accepting a predetermined type of fact, wherein the type of fact comprises components representing properties of the classes and wherein the template formats the predetermined type of fact to be consistent with the organization of the classes and taxonomy of the ontology; acquiring at least one structured fact from a predetermined knowledge source by selecting and completing the template via a user interface with information found in the predetermined knowledge source; and inserting the at least one structured fact into the KRS to create a knowledge base. 14. The method of claim 1 , wherein the structured fact is an observation. | 0.863971 |
8,428,934 | 1 | 10 | 1. A method for incrementally and multi-dimensionally adjusting prose style comprising: creating a database of sets of phrase synonyms within a data processing environment wherein a phrase is defined as a character string including one or more words, numbers, abbreviations or combinations thereof, and wherein set of phrase synonyms is defined as a set of phrases in which there is at least one phrase in the set for which all other phrases in the set can be substituted in prose usage without causing significant changes in the meaning of the prose or grammatical errors in the prose; assigning rankings and/or values to phrases in the database for each phrase's ranking and/or value with respect to a dimension of prose style, for at least two different dimensions of prose style; receiving input prose selected by a user via an interface between the user and a computer selected from a group consisting of: direct entry of prose by means of a physical or virtual keyboard, keypad, touchpad, or touch screen; importing prose from a file, document, or website; highlighting or identifying a portion of prose using a cursor; voice, speech, or gesture recognition; and selection of a file, document, or website in response to a search request; receiving a style adjustment preference from a user for multiple dimensions of prose style through a multi-dimensional style-adjusting interface having multiple dimensions of prose style each assigned to an incrementally adjustable control between the user and the computer selected from one or more control elements in a group consisting of: virtual or physical slider bar; virtual or physical buttons, keyboard, keypad, or touch screen; virtual or physical dials or knobs; popup menu, drop down menu, or other virtual menu; data entry box, line, or space; mouse and/or cursor movement; voice or speech recognition; and gesture or posture recognition; and making adjustments to the style of the input prose within a data processing environment according to the style adjustment preference specified by the user through the multi-dimensional style-adjusting interface, wherein style adjustments are done (a) searching for phrases in the input prose that are in the database of phrase synonyms and (b) replacing the phrases in the input prose with intra-set phrase synonyms from the database with higher rankings and/or values in a dimension of style for which the user has indicated an increased preference through the multi-dimensional style-adjusting interface and/or replacing the phrases in the input prose with intra-set phrase synonyms from the database with lower rankings and/or values in a dimension of style for which the user has indicated a decreased preference through the multi-dimensional style-adjusting interface. | 1. A method for incrementally and multi-dimensionally adjusting prose style comprising: creating a database of sets of phrase synonyms within a data processing environment wherein a phrase is defined as a character string including one or more words, numbers, abbreviations or combinations thereof, and wherein set of phrase synonyms is defined as a set of phrases in which there is at least one phrase in the set for which all other phrases in the set can be substituted in prose usage without causing significant changes in the meaning of the prose or grammatical errors in the prose; assigning rankings and/or values to phrases in the database for each phrase's ranking and/or value with respect to a dimension of prose style, for at least two different dimensions of prose style; receiving input prose selected by a user via an interface between the user and a computer selected from a group consisting of: direct entry of prose by means of a physical or virtual keyboard, keypad, touchpad, or touch screen; importing prose from a file, document, or website; highlighting or identifying a portion of prose using a cursor; voice, speech, or gesture recognition; and selection of a file, document, or website in response to a search request; receiving a style adjustment preference from a user for multiple dimensions of prose style through a multi-dimensional style-adjusting interface having multiple dimensions of prose style each assigned to an incrementally adjustable control between the user and the computer selected from one or more control elements in a group consisting of: virtual or physical slider bar; virtual or physical buttons, keyboard, keypad, or touch screen; virtual or physical dials or knobs; popup menu, drop down menu, or other virtual menu; data entry box, line, or space; mouse and/or cursor movement; voice or speech recognition; and gesture or posture recognition; and making adjustments to the style of the input prose within a data processing environment according to the style adjustment preference specified by the user through the multi-dimensional style-adjusting interface, wherein style adjustments are done (a) searching for phrases in the input prose that are in the database of phrase synonyms and (b) replacing the phrases in the input prose with intra-set phrase synonyms from the database with higher rankings and/or values in a dimension of style for which the user has indicated an increased preference through the multi-dimensional style-adjusting interface and/or replacing the phrases in the input prose with intra-set phrase synonyms from the database with lower rankings and/or values in a dimension of style for which the user has indicated a decreased preference through the multi-dimensional style-adjusting interface. 10. The method of claim 1 wherein at least one dimension of prose style is a level of use of obscene words. | 0.822848 |
9,484,033 | 10 | 11 | 10. The information handling system of claim 8 wherein the actions further comprise: parsing the text into a plurality of parts; identifying a locatable entity as one of the parts; and filtering the locatable entity, wherein the filtering results in the annotation candidate. | 10. The information handling system of claim 8 wherein the actions further comprise: parsing the text into a plurality of parts; identifying a locatable entity as one of the parts; and filtering the locatable entity, wherein the filtering results in the annotation candidate. 11. The information handling system of claim 10 wherein the filtering further comprises: identifying that the locatable entity is an uncommon entity. | 0.5 |
8,499,238 | 8 | 9 | 8. A method according to claim 1 , further comprising the step of: generating additional information that is not displayed to the user and that enables changes to the documents to result in corresponding changes to the model. | 8. A method according to claim 1 , further comprising the step of: generating additional information that is not displayed to the user and that enables changes to the documents to result in corresponding changes to the model. 9. A method according to claim 8 , wherein said additional information includes information concerning a portion of the document and includes: an identifier of the model element represented, or a name of a property whose value is represented, or a type of model element to be created when adding another model element, or a type of relationship to create and a model element identifier of a peer model element to relate to when adding another new or existing model element, or an arbitrary command to be offered as an operation in a pop-up menu for that portion of the document. | 0.5 |
9,824,149 | 16 | 18 | 16. A system, comprising: means for determining a set of one or more use cases based, at least in part, upon a search query, wherein each use case is associated with a set of query patterns that trigger the use case, wherein determining a set of one or more use cases based, at least in part, upon the search query includes: ascertaining one or more query patterns based, at least in part, upon the search query; and identifying at least a subset of use cases associated with the query patterns; means for identifying a set of one or more search results based, at least in part, upon the search query, wherein identifying the set of search results includes identifying, for each query pattern-use case pair, a set of documents; means for obtaining information that answers the search query for at least one of the set of use cases, the information being derived from at least a subset of the set of search results; and means for providing an indication of at least a portion of the information. | 16. A system, comprising: means for determining a set of one or more use cases based, at least in part, upon a search query, wherein each use case is associated with a set of query patterns that trigger the use case, wherein determining a set of one or more use cases based, at least in part, upon the search query includes: ascertaining one or more query patterns based, at least in part, upon the search query; and identifying at least a subset of use cases associated with the query patterns; means for identifying a set of one or more search results based, at least in part, upon the search query, wherein identifying the set of search results includes identifying, for each query pattern-use case pair, a set of documents; means for obtaining information that answers the search query for at least one of the set of use cases, the information being derived from at least a subset of the set of search results; and means for providing an indication of at least a portion of the information. 18. The system as recited in claim 16 , wherein obtaining information that answers the search query for at least one of the set of use cases comprises: retrieving, for each query-use case pair, at least a portion of previously stored information derived from at least a subset of the set of search results. | 0.610687 |
8,612,466 | 1 | 6 | 1. A computer executable document search method for searching for a document, comprising: generating, based on user information represented as a group hierarchy having a user identifier and one or more groups joined by one or more operators, an inclusion relationship expression including an operator that designates an inclusion relationship for access authority; combining the inclusion relationship expression with a received search expression to generate a combined search expression; for searching at a private level, using the combined search expression to generate a first search expression using the received search expression and specifying the user identifier without specifying the one or more groups; and for searching at a shared level, using the combined search expression to generate a second search expression using the received search expression and specifying the one or more groups without specifying the user identifier. | 1. A computer executable document search method for searching for a document, comprising: generating, based on user information represented as a group hierarchy having a user identifier and one or more groups joined by one or more operators, an inclusion relationship expression including an operator that designates an inclusion relationship for access authority; combining the inclusion relationship expression with a received search expression to generate a combined search expression; for searching at a private level, using the combined search expression to generate a first search expression using the received search expression and specifying the user identifier without specifying the one or more groups; and for searching at a shared level, using the combined search expression to generate a second search expression using the received search expression and specifying the one or more groups without specifying the user identifier. 6. The document search method according to claim 1 , wherein the access authority is set for each of a private level to which a user has access, a domain level including a plurality of users, and an open domain level including a plurality of domain levels to enable secure search. | 0.657702 |
7,617,232 | 2 | 3 | 2. The method of claim 1 wherein receiving the data representing the term comprises: allowing a user in the organization to access the memory area to search for and select the term, receiving an indication from the user that the term is selected. | 2. The method of claim 1 wherein receiving the data representing the term comprises: allowing a user in the organization to access the memory area to search for and select the term, receiving an indication from the user that the term is selected. 3. The method of claim 2 wherein allowing the user in the organization to search for and select the term comprises allowing the user to search for the term based on a project name. | 0.5 |
9,860,262 | 31 | 34 | 31. The system of claim 30 , further comprising the steps of: selecting one or more of the zeta words to be anchor words; encoding in a vector a ζ , the probabilities of the anchor words, given that the process snippet contains one or more zeta words; creating a sparse vector a μ that estimates the probabilities for the non-zeta words in the process snippet; and combining by direct weighted sum the vector a ζ and the sparse vector a μ into the sparse vector a of the process dot:
a=b ζ a ζ ⊕b μ a μ with weights b ζ and b μ . | 31. The system of claim 30 , further comprising the steps of: selecting one or more of the zeta words to be anchor words; encoding in a vector a ζ , the probabilities of the anchor words, given that the process snippet contains one or more zeta words; creating a sparse vector a μ that estimates the probabilities for the non-zeta words in the process snippet; and combining by direct weighted sum the vector a ζ and the sparse vector a μ into the sparse vector a of the process dot:
a=b ζ a ζ ⊕b μ a μ with weights b ζ and b μ . 34. The system of claim 31 , wherein each entry in the sparse vector a of the compact representation is proportional to a probability that a feature is observed given an execution environment. | 0.5 |
7,933,952 | 1 | 12 | 1. A non-transitory computer-readable medium including executable instructions which, when executed, collaborate information by: using a computer-implemented client to define an assembly workspace including associating one or more users as one or more participants of the assembly workspace, wherein the client is configured to interact with other clients as part of a collaborative authoring effort; associating an assembly document, including using a master assembly document to track and maintain user changes, with the assembly workspace including providing an in-memory manifestation of a state of the assembly document that includes data, metadata, content, and actions, and using an assembly document proxy to build the assembly document using stored information and an assembly document object to create a number of sections and a number of authored section content controls based in part on one or more of a first property associated with a begin editing operation, a second property associated with a completed section operation, a third property associated with a section status, a fourth property associated with an allow to reassign operation, and a fifth property associated with an allow to insert sections operation; applying a number of constraints to the assembly document, wherein the number of constraints determines which of the one or more participants is permitted to interact with the number of sections of the assembly document, the number of constraints defined in part by an editor role, an author role, and an observer role, wherein the editor role can be used to assign sections to authors including enabling an assigned author to reassign a section to other authors responsible for contributing content to one or more of the number of sections of the assembly document including editing root section metadata as part of assigning sections, updating section status, and restricting sections; and, generating a complete copy of the assembly document for each participant as part of a document assembly process using the assembly workspace and the assembly document proxy. | 1. A non-transitory computer-readable medium including executable instructions which, when executed, collaborate information by: using a computer-implemented client to define an assembly workspace including associating one or more users as one or more participants of the assembly workspace, wherein the client is configured to interact with other clients as part of a collaborative authoring effort; associating an assembly document, including using a master assembly document to track and maintain user changes, with the assembly workspace including providing an in-memory manifestation of a state of the assembly document that includes data, metadata, content, and actions, and using an assembly document proxy to build the assembly document using stored information and an assembly document object to create a number of sections and a number of authored section content controls based in part on one or more of a first property associated with a begin editing operation, a second property associated with a completed section operation, a third property associated with a section status, a fourth property associated with an allow to reassign operation, and a fifth property associated with an allow to insert sections operation; applying a number of constraints to the assembly document, wherein the number of constraints determines which of the one or more participants is permitted to interact with the number of sections of the assembly document, the number of constraints defined in part by an editor role, an author role, and an observer role, wherein the editor role can be used to assign sections to authors including enabling an assigned author to reassign a section to other authors responsible for contributing content to one or more of the number of sections of the assembly document including editing root section metadata as part of assigning sections, updating section status, and restricting sections; and, generating a complete copy of the assembly document for each participant as part of a document assembly process using the assembly workspace and the assembly document proxy. 12. The non-transitory computer-readable medium of claim 1 , wherein the instructions, when executed, collaborate information by using a schema to identify the assembly workspace associated with the assembly document. | 0.881808 |
8,947,745 | 12 | 20 | 12. An imaging scanner comprising: an image capturing component configured to sequentially capturing two or more images of a single document; and a processor configured to: identify a first location in a first captured image where information to be decoded is located, analyze each character in the first location, and produce a first string including both a corresponding character and a first confidence value for each character in the first location; determine that a first measurement of the confidence values in the first string is beyond a range associated with a first confidence threshold; identify a second location in a second captured image where information to be decoded is located, analyze each character in the second location, produce a second string including both a corresponding character and a second confidence value for each character in the second location; compare the first confidence value for each character in an identified location in the first string with the second confidence value for the character in the same identified location in the second string; select a character from one of the first string or the second string with a higher confidence value; and produce and output a combined string including the selected characters. | 12. An imaging scanner comprising: an image capturing component configured to sequentially capturing two or more images of a single document; and a processor configured to: identify a first location in a first captured image where information to be decoded is located, analyze each character in the first location, and produce a first string including both a corresponding character and a first confidence value for each character in the first location; determine that a first measurement of the confidence values in the first string is beyond a range associated with a first confidence threshold; identify a second location in a second captured image where information to be decoded is located, analyze each character in the second location, produce a second string including both a corresponding character and a second confidence value for each character in the second location; compare the first confidence value for each character in an identified location in the first string with the second confidence value for the character in the same identified location in the second string; select a character from one of the first string or the second string with a higher confidence value; and produce and output a combined string including the selected characters. 20. The imaging scanner of claim 12 , wherein the processor is configured to determine that a first measurement of the confidence values in the combined string is beyond the range associated with the first confidence threshold, identify a third location in a third captured image where information to be decoded is located, analyze each character in the third location, and produce a third string including a corresponding character and a confidence value for each character in the third location. | 0.731641 |
9,489,679 | 1 | 10 | 1. A system for an interactive query performed using digital hardware devices, comprising: a first input module capable of receiving input for creating a simulated personality for a first user; an expert system capable of creating and storing the simulated personality; an output module for presenting the simulated personality to a second user; an interactive query module capable of allowing the second user to communicate with the simulated personality of the first user; wherein the first input module comprises an interactive question and answer module for receiving input regarding personality traits of the first user; wherein the input module is further configured for receiving input for creating plurality of simulated personalities for the first user, each of the plurality of simulated personalities relating to a personality of the user at a time t n ; wherein the interactive query module is further configured for allowing the second user to select which of the simulated personalities of the first user with which to communicate; and wherein each time t n represents different age of the first user. | 1. A system for an interactive query performed using digital hardware devices, comprising: a first input module capable of receiving input for creating a simulated personality for a first user; an expert system capable of creating and storing the simulated personality; an output module for presenting the simulated personality to a second user; an interactive query module capable of allowing the second user to communicate with the simulated personality of the first user; wherein the first input module comprises an interactive question and answer module for receiving input regarding personality traits of the first user; wherein the input module is further configured for receiving input for creating plurality of simulated personalities for the first user, each of the plurality of simulated personalities relating to a personality of the user at a time t n ; wherein the interactive query module is further configured for allowing the second user to select which of the simulated personalities of the first user with which to communicate; and wherein each time t n represents different age of the first user. 10. The system of claim 1 , wherein the second user comprises a automobile dealer and the first user comprises a potential buyer of an automobile. | 0.5 |
8,849,676 | 1 | 3 | 1. A system for processing content, the system comprising: a content data store configured to store an audiobook, the audiobook comprising an audio narration that references a plurality of original objects and includes a recitation of at least one original attribute of each original object; a narration data store configured to store a plurality of audio clips, each audio clip affiliated with a speaker; and a computing device in communication with the content data store and the narration data store, the computing device configured to: access a social graph comprising a plurality of social graph objects; select a social graph object from the plurality of social graph objects, the selected social graph object comprising at least one social graph attribute; select an original object; and replace, in the audio narration of the audiobook, the recitation of at least one original attribute of the selected original object with a replacement recitation of the at least one social graph attribute to form a modified audiobook; wherein the replacement recitation is generated from one or more audio clips stored in the narration data store. | 1. A system for processing content, the system comprising: a content data store configured to store an audiobook, the audiobook comprising an audio narration that references a plurality of original objects and includes a recitation of at least one original attribute of each original object; a narration data store configured to store a plurality of audio clips, each audio clip affiliated with a speaker; and a computing device in communication with the content data store and the narration data store, the computing device configured to: access a social graph comprising a plurality of social graph objects; select a social graph object from the plurality of social graph objects, the selected social graph object comprising at least one social graph attribute; select an original object; and replace, in the audio narration of the audiobook, the recitation of at least one original attribute of the selected original object with a replacement recitation of the at least one social graph attribute to form a modified audiobook; wherein the replacement recitation is generated from one or more audio clips stored in the narration data store. 3. The system for processing content of claim 1 , wherein the social graph is associated with a consumer of the audiobook. | 0.57931 |
8,510,173 | 6 | 7 | 6. The method of claim 1 wherein the source information comprises a plurality of sources, and each source of the plurality of sources has a reliability rating. | 6. The method of claim 1 wherein the source information comprises a plurality of sources, and each source of the plurality of sources has a reliability rating. 7. The method of claim 6 wherein the reliability rating is based on the accuracy of information within a source. | 0.678161 |
8,340,955 | 2 | 4 | 2. A method as in claim 1 , wherein the feature scoring function is a linear combination of weighted features. | 2. A method as in claim 1 , wherein the feature scoring function is a linear combination of weighted features. 4. A method as in claim 2 , wherein the parameters of the scoring function are learned by a machine learning algorithm. | 0.5 |
8,727,777 | 7 | 14 | 7. A system for conceptualizing spatial concepts, said system comprising: a plurality of horizontally extending tactile feedback members; means for magnetically coupling each of said plurality of horizontally extending tactile feedback members to a magnetic working surface; at least one vertically extending tactile feedback member; means for magnetically coupling at least said one vertically extending tactile feedback member to the magnetic working surface at a location that is interposed between two of said plurality of horizontally extending tactile feedback members that are consecutively coupled to the magnetic working surface for defining horizontally and vertically partitioned work areas; and wherein each of said plurality of horizontally extending tactile feedback members is comprised of means for receiving a portion of at least one medium for locating a remaining portion of at least the one medium in one of said horizontally or vertically partitioned work areas for conveying spatial concepts to students for aiding the students in the conceptualization of these spatial concepts. | 7. A system for conceptualizing spatial concepts, said system comprising: a plurality of horizontally extending tactile feedback members; means for magnetically coupling each of said plurality of horizontally extending tactile feedback members to a magnetic working surface; at least one vertically extending tactile feedback member; means for magnetically coupling at least said one vertically extending tactile feedback member to the magnetic working surface at a location that is interposed between two of said plurality of horizontally extending tactile feedback members that are consecutively coupled to the magnetic working surface for defining horizontally and vertically partitioned work areas; and wherein each of said plurality of horizontally extending tactile feedback members is comprised of means for receiving a portion of at least one medium for locating a remaining portion of at least the one medium in one of said horizontally or vertically partitioned work areas for conveying spatial concepts to students for aiding the students in the conceptualization of these spatial concepts. 14. The system of claim 7 wherein said means for receiving a portion of at least one tactile medium for locating a remaining portion of at least the one tactile medium in one of said horizontally or vertically partitioned work areas is comprised of a rear beveled face having a rectangularly shaped planar face, a first beveled friction surface extending along a first longitudinal edge of said rectangularly shaped planar face, and a second beveled friction surface spaced from said first beveled friction surface and extending along a second longitudinal edge of said rectangularly shaped planar face wherein said first and second beveled friction surfaces are angled away from said rear beveled face at an acute angle. | 0.5 |
9,854,390 | 1 | 4 | 1. An apparatus comprising: a processor circuit; an interface to communicatively couple the processor circuit to a network; and a storage communicatively coupled to the processor circuit and storing a sequence of instructions that when executed by the processor circuit, causes the processor circuit to: operate the interface to receive context data of a scheduled event and an association data comprising identifiers that each uniquely identify a corresponding accepted computing device with which to engage in interactions; operate the interface to receive an identifier from a computing device; compare the identifier to the association data to determine whether the computing device is an accepted computing device; retrieve an aspect of a current context of the apparatus, the aspect of the current context of the apparatus comprising one or more of a current time or a current location of the apparatus; in response to a determination that the computing device is an accepted computing device, compare the aspect to the context data to determine whether an appropriate context exists to share resources and exchange provision of network services with the computing device through the network; and in response to a determination that the appropriate context exists, engage in the interactions with the computing device through the network, the interactions to comprise receipt of an indication of an available network service and a requested network service from the computing device, provision of the requested network service to the computing device from the apparatus based on the indication, and provision of the available network service to the apparatus from the computing device based on the indication. | 1. An apparatus comprising: a processor circuit; an interface to communicatively couple the processor circuit to a network; and a storage communicatively coupled to the processor circuit and storing a sequence of instructions that when executed by the processor circuit, causes the processor circuit to: operate the interface to receive context data of a scheduled event and an association data comprising identifiers that each uniquely identify a corresponding accepted computing device with which to engage in interactions; operate the interface to receive an identifier from a computing device; compare the identifier to the association data to determine whether the computing device is an accepted computing device; retrieve an aspect of a current context of the apparatus, the aspect of the current context of the apparatus comprising one or more of a current time or a current location of the apparatus; in response to a determination that the computing device is an accepted computing device, compare the aspect to the context data to determine whether an appropriate context exists to share resources and exchange provision of network services with the computing device through the network; and in response to a determination that the appropriate context exists, engage in the interactions with the computing device through the network, the interactions to comprise receipt of an indication of an available network service and a requested network service from the computing device, provision of the requested network service to the computing device from the apparatus based on the indication, and provision of the available network service to the apparatus from the computing device based on the indication. 4. The apparatus of claim 1 , the aspect of the current context comprising a current location of the apparatus, the context data comprising an indication of a particular place being of interest to a person associated with the apparatus, and determining that an appropriate context exists comprising determining that the current location of the apparatus is at the particular place. | 0.5 |
7,490,092 | 1 | 4 | 1. A method of indexing and searching timed media files comprising the steps of: extracting data from a timed media file, said extracted data comprising at least one information representation, wherein each of said at least one information representation is an indicator of material relevant to a search; and calculating relevance intervals for each of said at least one information representation from said extracted data, wherein each relevance interval is a continuous section of the timed media file in which a corresponding one of said at least one information representation occurs in the timed media file and which is deemed relevant to the corresponding one of said at least one information representation based on said extracted data, said calculation of relevance intervals for each of said at least one information representation including a calculation of relevance interval start and end times that is dependent upon the information representation such that each continuous section of the timed media file has start and end times. | 1. A method of indexing and searching timed media files comprising the steps of: extracting data from a timed media file, said extracted data comprising at least one information representation, wherein each of said at least one information representation is an indicator of material relevant to a search; and calculating relevance intervals for each of said at least one information representation from said extracted data, wherein each relevance interval is a continuous section of the timed media file in which a corresponding one of said at least one information representation occurs in the timed media file and which is deemed relevant to the corresponding one of said at least one information representation based on said extracted data, said calculation of relevance intervals for each of said at least one information representation including a calculation of relevance interval start and end times that is dependent upon the information representation such that each continuous section of the timed media file has start and end times. 4. A method of indexing and searching timed media files, as recited in claim 1 , further comprising the step of creating a search index containing said relevance intervals. | 0.701389 |
7,492,888 | 4 | 14 | 4. The method according to claim 1 wherein the contact evaluation parameter is derived from information obtained from a database, the database being accessed based upon an identification of the call. | 4. The method according to claim 1 wherein the contact evaluation parameter is derived from information obtained from a database, the database being accessed based upon an identification of the call. 14. The method according to claim 4 wherein the contact evaluation parameter corresponds to the customer name and the selected business rule compares the customer name to a VIP (very important persons) list to assign one of a plurality of levels of priority associated with the VIP list. | 0.5625 |
6,044,365 | 1 | 3 | 1. A system for indexing and retrieving information for social expression cards comprising: means for linking said information for each social expression card to a set of descriptors; means for allowing a user to enter one or more search descriptors; thesaurus means for expanding the list of search descriptors by including equivalent words for the search descriptors; and means for retrieving said information for social expression cards linked to said search descriptors or equivalent words for said search descriptors in said expanded list. | 1. A system for indexing and retrieving information for social expression cards comprising: means for linking said information for each social expression card to a set of descriptors; means for allowing a user to enter one or more search descriptors; thesaurus means for expanding the list of search descriptors by including equivalent words for the search descriptors; and means for retrieving said information for social expression cards linked to said search descriptors or equivalent words for said search descriptors in said expanded list. 3. The system of claim 1, wherein each social expression card is identified by an identifier that is linked to one or more meaning referent sets comprised of items in the thesaurus. | 0.595982 |
7,483,865 | 1 | 4 | 1. A system comprising: a processor; a data bus coupled to the processor; a memory coupled to the data bus; and a computer-usable medium embodying computer program code, the computer program code comprising instructions executable by the processor and configured for: gathering available data about relevant attributes of high-value entities that are to be classified, wherein the relevant attributes include one dependent variable and multiple independent variables for each high-value entity, wherein the dependent variable identifies a particular high-value entity, and wherein the independent variables are values that represent answers to questions asked about the particular high-value entity; preparing the available data, about each high-value entity, for analysis by: validating values for the available data, converting non-numeric values that make up the available data into numeric values, and inverting scales as needed such that increases in each independent variable lead to increases in a correlating dependent variable; computing a computed weight for each independent variable associated with the high-value entities, wherein the computed weight is set to zero for any independent variable that has missing values, and wherein the computed weight is increased above a standard baseline weight value for any independent variable that has no missing values; scoring each high-value entity variable by multiplying each independent variable, of said each high-value entity, by the computed weight to create a score for every high-value entity; classifying all high-value entities as cases that have a similar calibration score that is based on a) multiplying each independent variable by its computed weigh to create a weight product, b) summing the weight products for all independent variables into a score for each dependent variable, and c) calculating a combination of scores for each dependent variable to classify similar cases of high-value entities; categorizing each high-value entity according to the calculated combination of scores for each dependent variable assigned to the entity; and representing all high-value entities as high-value entity representations in a calibrated visual model, wherein a newly classified high-value entity, which has missing data in its independent variables, is displayed in a graphical manner such that similarly scored high-value entities are represented in close proximity to one another. | 1. A system comprising: a processor; a data bus coupled to the processor; a memory coupled to the data bus; and a computer-usable medium embodying computer program code, the computer program code comprising instructions executable by the processor and configured for: gathering available data about relevant attributes of high-value entities that are to be classified, wherein the relevant attributes include one dependent variable and multiple independent variables for each high-value entity, wherein the dependent variable identifies a particular high-value entity, and wherein the independent variables are values that represent answers to questions asked about the particular high-value entity; preparing the available data, about each high-value entity, for analysis by: validating values for the available data, converting non-numeric values that make up the available data into numeric values, and inverting scales as needed such that increases in each independent variable lead to increases in a correlating dependent variable; computing a computed weight for each independent variable associated with the high-value entities, wherein the computed weight is set to zero for any independent variable that has missing values, and wherein the computed weight is increased above a standard baseline weight value for any independent variable that has no missing values; scoring each high-value entity variable by multiplying each independent variable, of said each high-value entity, by the computed weight to create a score for every high-value entity; classifying all high-value entities as cases that have a similar calibration score that is based on a) multiplying each independent variable by its computed weigh to create a weight product, b) summing the weight products for all independent variables into a score for each dependent variable, and c) calculating a combination of scores for each dependent variable to classify similar cases of high-value entities; categorizing each high-value entity according to the calculated combination of scores for each dependent variable assigned to the entity; and representing all high-value entities as high-value entity representations in a calibrated visual model, wherein a newly classified high-value entity, which has missing data in its independent variables, is displayed in a graphical manner such that similarly scored high-value entities are represented in close proximity to one another. 4. The system of claim 1 , wherein the step of preparing the available data, about each high-value entity, for analysis further comprises transforming the values to reduce any severe non-normalities that are present. | 0.846591 |
8,234,368 | 1 | 2 | 1. A computer program product embodied on a non-transitory computer readable medium, comprising: computer code for monitoring a plurality of actions associated with at least one communication for lawful intercept purposes; computer code for correlating the actions into a communication flow independent of an address associated with the actions; and computer code for reporting the communication flow to a lawful intercept framework; wherein the computer program product is operable such that the actions are correlated utilizing a unique identifier of a subscriber associated with the actions; wherein the computer program product is operable such that an address utilized to perform each action is determined to be associated with the unique identifier of the subscriber, and the correlation is based on the determination; wherein the computer program product is operable such that at least a portion of the actions are associated with a different address and each of the different addresses is associated with the unique identifier of the subscriber, such that the portions are correlated based on the determination that each address utilized to perform each action is associated with the unique identifier of the subscriber. | 1. A computer program product embodied on a non-transitory computer readable medium, comprising: computer code for monitoring a plurality of actions associated with at least one communication for lawful intercept purposes; computer code for correlating the actions into a communication flow independent of an address associated with the actions; and computer code for reporting the communication flow to a lawful intercept framework; wherein the computer program product is operable such that the actions are correlated utilizing a unique identifier of a subscriber associated with the actions; wherein the computer program product is operable such that an address utilized to perform each action is determined to be associated with the unique identifier of the subscriber, and the correlation is based on the determination; wherein the computer program product is operable such that at least a portion of the actions are associated with a different address and each of the different addresses is associated with the unique identifier of the subscriber, such that the portions are correlated based on the determination that each address utilized to perform each action is associated with the unique identifier of the subscriber. 2. The computer program product of claim 1 , wherein the actions are invoked by the subscriber. | 0.681208 |
8,447,603 | 10 | 14 | 10. A server usable for evaluating naturalness of speech utterances by using crowd wisdom models, the server comprising: a features extraction module; a modeler; a scoring module; and a client-server communication module, wherein the server is in communication with a plurality of client devices that have user interface modules that are each controlled by the client-server communication module, wherein the client-server communication module is configured to: present, via the client devices, a plurality of human-testers with some of the obtained speech utterances, and receive, via the client devices, for each presented speech utterance, a plurality of corresponding human testers generated speech utterances being repetitions of the presented speech utterance, wherein the features extraction module is configured to extract speech features from speech utterances, wherein the modeler is configured to: generate, for each presented speech utterance, an utterance-specific scoring model for each one of a plurality of obtained speech utterances, that is based on respective the corresponding human-tester generated speech utterances, each scoring model being configured to estimate a level of speech naturalness for the presented speech utterances using at least crowd wisdom models, and update the utterance-specific scoring model based on the speech features extracted from the received speech utterances, and wherein the scoring module is configured to derive a speech naturalness score for each presented speech utterance, by applying the updated utterance-specific scoring model to each presented speech utterance, wherein at least one of: the features extraction module, the modeler, the scoring module and the client-server communication module is at least partially embodied in hardware. | 10. A server usable for evaluating naturalness of speech utterances by using crowd wisdom models, the server comprising: a features extraction module; a modeler; a scoring module; and a client-server communication module, wherein the server is in communication with a plurality of client devices that have user interface modules that are each controlled by the client-server communication module, wherein the client-server communication module is configured to: present, via the client devices, a plurality of human-testers with some of the obtained speech utterances, and receive, via the client devices, for each presented speech utterance, a plurality of corresponding human testers generated speech utterances being repetitions of the presented speech utterance, wherein the features extraction module is configured to extract speech features from speech utterances, wherein the modeler is configured to: generate, for each presented speech utterance, an utterance-specific scoring model for each one of a plurality of obtained speech utterances, that is based on respective the corresponding human-tester generated speech utterances, each scoring model being configured to estimate a level of speech naturalness for the presented speech utterances using at least crowd wisdom models, and update the utterance-specific scoring model based on the speech features extracted from the received speech utterances, and wherein the scoring module is configured to derive a speech naturalness score for each presented speech utterance, by applying the updated utterance-specific scoring model to each presented speech utterance, wherein at least one of: the features extraction module, the modeler, the scoring module and the client-server communication module is at least partially embodied in hardware. 14. The server according to claim 10 , wherein, the client-server communication module is configured to present the obtained speech utterances by at least one of: playing the presented utterance, exhibiting a text that has a respective content of the presented speech utterance, and a simultaneous combination of the playing and the exhibiting. | 0.625272 |
8,839,123 | 14 | 17 | 14. A device, comprising: a repository to store an association of a swiping action with a spacing operation and an association of user selected characters with a plurality of scrollable subsets of characters; a processor coupled to the repository; and an interface engine executed by the processor that: provides a configuration interface comprising a character section selection menu, a current character selections window displaying selections from the character section selection menu, an operation selection menu, and a current action selections window displaying selections from the operation selection menu, receives a user selection of characters to associate with the plurality of scrollable subsets of characters via the character section selection menu, displays the user selection of characters to associate with the plurality of scrollable subsets of characters in the current character selections window; receives user input associating a swiping action with a spacing operation via the operation selection menu, displays the user input associating the swiping action with the spacing operation in the current action selections window, receives user input defining a user-defined location on a display for the plurality of scrollable subsets of characters, stores the user-defined location for the plurality of scrollable subsets of characters in the repository, provides a visual interface to receive a user input of the swiping action, the visual interface comprising the plurality of scrollable subsets of characters on the display, the selection of characters for a corresponding scrollable subset of characters arranged to be rotably displayed on the display, wherein the plurality of scrollable subsets of characters are configured to adjust independently of each other in response to signals received from the display, and performs the spacing operation in response to receiving the user input of the swiping action via the visual interface in the display. | 14. A device, comprising: a repository to store an association of a swiping action with a spacing operation and an association of user selected characters with a plurality of scrollable subsets of characters; a processor coupled to the repository; and an interface engine executed by the processor that: provides a configuration interface comprising a character section selection menu, a current character selections window displaying selections from the character section selection menu, an operation selection menu, and a current action selections window displaying selections from the operation selection menu, receives a user selection of characters to associate with the plurality of scrollable subsets of characters via the character section selection menu, displays the user selection of characters to associate with the plurality of scrollable subsets of characters in the current character selections window; receives user input associating a swiping action with a spacing operation via the operation selection menu, displays the user input associating the swiping action with the spacing operation in the current action selections window, receives user input defining a user-defined location on a display for the plurality of scrollable subsets of characters, stores the user-defined location for the plurality of scrollable subsets of characters in the repository, provides a visual interface to receive a user input of the swiping action, the visual interface comprising the plurality of scrollable subsets of characters on the display, the selection of characters for a corresponding scrollable subset of characters arranged to be rotably displayed on the display, wherein the plurality of scrollable subsets of characters are configured to adjust independently of each other in response to signals received from the display, and performs the spacing operation in response to receiving the user input of the swiping action via the visual interface in the display. 17. The device of claim 14 , further comprising: an input device coupled to the interface engine, wherein the interface engine further: receives additional signals from the input device; and translates the additional signals into operations associated with the visual interface. | 0.588757 |
9,436,382 | 5 | 6 | 5. A method as described in claim 4 , wherein the natural language input involves a name and the determining is performed to define at least part of a boundary of at least a portion of the image that is associated with the name. | 5. A method as described in claim 4 , wherein the natural language input involves a name and the determining is performed to define at least part of a boundary of at least a portion of the image that is associated with the name. 6. A method as described in claim 5 , wherein the name is a name of a landmark and the determining further comprises identifying the landmark in the image. | 0.5 |
8,151,254 | 2 | 9 | 2. A compilation method for translating a source program into a machine language program, using operation definition information in which an operation that corresponds to a machine language instruction for a target processor is defined in a format of a function invocation, the compilation method comprising: a parser step of analyzing, using a processor, the source program; and a code generation step of generating machine language instructions including first instructions and second instructions from the analyzed source program which includes operations defined in the operation definition information, the first instructions corresponding to the operations, the second instructions not corresponding to the operations, wherein the code generation step includes a removing sub-step of removing redundancy between the first instructions and the second instructions. | 2. A compilation method for translating a source program into a machine language program, using operation definition information in which an operation that corresponds to a machine language instruction for a target processor is defined in a format of a function invocation, the compilation method comprising: a parser step of analyzing, using a processor, the source program; and a code generation step of generating machine language instructions including first instructions and second instructions from the analyzed source program which includes operations defined in the operation definition information, the first instructions corresponding to the operations, the second instructions not corresponding to the operations, wherein the code generation step includes a removing sub-step of removing redundancy between the first instructions and the second instructions. 9. The compilation method according to claim 2 , wherein the operations include a function that returns a zero-expanded value based on bits extracted at designated bit positions from input data, and one of the first instructions takes out bits at the bit positions designated by a second register from a value stored in a first register, zero-expands said bits and stores the zero-expanded bits in a third register. | 0.5 |
9,788,179 | 25 | 30 | 25. A computer system comprising: at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the system to: receive, from a mobile device, an image of a screen generated by a first mobile application executing on the mobile device, determine a window that includes a chronological set of images, the images each representing a respective screen captured from a screen generated by a mobile application executing on the mobile device, and each of the images and having an associated timestamp, identify entities appearing in images in a first portion of the window using text recognized in images in a remaining portion of the window as context to disambiguate ambiguous entity references, and provide the identified entities to the mobile device for customizing mobile applications executing on the device. | 25. A computer system comprising: at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the system to: receive, from a mobile device, an image of a screen generated by a first mobile application executing on the mobile device, determine a window that includes a chronological set of images, the images each representing a respective screen captured from a screen generated by a mobile application executing on the mobile device, and each of the images and having an associated timestamp, identify entities appearing in images in a first portion of the window using text recognized in images in a remaining portion of the window as context to disambiguate ambiguous entity references, and provide the identified entities to the mobile device for customizing mobile applications executing on the device. 30. The system of claim 25 , wherein the instructions further include instructions that, when executed by the at least one processor, cause the system to: calculate a rank for a first entity of the entities identified in the first portion based on an amount of time the first entity appears in the images; and store the first entity with the rank in the memory. | 0.662617 |
7,596,743 | 9 | 12 | 9. A machine implemented data bit error management method comprising: selecting a set of parity bit positions for parity bits to protect a set of data bits, each data bit having a data bit position in said data bit set, said number of parity bits being at least four; associating each data bit position with a different syndrome, each syndrome comprising a sub-set of at least three parity bit positions, such that each said sub-set has at least one parity bit position shared with at least one other said sub-set and wherein said associating is such that a syndrome associated with a lower order data bit position equates to a word with a lower numerical value than does a syndrome associated with a next higher order data bit position; calculating a parity bit value for each parity bit position from all data bit positions associated with said each parity bit position; and transmitting said set of data bits and said set of parity bit. | 9. A machine implemented data bit error management method comprising: selecting a set of parity bit positions for parity bits to protect a set of data bits, each data bit having a data bit position in said data bit set, said number of parity bits being at least four; associating each data bit position with a different syndrome, each syndrome comprising a sub-set of at least three parity bit positions, such that each said sub-set has at least one parity bit position shared with at least one other said sub-set and wherein said associating is such that a syndrome associated with a lower order data bit position equates to a word with a lower numerical value than does a syndrome associated with a next higher order data bit position; calculating a parity bit value for each parity bit position from all data bit positions associated with said each parity bit position; and transmitting said set of data bits and said set of parity bit. 12. The method of claim 9 wherein said sub-set has at least 2n+1 parity bit positions, where n is a positive integer. | 0.53937 |
7,506,022 | 20 | 23 | 20. A method for processing voice recognition in a client/server system comprising: transmitting information from a web server a markup language page having extensions configured to obtain input data from a user a first client device and a user of a second client device, wherein the first client device and the second client device are remote from each other and communicate with the web server over a wide area network, the first client device having a visual interface browser to access information from the web server and a visual rendering device, and the second client device comprising a telephone and a voice browser to access information from the web server; rendering the markup language page on each of the client devices; obtaining input data as a function of input from each of the users of the corresponding client devices; transmitting the input data and an indication of an associated grammar over the wide area network to a single recognition server remote from each of the client devices, the recognition server being connected to the wide area network; processing the input data with the associated grammar using the single recognition server; transmitting a recognition result from the single recognition server indicative of what was inputted from each client device over the wide area network to at least one of the corresponding client device providing the input and the web server; receiving over the wide area network and at the single recognition server data indicative of a prompt for the user to be used when the recognition results are indicative of no recognition of the input from one of the client devices; converting at the single recognition server the data indicative of the prompt to audible speech data when the recognition results are indicative of no recognition of the input from said one of the client devices; and sending the audible speech data to said one of the client devices over the wide area network. | 20. A method for processing voice recognition in a client/server system comprising: transmitting information from a web server a markup language page having extensions configured to obtain input data from a user a first client device and a user of a second client device, wherein the first client device and the second client device are remote from each other and communicate with the web server over a wide area network, the first client device having a visual interface browser to access information from the web server and a visual rendering device, and the second client device comprising a telephone and a voice browser to access information from the web server; rendering the markup language page on each of the client devices; obtaining input data as a function of input from each of the users of the corresponding client devices; transmitting the input data and an indication of an associated grammar over the wide area network to a single recognition server remote from each of the client devices, the recognition server being connected to the wide area network; processing the input data with the associated grammar using the single recognition server; transmitting a recognition result from the single recognition server indicative of what was inputted from each client device over the wide area network to at least one of the corresponding client device providing the input and the web server; receiving over the wide area network and at the single recognition server data indicative of a prompt for the user to be used when the recognition results are indicative of no recognition of the input from one of the client devices; converting at the single recognition server the data indicative of the prompt to audible speech data when the recognition results are indicative of no recognition of the input from said one of the client devices; and sending the audible speech data to said one of the client devices over the wide area network. 23. The method of claim 20 wherein transmitting the indication of the grammar comprises transmitting the grammar. | 0.675287 |
8,860,752 | 20 | 21 | 20. The method of claim 14 wherein said script may be associated with a plurality of application programs. | 20. The method of claim 14 wherein said script may be associated with a plurality of application programs. 21. The method of claim 20 wherein said plurality of application programs comprise an image editor program and an email program. | 0.542857 |
8,297,979 | 1 | 6 | 1. An interactive electronic device comprising: a sequence of physical language symbols; a language-symbol selector having a sight, the sequence of physical language symbols and the language-symbol selector movable in relation to one another such that each physical language symbol of the sequence of physical language symbols is viewable in the sight; a graphic user interface; and control electronics comprising an electronic memory having stored therein a plurality of traceable templates, each traceable template representing one physical language symbol of the sequence of physical language symbols, the control electronics operatively coupled to the language-symbol selector and to the graphic user interface, wherein using the language-symbol selector having a sight, selection of the one physical language symbol of the sequence of physical language symbols, when the one physical language symbol is viewable in the sight, causes the graphic user interface to produce the traceable template corresponding to the one physical language symbol and to produce a visible rendering of a movement of an affector as the affector traces the traceable template. | 1. An interactive electronic device comprising: a sequence of physical language symbols; a language-symbol selector having a sight, the sequence of physical language symbols and the language-symbol selector movable in relation to one another such that each physical language symbol of the sequence of physical language symbols is viewable in the sight; a graphic user interface; and control electronics comprising an electronic memory having stored therein a plurality of traceable templates, each traceable template representing one physical language symbol of the sequence of physical language symbols, the control electronics operatively coupled to the language-symbol selector and to the graphic user interface, wherein using the language-symbol selector having a sight, selection of the one physical language symbol of the sequence of physical language symbols, when the one physical language symbol is viewable in the sight, causes the graphic user interface to produce the traceable template corresponding to the one physical language symbol and to produce a visible rendering of a movement of an affector as the affector traces the traceable template. 6. The interactive electronic device according to claim 1 , wherein the graphic user interface comprises a visible signal generator configured to produce the traceable template, a writing renderer configured to produce the visible rendering, and an affector position detector configured to communicate to the control electronics the position of the affector as the affector traces the traceable template, the visible signal generator positioned between the affector position detector and the writing renderer. | 0.518904 |
9,658,931 | 12 | 14 | 12. A monitoring system comprising: a computer system including a memory unit that stores instructions and at least one processing unit that executes the instructions; and a remote system that is connected to the computer system, wherein the at least one processing unit executes the instructions to: receive a representation of a graphical user interface of the remote system; and control a flow of execution based on a testing script, the flow of execution including: search the received representation of the remote system graphical user interface for a graphical element based on an image analysis; and responsive to a result of searching the received representation of the remote system graphical user interface for the graphical element, automatically provide a signal through a communications channel to execute an emulated user input action on the remote system graphical user interface, wherein the input action is specified by a specific script command in the testing script. | 12. A monitoring system comprising: a computer system including a memory unit that stores instructions and at least one processing unit that executes the instructions; and a remote system that is connected to the computer system, wherein the at least one processing unit executes the instructions to: receive a representation of a graphical user interface of the remote system; and control a flow of execution based on a testing script, the flow of execution including: search the received representation of the remote system graphical user interface for a graphical element based on an image analysis; and responsive to a result of searching the received representation of the remote system graphical user interface for the graphical element, automatically provide a signal through a communications channel to execute an emulated user input action on the remote system graphical user interface, wherein the input action is specified by a specific script command in the testing script. 14. The monitoring system of claim 12 , wherein the graphical element comprises less than the entire representation of the remote system graphical user interface. | 0.825054 |
9,524,275 | 11 | 13 | 11. A method, implemented at a computer system that includes at least one processor and a system memory, for selectively translating a document, the method comprising: the processor loading a specified portion of a document written in a meta-markup language into the system memory, the specified portion comprising less than an entirety of the document, wherein at least a subset of an unspecified portion of the document remains unloaded into the system memory, and wherein the specified portion of the document is incrementally loaded from a data store using a data abstractor that abstracts documents stored in a plurality of representations, allowing the documents stored in the plurality of representations to be accessed as though the documents were stored in a standard representation; translating at least a subset of the loaded portion of the document from a first format to a second, different format; and providing at least a subset of the translated subset of the specified portion of the document for consumption by one or more entities, wherein at least a subset of unspecified portions of the document remains untranslated and unloaded into the system memory. | 11. A method, implemented at a computer system that includes at least one processor and a system memory, for selectively translating a document, the method comprising: the processor loading a specified portion of a document written in a meta-markup language into the system memory, the specified portion comprising less than an entirety of the document, wherein at least a subset of an unspecified portion of the document remains unloaded into the system memory, and wherein the specified portion of the document is incrementally loaded from a data store using a data abstractor that abstracts documents stored in a plurality of representations, allowing the documents stored in the plurality of representations to be accessed as though the documents were stored in a standard representation; translating at least a subset of the loaded portion of the document from a first format to a second, different format; and providing at least a subset of the translated subset of the specified portion of the document for consumption by one or more entities, wherein at least a subset of unspecified portions of the document remains untranslated and unloaded into the system memory. 13. The method of claim 11 , further comprising: receiving an indication that identifies a percentage of the document that is to be translated from the first format to the second, different format; determining which portion of the document comprises the identified percentage of the document; and designating the determined portion of the document as the specified portion that is loaded into the system memory for translation. | 0.5 |
8,717,299 | 1 | 3 | 1. A computer-implemented method of translating user input into at least one word having multiple characters, the method comprising: displaying a keyboard on a display, wherein the keyboard comprises multiple keys, and wherein each key in the keyboard has a relative position with respect to every other key in the keyboard, receiving a sequence of user inputs; translating the sequence of user inputs into a pattern of one or more relative directions, wherein each relative direction in the pattern corresponds to the relative position of a key in the keyboard with respect to a previous key; and using the pattern of one or more relative directions to identify the at least one word in a stored dictionary, wherein the stored dictionary associates the word with a pattern of relative directions that reflects relative positions of the keys associated with the multiple characters that form the word. | 1. A computer-implemented method of translating user input into at least one word having multiple characters, the method comprising: displaying a keyboard on a display, wherein the keyboard comprises multiple keys, and wherein each key in the keyboard has a relative position with respect to every other key in the keyboard, receiving a sequence of user inputs; translating the sequence of user inputs into a pattern of one or more relative directions, wherein each relative direction in the pattern corresponds to the relative position of a key in the keyboard with respect to a previous key; and using the pattern of one or more relative directions to identify the at least one word in a stored dictionary, wherein the stored dictionary associates the word with a pattern of relative directions that reflects relative positions of the keys associated with the multiple characters that form the word. 3. The computer-implemented method of claim 1 : wherein each of the multiple of keys is associated with at least one region, and wherein translating the sequence of user inputs includes converting the sequence of user inputs into relative directions based at least in part on a region associated with each of the user inputs. | 0.5 |
8,200,486 | 15 | 18 | 15. A method for training and using a system to identify a sub-audible signal formed by a source of sub-audible sounds, the method comprising providing a computer that is programmed to execute, and does execute, the following actions: (1) receiving R signal sequences, numbered r=1, . . . , , R(R≧2), with each sequence comprising an instance of a specified sub-audible speech pattern (“SASP”), uttered by the user, and each SASP including at least one word drawn from a selected database of Q words, numbered q=1, . . . , Q (Q≧2); (2) estimating where each SASP begins and ends for each of the signal sequences; (3) providing signal values of the received signal, number r, within a temporal window having a selected window width Δt(win); (4) transforming each of the R SASPs, using an Signal Processing Transform (“SPT”) operation to obtain an SPT value that is expressed in terms of at least one transform parameter having a sequence of parameter values, including a signal frequency an a signal energy associated with the SASP; (5) providing a first matrix M with first matrix entries equal to the SPT values for the R SASPs, ordered according to each of the at least first and second transform parameters along a first matrix axis and along a second matrix axis, respectively of the matrix M; (6) tessellating the matrix M into a sequence of exhaustive and mutually exclusive, cells of the matrix entries, referred to as M-cells, with each M-cell containing a collection of contiguous matrix entries, where each M-cell is characterized according to at least one selected M-cell criterion; (7) providing, for each M-cell, an M-cell representative value depending upon at least one of the first matrix entries within the M-cell; (8) formatting the cell representative values as a vector V with vector entry values v k (q;r) numbered k=1, . . . , K (K≧2); (9) analyzing the vector entry values v k (q;r) using a neural net classifier, having a neural net architecture with at least one neural net hidden layer, and a sequence of estimated weight coefficient values w k (q,r) associated with that at least one neural net hidden layer, where the neural net classifier provides a sequence of neural net output values A(q,r), equal to a sum over the index k of each of the vector entry values v k (q,r) multiplied by a corresponding weight coefficient value w k (q,r); (10) providing a set of neural net reference output values {A(q; ref)} .as an approximation for the sum A(q,r) for the R instances of the SASP (r=1, . . . , R); (11) forming a difference Δ(q)=Σ r |A(q;r)} A(q;ref)| p , where p is a selected positive exponent (12) comparing the difference Δ(q) with a first threshold value ε(thr;1). (13) when Δ(q) is greater than a first positive threshold value ε(thr;1), adjusting at least one of the weight coefficients w k (q;r), returning to step (9), and repeating the procedures of steps (9)-(12); and (14) when Δ(q) is no greater than ε(thr;1), interpreting this condition as indicating that at least one of an optimum set of weight coefficients {w k (q;r;opt)} has been obtained, and using the set of optimum weight coefficients to receive and process a new SASP signal and to estimate whether the received new SASP signal corresponds to a reference word or reference phrase in the selected database. | 15. A method for training and using a system to identify a sub-audible signal formed by a source of sub-audible sounds, the method comprising providing a computer that is programmed to execute, and does execute, the following actions: (1) receiving R signal sequences, numbered r=1, . . . , , R(R≧2), with each sequence comprising an instance of a specified sub-audible speech pattern (“SASP”), uttered by the user, and each SASP including at least one word drawn from a selected database of Q words, numbered q=1, . . . , Q (Q≧2); (2) estimating where each SASP begins and ends for each of the signal sequences; (3) providing signal values of the received signal, number r, within a temporal window having a selected window width Δt(win); (4) transforming each of the R SASPs, using an Signal Processing Transform (“SPT”) operation to obtain an SPT value that is expressed in terms of at least one transform parameter having a sequence of parameter values, including a signal frequency an a signal energy associated with the SASP; (5) providing a first matrix M with first matrix entries equal to the SPT values for the R SASPs, ordered according to each of the at least first and second transform parameters along a first matrix axis and along a second matrix axis, respectively of the matrix M; (6) tessellating the matrix M into a sequence of exhaustive and mutually exclusive, cells of the matrix entries, referred to as M-cells, with each M-cell containing a collection of contiguous matrix entries, where each M-cell is characterized according to at least one selected M-cell criterion; (7) providing, for each M-cell, an M-cell representative value depending upon at least one of the first matrix entries within the M-cell; (8) formatting the cell representative values as a vector V with vector entry values v k (q;r) numbered k=1, . . . , K (K≧2); (9) analyzing the vector entry values v k (q;r) using a neural net classifier, having a neural net architecture with at least one neural net hidden layer, and a sequence of estimated weight coefficient values w k (q,r) associated with that at least one neural net hidden layer, where the neural net classifier provides a sequence of neural net output values A(q,r), equal to a sum over the index k of each of the vector entry values v k (q,r) multiplied by a corresponding weight coefficient value w k (q,r); (10) providing a set of neural net reference output values {A(q; ref)} .as an approximation for the sum A(q,r) for the R instances of the SASP (r=1, . . . , R); (11) forming a difference Δ(q)=Σ r |A(q;r)} A(q;ref)| p , where p is a selected positive exponent (12) comparing the difference Δ(q) with a first threshold value ε(thr;1). (13) when Δ(q) is greater than a first positive threshold value ε(thr;1), adjusting at least one of the weight coefficients w k (q;r), returning to step (9), and repeating the procedures of steps (9)-(12); and (14) when Δ(q) is no greater than ε(thr;1), interpreting this condition as indicating that at least one of an optimum set of weight coefficients {w k (q;r;opt)} has been obtained, and using the set of optimum weight coefficients to receive and process a new SASP signal and to estimate whether the received new SASP signal corresponds to a reference word or reference phrase in the selected database. 18. The method of claim 15 , wherein said computer is further programmed to execute, and does execute, the following actions: (15) receiving a new sub-audible speech pattern SASP1 uttered by said user, comprising an instance of at least one unknown word, referred to as a “new” word, identified with an index q1, that may be but is not necessarily drawn from said database of Q words; (16) estimating where the new word begins and ends in the new SASP1; (17) providing signal values of the received SASP1 within each of said temporal windows; (18) transforming each of the signal values of the new SASP1, using said Signal Processing Transform (SPT) operation to obtain new SASP1 SPT values, where each SASP1 SPT value is expressed in terms of said at least first and second transform parameters, including a signal frequency and a signal energy associated with the SASP1; (19) providing a second matrix M1 with second matrix entries equal to SPT values for the SASP1, ordered according to each of said at least first and second transform parameters along first and second matrix axes of the second matrix M1; (20) tessellating the matrix M1 into a sequence of exhaustive and mutually exclusive M1-cells that correspond to said sequence of said M-cells for said matrix M where each M1-cell is characterized according to said or more cell criteria for said M-cells; (21) providing, for each M1-cell, an M1-cell representative value depending upon at least one of the second matrix entry values within the M1-cell; (22) formatting the M1-cell representative values as a vector V1 with vector entries v1 k (q1), numbered k=1, . . . , K (K≧2), where q1 refers to said index associated with said new word; (23) analyzing the vector entry values v1 k (q1) using said neural net classifier, having said neural net architecture with said at least one neural net hidden layer, and a sequence w k (q1,opt) of said optimum weight coefficients w k (q1,r1;opt), associated with said at least one neural net hidden layer, and averaged over said R instances (r1=1, . . . , R) of said SASP uttered by said user in claim 15 , (24) providing a neural net output value A1(q1), equal to a sum over the index k of each of the vector entry values v1 k (q1) multiplied by the corresponding averaged optimum weight coefficient value w k (q1,opt); (25) providing a set of neural net reference output values {A1(q′; ref)} as an approximation for the sum A1(q1) for the R1 instances of the SASP1, where q′ is one of said indices corresponding to said database of Q words; (26) forming a comparison difference Δ1(q1,q′)=|A1(q1)} —A(q′; ref) | p , where said quantities A1(q′;ref) and p are determined as in claim 15 ; (27) comparing the difference Δ1(q1,q′) with said first threshold value ε(thr;1). (28) when Δ1(q1,q′) is greater than said first threshold value ε(thr;1), interpreting this condition as indicating that said sub-audible speech pattern SASP1 received is not a sub-audible speech pattern from said database with the corresponding number q1=q′; and (29) when Δ1(q1,q′) is no greater than ε(thr;1), interpreting this condition as indicating that said sub-audible speech pattern SASP1 received is likely to be a sub-audible speech pattern from said database, indexed by q′, with the corresponding index q1. | 0.5 |
8,135,579 | 2 | 8 | 2. The method of claim 1 , said knowledge derived from said historical conversational transcripts comprising: clustering textual segments in said historical conversational transcripts into groups of related textual segments; representing each of said groups of related textual segments by a representative syntax; forming a sequence of said representative syntax for each historical conversational transcript; finding frequently occurring subsequences from said sequence of representative syntax; and finding distinct and long frequently occurring subsequences from said frequently occurring subsequences. | 2. The method of claim 1 , said knowledge derived from said historical conversational transcripts comprising: clustering textual segments in said historical conversational transcripts into groups of related textual segments; representing each of said groups of related textual segments by a representative syntax; forming a sequence of said representative syntax for each historical conversational transcript; finding frequently occurring subsequences from said sequence of representative syntax; and finding distinct and long frequently occurring subsequences from said frequently occurring subsequences. 8. The method of claim 2 , said clustering textual segments in said historical conversational transcripts into groups of related textual segments further comprising utilizing a set of configurable clustering parameters to cluster said related textual segments. | 0.577922 |
9,405,377 | 13 | 14 | 13. A device that performs actions associated with gestures performed by a user, the device comprising: a memory; at least two sensors providing at least two sensor outputs; a gesture trainer that: while the user performs the gesture, monitors the at least two sensors to detect one or more identified sensor outputs identifying the gesture, the detecting the one or more identified sensor output comprises: identifying, at least one recognizing sensor providing an identified sensor output identifying the gesture; and identifying at least one non-recognizing sensor that does not provide an identified sensor output identifying the gesture; and stores in the memory the one or more identified sensor outputs that together identify the gesture, the storing excluding, the identified sensor output of the at least one non-recognizing sensor; an action associator that, upon receiving from the user an action to be associated with the gesture, stores in the memory an association of the action with the gesture; and a gesture recognizer that: monitors the at least two sensor outputs of the at least two sensors to detect the one or more identified sensor outputs identifying the gesture; and performs the action associated in the memory with the gesture associated with the one or more identified sensor outputs. | 13. A device that performs actions associated with gestures performed by a user, the device comprising: a memory; at least two sensors providing at least two sensor outputs; a gesture trainer that: while the user performs the gesture, monitors the at least two sensors to detect one or more identified sensor outputs identifying the gesture, the detecting the one or more identified sensor output comprises: identifying, at least one recognizing sensor providing an identified sensor output identifying the gesture; and identifying at least one non-recognizing sensor that does not provide an identified sensor output identifying the gesture; and stores in the memory the one or more identified sensor outputs that together identify the gesture, the storing excluding, the identified sensor output of the at least one non-recognizing sensor; an action associator that, upon receiving from the user an action to be associated with the gesture, stores in the memory an association of the action with the gesture; and a gesture recognizer that: monitors the at least two sensor outputs of the at least two sensors to detect the one or more identified sensor outputs identifying the gesture; and performs the action associated in the memory with the gesture associated with the one or more identified sensor outputs. 14. The device of claim 13 , wherein: detecting the identified sensor output identifying the gesture further comprises: requesting the user to identify, among the at least two sensors, at least one selected sensor identifying the gesture; while the user performs the gesture, monitoring only the at least one selected sensor to detect an identified sensor output identifying the gesture; and storing the one or more identified sensor outputs in the memory further comprises: storing in the memory the identified sensor outputs only of the respective at least one selected sensor. | 0.5 |
9,401,145 | 4 | 5 | 4. The method of claim 1 , further comprising analyzing the second type of speech to determine one of compliance, quality management, and categories. | 4. The method of claim 1 , further comprising analyzing the second type of speech to determine one of compliance, quality management, and categories. 5. The method of claim 4 , further comprising: defining the second type of speech as a category; and evaluating a contact to determine if the contact contains the category. | 0.5 |
8,825,665 | 1 | 6 | 1. A non-transitory computer readable medium storing computer executable instructions for execution by a computing system, the stored instructions being executable to cause the computing system to at least: execute a database indexing process on a plurality of text documents where each entry in the database index comprises: a key comprising a subset of words occurring in at least one hierarchical node of at least one of the plurality of documents and a data value associated with the respective hierarchical node, wherein the subset of words is separated into multiple elements within the key that comprise at least one word in the subset of words and a remainder of the subset of words; and a value comprising one or more references to the text documents in which the subset of words of the respective entry occurs, wherein the at least one word in the subset of words is the first element in the key. | 1. A non-transitory computer readable medium storing computer executable instructions for execution by a computing system, the stored instructions being executable to cause the computing system to at least: execute a database indexing process on a plurality of text documents where each entry in the database index comprises: a key comprising a subset of words occurring in at least one hierarchical node of at least one of the plurality of documents and a data value associated with the respective hierarchical node, wherein the subset of words is separated into multiple elements within the key that comprise at least one word in the subset of words and a remainder of the subset of words; and a value comprising one or more references to the text documents in which the subset of words of the respective entry occurs, wherein the at least one word in the subset of words is the first element in the key. 6. The computer readable medium of claim 1 , wherein the data value in each key comprises a path of the respective hierarchical node. | 0.815789 |
7,937,354 | 1 | 13 | 1. A computer-implemented method comprising: automatically generating, at a local rule engine, a rule engine vocabulary comprising a context description and a result description that respectively define an input to and an output of an external rule engine, the rule engine vocabulary defining a data type of a result; serializing the rule engine vocabulary in a schema document that, when received at the external rule engine, allows a rule to be defined by the external rule engine based on the context description and the result description; transmitting the schema document to the external rule engine; transmitting a context specified according to the context description as the input to the external rule engine, for evaluation by the rule to provide the result corresponding to the data type; receiving, at the local rule engine, the result specified according to the result description as the output of the external rule engine; and outputting the result. | 1. A computer-implemented method comprising: automatically generating, at a local rule engine, a rule engine vocabulary comprising a context description and a result description that respectively define an input to and an output of an external rule engine, the rule engine vocabulary defining a data type of a result; serializing the rule engine vocabulary in a schema document that, when received at the external rule engine, allows a rule to be defined by the external rule engine based on the context description and the result description; transmitting the schema document to the external rule engine; transmitting a context specified according to the context description as the input to the external rule engine, for evaluation by the rule to provide the result corresponding to the data type; receiving, at the local rule engine, the result specified according to the result description as the output of the external rule engine; and outputting the result. 13. The method of claim 1 , wherein the rule is a business rule that is proprietary to an operator of the external rule engine. | 0.791118 |
4,852,171 | 3 | 4 | 3. Apparatus as claimed in claim 2, wherein said second score establishing means includes: means for providing outputs from said bias template, each said output corresponding to one of said plurality of positions of said bias template and having a value determined from said stored value therein; and means for summing outputs of the bias template corresponding to positions of the utterance template having the particular binary value stored therein, whereby the sum is indicative of said relative match between said bias template and said utterance template. | 3. Apparatus as claimed in claim 2, wherein said second score establishing means includes: means for providing outputs from said bias template, each said output corresponding to one of said plurality of positions of said bias template and having a value determined from said stored value therein; and means for summing outputs of the bias template corresponding to positions of the utterance template having the particular binary value stored therein, whereby the sum is indicative of said relative match between said bias template and said utterance template. 4. Apparatus as claimed in claim 3, further comprising: means for expanding each said reference template into a first expanded reference template and a second expanded reference template, the values of said first expanded reference template representing the probability of a binary one occurring in the corresponding position of said utterance template and the values of said second expanded reference template representing the probability of a binary zero occurring at said corresponding position of said utterance template; and means for expanding said bias template into a first expanded bias template and a second expanded bias template, the values of said first expanded bias template representing the probability of a binary one occurring in the corresponding position of any said utterance template and the values of said second expanded bias template representing the probability of a binary zero occurring at said corresponding position of any said utterance template. | 0.5 |
8,612,926 | 9 | 13 | 9. A method for computer software development and storage, comprising: facilitating the viewing of and commenting on requirement specifications for software designs by developers using a requirements design subsystem thereby identifying requirements for new or improved software to be developed; conducting a software design competition using the software design requirements generated with the requirements design subsystem; conducting a development competition for development of software implementing a winning submission to the software design competition, the software comprising a functional software module that is reusable as a building block of an application; and storing in a software catalog software that is a winning submission in the development competition, the software catalog comprising a repository for storing reusable software modules developed by conducting the competitions using the competition development subsystem and for providing a directory of information to potential purchasers and licensees about the reusable modules in the repository. | 9. A method for computer software development and storage, comprising: facilitating the viewing of and commenting on requirement specifications for software designs by developers using a requirements design subsystem thereby identifying requirements for new or improved software to be developed; conducting a software design competition using the software design requirements generated with the requirements design subsystem; conducting a development competition for development of software implementing a winning submission to the software design competition, the software comprising a functional software module that is reusable as a building block of an application; and storing in a software catalog software that is a winning submission in the development competition, the software catalog comprising a repository for storing reusable software modules developed by conducting the competitions using the competition development subsystem and for providing a directory of information to potential purchasers and licensees about the reusable modules in the repository. 13. The method of claim 9 , wherein the software comprises a portion of a software application. | 0.710366 |
9,852,205 | 10 | 11 | 10. A method comprising: generating, by a computing system including a computer processor, a graphical user interface including at least a representation of a plurality of dimensions of a multidimensional data set; receiving, via the graphical user interface, a selection of at least two dimensions of the multidimensional data set; determining, by the computing system, a plurality of data objects each corresponding to different combinations of values of the selected dimensions; generating, by the computing system, a plurality of two-dimensional graphs that are spatially positioned in a single graphical user interface view, wherein: each of the two-dimensional graphs is generated based on data associated with a respective one of the plurality of data objects, the x-axes of the two-dimensional graphs each have a first common scale and a first common interval, the y-axes of the two-dimensional graphs each have a second common scale and a second common interval, and data represented in each respective two-dimensional graph is shown according to the first common scale and the first common interval of the x-axes and the second common scale and the second common interval of the y-axes; and updating the graphical user interface to display the single graphical user interface view including the plurality of two-dimensional graphs, wherein: the plurality of two-dimensional graphs are displayed in a plurality of rows and columns, each combination of row and column corresponds to a different respective combination of values of the selected dimensions, and the plurality of two-dimensional graphs are spatially positioned in the single graphical user interface view in corresponding rows and columns to enable a user to directly compare data represented in the plurality of two-dimensional graphs to view differences in data across the selected dimensions. | 10. A method comprising: generating, by a computing system including a computer processor, a graphical user interface including at least a representation of a plurality of dimensions of a multidimensional data set; receiving, via the graphical user interface, a selection of at least two dimensions of the multidimensional data set; determining, by the computing system, a plurality of data objects each corresponding to different combinations of values of the selected dimensions; generating, by the computing system, a plurality of two-dimensional graphs that are spatially positioned in a single graphical user interface view, wherein: each of the two-dimensional graphs is generated based on data associated with a respective one of the plurality of data objects, the x-axes of the two-dimensional graphs each have a first common scale and a first common interval, the y-axes of the two-dimensional graphs each have a second common scale and a second common interval, and data represented in each respective two-dimensional graph is shown according to the first common scale and the first common interval of the x-axes and the second common scale and the second common interval of the y-axes; and updating the graphical user interface to display the single graphical user interface view including the plurality of two-dimensional graphs, wherein: the plurality of two-dimensional graphs are displayed in a plurality of rows and columns, each combination of row and column corresponds to a different respective combination of values of the selected dimensions, and the plurality of two-dimensional graphs are spatially positioned in the single graphical user interface view in corresponding rows and columns to enable a user to directly compare data represented in the plurality of two-dimensional graphs to view differences in data across the selected dimensions. 11. The method of claim 10 further comprising: receiving, via the graphical user interface, an indication of a new interval; re-generating, by the computing system, the plurality of two-dimensional graphs such that at least one of the first common interval or the second common interval corresponds to the new interval; and updating the graphical user interface to display the single graphical user interface view including the re-generated two-dimensional graphs. | 0.5 |
9,195,399 | 1 | 5 | 1. A computer-implemented system for identifying relevant documents for display, comprising: themes for a set of documents; an extraction module to extract noun phrases from the documents as concepts; a theme generator to group two or more of the concepts as one such theme; a frequency table that identifies each of the concepts and a frequency of occurrence of each concept within each of the documents in the set; a graph generator to generate a graph of the concepts, comprising: an x-axis of the graph defining the concepts; a y-axis of the graph defining a number of the documents that reference each concept; and a mapping module to map the concepts on the graph in order of descending number of referring documents; a cluster module to cluster the documents based on the themes; a matrix for the documents comprising an inner product of document frequency occurrences and cluster concept weightings for each theme; an identification module to identify from the matrix, documents most relevant to a particular theme; and a display to present the relevant documents. | 1. A computer-implemented system for identifying relevant documents for display, comprising: themes for a set of documents; an extraction module to extract noun phrases from the documents as concepts; a theme generator to group two or more of the concepts as one such theme; a frequency table that identifies each of the concepts and a frequency of occurrence of each concept within each of the documents in the set; a graph generator to generate a graph of the concepts, comprising: an x-axis of the graph defining the concepts; a y-axis of the graph defining a number of the documents that reference each concept; and a mapping module to map the concepts on the graph in order of descending number of referring documents; a cluster module to cluster the documents based on the themes; a matrix for the documents comprising an inner product of document frequency occurrences and cluster concept weightings for each theme; an identification module to identify from the matrix, documents most relevant to a particular theme; and a display to present the relevant documents. 5. A system according to claim 1 , further comprising: a cluster mapping module to map one such document to one of the clusters based on a similarity of the document to the documents in the cluster, wherein the distance is quantified by a distance. | 0.694581 |
10,103,890 | 7 | 8 | 7. The method of claim 6 , wherein the extracted representative pattern is not of a predetermined length but is of an arbitrary length. | 7. The method of claim 6 , wherein the extracted representative pattern is not of a predetermined length but is of an arbitrary length. 8. The method of claim 7 , wherein a representative pattern of a predetermined length from the initial executable file is acquired by applying a hash function to the extracted representative pattern of arbitrary length. | 0.5 |
9,723,303 | 12 | 18 | 12. A method for generating a test pattern, the method comprising: accepting input from a text definition file that contains a series of attributes of a particular test pattern to be generated, the series of attributes of the particular test pattern including one or more segment description statements; retrieving the series of attributes from the text definition file and populating a first memory with segment description codes describing segments of the particular test pattern based on the retrieved segment description statements; and producing an output of a series of portions of the particular test pattern by, for each of the portions, inserting data into the output that is derived from one or more segment description codes. | 12. A method for generating a test pattern, the method comprising: accepting input from a text definition file that contains a series of attributes of a particular test pattern to be generated, the series of attributes of the particular test pattern including one or more segment description statements; retrieving the series of attributes from the text definition file and populating a first memory with segment description codes describing segments of the particular test pattern based on the retrieved segment description statements; and producing an output of a series of portions of the particular test pattern by, for each of the portions, inserting data into the output that is derived from one or more segment description codes. 18. The method for generating test patterns according to claim 12 , further comprising: receiving an input for selecting the particular test pattern to produce out of a plurality of possible test patterns to produce. | 0.688761 |
9,348,417 | 1 | 8 | 1. In a computing environment, a method performed at least in part on at least one processor, the method comprising: receiving sets of input data corresponding to a plurality of input modalities, the received sets of input data including a first set of input data and a second set of input data, the first set of input data being associated with a first input modality from the plurality of input modalities, the second set of input data being associated with a second input modality from the plurality of input modalities; selecting the first set of input data and the second set of input data based on one or more of the following: user defined preferences, and a current operating mode of a program; accessing a dictionary to determine a combined meaning of the first and second set of input data; receiving environmental input from one or more sensors; and providing output data for input by the program, the output data corresponding to the combined meaning of the first and second set of input data and the environmental input. | 1. In a computing environment, a method performed at least in part on at least one processor, the method comprising: receiving sets of input data corresponding to a plurality of input modalities, the received sets of input data including a first set of input data and a second set of input data, the first set of input data being associated with a first input modality from the plurality of input modalities, the second set of input data being associated with a second input modality from the plurality of input modalities; selecting the first set of input data and the second set of input data based on one or more of the following: user defined preferences, and a current operating mode of a program; accessing a dictionary to determine a combined meaning of the first and second set of input data; receiving environmental input from one or more sensors; and providing output data for input by the program, the output data corresponding to the combined meaning of the first and second set of input data and the environmental input. 8. The method of claim 1 , wherein the dictionary is associated with the first input modality and the second input modality. | 0.716895 |
10,078,411 | 1 | 7 | 1. A computer program product comprising one or more computer-readable physical storage media having stored thereon computer-executable instructions that are executable by one or more processors of a computing system to cause the computing system to perform a method for supporting an organization mode in which a plurality of user interface elements may be organized within a user interface, the method comprising: an act of displaying a canvas on the user interface, the canvas being subdivided into at least an extendable start board portion and a constituent element portion, the extendable start board portion being displayed simultaneously with the constituent element portion on the canvas, wherein: upon selection of any one user interface element in the extendable start board portion, the constituent element portion is updated to include a group of user interface elements that each corresponds to the selected any one user interface element, a size of the constituent element portion is dependent on a size of the extendable start board portion such that as the size of the extendable start board portion increases, the size of the constituent element portion decreases in response, and when the size of the constituent element portion decreases, an appearance of at least some elements in the group of user interface elements included in the constituent element portion is progressively cutoff to coincide with the decreasing size of the constituent element portion; an act of displaying a plurality of user interface elements on the extendable start board portion of the canvas so as to conform to a grid pattern having a plurality of grid positions on the extendable start board portion, each of the plurality of user interface elements occupying one or more of the grid positions of the plurality of grid positions and having boundaries corresponding to boundaries between grid positions; an act of detecting a user instruction representing an intent to organize one or more of the plurality of user interface elements on the canvas, the user interface entering the organization mode after the user instruction is received; an act of causing an appearance of at least some remaining user interface elements in the plurality to change such that the appearances are deemphasized, the at least some remaining user interface elements being elements that were not associated with the user instruction; an act of causing at least some of the plurality of grid positions to be displayed in response to the act of detecting the user instruction; and while in the organization mode and in response to selecting a particular user interface element, an act of causing a contextual actions menu to appear for the particular user interface element, the contextual actions menu displaying a subset of available commands, the displayed subset of available commands being commands that have been previously identified as being commonly used by a user while the user interacts with the user interface in the organization mode, the contextual actions menu being displayed simultaneously with the particular user interface element. | 1. A computer program product comprising one or more computer-readable physical storage media having stored thereon computer-executable instructions that are executable by one or more processors of a computing system to cause the computing system to perform a method for supporting an organization mode in which a plurality of user interface elements may be organized within a user interface, the method comprising: an act of displaying a canvas on the user interface, the canvas being subdivided into at least an extendable start board portion and a constituent element portion, the extendable start board portion being displayed simultaneously with the constituent element portion on the canvas, wherein: upon selection of any one user interface element in the extendable start board portion, the constituent element portion is updated to include a group of user interface elements that each corresponds to the selected any one user interface element, a size of the constituent element portion is dependent on a size of the extendable start board portion such that as the size of the extendable start board portion increases, the size of the constituent element portion decreases in response, and when the size of the constituent element portion decreases, an appearance of at least some elements in the group of user interface elements included in the constituent element portion is progressively cutoff to coincide with the decreasing size of the constituent element portion; an act of displaying a plurality of user interface elements on the extendable start board portion of the canvas so as to conform to a grid pattern having a plurality of grid positions on the extendable start board portion, each of the plurality of user interface elements occupying one or more of the grid positions of the plurality of grid positions and having boundaries corresponding to boundaries between grid positions; an act of detecting a user instruction representing an intent to organize one or more of the plurality of user interface elements on the canvas, the user interface entering the organization mode after the user instruction is received; an act of causing an appearance of at least some remaining user interface elements in the plurality to change such that the appearances are deemphasized, the at least some remaining user interface elements being elements that were not associated with the user instruction; an act of causing at least some of the plurality of grid positions to be displayed in response to the act of detecting the user instruction; and while in the organization mode and in response to selecting a particular user interface element, an act of causing a contextual actions menu to appear for the particular user interface element, the contextual actions menu displaying a subset of available commands, the displayed subset of available commands being commands that have been previously identified as being commonly used by a user while the user interacts with the user interface in the organization mode, the contextual actions menu being displayed simultaneously with the particular user interface element. 7. The computer program product in accordance with claim 1 , the act of detecting a user instruction comprising: an act of detecting a user instruction to resize the one or more of the plurality of user interface elements on the canvas. | 0.559701 |
9,626,081 | 20 | 22 | 20. The computer program product of claim 19 , further comprising computer program instructions that when executed by the computer cause the computer to implement: including a desired industry code in combination with the suggestion request based on determining that the requested search type is an industry search, wherein the data set is filtered by the desired industry code. | 20. The computer program product of claim 19 , further comprising computer program instructions that when executed by the computer cause the computer to implement: including a desired industry code in combination with the suggestion request based on determining that the requested search type is an industry search, wherein the data set is filtered by the desired industry code. 22. The computer program product of claim 20 , further comprising computer program instructions that when executed by the computer cause the computer to implement: providing a list of industries based on determining that the requested search type is the industry search; mapping the list of industries to industry codes; and setting the desired industry code from the industry codes based on identifying a selection from the list of industries. | 0.6179 |
9,740,713 | 15 | 20 | 15. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for processing data, the method comprising: executing an application that accesses a data model including one or more tables, wherein the one or more tables comprise a set of scalar fields and a derived field associated with at least one of a summary, a formula, and a lookup, and wherein the derived field comprises identifying information of at least one related field or table in the data model or in a relational database; storing the scalar fields in the relational database; using the data model to generate a first query for the relational database to obtain data associated with the derived field using one or more joins of one or more of the scalar fields based at least in part on the identifying information; and enabling use of the first query to provide the data to a user during use of the application by the user. | 15. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for processing data, the method comprising: executing an application that accesses a data model including one or more tables, wherein the one or more tables comprise a set of scalar fields and a derived field associated with at least one of a summary, a formula, and a lookup, and wherein the derived field comprises identifying information of at least one related field or table in the data model or in a relational database; storing the scalar fields in the relational database; using the data model to generate a first query for the relational database to obtain data associated with the derived field using one or more joins of one or more of the scalar fields based at least in part on the identifying information; and enabling use of the first query to provide the data to a user during use of the application by the user. 20. The non-transitory computer-readable storage medium of claim 15 , wherein the derived field is associated with at least one of a summary, a formula, and a lookup. | 0.786632 |
8,527,258 | 1 | 8 | 1. A simultaneous interpretation system, comprising: a plurality of headsets for inputting and outputting voice speech signals; and a portable terminal configured for receiving output from the first headset of an original language voice speech signal to be interpreted/translated, and for outputting to the second headset an interpreted language voice speech signal in a first translated language based on the original language voice speech signal, wherein the portable terminal is configured to operate a short range wireless communication to communicate with headsets of a respective speaker and a listener of the plurality of headsets in which the portable terminal translates between a plurality of pre-designated languages, and wirelessly communicates with an interpretation server for translation between languages other than the plurality of pre-designated languages. | 1. A simultaneous interpretation system, comprising: a plurality of headsets for inputting and outputting voice speech signals; and a portable terminal configured for receiving output from the first headset of an original language voice speech signal to be interpreted/translated, and for outputting to the second headset an interpreted language voice speech signal in a first translated language based on the original language voice speech signal, wherein the portable terminal is configured to operate a short range wireless communication to communicate with headsets of a respective speaker and a listener of the plurality of headsets in which the portable terminal translates between a plurality of pre-designated languages, and wirelessly communicates with an interpretation server for translation between languages other than the plurality of pre-designated languages. 8. The simultaneous interpretation system of claim 1 , where the original language and the interpreted language are dialects of a common language. | 0.84728 |
8,185,529 | 9 | 10 | 9. A machine-readable storage medium storing instructions to cause a machine to perform a machine-implemented method comprising: receiving text input within an integrated search field of a web browser application; determining, based on characteristics of the text input, whether the text input triggers an automatic submission of a query to a search engine; determining, based on characteristics of the text input, whether to delay the trigger for automatic submission; automatically submitting the query to the search engine, the query based on the received text input; displaying, within the web browser application, a web page returned from the search engine based on the query, wherein the returned web page includes results returned from the query submitted to the search engine; automatically maintaining a focus within the integrated search field after the returned web page is displayed by preventing the returned web page from controlling the focus, the focus designating where the text input is directed; receiving a selection of a first result from the returned web page, the first result associated with a first uniform resource locator (URL); displaying a first web page associated with the first URL; preventing the first web page from controlling the focus; and permitting the first web page to control the focus if no additional input is received within the search field within a predetermined period of time. | 9. A machine-readable storage medium storing instructions to cause a machine to perform a machine-implemented method comprising: receiving text input within an integrated search field of a web browser application; determining, based on characteristics of the text input, whether the text input triggers an automatic submission of a query to a search engine; determining, based on characteristics of the text input, whether to delay the trigger for automatic submission; automatically submitting the query to the search engine, the query based on the received text input; displaying, within the web browser application, a web page returned from the search engine based on the query, wherein the returned web page includes results returned from the query submitted to the search engine; automatically maintaining a focus within the integrated search field after the returned web page is displayed by preventing the returned web page from controlling the focus, the focus designating where the text input is directed; receiving a selection of a first result from the returned web page, the first result associated with a first uniform resource locator (URL); displaying a first web page associated with the first URL; preventing the first web page from controlling the focus; and permitting the first web page to control the focus if no additional input is received within the search field within a predetermined period of time. 10. The machine-readable storage medium of claim 9 , wherein the returned web page includes a text input field. | 0.725248 |
8,793,121 | 10 | 12 | 10. The information processing apparatus according to claim 9 , wherein: said score calculation unit further includes, as the group of functions for performing said recursive calculation, a second-type function of associating a substructure between a second node of interest and a parent node in said query pattern with a second range in said sentence, recursively calling, for each attempt position separating descendants of a parent-side end child node and a sibling node of said second node of interest, said first-type function in an opposite direction for a range on the side opposite to said parent with the attempt position of said second range as a boundary and recursively calling said first-type function in the forward direction for a parent-side range to output a partial score for all the attempt positions; and said first-type function recursively calls said forward-direction first-type function as well as recursively calling said second-type function in a forward direction for the parent-side range with the attempt position of said first range as a boundary. | 10. The information processing apparatus according to claim 9 , wherein: said score calculation unit further includes, as the group of functions for performing said recursive calculation, a second-type function of associating a substructure between a second node of interest and a parent node in said query pattern with a second range in said sentence, recursively calling, for each attempt position separating descendants of a parent-side end child node and a sibling node of said second node of interest, said first-type function in an opposite direction for a range on the side opposite to said parent with the attempt position of said second range as a boundary and recursively calling said first-type function in the forward direction for a parent-side range to output a partial score for all the attempt positions; and said first-type function recursively calls said forward-direction first-type function as well as recursively calling said second-type function in a forward direction for the parent-side range with the attempt position of said first range as a boundary. 12. The information processing apparatus according to claim 10 , wherein: said score calculation unit further includes, as the group of functions for performing said recursive calculation, a third-type function of associating a substructure between an end of descendants of a parent node of a third node of interest and said parent node in said query pattern with a third range in said sentence, recursively calling, for each attempt position separating an end of descendants on the side opposite to the parent of said third node of interest, said forward-direction first-type function for a parent-side range with the attempt position of said third range as a boundary to output a partial score for all the attempt positions; and said first-type function recursively calls, for each attempt position in the case where said first node of interest does not match, said third-type function in a forward direction for said parent-side range with the attempt position of said first range as a boundary. | 0.5 |
8,731,901 | 10 | 17 | 10. A method, executed within one or more computer processors, of transforming content of an electronic document from a non-Romanized native language to a Romanized language the method comprising: identifying within the native language document one or more references, in the native language, to entities having Romanized language names; generating a preprocessed version of the native language document in which the identified references to entities having Romanized language names are replaced by the Romanized language names and corresponding tags that specify the Romanized language names as named entities; and translating the preprocessed version of the native language document into Romanized-language output document, maintaining the Romanized language names in the output document and applying the Romanized language names and corresponding tags as context for disambiguating remaining native language expressions in the preprocessed version of the native language document. | 10. A method, executed within one or more computer processors, of transforming content of an electronic document from a non-Romanized native language to a Romanized language the method comprising: identifying within the native language document one or more references, in the native language, to entities having Romanized language names; generating a preprocessed version of the native language document in which the identified references to entities having Romanized language names are replaced by the Romanized language names and corresponding tags that specify the Romanized language names as named entities; and translating the preprocessed version of the native language document into Romanized-language output document, maintaining the Romanized language names in the output document and applying the Romanized language names and corresponding tags as context for disambiguating remaining native language expressions in the preprocessed version of the native language document. 17. The method of claim 10 wherein the tags that specify the Romanized language names as named entities include information indicating an entity type. | 0.863884 |
7,580,839 | 1 | 2 | 1. A speech processing apparatus comprising: a speech storage configured to store a plurality of speech units of a conversion-source speaker and source-speaker attribute information corresponding to the speech units; a speech-unit extractor configured to divide the speech of a conversion-target speaker into a predetermined type of a speech unit to form target-speaker speech units; an attribute-information generator configured to generate target-speaker attribute information corresponding to the target-speaker speech units from the speech of the conversion-target speaker or linguistic information of the speech; a speech-unit selector configured to calculate costs on the target-speaker attribute information and the source-speaker attribute information using cost functions, and selects one or a plurality of speech units with the same phoneme from the speech storage according to the costs to form a source-speaker speech unit; and a voice-conversion-rule generator configured to generate speech conversion functions for converting the one or the plurality of source-speaker speech units to the target-speaker speech units based on the target-speaker speech units and the one or the plurality of source-speakerspeech units. | 1. A speech processing apparatus comprising: a speech storage configured to store a plurality of speech units of a conversion-source speaker and source-speaker attribute information corresponding to the speech units; a speech-unit extractor configured to divide the speech of a conversion-target speaker into a predetermined type of a speech unit to form target-speaker speech units; an attribute-information generator configured to generate target-speaker attribute information corresponding to the target-speaker speech units from the speech of the conversion-target speaker or linguistic information of the speech; a speech-unit selector configured to calculate costs on the target-speaker attribute information and the source-speaker attribute information using cost functions, and selects one or a plurality of speech units with the same phoneme from the speech storage according to the costs to form a source-speaker speech unit; and a voice-conversion-rule generator configured to generate speech conversion functions for converting the one or the plurality of source-speaker speech units to the target-speaker speech units based on the target-speaker speech units and the one or the plurality of source-speakerspeech units. 2. The apparatus according to claim 1 , wherein the speech-unit selector selects a speech unit corresponding to source-speaker attribute information in which the cost of the cost functions is the minimum from the speech storage into the source-speaker speech unit. | 0.851685 |
8,423,350 | 17 | 20 | 17. A computer-implemented method, comprising: receiving, at a computer system including a processor, a training data including a plurality of n-grams, wherein each of the plurality of n-grams includes one or more words; filtering, at the computer system, the training data by removing stop-words to obtain a modified training data; generating, at the computer system, a first data structure using the modified training data, the data structure including one or more sets of n-grams, each having one or more subsets of n-grams, wherein the data structure further includes, for each specific n-gram: (i) a stem of the n-gram, (ii) grammar information for the specific n-gram, (iii) language information for the specific n-gram, and (iv) description information for the specific n-gram; indexing, at the computer system, the first data structure according to the stems of the n-grams to obtain a searchable data structure; receiving, at the computer system, a first n-gram and a request to search the searchable data structure using the first n-gram; searching, at the computer system, the searchable data structure to obtain one or more second n-grams related to the first n-gram; and outputting, at the computer system, the one or more second n-grams. | 17. A computer-implemented method, comprising: receiving, at a computer system including a processor, a training data including a plurality of n-grams, wherein each of the plurality of n-grams includes one or more words; filtering, at the computer system, the training data by removing stop-words to obtain a modified training data; generating, at the computer system, a first data structure using the modified training data, the data structure including one or more sets of n-grams, each having one or more subsets of n-grams, wherein the data structure further includes, for each specific n-gram: (i) a stem of the n-gram, (ii) grammar information for the specific n-gram, (iii) language information for the specific n-gram, and (iv) description information for the specific n-gram; indexing, at the computer system, the first data structure according to the stems of the n-grams to obtain a searchable data structure; receiving, at the computer system, a first n-gram and a request to search the searchable data structure using the first n-gram; searching, at the computer system, the searchable data structure to obtain one or more second n-grams related to the first n-gram; and outputting, at the computer system, the one or more second n-grams. 20. The computer-implemented method of claim 17 , wherein the grammar information includes information for distinguishing between different lexical categories that the specific n-gram belongs to, wherein the language information includes information indicative of a language of the specific n-gram, and wherein the description information includes at least one of (i) user-generated information describing the specific n-gram and (ii) information generated by the computer system that describes the specific n-gram. | 0.5 |
8,229,905 | 27 | 30 | 27. A non-transitory computer-readable storage medium for using a first token to operate a document management system, the non-transitory computer-readable storage medium storing computer program modules configured to execute on a computer processor, the computer program modules comprising: a generation module to print the first token as a physical representation of a case file on a printed medium, the first token including a visual representation of the case file, the visual representation comprising: a case identifier of the case file; an action field including a data entry field for receiving markings from a user for updating a record in the document management system corresponding to the case file, the markings including a plurality of boxes indicating predetermined actions, user notes to correct the record or prognoses; an index comprising a listing of a first plurality of documents associated with the case file, a first plurality of links to electronic versions of the first plurality of documents in the listing, and a plurality of textual summaries corresponding to the first plurality of documents in the listing, the index divided into a plurality of groups corresponding to a plurality of categories of the plurality of documents in the listing; a plurality of thumbnail images of one or more of the first plurality of documents associated with the case file; a summary of a portion of the first plurality of documents associated with the case file and information specified by the user; and a plurality of related tokens for a plurality of related cases indicating a status of the plurality of related cases and a second plurality of links to electronic versions of a second plurality of documents corresponding to the plurality of related cases; an identification module to receive a selection of one of the first plurality of links included in token; and a retrieval module coupled to the identification module to retrieve an electronic version of the one of the first plurality of documents associated with the selected link. | 27. A non-transitory computer-readable storage medium for using a first token to operate a document management system, the non-transitory computer-readable storage medium storing computer program modules configured to execute on a computer processor, the computer program modules comprising: a generation module to print the first token as a physical representation of a case file on a printed medium, the first token including a visual representation of the case file, the visual representation comprising: a case identifier of the case file; an action field including a data entry field for receiving markings from a user for updating a record in the document management system corresponding to the case file, the markings including a plurality of boxes indicating predetermined actions, user notes to correct the record or prognoses; an index comprising a listing of a first plurality of documents associated with the case file, a first plurality of links to electronic versions of the first plurality of documents in the listing, and a plurality of textual summaries corresponding to the first plurality of documents in the listing, the index divided into a plurality of groups corresponding to a plurality of categories of the plurality of documents in the listing; a plurality of thumbnail images of one or more of the first plurality of documents associated with the case file; a summary of a portion of the first plurality of documents associated with the case file and information specified by the user; and a plurality of related tokens for a plurality of related cases indicating a status of the plurality of related cases and a second plurality of links to electronic versions of a second plurality of documents corresponding to the plurality of related cases; an identification module to receive a selection of one of the first plurality of links included in token; and a retrieval module coupled to the identification module to retrieve an electronic version of the one of the first plurality of documents associated with the selected link. 30. The non-transitory computer-readable storage medium of claim 27 further comprising a browsing module coupled to the retrieval module to list a third plurality of documents associated with the case, the browsing module also coupled to provide information to a display device. | 0.760757 |
9,569,213 | 1 | 5 | 1. A non-transitory computer storage medium storing computer-useable instructions that, when used by at least one computing device, cause the at least one computing device to perform operations comprising: receiving an abstraction of an asset associated with an asset-modifying workflow; determining a contextual identifier based on the received abstraction of the asset; determining a modification to the asset-modifying workflow based on the determined contextual identifier; and communicating a signal operable to apply the determined modification to the asset-modifying workflow. | 1. A non-transitory computer storage medium storing computer-useable instructions that, when used by at least one computing device, cause the at least one computing device to perform operations comprising: receiving an abstraction of an asset associated with an asset-modifying workflow; determining a contextual identifier based on the received abstraction of the asset; determining a modification to the asset-modifying workflow based on the determined contextual identifier; and communicating a signal operable to apply the determined modification to the asset-modifying workflow. 5. The medium of claim 1 , wherein the asset is at least a portion of one of an image, a set of at least one image layer, or a frame of a video. | 0.903485 |
9,830,563 | 1 | 10 | 1. A method for managing legal obligations for data associated with a matter, comprising: determining, by at least one processor, at least one legal obligation with respect to the matter based at least in part on utilizing an enterprise map that comprises relationships between objects that represent data in an enterprise; generating, by the at least one processor, a workflow for performing the at least one legal obligation, the workflow providing instructions to personnel responsible for data management of one or more affected systems containing the data associated with the matter, the instructions being provided in a context of actions to be performed on the one or more affected systems; performing, by a conflicts module executing on the at least one processor a conflicts check of legal obligations across all matters to determine one or more conflicts in legal obligations for the personnel; in response to receiving, by the at least one processor, a criteria that specifies at least one of: an affected system of interest and a matter of interest: determining, by a cross-check module executing on the at least one processor, matters associated with the criteria and performing, by the cross-check module executing on the at least one processor, a cross-check of correlations between legal obligations across the matters associated with the criteria to determine an overlap between a first legal obligation and a second legal obligation for the personnel for a matter in the matters associated with the criteria; providing, by a portal module executing on the at least one processor, the instructions to the personnel via an information portal which provides a visual interface that displays in a single location all legal obligations to be performed by the personnel including the at least one legal obligation, all workflows for the personnel including the workflow, an indication of the one or more conflicts in legal obligations for the personnel, an indication of the overlap between a first legal obligation and a second legal obligation for the personnel for the matter and one or more retention schedules for the one or more affected systems in a single location for the personnel, wherein the indication of the overlap between the first legal obligation and a second legal obligation for the personnel for the matter includes an indication that the first legal obligation remains in effect for the personnel for the matter after removal of the second legal obligation; and providing, by the information portal executing on the at least one processor, an ability for the personnel to reroute conflicted legal obligations indicated by the information portal for review. | 1. A method for managing legal obligations for data associated with a matter, comprising: determining, by at least one processor, at least one legal obligation with respect to the matter based at least in part on utilizing an enterprise map that comprises relationships between objects that represent data in an enterprise; generating, by the at least one processor, a workflow for performing the at least one legal obligation, the workflow providing instructions to personnel responsible for data management of one or more affected systems containing the data associated with the matter, the instructions being provided in a context of actions to be performed on the one or more affected systems; performing, by a conflicts module executing on the at least one processor a conflicts check of legal obligations across all matters to determine one or more conflicts in legal obligations for the personnel; in response to receiving, by the at least one processor, a criteria that specifies at least one of: an affected system of interest and a matter of interest: determining, by a cross-check module executing on the at least one processor, matters associated with the criteria and performing, by the cross-check module executing on the at least one processor, a cross-check of correlations between legal obligations across the matters associated with the criteria to determine an overlap between a first legal obligation and a second legal obligation for the personnel for a matter in the matters associated with the criteria; providing, by a portal module executing on the at least one processor, the instructions to the personnel via an information portal which provides a visual interface that displays in a single location all legal obligations to be performed by the personnel including the at least one legal obligation, all workflows for the personnel including the workflow, an indication of the one or more conflicts in legal obligations for the personnel, an indication of the overlap between a first legal obligation and a second legal obligation for the personnel for the matter and one or more retention schedules for the one or more affected systems in a single location for the personnel, wherein the indication of the overlap between the first legal obligation and a second legal obligation for the personnel for the matter includes an indication that the first legal obligation remains in effect for the personnel for the matter after removal of the second legal obligation; and providing, by the information portal executing on the at least one processor, an ability for the personnel to reroute conflicted legal obligations indicated by the information portal for review. 10. The method of claim 1 wherein generating the workflow comprises generating, by the at least one processor, instructions associated with privacy laws for the personnel responsible for data management in terms of the affected systems managed by the personnel. | 0.51487 |
8,732,160 | 11 | 13 | 11. A system, comprising at least one processor to execute and memory to store instructions to: receive the data set and a query template, the data set comprising a plurality of attributes for a plurality of web pages; organize the query template based on a number of seeks of the data set needed to fetch data associated with the query template, the organizing comprising identifying a plurality of dense attributes from the plurality of attributes, each dense attribute having a selectivity exceeding a maximum query selectivity threshold; build an index for the query template after the query template is organized, the index is organized into a plurality of sections based on a number of seeks of the data set needed to fetch data associated with the query template, the plurality of sections comprising a plurality of primary sections and a plurality of secondary sections, each dense attribute of the plurality having a corresponding primary section and each secondary section having a corresponding dense attribute that is denser than one or more other dense attributes of the plurality; receive one or more bindings for the query template, the bindings comprising query restrictions; compute an answer to the query template by using the index and the bindings; and precompute answers for one or more future queries that a user may submit to explore the data set, wherein the future queries comprise query terms of the query template and at least one additional query term. | 11. A system, comprising at least one processor to execute and memory to store instructions to: receive the data set and a query template, the data set comprising a plurality of attributes for a plurality of web pages; organize the query template based on a number of seeks of the data set needed to fetch data associated with the query template, the organizing comprising identifying a plurality of dense attributes from the plurality of attributes, each dense attribute having a selectivity exceeding a maximum query selectivity threshold; build an index for the query template after the query template is organized, the index is organized into a plurality of sections based on a number of seeks of the data set needed to fetch data associated with the query template, the plurality of sections comprising a plurality of primary sections and a plurality of secondary sections, each dense attribute of the plurality having a corresponding primary section and each secondary section having a corresponding dense attribute that is denser than one or more other dense attributes of the plurality; receive one or more bindings for the query template, the bindings comprising query restrictions; compute an answer to the query template by using the index and the bindings; and precompute answers for one or more future queries that a user may submit to explore the data set, wherein the future queries comprise query terms of the query template and at least one additional query term. 13. The system of claim 11 , the instructions further comprising instructions to semi-cluster the data set according to the query template. | 0.777244 |
9,626,969 | 7 | 13 | 7. A method of replacing a word in a transcription of an audio recording, wherein the method is performed by a mobile device in communication with a server, wherein computational resources of the server are greater than computational resources of the mobile device, the method comprising: maintaining a personal vocabulary of words on the mobile device associated with a user of the mobile device, wherein the personal vocabulary is based on personal data associated with the user and includes an acoustic model associated with the user of the mobile device; receiving, from the server, a first transcription of an audio recording, wherein the first transcription data is generated by a server automatic speech recognition (ASR) engine at the server using an ASR vocabulary associated with a population of users that does not include the personal vocabulary of the user of the mobile device, wherein the first transcription includes confidence scores associated with certain words in the transcription; receiving, from the server, audio data corresponding to the first transcription; identifying, at the mobile device, a replaceable word from the first transcription; generating a second transcription of a portion of the received audio data corresponding to the replaceable word, wherein the second transcription includes phonetic data, and wherein the second transcription is generated by a mobile device ASR engine on the mobile device using the maintained personal vocabulary and an acoustic model associated with the user of the mobile device; and identifying a replacement word for the replaceable word, wherein the replacement word is identified based on a comparison between the phonetic data of the second transcription and the personal vocabulary, and wherein the replacement word is from the personal vocabulary; identifying, at the mobile device, a non-replaceable word from the first transcription partially based on the maintained personal vocabulary; producing a modified confidence score associated with the portion of the received first transcript based at least in part on the comparison; and generating a final transcription using the modified confidence score and the non-replaceable word, wherein the replacement word appears in the final transcription in place of at least one word from the first transcription, and wherein the non-replaceable word appears in the final transcription. | 7. A method of replacing a word in a transcription of an audio recording, wherein the method is performed by a mobile device in communication with a server, wherein computational resources of the server are greater than computational resources of the mobile device, the method comprising: maintaining a personal vocabulary of words on the mobile device associated with a user of the mobile device, wherein the personal vocabulary is based on personal data associated with the user and includes an acoustic model associated with the user of the mobile device; receiving, from the server, a first transcription of an audio recording, wherein the first transcription data is generated by a server automatic speech recognition (ASR) engine at the server using an ASR vocabulary associated with a population of users that does not include the personal vocabulary of the user of the mobile device, wherein the first transcription includes confidence scores associated with certain words in the transcription; receiving, from the server, audio data corresponding to the first transcription; identifying, at the mobile device, a replaceable word from the first transcription; generating a second transcription of a portion of the received audio data corresponding to the replaceable word, wherein the second transcription includes phonetic data, and wherein the second transcription is generated by a mobile device ASR engine on the mobile device using the maintained personal vocabulary and an acoustic model associated with the user of the mobile device; and identifying a replacement word for the replaceable word, wherein the replacement word is identified based on a comparison between the phonetic data of the second transcription and the personal vocabulary, and wherein the replacement word is from the personal vocabulary; identifying, at the mobile device, a non-replaceable word from the first transcription partially based on the maintained personal vocabulary; producing a modified confidence score associated with the portion of the received first transcript based at least in part on the comparison; and generating a final transcription using the modified confidence score and the non-replaceable word, wherein the replacement word appears in the final transcription in place of at least one word from the first transcription, and wherein the non-replaceable word appears in the final transcription. 13. The method of claim 7 , wherein a confidence score associated with the replacement word is greater than a confidence score associated with the replaceable word. | 0.716263 |
6,097,442 | 10 | 16 | 10. A method for reformatting closed caption text containing a sequence of closed caption characters comprising the steps of: identifying each control code within the sequence of closed caption characters; inspecting each control code and each closed caption character to identify a new caption or a new speaker; and inserting a carriage return prior to the new caption or new speaker. | 10. A method for reformatting closed caption text containing a sequence of closed caption characters comprising the steps of: identifying each control code within the sequence of closed caption characters; inspecting each control code and each closed caption character to identify a new caption or a new speaker; and inserting a carriage return prior to the new caption or new speaker. 16. The method of claim 10 further comprising the step of removing redundant spaces from said sequence of closed caption characters. | 0.84058 |
7,986,843 | 11 | 12 | 11. The system of claim 10 , wherein the one or more computers comprise a first back-end component and a second back-end component, the first back-end component configured to receive the digital images, validate the mobile devices and apply the optical character recognition, and the second back-end component configured to index the digital images and store the digital images. | 11. The system of claim 10 , wherein the one or more computers comprise a first back-end component and a second back-end component, the first back-end component configured to receive the digital images, validate the mobile devices and apply the optical character recognition, and the second back-end component configured to index the digital images and store the digital images. 12. The system of claim 11 , wherein the second back-end component comprises an electronic mail system. | 0.5 |
9,377,984 | 1 | 2 | 1. An information processing method executed by an information processing apparatus, the information processing method comprising: displaying a preview screen; and selecting a storing function in accordance with an instruction input in the preview screen, wherein information of document data and a preview image of the document data are displayed in the preview screen, wherein if the storing function is selected, the information of the document data is displayed in the preview screen after printing for the document data, and if the storing function is not selected, the information of the document data is not displayed in the preview screen after printing for the document data, and wherein if first information of first document data for which print processing has already been performed or second information of second document data for which print processing is to be newly performed is selected in accordance with an instruction input via the preview screen and print setting information is changed, print setting information of document data corresponding to the selected information is changed and print setting information of document data corresponding to information not selected is not changed. | 1. An information processing method executed by an information processing apparatus, the information processing method comprising: displaying a preview screen; and selecting a storing function in accordance with an instruction input in the preview screen, wherein information of document data and a preview image of the document data are displayed in the preview screen, wherein if the storing function is selected, the information of the document data is displayed in the preview screen after printing for the document data, and if the storing function is not selected, the information of the document data is not displayed in the preview screen after printing for the document data, and wherein if first information of first document data for which print processing has already been performed or second information of second document data for which print processing is to be newly performed is selected in accordance with an instruction input via the preview screen and print setting information is changed, print setting information of document data corresponding to the selected information is changed and print setting information of document data corresponding to information not selected is not changed. 2. The information processing method according to claim 1 , wherein each of the first information and the second information indicates a document name. | 0.806905 |
9,152,672 | 19 | 20 | 19. A non-transitory computer readable medium comprising program instruction for execution on a general purpose computing device, wherein execution of the program instructions by one or more processors of a computer system configures the one or more processors to perform operations comprising: receive a query at a query layer running on a first computing device, the query specifying criteria that define a set of data retrieved from the time series data storage system and an analysis performed on the set of data; request from an index database indices associated with data blocks stored in a time series database needed to evaluate the query, the time series database comprising a control node and a plurality of data nodes; receive the indices back to the query layer; prepare a sub-query that produces appropriate data matching the criteria, the sub-query comprising the criteria and a logical operation performed on the data matching the criteria; forward the sub-query to an evaluator running on each of the plurality of data nodes that are identified in the returned indices as holding data corresponding to data blocks needed to evaluate the query; evaluate the criteria specified in the sub-query in each evaluator with respect to data blocks stored on the same computing device on which the evaluator is running in order to select a subset of data; perform the logical operation specified in the sub-query in each evaluator on the subset of data generated in that evaluator in the evaluating step above to generate a sub-result; receive each sub-result from each evaluator at an output handler; and combine the sub-result from each evaluator into a query result. | 19. A non-transitory computer readable medium comprising program instruction for execution on a general purpose computing device, wherein execution of the program instructions by one or more processors of a computer system configures the one or more processors to perform operations comprising: receive a query at a query layer running on a first computing device, the query specifying criteria that define a set of data retrieved from the time series data storage system and an analysis performed on the set of data; request from an index database indices associated with data blocks stored in a time series database needed to evaluate the query, the time series database comprising a control node and a plurality of data nodes; receive the indices back to the query layer; prepare a sub-query that produces appropriate data matching the criteria, the sub-query comprising the criteria and a logical operation performed on the data matching the criteria; forward the sub-query to an evaluator running on each of the plurality of data nodes that are identified in the returned indices as holding data corresponding to data blocks needed to evaluate the query; evaluate the criteria specified in the sub-query in each evaluator with respect to data blocks stored on the same computing device on which the evaluator is running in order to select a subset of data; perform the logical operation specified in the sub-query in each evaluator on the subset of data generated in that evaluator in the evaluating step above to generate a sub-result; receive each sub-result from each evaluator at an output handler; and combine the sub-result from each evaluator into a query result. 20. The non-transitory computer readable medium of claim 19 wherein the query and index database is used to provide for authentication and authorization of requestors submitting queries. | 0.5 |
7,801,912 | 1 | 29 | 1. A system, comprising: one or more computer devices configured to implement a web services platform configured to provide a web service interface to a searchable data service, wherein the web services platform is configured to receive service requests from a plurality of client applications in accordance with the web service interface, wherein the service requests comprise query requests and storage requests, and wherein the web service interface provides a common message endpoint to the plurality of client applications to send the query requests and storage requests; and a plurality of computer devices configured to implement a plurality of nodes configured to participate in the searchable data service to: store searchable data service objects specified in received storage requests in respective searchable indexes for a plurality of independent data stores used by the client applications, wherein the searchable indexes are on the plurality of nodes, wherein the data stores are on one or more storage devices each on a network and separate from the one or more computer devices that implement the plurality of nodes configured to participate in the searchable data service, wherein each searchable index stores searchable data service objects for a particular one of the plurality of independent data stores such that each searchable index provides a complete index for only one of the independent data stores, wherein each searchable data service object specifies two or more attributes of a particular entity in a particular data store, wherein the attributes include a unique entity identifier for locating the particular entity in the particular data store; locate sets of one or more searchable data service objects from the searchable indexes that satisfy received query requests, wherein the received query requests specify one of the searchable indexes; and return at least the entity identifiers from the sets of one or more searchable data service objects that satisfy the query requests to the client applications in accordance with the web service interface. | 1. A system, comprising: one or more computer devices configured to implement a web services platform configured to provide a web service interface to a searchable data service, wherein the web services platform is configured to receive service requests from a plurality of client applications in accordance with the web service interface, wherein the service requests comprise query requests and storage requests, and wherein the web service interface provides a common message endpoint to the plurality of client applications to send the query requests and storage requests; and a plurality of computer devices configured to implement a plurality of nodes configured to participate in the searchable data service to: store searchable data service objects specified in received storage requests in respective searchable indexes for a plurality of independent data stores used by the client applications, wherein the searchable indexes are on the plurality of nodes, wherein the data stores are on one or more storage devices each on a network and separate from the one or more computer devices that implement the plurality of nodes configured to participate in the searchable data service, wherein each searchable index stores searchable data service objects for a particular one of the plurality of independent data stores such that each searchable index provides a complete index for only one of the independent data stores, wherein each searchable data service object specifies two or more attributes of a particular entity in a particular data store, wherein the attributes include a unique entity identifier for locating the particular entity in the particular data store; locate sets of one or more searchable data service objects from the searchable indexes that satisfy received query requests, wherein the received query requests specify one of the searchable indexes; and return at least the entity identifiers from the sets of one or more searchable data service objects that satisfy the query requests to the client applications in accordance with the web service interface. 29. The system as recited in claim 1 , wherein each of the plurality of nodes is configured to propagate searchable data service information to others of the plurality of nodes in accordance with a gossip protocol. | 0.888658 |
8,924,223 | 3 | 4 | 3. The method of claim 1 , wherein the first answer and the second answer each comprise one of a verbal answer and a text-based answer. | 3. The method of claim 1 , wherein the first answer and the second answer each comprise one of a verbal answer and a text-based answer. 4. The method of claim 3 , wherein an analysis of the verbal answer further comprises analyzing one of an answer pace, a tonal quality, and a voice frequency. | 0.5 |
7,751,551 | 7 | 11 | 7. A speech-enabled call routing system comprising: a processor; a network interface to receive speech input from a caller; an acoustic model executable by the processor to use phonemes to convert the received speech input into one or more word strings; a semantic model executable by the processor to convert the one or more word strings into one or more actions and one or more objects; an action object routing module executable by the processor to: assign an action confidence level to each action of the one or more actions, wherein the action confidence level represents a probability that a particular action reflects an intended caller action; and assign an object confidence level to each object of the one or more objects, wherein the object confidence level represents a probability that a particular object reflects an intended caller object; determine an action-object pair that represents a highest confidence level action and a highest confidence level object; determine a desired call destination based on the action-object pair using a routing table; a business rule module executable by the processor to: determine whether the caller is in compliance with a business rule related to a maximum amount of time for a voice message box of the caller to be full; wherein the speech-enabled routing system routes the call to a second destination when the caller is not in compliance with the business rule, wherein the caller is prompted to comply with the business rule at the second call destination; and wherein the speech-enabled routing system routes the call to the desired call destination upon compliance with the business rule. | 7. A speech-enabled call routing system comprising: a processor; a network interface to receive speech input from a caller; an acoustic model executable by the processor to use phonemes to convert the received speech input into one or more word strings; a semantic model executable by the processor to convert the one or more word strings into one or more actions and one or more objects; an action object routing module executable by the processor to: assign an action confidence level to each action of the one or more actions, wherein the action confidence level represents a probability that a particular action reflects an intended caller action; and assign an object confidence level to each object of the one or more objects, wherein the object confidence level represents a probability that a particular object reflects an intended caller object; determine an action-object pair that represents a highest confidence level action and a highest confidence level object; determine a desired call destination based on the action-object pair using a routing table; a business rule module executable by the processor to: determine whether the caller is in compliance with a business rule related to a maximum amount of time for a voice message box of the caller to be full; wherein the speech-enabled routing system routes the call to a second destination when the caller is not in compliance with the business rule, wherein the caller is prompted to comply with the business rule at the second call destination; and wherein the speech-enabled routing system routes the call to the desired call destination upon compliance with the business rule. 11. The speech-enabled call routing system of claim 7 , wherein the maximum amount of time for the voice message box of the caller to be full is two months, and wherein the caller is not in compliance with the first business rule when the voice message box of the caller has been full for over two months. | 0.708413 |
8,700,998 | 10 | 13 | 10. A computer comprising: a processor to execute instructions; and a memory to store instructions, which when executed by the processor, causes the computer to: display a first instance of a window of a user interface of an application, wherein the first instance of the window comprises text in a first natural language, wherein the text in the first natural language is retrieved from a first resource file of the application; identify the first resource file of the application containing the text in the first natural language displayed in the first instance of the window and a second resource file of the application associated with the first resource file of the application; intercept a call by the application to a graphical user interface toolkit; call a translation of the text in the first natural language into a second natural language from the graphical user interface toolkit, wherein the translation of the text into the second natural language is stored in the second resource file and the translation of the text into the second natural language comprises a portion of text in the second natural language and a portion of text remaining in the first natural language; display, in relation to an execution path of the application and a user action associated with the application, a second instance of the window of the user interface of the application, wherein the second instance of the window comprises the translation of the text into the second natural language, wherein the translation of the text into the second natural language is retrieved from a second resource file of the application associated with the first resource file of the application; receive, via the second instance of the window and concurrent with execution of the application, an edit of the portion of text remaining in the first natural language of the translation of the text into the second natural language; and store the edited translation of the text into the second natural language in the second resource file. | 10. A computer comprising: a processor to execute instructions; and a memory to store instructions, which when executed by the processor, causes the computer to: display a first instance of a window of a user interface of an application, wherein the first instance of the window comprises text in a first natural language, wherein the text in the first natural language is retrieved from a first resource file of the application; identify the first resource file of the application containing the text in the first natural language displayed in the first instance of the window and a second resource file of the application associated with the first resource file of the application; intercept a call by the application to a graphical user interface toolkit; call a translation of the text in the first natural language into a second natural language from the graphical user interface toolkit, wherein the translation of the text into the second natural language is stored in the second resource file and the translation of the text into the second natural language comprises a portion of text in the second natural language and a portion of text remaining in the first natural language; display, in relation to an execution path of the application and a user action associated with the application, a second instance of the window of the user interface of the application, wherein the second instance of the window comprises the translation of the text into the second natural language, wherein the translation of the text into the second natural language is retrieved from a second resource file of the application associated with the first resource file of the application; receive, via the second instance of the window and concurrent with execution of the application, an edit of the portion of text remaining in the first natural language of the translation of the text into the second natural language; and store the edited translation of the text into the second natural language in the second resource file. 13. The computer of claim 10 , wherein the resource files are retrieved by a graphical user interface toolkit and the graphical user interface toolkit is a component of an operating system. | 0.5 |
7,543,286 | 1 | 2 | 1. A method for mapping a tag in a markup language (ML) document to a class using namespaces, comprising: analyzing a tag in the ML document; referencing a definition file location attribute in the ML document, wherein the definition file location attribute is identified by the tag; retrieving a definition file from a storage location identified by the definition file location attribute, wherein the definition file includes: a schema that limits the scope of attributes in the definition file, a list of assemblies that references the definition file, a list of common language runtime namespaces associated with the list of assemblies that references the definition file, wherein each common language runtime namespace includes a list of common language classes associated with the common language runtime namespace, and an installation tag that includes a uniform resource identifier for installing assemblies of the list of assemblies; referencing a common language runtime namespace related to the tag within the definition file to determine the common language runtime class associated with the tag; and locating the common language runtime class in an assembly such that the tag is mapped to the common language runtime class. | 1. A method for mapping a tag in a markup language (ML) document to a class using namespaces, comprising: analyzing a tag in the ML document; referencing a definition file location attribute in the ML document, wherein the definition file location attribute is identified by the tag; retrieving a definition file from a storage location identified by the definition file location attribute, wherein the definition file includes: a schema that limits the scope of attributes in the definition file, a list of assemblies that references the definition file, a list of common language runtime namespaces associated with the list of assemblies that references the definition file, wherein each common language runtime namespace includes a list of common language classes associated with the common language runtime namespace, and an installation tag that includes a uniform resource identifier for installing assemblies of the list of assemblies; referencing a common language runtime namespace related to the tag within the definition file to determine the common language runtime class associated with the tag; and locating the common language runtime class in an assembly such that the tag is mapped to the common language runtime class. 2. The method of claim 1 , wherein analyzing the tag further comprises analyzing tags in linear order as listed in the ML document. | 0.807353 |
10,133,708 | 13 | 17 | 13. A hardware storage device, comprising computer readable instructions configured to be executed by a processor of a computer system to implement a method for persistently linking sources to text copied from the sources, the method comprising: said processor displaying a first electronic document, said displaying comprising displaying first text appearing in the first electronic document; said processor obtaining, from a web page differing from the first electronic document, both selected text and an address of a source electronic document that comprises the selected text in a temporary computer object; said processor generating the temporary computer object that includes the selected text and persistently links the selected text with the source electronic document object, said generating the temporary computer object comprising generating a header in the temporary computer object, said generating the header in the temporary computer object comprising: copying a first tag, a second tag, and the obtained address of the source electronic document into the header of the temporary computer object, wherein the first tag marks the beginning of the header and the second tag marks the end of the header, wherein the address of the source electronic document is disposed between the first tag and the second tag in the header, wherein the header consists of the first tag, an identifier of the temporary computer object, an attribute pertaining to the address of the source electronic document, the address of the source electronic document paired in the header with the attribute, additional information pertaining to the source electronic document, and the second tag, and wherein the additional information consists of an author of the source electronic document, a date of creation of the source electronic document, and an owner of the intellectual property rights of the source electronic document; said processor copying the obtained selected text into the temporary computer object; said processor copying a third tag into the temporary computer object, wherein the third tag marks the end of the temporary computer object, and wherein the selected text is disposed between the header of the temporary computer object and the third tag, wherein the selected text in the temporary computer object is persistently linked with the source electronic document via the address of the source electronic document in the temporary computer object; said processor storing the temporary computer object in the first electronic document after the first text, wherein the temporary computer object in the first electronic document persistently links the selected text with the source electronic document that comprises the selected text. | 13. A hardware storage device, comprising computer readable instructions configured to be executed by a processor of a computer system to implement a method for persistently linking sources to text copied from the sources, the method comprising: said processor displaying a first electronic document, said displaying comprising displaying first text appearing in the first electronic document; said processor obtaining, from a web page differing from the first electronic document, both selected text and an address of a source electronic document that comprises the selected text in a temporary computer object; said processor generating the temporary computer object that includes the selected text and persistently links the selected text with the source electronic document object, said generating the temporary computer object comprising generating a header in the temporary computer object, said generating the header in the temporary computer object comprising: copying a first tag, a second tag, and the obtained address of the source electronic document into the header of the temporary computer object, wherein the first tag marks the beginning of the header and the second tag marks the end of the header, wherein the address of the source electronic document is disposed between the first tag and the second tag in the header, wherein the header consists of the first tag, an identifier of the temporary computer object, an attribute pertaining to the address of the source electronic document, the address of the source electronic document paired in the header with the attribute, additional information pertaining to the source electronic document, and the second tag, and wherein the additional information consists of an author of the source electronic document, a date of creation of the source electronic document, and an owner of the intellectual property rights of the source electronic document; said processor copying the obtained selected text into the temporary computer object; said processor copying a third tag into the temporary computer object, wherein the third tag marks the end of the temporary computer object, and wherein the selected text is disposed between the header of the temporary computer object and the third tag, wherein the selected text in the temporary computer object is persistently linked with the source electronic document via the address of the source electronic document in the temporary computer object; said processor storing the temporary computer object in the first electronic document after the first text, wherein the temporary computer object in the first electronic document persistently links the selected text with the source electronic document that comprises the selected text. 17. The storage device of claim 13 , said method comprising: said processor modifying the selected text in the temporary computer object; and said processor modifying the temporary computer object in a manner that persistently links the modified selected text with the source electronic document object. | 0.750822 |
9,621,602 | 13 | 16 | 13. The method of claim 12 , wherein identifying the physical movement profiles as corresponding to a physical social action comprises matching each of the profiles to at least one baseline profile of a physical social interaction. | 13. The method of claim 12 , wherein identifying the physical movement profiles as corresponding to a physical social action comprises matching each of the profiles to at least one baseline profile of a physical social interaction. 16. The method of claim 13 wherein one of the proximately disposed users is inanimate. | 0.799065 |
9,110,971 | 13 | 23 | 13. A method for receiving and processing search queries and presenting search results to users, the method comprising: a) receiving a query comprising terms representing a patent claim search; b) using a search engine to retrieve from a database a first set of patent information, each item of the first set of patent information comprising one or more claims responsive to the query, wherein the query comprises a plurality of query permutations derived from the original query language and comprising either or both of a claim text-based query permutation and a key concept-based query permutation, and wherein the search engine is adapted to execute a plurality of query search permutations in arriving at the first set of patent information; c) re-ranking the entire first set of patent information based on a set of patent features to generate a re-ranked set of patent information without reducing the number of candidate patent documents in the set, the re-ranking module being adapted to weight the set of patent features based on a set of features including at least one classification feature related to a subject matter of the claim, and wherein the set of patent features comprises one or more from a group consisting of: fields of a patent; patent title; patent abstract; patent IPC code; patent references; patent claims; rank-c, representing a lowest rank of any claim of a patent in the first set of candidate patent documents; sim(c,c), representing a highest similarity score between the query and claims in a patent in the first set of candidate patent documents; sim(c,cs), representing a similarity score between the query and all the claims of a patent in the first set of candidate patent documents; sim(c,title), representing a similarity score between the query and the title of a patent in the first set of candidate patent documents; sim(c,abstract), representing a similarity score between the query and the abstract of a patent in the first set of candidate patent documents; sim(key,key), representing a similarity score between key concepts of the query and a patent in the first set of candidate patent documents; sim(key,title), representing a similarity score between the key concept of the query and the title of a patent in the first set of candidate patent documents; sim(key,abstract), representing a similarity score between the key concept of the query and the abstract of a patent in the first set of candidate patent documents; IPC-overlap, representing a number of overlapping IPC codes between IPC codes of a patent in the first set of candidate patent documents and the IPC codes of an initial high-ranking set of patents in the first set of candidate patent documents; and direct-Cite, representing the number of patents in the initial high-ranking set of patent documents that cite or are cited by a patent in the first set of candidate patent documents; and d) generating for display an ordered set of information derived from the re-ranked set of patent information responsive to the query. | 13. A method for receiving and processing search queries and presenting search results to users, the method comprising: a) receiving a query comprising terms representing a patent claim search; b) using a search engine to retrieve from a database a first set of patent information, each item of the first set of patent information comprising one or more claims responsive to the query, wherein the query comprises a plurality of query permutations derived from the original query language and comprising either or both of a claim text-based query permutation and a key concept-based query permutation, and wherein the search engine is adapted to execute a plurality of query search permutations in arriving at the first set of patent information; c) re-ranking the entire first set of patent information based on a set of patent features to generate a re-ranked set of patent information without reducing the number of candidate patent documents in the set, the re-ranking module being adapted to weight the set of patent features based on a set of features including at least one classification feature related to a subject matter of the claim, and wherein the set of patent features comprises one or more from a group consisting of: fields of a patent; patent title; patent abstract; patent IPC code; patent references; patent claims; rank-c, representing a lowest rank of any claim of a patent in the first set of candidate patent documents; sim(c,c), representing a highest similarity score between the query and claims in a patent in the first set of candidate patent documents; sim(c,cs), representing a similarity score between the query and all the claims of a patent in the first set of candidate patent documents; sim(c,title), representing a similarity score between the query and the title of a patent in the first set of candidate patent documents; sim(c,abstract), representing a similarity score between the query and the abstract of a patent in the first set of candidate patent documents; sim(key,key), representing a similarity score between key concepts of the query and a patent in the first set of candidate patent documents; sim(key,title), representing a similarity score between the key concept of the query and the title of a patent in the first set of candidate patent documents; sim(key,abstract), representing a similarity score between the key concept of the query and the abstract of a patent in the first set of candidate patent documents; IPC-overlap, representing a number of overlapping IPC codes between IPC codes of a patent in the first set of candidate patent documents and the IPC codes of an initial high-ranking set of patents in the first set of candidate patent documents; and direct-Cite, representing the number of patents in the initial high-ranking set of patent documents that cite or are cited by a patent in the first set of candidate patent documents; and d) generating for display an ordered set of information derived from the re-ranked set of patent information responsive to the query. 23. The method of claim 13 , wherein the query comprises a plurality of separately defined query terms. | 0.926743 |
5,504,902 | 53 | 54 | 53. The system of claim 42 further comprising: means for displaying the first corresponding instructions of the source program in the ladder-based language, as edited, as a ladder diagram on a display device; and means for displaying the second corresponding instructions of the source program in the high-level text-based language as text on the display device. | 53. The system of claim 42 further comprising: means for displaying the first corresponding instructions of the source program in the ladder-based language, as edited, as a ladder diagram on a display device; and means for displaying the second corresponding instructions of the source program in the high-level text-based language as text on the display device. 54. The system of claim 53 wherein the first display interfacing means and the second display interfacing means display the ladder diagram and the text simultaneously and wherein the ladder diagram corresponds to the same at least one of the one or more instructions of the source program as the text. | 0.5 |
8,433,669 | 1 | 5 | 1. A computer-implemented method for configuring a classifier structure, the method comprising: receiving, by a processor, a classifier structure for identifying one or more features of input data, the structure having a parent classifier trained as a binary classifier and a plurality of child binary classifiers, wherein the parent classifier is configured to identify one feature of interest by determining a numeric score representing a measure of a likelihood of the input data including the feature of interest; adding a plurality of thresholds to the parent classifier to generate a modified classifier, wherein each threshold is associated with a different child binary classifier and the plurality of thresholds control how data is distributed by the parent modified classifier to the child binary classifiers, wherein each threshold has a respective cost; and setting the plurality of thresholds to values different from one another to minimize the total cost based on the resources available to the child binary classifiers, wherein the modified classifier is configured to output data to each child binary classifier by comparing the determined score against the threshold associated with the corresponding child classifier, wherein the modified classifier includes at least two output branches for either outputting data excluding the feature or data including the feature to two child binary classifiers in parallel. | 1. A computer-implemented method for configuring a classifier structure, the method comprising: receiving, by a processor, a classifier structure for identifying one or more features of input data, the structure having a parent classifier trained as a binary classifier and a plurality of child binary classifiers, wherein the parent classifier is configured to identify one feature of interest by determining a numeric score representing a measure of a likelihood of the input data including the feature of interest; adding a plurality of thresholds to the parent classifier to generate a modified classifier, wherein each threshold is associated with a different child binary classifier and the plurality of thresholds control how data is distributed by the parent modified classifier to the child binary classifiers, wherein each threshold has a respective cost; and setting the plurality of thresholds to values different from one another to minimize the total cost based on the resources available to the child binary classifiers, wherein the modified classifier is configured to output data to each child binary classifier by comparing the determined score against the threshold associated with the corresponding child classifier, wherein the modified classifier includes at least two output branches for either outputting data excluding the feature or data including the feature to two child binary classifiers in parallel. 5. The computer-implemented method of claim 1 , wherein the data excluding the feature is transmitted from the modified classifier to a child binary classifier if the score is less than the threshold associated with the child binary classifier. | 0.5 |
7,730,059 | 14 | 15 | 14. The method of claim 12 , wherein: the facet hierarchy includes a plurality of facets; the pre-defined cube structure includes pre-defined dimensions; and determining whether the pre-defined cube structure corresponds to the facet hierarchy comprises determining whether each facet of the facet hierarchy maps to a pre-defined dimension of the pre-defined cube structure. | 14. The method of claim 12 , wherein: the facet hierarchy includes a plurality of facets; the pre-defined cube structure includes pre-defined dimensions; and determining whether the pre-defined cube structure corresponds to the facet hierarchy comprises determining whether each facet of the facet hierarchy maps to a pre-defined dimension of the pre-defined cube structure. 15. The method of claim 14 , wherein: the pre-defined cube structure further includes a plurality of pre-defined measures; and modifying the pre-defined cube structure comprises re-calculating a pre-defined measure based on the documents that satisfy the query. | 0.5 |
9,201,854 | 13 | 14 | 13. The non-transitory computer readable storage medium of claim 12 , wherein each resource subcomponent comprises edit resources and one or more print resource subcomponents. | 13. The non-transitory computer readable storage medium of claim 12 , wherein each resource subcomponent comprises edit resources and one or more print resource subcomponents. 14. The non-transitory computer readable storage medium of claim 13 , wherein each print resource subcomponent comprises a print format subcomponent. | 0.5 |
7,958,127 | 15 | 16 | 15. The computer-readable medium of claim 1 , further comprising the steps of: monitoring explicit sales metrics indicative of sales activity generated by user interaction with the electronic source documents; computing a user rank for each electronic source document based at least in part on the explicit metrics indicative of indicative of sales activity; wherein the computation of the a tag-mediated content quality score for each electronic source document is based at least in part on the user rank for the source document. | 15. The computer-readable medium of claim 1 , further comprising the steps of: monitoring explicit sales metrics indicative of sales activity generated by user interaction with the electronic source documents; computing a user rank for each electronic source document based at least in part on the explicit metrics indicative of indicative of sales activity; wherein the computation of the a tag-mediated content quality score for each electronic source document is based at least in part on the user rank for the source document. 16. The computer-readable medium of claim 15 , wherein the explicit sales metrics indicative of sales activity for a particular electronic source document comprise one or more of the following: purchases made by users after receiving information from the particular electronic source document; repeat purchases made by users after having made an initial purchase after receiving information from the particular electronic source document; links made by users to sites providing additional information regarding produces or services for sale after receiving information from the particular electronic source document; and links made by users to affiliate commercial sites after receiving information from the particular electronic source document. | 0.5 |
7,801,881 | 16 | 20 | 16. A computer readable storage medium and one or more computer programs embedded therein, the computer programs comprising instructions, which when executed by a computer system, cause the computer system to: access one or more sources of document information, wherein the sources are associated with a website server; extract the document information including metadata from the sources; generate a sitemap of a website at the website server, the sitemap including a list of documents and corresponding metadata for each of a plurality of documents in the list of documents based on the document information, wherein the metadata comprises at least one of the group consisting of: document modification date information associated with the plurality of documents, document access frequency information associated with the plurality of documents, document priority information associated with the plurality of documents, and document update rate information associated with the plurality of documents, wherein the document priority information indicates a crawling priority; and store the sitemap at a location; and transmit a notification from the website server to a remote computer associated with a web crawler system, the notification including information that identifies the location of the sitemap, the notification functioning as an indication that the sitemap is available for access. | 16. A computer readable storage medium and one or more computer programs embedded therein, the computer programs comprising instructions, which when executed by a computer system, cause the computer system to: access one or more sources of document information, wherein the sources are associated with a website server; extract the document information including metadata from the sources; generate a sitemap of a website at the website server, the sitemap including a list of documents and corresponding metadata for each of a plurality of documents in the list of documents based on the document information, wherein the metadata comprises at least one of the group consisting of: document modification date information associated with the plurality of documents, document access frequency information associated with the plurality of documents, document priority information associated with the plurality of documents, and document update rate information associated with the plurality of documents, wherein the document priority information indicates a crawling priority; and store the sitemap at a location; and transmit a notification from the website server to a remote computer associated with a web crawler system, the notification including information that identifies the location of the sitemap, the notification functioning as an indication that the sitemap is available for access. 20. The computer readable storage medium of claim 16 , further comprising instructions, which when executed by a computer system, cause the computer system to generate a plurality of sitemaps, and generating an index referencing the plurality of sitemaps; wherein the notification identifies the index. | 0.584022 |
4,849,732 | 32 | 33 | 32. An input device operated by a single hand and used to transmit information between the operator of said device and an electronic apparatus in communication with said device, comprising: a housing; a first key array having a plurality of input means mounted to said housing and operable by the thumb of the hand; a second key array having a plurality of input means mounted to said housing, said second array aligned along a path substantially parallel to a longitudinal axis of an extended first finger of the hand such that the second key array is operable by said first finger when the thumb of the hand is operably positioned proximal to said first array; a third key array having a plurality of input means mounted to said housing, said third array aligned along a path which is substantially parallel to a longitudinal axis of an extended second finger of the hand such that the third array is operable by the second finger when the thumb and first finger are operably positioned proximal to said first and second arrays, respectively; a fourth key array having a plurality of input means mounted to said housing, said third array aligned along a path substantially parallel to a longitudinal axis of an extended third finger of the hand such that the fourth key array is operable by the third finger when the thumb, first finger and second finger are operably positioned proximal to said first, second and third arrays, respectively; a fifth key array having a plurality of input means mounted to said housing, said fifth array aligned along a path substantially parallel to the longitudinal axis of an extended fourth finger such that said fifth key array is operable by the fourth finger when the thumb, first finger, second finger and third finger of the hand are operably positioned proximal to said first, second, third and fourth arrays, respectively, wherein said first and said fifth key arrays are configured to be mutually interchangeable, said housing being arranged to receive said mutually interchangeable first and fifth key arrays in either configuration, permitting said input device to be operable alternately by the left and the right hand, and the input means of said second, third, fourth and fifth arrays including single key stroke input keys which permit the entry of a single character by the activation of one of said keys providing a spacing between said key arrays maximized at the positions corresponding to the maximum extension of corresponding finger. | 32. An input device operated by a single hand and used to transmit information between the operator of said device and an electronic apparatus in communication with said device, comprising: a housing; a first key array having a plurality of input means mounted to said housing and operable by the thumb of the hand; a second key array having a plurality of input means mounted to said housing, said second array aligned along a path substantially parallel to a longitudinal axis of an extended first finger of the hand such that the second key array is operable by said first finger when the thumb of the hand is operably positioned proximal to said first array; a third key array having a plurality of input means mounted to said housing, said third array aligned along a path which is substantially parallel to a longitudinal axis of an extended second finger of the hand such that the third array is operable by the second finger when the thumb and first finger are operably positioned proximal to said first and second arrays, respectively; a fourth key array having a plurality of input means mounted to said housing, said third array aligned along a path substantially parallel to a longitudinal axis of an extended third finger of the hand such that the fourth key array is operable by the third finger when the thumb, first finger and second finger are operably positioned proximal to said first, second and third arrays, respectively; a fifth key array having a plurality of input means mounted to said housing, said fifth array aligned along a path substantially parallel to the longitudinal axis of an extended fourth finger such that said fifth key array is operable by the fourth finger when the thumb, first finger, second finger and third finger of the hand are operably positioned proximal to said first, second, third and fourth arrays, respectively, wherein said first and said fifth key arrays are configured to be mutually interchangeable, said housing being arranged to receive said mutually interchangeable first and fifth key arrays in either configuration, permitting said input device to be operable alternately by the left and the right hand, and the input means of said second, third, fourth and fifth arrays including single key stroke input keys which permit the entry of a single character by the activation of one of said keys providing a spacing between said key arrays maximized at the positions corresponding to the maximum extension of corresponding finger. 33. The input device according to claim 32, wherein said device includes a plurality of label means each disposed in close association with a corresponding key, said label means being viewable while the fingers are in contact with said corresponding key. | 0.5 |
9,286,356 | 1 | 3 | 1. A method performed by one or more processing devices, comprising: determining, based on usage of a social network by a user, a maturity score for the user, where the maturity score represents a measure of user development of the user within the social network; for a particular type of content associated with a resource, retrieving, from a set of utility score instructions, a utility score instruction for the particular type of content; wherein the utility score instruction defines, for the particular type of content in the social network, a relationship between a utility score and the maturity score; wherein the utility score represents a measure of utility of the particular type of content to the user as defined by the measure of user development in the social network; and wherein the utility score is determined independent of user input; wherein defined relationships across the set of utility score instructions promote a first pre-defined type of content among less mature users of the social network relative to other maturities of other users of the social network and promote a second pre-defined type of content among more mature users of the social network relative to the other maturities of the other users of the social network; and determining, based on the set of utility score instructions and the maturity score, utility scores for resources that are accessible to the user. | 1. A method performed by one or more processing devices, comprising: determining, based on usage of a social network by a user, a maturity score for the user, where the maturity score represents a measure of user development of the user within the social network; for a particular type of content associated with a resource, retrieving, from a set of utility score instructions, a utility score instruction for the particular type of content; wherein the utility score instruction defines, for the particular type of content in the social network, a relationship between a utility score and the maturity score; wherein the utility score represents a measure of utility of the particular type of content to the user as defined by the measure of user development in the social network; and wherein the utility score is determined independent of user input; wherein defined relationships across the set of utility score instructions promote a first pre-defined type of content among less mature users of the social network relative to other maturities of other users of the social network and promote a second pre-defined type of content among more mature users of the social network relative to the other maturities of the other users of the social network; and determining, based on the set of utility score instructions and the maturity score, utility scores for resources that are accessible to the user. 3. The method of claim 1 , further comprising: ranking the resources based on the utility scores. | 0.913854 |
9,541,415 | 1 | 2 | 1. A navigation system comprising: an image capture unit, configured to capture a gesture; a control unit, coupled to the image capture unit, configured to: distinguish between a command motion and a natural motion based on the gesture, an auditory cue, and a contextual information; and generate a command combination for instructing the navigation system based on the command motion and the auditory cue. | 1. A navigation system comprising: an image capture unit, configured to capture a gesture; a control unit, coupled to the image capture unit, configured to: distinguish between a command motion and a natural motion based on the gesture, an auditory cue, and a contextual information; and generate a command combination for instructing the navigation system based on the command motion and the auditory cue. 2. The system as claimed in claim 1 wherein the control unit is configured to distinguish between the command motion and the natural motion based on a synchronicity of a timing of the gesture and the auditory cue. | 0.709809 |
9,213,961 | 7 | 9 | 7. The method of claim 1 , wherein the one or more key terms comprise two or more different sets of terms. | 7. The method of claim 1 , wherein the one or more key terms comprise two or more different sets of terms. 9. The method of claim 7 , wherein two or more social index scores correspond to the two or more different sets of terms, and wherein the two or more social index scores comprise one social index score for each of the two or more different sets of terms. | 0.661333 |
9,734,178 | 14 | 15 | 14. A non-transitory computer-readable storage medium storing computer-readable instructions, the instructions comprising: instructions for receiving, from a client in a computer system, a query for retrieving a value of a key associated with an entity, the query including (i) an entity ID of the entity (ii) a key ID of the key; instructions for searching, at a server in the computer system in response to the query, a first in-memory object having multiple entity-key association strings to obtain an entity-key association string that identifies an entity-key association of the entity and the key, the entity-key association string created by concatenating the entity ID of the entity with the key ID of the key; instructions for obtaining the entity-key association string from the first in-memory object; instructions for obtaining an association value ID of the entity-key association corresponding to the entity-key association string from a second in-memory object, the obtaining further including obtaining the value of the key from a storage location using the association value ID; and instructions for sending the value of the key to the client. | 14. A non-transitory computer-readable storage medium storing computer-readable instructions, the instructions comprising: instructions for receiving, from a client in a computer system, a query for retrieving a value of a key associated with an entity, the query including (i) an entity ID of the entity (ii) a key ID of the key; instructions for searching, at a server in the computer system in response to the query, a first in-memory object having multiple entity-key association strings to obtain an entity-key association string that identifies an entity-key association of the entity and the key, the entity-key association string created by concatenating the entity ID of the entity with the key ID of the key; instructions for obtaining the entity-key association string from the first in-memory object; instructions for obtaining an association value ID of the entity-key association corresponding to the entity-key association string from a second in-memory object, the obtaining further including obtaining the value of the key from a storage location using the association value ID; and instructions for sending the value of the key to the client. 15. The computer-readable storage medium of claim 14 , wherein the first in-memory object is a BLOB. | 0.907749 |
7,610,199 | 7 | 9 | 7. The method of claim 6 , wherein said endpointing search comprises the steps of: locating at least a first speech endpoint in said audio signal using a first Hidden Markov Model; and locating a second speech endpoint in said audio signal, such that at least a portion of said audio signal located between said first speech endpoint and said second speech endpoint represents speech. | 7. The method of claim 6 , wherein said endpointing search comprises the steps of: locating at least a first speech endpoint in said audio signal using a first Hidden Markov Model; and locating a second speech endpoint in said audio signal, such that at least a portion of said audio signal located between said first speech endpoint and said second speech endpoint represents speech. 9. The method of claim 7 , wherein said first speech endpoint is a speech starting point represented by a first frame of said audio signal and said second speech endpoint is a speech ending point represented by a second frame of said audio signal, said second frame occurring subsequent to said first frame. | 0.5 |
7,917,841 | 1 | 4 | 1. A method of viewing information associated with data in a spreadsheet, comprising: providing a document including data and information associated with the data; parsing the document to retrieve the associated information; processing the associated information to break the associated information down into at least one sentence; categorizing the at least one sentence based on a likelihood that the at least one sentence corresponds to at least one category in a taxonomy corresponding to the data resulting in at least one categorized sentence; assigning an association strength to the at least one categorized sentence, the association strength indicating the likelihood that the at least one categorized sentence corresponds to the at least one category in the taxonomy; filtering the at least one categorized sentence based on the association strength; matching one or more of the at least one categorized sentence with the at least one category in the taxonomy based on the filtering, resulting in an at least one categorized sentence matched with the at least one category in the taxonomy; and outputting only the at least one categorized sentence matched with the at least one category in the taxonomy to the spreadsheet. | 1. A method of viewing information associated with data in a spreadsheet, comprising: providing a document including data and information associated with the data; parsing the document to retrieve the associated information; processing the associated information to break the associated information down into at least one sentence; categorizing the at least one sentence based on a likelihood that the at least one sentence corresponds to at least one category in a taxonomy corresponding to the data resulting in at least one categorized sentence; assigning an association strength to the at least one categorized sentence, the association strength indicating the likelihood that the at least one categorized sentence corresponds to the at least one category in the taxonomy; filtering the at least one categorized sentence based on the association strength; matching one or more of the at least one categorized sentence with the at least one category in the taxonomy based on the filtering, resulting in an at least one categorized sentence matched with the at least one category in the taxonomy; and outputting only the at least one categorized sentence matched with the at least one category in the taxonomy to the spreadsheet. 4. The method of claim 1 , wherein the associated information comprises at least one of footnotes, head notes and management discussion. | 0.666667 |
6,045,277 | 12 | 17 | 12. A tape printing apparatus, comprising: selection means for selecting a print format from a plurality of print formats, each print format corresponding to instructions stored in a memory; character input means for inputting at least one character string containing a plurality of characters; storage means for storing the character string; printing means for printing the stored character string on a tape defining a longitudinal direction according to the instructions for the print format; and control means for equally spacing the characters of the character string along a predetermined print length and printing the characters, the control means comprising arranging means for, when the print format defines a horizontal writing index tab print format, arranging a vertical direction of each character of the stored character string in agreement with a transverse direction transverse to a longitudinal direction of the tape and arranging said each of the characters in the longitudinal direction of the tape, the character string is printed from a head thereof in a line and from a rear thereof in another line. | 12. A tape printing apparatus, comprising: selection means for selecting a print format from a plurality of print formats, each print format corresponding to instructions stored in a memory; character input means for inputting at least one character string containing a plurality of characters; storage means for storing the character string; printing means for printing the stored character string on a tape defining a longitudinal direction according to the instructions for the print format; and control means for equally spacing the characters of the character string along a predetermined print length and printing the characters, the control means comprising arranging means for, when the print format defines a horizontal writing index tab print format, arranging a vertical direction of each character of the stored character string in agreement with a transverse direction transverse to a longitudinal direction of the tape and arranging said each of the characters in the longitudinal direction of the tape, the character string is printed from a head thereof in a line and from a rear thereof in another line. 17. A tape printing apparatus according to claim 12, wherein said arranging means arranges said character string in agreement with the transverse direction of said recording medium. | 0.611588 |
9,104,771 | 1 | 4 | 1. A method for providing relevant product reviews to a user, the method comprising: monitoring a user session on a first website to gather information related to one or more of the following: purchasing habits, browsing habits and reviewing and writing product reviews; populating a database with actions performed by said user in connection with said monitored user session; generating both a personality report of said user comprising personality traits directed to actions, attitudes and behaviors of said user using said populated database and a list of reviewers designated as favored using said populated database; searching and identifying product reviews of interest on a product or a service using both said personality report of said user and said list of reviewers designated as favored; displaying, by a processor, one or more of said identified product reviews of interest on said product or said service that meet a threshold criteria to said user; searching and identifying said product reviews of interest on said product or said service being viewed by said user on a second website using one or more of said personality report of said user and said list of reviewers designated as favored; and searching and identifying said product reviews of interest on said product or said service related to a product review being viewed by said user using one or more of said personality report of said user and said list of reviewers designated as favored. | 1. A method for providing relevant product reviews to a user, the method comprising: monitoring a user session on a first website to gather information related to one or more of the following: purchasing habits, browsing habits and reviewing and writing product reviews; populating a database with actions performed by said user in connection with said monitored user session; generating both a personality report of said user comprising personality traits directed to actions, attitudes and behaviors of said user using said populated database and a list of reviewers designated as favored using said populated database; searching and identifying product reviews of interest on a product or a service using both said personality report of said user and said list of reviewers designated as favored; displaying, by a processor, one or more of said identified product reviews of interest on said product or said service that meet a threshold criteria to said user; searching and identifying said product reviews of interest on said product or said service being viewed by said user on a second website using one or more of said personality report of said user and said list of reviewers designated as favored; and searching and identifying said product reviews of interest on said product or said service related to a product review being viewed by said user using one or more of said personality report of said user and said list of reviewers designated as favored. 4. The method as recited in claim 1 further comprising: collecting reviews written by said user; and populating said database with said collected reviews. | 0.748366 |
7,945,602 | 8 | 10 | 8. A computer storage device having stored thereon computer-executable instructions which, when executed by one or more processors of a computing system, cause the computing system to perform a method, comprising: a computing system maintaining access to a plurality of web server document libraries having corresponding document library databases and document library file system folders, the computing system including a memory connected to at least one processor that executes stored instructions for implementing the method; receiving a document for storing in association with a selected web server document library, the selected web server document library including a document library database and a document library file system folder; associating a collective set of properties with only the selected web server document library among the plurality of web server document libraries, such that the collective set of properties are unique to the selected web server document library; receiving property value information for the received document that provides values for at least some of the collective set of properties that are unique to the selected web server document library; writing the property value information to the document library database of the selected web server document library, so that the document library database of the selected web server document library includes an entry that stores the property value information for the received document and that uniquely associates the received document with the selected web server document library; and storing the received document in the document library file system folder of the selected web server document library, wherein the document and any other documents stored in the selected document library file system folder have consistent properties selected from the collective set of properties, and wherein all documents stored in the document library file system folder are only specific to the selected web server document library of the plurality of plurality of web server document libraries and such that the received document is only stored in one folder of the plurality of web server document libraries. | 8. A computer storage device having stored thereon computer-executable instructions which, when executed by one or more processors of a computing system, cause the computing system to perform a method, comprising: a computing system maintaining access to a plurality of web server document libraries having corresponding document library databases and document library file system folders, the computing system including a memory connected to at least one processor that executes stored instructions for implementing the method; receiving a document for storing in association with a selected web server document library, the selected web server document library including a document library database and a document library file system folder; associating a collective set of properties with only the selected web server document library among the plurality of web server document libraries, such that the collective set of properties are unique to the selected web server document library; receiving property value information for the received document that provides values for at least some of the collective set of properties that are unique to the selected web server document library; writing the property value information to the document library database of the selected web server document library, so that the document library database of the selected web server document library includes an entry that stores the property value information for the received document and that uniquely associates the received document with the selected web server document library; and storing the received document in the document library file system folder of the selected web server document library, wherein the document and any other documents stored in the selected document library file system folder have consistent properties selected from the collective set of properties, and wherein all documents stored in the document library file system folder are only specific to the selected web server document library of the plurality of plurality of web server document libraries and such that the received document is only stored in one folder of the plurality of web server document libraries. 10. The computer storage device of claim 8 , wherein the properties form is generated using a query. | 0.84985 |
8,181,104 | 11 | 13 | 11. A computer-implemented method comprising: receiving, by an application executed by a computing system, input identifying a stylistic change to an element in a document, the element defined by markup code; responsive to the input, automatically accessing a style sheet included in the document or in a separate style sheet file referenced by the document, wherein the style sheet comprises a plurality of style sheet rules and wherein each rule is applicable to one or more elements in the document to control an appearance of the one or more elements; automatically searching the style sheet for a style sheet rule defining a style having attributes that match said stylistic change; if a style sheet rule in said style sheet matching said stylistic change is found, automatically applying the discovered style sheet rule to said content by modifying markup defining a structural element of said web page corresponding to said content; otherwise, automatically generating one or more style sheet rules for the stylistic change and updating the style sheet to include the generated one or more style sheet rules; and automatically applying the generated style sheet rule to said element by changing the markup code defining the element to reference the style sheet rule. | 11. A computer-implemented method comprising: receiving, by an application executed by a computing system, input identifying a stylistic change to an element in a document, the element defined by markup code; responsive to the input, automatically accessing a style sheet included in the document or in a separate style sheet file referenced by the document, wherein the style sheet comprises a plurality of style sheet rules and wherein each rule is applicable to one or more elements in the document to control an appearance of the one or more elements; automatically searching the style sheet for a style sheet rule defining a style having attributes that match said stylistic change; if a style sheet rule in said style sheet matching said stylistic change is found, automatically applying the discovered style sheet rule to said content by modifying markup defining a structural element of said web page corresponding to said content; otherwise, automatically generating one or more style sheet rules for the stylistic change and updating the style sheet to include the generated one or more style sheet rules; and automatically applying the generated style sheet rule to said element by changing the markup code defining the element to reference the style sheet rule. 13. The computer-readable medium of claim 11 , wherein the style sheet comprises a cascading style sheet. | 0.926778 |
9,189,551 | 1 | 10 | 1. A computer-implemented method for category based navigation for a primary user, the computer-implemented method comprising: determining a set of relevant users, the relevant users being users deemed, by a computer evaluation process, to be relevant to the primary user, wherein the set of relevant users is a subset of data representing a plurality of users; obtaining, at a server computer, user data related to the set of relevant users; storing the user data at the server computer in a user database, wherein the user data base database includes user data of other users of the plurality of users; obtaining entity data from one or more data sources, wherein the entity data is associated with an entity a plurality of entities; storing the entity data at the server computer, wherein the entity data associated with the plurality of entities is stored in an entity database; determining, at the server computer, a set of relevant entities relevant to the primary user from the plurality of entities based at least in part on the entity data and the user data; categorizing the set of relevant entities with an initial categorization based at least in part on the entity data; aggregating the user data for the set of relevant entities to create an initial order of relevance for the categories in the initial categorization; displaying, on a user device, at least an indication of the initial categorization and the initial order of relevance; obtaining, via the user device, user feedback related to the initial categorization and the initial order of relevance; adjusting the initial categorization based on the user feedback to form an adjusted categorization and an adjusted order of relevance, wherein the adjusted categorization and the adjusted order of relevance are based on the location data in the entity database; displaying the adjusted categorization and the adjusted order of relevance to the primary user; and obtaining, from the primary user, a response to the categorization of entities in the set of relevant entities via the user device. | 1. A computer-implemented method for category based navigation for a primary user, the computer-implemented method comprising: determining a set of relevant users, the relevant users being users deemed, by a computer evaluation process, to be relevant to the primary user, wherein the set of relevant users is a subset of data representing a plurality of users; obtaining, at a server computer, user data related to the set of relevant users; storing the user data at the server computer in a user database, wherein the user data base database includes user data of other users of the plurality of users; obtaining entity data from one or more data sources, wherein the entity data is associated with an entity a plurality of entities; storing the entity data at the server computer, wherein the entity data associated with the plurality of entities is stored in an entity database; determining, at the server computer, a set of relevant entities relevant to the primary user from the plurality of entities based at least in part on the entity data and the user data; categorizing the set of relevant entities with an initial categorization based at least in part on the entity data; aggregating the user data for the set of relevant entities to create an initial order of relevance for the categories in the initial categorization; displaying, on a user device, at least an indication of the initial categorization and the initial order of relevance; obtaining, via the user device, user feedback related to the initial categorization and the initial order of relevance; adjusting the initial categorization based on the user feedback to form an adjusted categorization and an adjusted order of relevance, wherein the adjusted categorization and the adjusted order of relevance are based on the location data in the entity database; displaying the adjusted categorization and the adjusted order of relevance to the primary user; and obtaining, from the primary user, a response to the categorization of entities in the set of relevant entities via the user device. 10. The computer-implemented method of claim 1 , wherein a response via the user device includes finger gestures, clicking, shaking the user device, a coordinate motion between two user devices, blowing on the user device, spinning the user device, making a sound, or speaking a voice command. | 0.815491 |
8,375,446 | 12 | 13 | 12. The non-transitory machine-readable medium of claim 11 , wherein the operations further comprise: sorting the user grammars so that longest phrases among the user grammars are applied first to an unclassified string. | 12. The non-transitory machine-readable medium of claim 11 , wherein the operations further comprise: sorting the user grammars so that longest phrases among the user grammars are applied first to an unclassified string. 13. The non-transitory machine-readable medium of claim 12 , wherein the operations further comprise: replacing each matching phrase with a variable-length code value. | 0.5 |
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