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8,527,538 | 10 | 12 | 10. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a query that includes a first geographic entity name; determining that a second geographic entity name that was identified as a substitute term for the first geographic entity name by a first substitution framework, was also identified as not a substitute term for the first geographic entity name by a second substitution framework; revising the query using the second geographic entity name to generate a revised query; obtaining search results that satisfy the revised query; and demoting a score of an obtained search result that corresponds to a document that includes the second geographic entity name based at least in part on determining that the second geographic entity name that was identified as a substitute term for the first geographic entity name by a first substitution framework was also identified as not a substitute term for the first geographic entity name by the second substitution framework. | 10. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: receiving a query that includes a first geographic entity name; determining that a second geographic entity name that was identified as a substitute term for the first geographic entity name by a first substitution framework, was also identified as not a substitute term for the first geographic entity name by a second substitution framework; revising the query using the second geographic entity name to generate a revised query; obtaining search results that satisfy the revised query; and demoting a score of an obtained search result that corresponds to a document that includes the second geographic entity name based at least in part on determining that the second geographic entity name that was identified as a substitute term for the first geographic entity name by a first substitution framework was also identified as not a substitute term for the first geographic entity name by the second substitution framework. 12. The system of claim 10 , wherein demoting a score of an obtained search result that corresponds to a document that includes the second geographic entity name comprises: determining that the document includes the second geographic entity name; and omitting occurrences of the second geographic entity name in the document when computing the score for the corresponding search result. | 0.647166 |
9,349,368 | 1 | 7 | 1. A computer-implemented method, comprising: determining, by one or more computer processors, that a particular computing device received a message that was transmitted to the particular computing device over a network; providing, by the one or more computer processors, the message to a first application program that is associated with the message; determining, by the one or more computer processors and based on a determination of whether a context of the particular computing device satisfies a particular criterion, whether to cause the particular computing device to present an audible notification that the particular computing device received the message; causing, by the one or more computer processors and responsive to determining that the context of the particular computing device satisfies the particular criterion, the particular computing device to present the audible notification that the particular computing device received the message; identifying, by the one or more computer processors, that the particular computing device is to wait, after the particular computing device has presented the audible notification, for an audible user response to the presentation of the audible notification; starting, by the one or more computer processors and responsive to the presentation of the audible notification and having identified that the particular computer device is to wait for the audible user response to the presentation of the audible notification, a first pre-defined time period during which the particular computing device is to listen for the audible user response to the presentation of the audible notification; recording, during the first pre-defined time period, a first audible user response to the presentation of the audible notification; determining, by the one or more processors, that the first audible user response includes one or more words that identify a command for the first application program to perform in response to the presentation of the audible notification; causing, by the one or more processors, the first application program to perform the command responsive to determining that the first audible user response includes the one or more words that identify the command for the first application program to perform; determining, by the one or more computer processors, that the particular computing device received a second message that was transmitted to the particular computing device over a network; providing, by the one or more computer processors, the second message to a second application program that is associated with the second message; causing, by the one or more computer processors, the particular computing device to present a second audible notification that the particular computing device received the second message; and starting, by the one or more computer processors and responsive to the presentation of the second audible notification, a second pre-defined time period during which the particular computing device is to listen for a second audible user response to the presentation of the second audible notification, wherein attributes of the particular computing device specify that the first application program is assigned the first pre-defined time period and that the second application program is assigned the second pre-defined time period, wherein the first pre-defined time period has a different length than a length of the second pre-defined time period. | 1. A computer-implemented method, comprising: determining, by one or more computer processors, that a particular computing device received a message that was transmitted to the particular computing device over a network; providing, by the one or more computer processors, the message to a first application program that is associated with the message; determining, by the one or more computer processors and based on a determination of whether a context of the particular computing device satisfies a particular criterion, whether to cause the particular computing device to present an audible notification that the particular computing device received the message; causing, by the one or more computer processors and responsive to determining that the context of the particular computing device satisfies the particular criterion, the particular computing device to present the audible notification that the particular computing device received the message; identifying, by the one or more computer processors, that the particular computing device is to wait, after the particular computing device has presented the audible notification, for an audible user response to the presentation of the audible notification; starting, by the one or more computer processors and responsive to the presentation of the audible notification and having identified that the particular computer device is to wait for the audible user response to the presentation of the audible notification, a first pre-defined time period during which the particular computing device is to listen for the audible user response to the presentation of the audible notification; recording, during the first pre-defined time period, a first audible user response to the presentation of the audible notification; determining, by the one or more processors, that the first audible user response includes one or more words that identify a command for the first application program to perform in response to the presentation of the audible notification; causing, by the one or more processors, the first application program to perform the command responsive to determining that the first audible user response includes the one or more words that identify the command for the first application program to perform; determining, by the one or more computer processors, that the particular computing device received a second message that was transmitted to the particular computing device over a network; providing, by the one or more computer processors, the second message to a second application program that is associated with the second message; causing, by the one or more computer processors, the particular computing device to present a second audible notification that the particular computing device received the second message; and starting, by the one or more computer processors and responsive to the presentation of the second audible notification, a second pre-defined time period during which the particular computing device is to listen for a second audible user response to the presentation of the second audible notification, wherein attributes of the particular computing device specify that the first application program is assigned the first pre-defined time period and that the second application program is assigned the second pre-defined time period, wherein the first pre-defined time period has a different length than a length of the second pre-defined time period. 7. The computer-implemented method of claim 1 , wherein: the particular criterion includes the particular computing device being connected to a user earpiece; determining whether to cause the particular computing device to present the audible notification that the particular computing device received the message includes determining that the context of the particular computing device satisfies the particular criterion due to the particular computing device being connected to the user earpiece; causing the particular computing device to present the audible notification that the particular computing device received the message is responsive to having determined that the context of the particular computing device satisfies the particular criterion due to the particular computing device being connected to the user earpiece; and the one or more computer processors is configured to prevent the particular computing device from presenting the audible notification that the particular computing device received the message, responsive to determining that the context of the particular computing device does not satisfy the particular criterion due to the particular computing device not being connected to the user earpiece. | 0.539355 |
9,489,378 | 11 | 12 | 11. The computer-implemented method of claim 10 , wherein determining clusters of the n-gram spans for each of the n-gram types comprises: selecting pairs of n-grams spans; determining a similarity measure for each pair of n-gram spans, each similarity measure being a measure of similarity of the n-gram spans in the pair of n-grams spans to each other; and clustering the n-gram spans based on the similarity measures. | 11. The computer-implemented method of claim 10 , wherein determining clusters of the n-gram spans for each of the n-gram types comprises: selecting pairs of n-grams spans; determining a similarity measure for each pair of n-gram spans, each similarity measure being a measure of similarity of the n-gram spans in the pair of n-grams spans to each other; and clustering the n-gram spans based on the similarity measures. 12. The computer-implemented method of claim 11 , wherein clustering the n-gram spans based on the similarity measures comprises: iteratively selecting pairs of n-gram spans in an order according to their respective similarity measures until a convergence condition is met; after each iterative selection: determining whether any of the n-gram spans belonging to the pair of n-gram spans belong to a cluster; for each pair of n-gram spans for which none of the n-gram spans of the pair belong to a cluster, creating a cluster the includes the n-gram spans; for each pair of n-gram spans for which only one of the n-gram spans belong to a cluster, adding the other n-gram span of the pair to the cluster; and for each pair of n-gram spans for which one of the n-gram spans belong to a first cluster and the other of the n-gram spans belong to a second cluster, merging the first and second clusters. | 0.5 |
9,727,607 | 4 | 16 | 4. A method comprising: receiving at a query transcoding device from a first query rewrite source device, a first set of query rewrite data, wherein the first set of query rewrite data comprises constraint data, metaflag data, and rewrite data, wherein the constraint data comprises at least a first trigger value, wherein the constraint data identifies a first merchant website, and wherein the rewrite data identifies at least a first query rewrite value associated with the first trigger value; processing the first set of query data to identify the first trigger and the first query rewrite value; analyzing the first set of query data to identify a first query rewrite type associated with the first set of query rewrite data from a plurality of query rewrite types; generating a first query rewrite input language (QRIL) record from the first set of query rewrite data, wherein the first QRIL record comprises the first trigger value, the first query rewrite value, and a first metaflag element that identifies the first QRIL record as associated with the first query rewrite type, and wherein the first QRIL record comprises a website constraint element that specifies that the first query rewrite value will be applied to the trigger only when the trigger is received at a search engine as part of a query associated with the first merchant website; storing the first QRIL record in a QRIL record database with a plurality of QRIL records; and associating the first query rewrite source device with the first merchant website in response to an authorization associated with the first merchant device; following the generating of the first QRIL record, receiving a second set of query rewrite data from the first query rewrite source device; and automatically generating a second website constraint element for a second QRIL generated from the second set of query rewrite data in response to a determination that the second set of query rewrite data is received from the first query rewrite source device and the authorization associated with the first merchant device. | 4. A method comprising: receiving at a query transcoding device from a first query rewrite source device, a first set of query rewrite data, wherein the first set of query rewrite data comprises constraint data, metaflag data, and rewrite data, wherein the constraint data comprises at least a first trigger value, wherein the constraint data identifies a first merchant website, and wherein the rewrite data identifies at least a first query rewrite value associated with the first trigger value; processing the first set of query data to identify the first trigger and the first query rewrite value; analyzing the first set of query data to identify a first query rewrite type associated with the first set of query rewrite data from a plurality of query rewrite types; generating a first query rewrite input language (QRIL) record from the first set of query rewrite data, wherein the first QRIL record comprises the first trigger value, the first query rewrite value, and a first metaflag element that identifies the first QRIL record as associated with the first query rewrite type, and wherein the first QRIL record comprises a website constraint element that specifies that the first query rewrite value will be applied to the trigger only when the trigger is received at a search engine as part of a query associated with the first merchant website; storing the first QRIL record in a QRIL record database with a plurality of QRIL records; and associating the first query rewrite source device with the first merchant website in response to an authorization associated with the first merchant device; following the generating of the first QRIL record, receiving a second set of query rewrite data from the first query rewrite source device; and automatically generating a second website constraint element for a second QRIL generated from the second set of query rewrite data in response to a determination that the second set of query rewrite data is received from the first query rewrite source device and the authorization associated with the first merchant device. 16. The method of claim 4 wherein the trigger comprises a set of token words in a first language; and wherein the first query rewrite value comprises a set of token words in a second language that is associated with the first country; and wherein the first query rewrite value comprises a token identifying a merchant located in the first country. | 0.576829 |
7,530,031 | 1 | 11 | 1. A character input device comprising a display unit having a display screen simultaneously displaying, when characters of hiragana 50-character Japanese language phonetic syllabary or alphanumeric characters are divided into a plurality of groups comprising columns and rows, characters of at least two columns spanning from at least two lines on a character input region provided on said display screen, a first group of two input keys and a second group of two input keys, and a display control unit displaying, in an identifiable manner, at least one selected character among the characters displayed on the character input region, said display control unit sequentially changing at least one character which is to be focused so as to be identifiable by scrolling at least two lines of characters in accordance with an operation of said first group of two input keys, said at least two lines of characters being displayed simultaneously; and changing the character, which is being focused so as to be identifiable, with another character belonging to the same row as that character in accordance with operation of said second group of two input keys. | 1. A character input device comprising a display unit having a display screen simultaneously displaying, when characters of hiragana 50-character Japanese language phonetic syllabary or alphanumeric characters are divided into a plurality of groups comprising columns and rows, characters of at least two columns spanning from at least two lines on a character input region provided on said display screen, a first group of two input keys and a second group of two input keys, and a display control unit displaying, in an identifiable manner, at least one selected character among the characters displayed on the character input region, said display control unit sequentially changing at least one character which is to be focused so as to be identifiable by scrolling at least two lines of characters in accordance with an operation of said first group of two input keys, said at least two lines of characters being displayed simultaneously; and changing the character, which is being focused so as to be identifiable, with another character belonging to the same row as that character in accordance with operation of said second group of two input keys. 11. A character input device as set forth in claim 1 , wherein said second group of two input keys are comprised of numeral keys of 0 to 9 and said display control unit replaces the currently identifiably displayed character with a character belonging to the same group as said character and separated by exactly a number of positions corresponding to a selected numeral key when a numeral key is operated. | 0.805556 |
7,787,205 | 4 | 5 | 4. The method of claim 2 , wherein calculating the first checksum for each of the plurality of subsequent code words includes shifting positions of the subsequent code words in a first direction prior to calculating the first checksum. | 4. The method of claim 2 , wherein calculating the first checksum for each of the plurality of subsequent code words includes shifting positions of the subsequent code words in a first direction prior to calculating the first checksum. 5. The method of claim 4 and further comprising: shifting positions of the subsequent code words in a second direction; and calculating a second checksum for each of the plurality of subsequent code words as shifted. | 0.5 |
9,171,013 | 17 | 20 | 17. A system comprising: a computing device; and a computer-readable medium coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations comprising: for stored data corresponding to image, supplementing the stored data with metadata that identifies one or more objects in the image; causing the image to be rendered; recognizing one or more objects in the rendered image based on the metadata; enabling a portion of the rendered image corresponding to a first recognized object to be user-interactive; detecting a user interaction with the portion of the rendered image corresponding to the first recognized object; and in response to detecting the user interaction, performing an action using the metadata characterizing the first recognized object. | 17. A system comprising: a computing device; and a computer-readable medium coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations comprising: for stored data corresponding to image, supplementing the stored data with metadata that identifies one or more objects in the image; causing the image to be rendered; recognizing one or more objects in the rendered image based on the metadata; enabling a portion of the rendered image corresponding to a first recognized object to be user-interactive; detecting a user interaction with the portion of the rendered image corresponding to the first recognized object; and in response to detecting the user interaction, performing an action using the metadata characterizing the first recognized object. 20. The system of claim 17 , wherein recognizing the one or more objects in the rendered image based on the metadata comprises identifying one or more respective locations of the one or more objects within the image based on the metadata. | 0.520161 |
8,626,488 | 1 | 4 | 1. A method comprising: receiving multi-lingual parallel text associating a source language, a target language, and one or more bridge languages; determining a direct alignment for the parallel text between the source language and the target language, the direct alignment representing a connection between words in the source language and the target language in the parallel text; determining, using one or more computing devices, a first bridge-based alignment for the parallel text between the source language and the target language using a first bridge language that is distinct from the source language and the target language, wherein the first bridge-based alignment is determined based in part on a first probability for a first alignment for the parallel text from the source language to the first bridge language and a second probability for a second alignment for the parallel text from the first bridge language to the target language; using the direct alignment for the parallel text between the source language and the target language to generate a first candidate translation of an input text from the source language to the target language; using the first bridge-based alignment to generate a second candidate translation of the input text from the source language to the target language; and determining a consensus translation based on the first and second candidate translations. | 1. A method comprising: receiving multi-lingual parallel text associating a source language, a target language, and one or more bridge languages; determining a direct alignment for the parallel text between the source language and the target language, the direct alignment representing a connection between words in the source language and the target language in the parallel text; determining, using one or more computing devices, a first bridge-based alignment for the parallel text between the source language and the target language using a first bridge language that is distinct from the source language and the target language, wherein the first bridge-based alignment is determined based in part on a first probability for a first alignment for the parallel text from the source language to the first bridge language and a second probability for a second alignment for the parallel text from the first bridge language to the target language; using the direct alignment for the parallel text between the source language and the target language to generate a first candidate translation of an input text from the source language to the target language; using the first bridge-based alignment to generate a second candidate translation of the input text from the source language to the target language; and determining a consensus translation based on the first and second candidate translations. 4. The method of claim 1 , wherein the connection between words in the source language and the target language in the parallel text includes a connection between each specific source word in the source language and at least one of: (i) a specific target word in the target language, (ii) a plurality of target words in the target language, and (iii) no word in the target language. | 0.639887 |
10,037,197 | 15 | 17 | 15. A system for executing a business process from a business process model recorded in a non-executable business process modeling language, the system comprising: one or more microprocessors and a memory; a set of microinstructions wherein each microinstruction defines an atomic operation that can be executed as part of a running business process in accordance with semantics defined by the non-executable business process modeling language; a compiler operating on said one or more microprocessors and memory; and wherein the compiler is adapted to compile a business process model for a business process recorded in the non-executable business process modeling language into a compiled business process model comprising a plurality of microprograms, wherein each microprogram comprises a minimal set of microinstructions selected from the set of microinstructions that together execute at least one of an activity, an event or a gateway of the business process model, wherein the microinstructions constitute an intermediate code portable to different runtime environments, wherein the compiler is configured to statically analyze the business process model to determine a process flow of the business process model representing a sequence of process steps and configurations for activities, events and gateways of the business process model that comprise the process steps, select, subsequent to and based on statically analyzing the business process model, the minimal set of microinstructions for each of the plurality of microprograms, and generate the plurality of microprograms using the selected microinstructions to achieve execution of the business process model, wherein the microinstructions that comprise the minimal set of microinstructions are selected for each microprogram according to semantic execution of that microprogram within the process flow, and according to target runtime performance of the business process, ability to reuse a microinstruction in other microprograms within the compiled business process model, and compliance with the underlying state machine implementation, and wherein said compiling resolves conditional code in said business process model recorded in said non-executable business process modeling language, and wherein at runtime said compiled business process model is executable on an execution platform. | 15. A system for executing a business process from a business process model recorded in a non-executable business process modeling language, the system comprising: one or more microprocessors and a memory; a set of microinstructions wherein each microinstruction defines an atomic operation that can be executed as part of a running business process in accordance with semantics defined by the non-executable business process modeling language; a compiler operating on said one or more microprocessors and memory; and wherein the compiler is adapted to compile a business process model for a business process recorded in the non-executable business process modeling language into a compiled business process model comprising a plurality of microprograms, wherein each microprogram comprises a minimal set of microinstructions selected from the set of microinstructions that together execute at least one of an activity, an event or a gateway of the business process model, wherein the microinstructions constitute an intermediate code portable to different runtime environments, wherein the compiler is configured to statically analyze the business process model to determine a process flow of the business process model representing a sequence of process steps and configurations for activities, events and gateways of the business process model that comprise the process steps, select, subsequent to and based on statically analyzing the business process model, the minimal set of microinstructions for each of the plurality of microprograms, and generate the plurality of microprograms using the selected microinstructions to achieve execution of the business process model, wherein the microinstructions that comprise the minimal set of microinstructions are selected for each microprogram according to semantic execution of that microprogram within the process flow, and according to target runtime performance of the business process, ability to reuse a microinstruction in other microprograms within the compiled business process model, and compliance with the underlying state machine implementation, and wherein said compiling resolves conditional code in said business process model recorded in said non-executable business process modeling language, and wherein at runtime said compiled business process model is executable on an execution platform. 17. The system of claim 15 , further comprising: a process development system including a graphical user interface for designing the business process model and recording the business process model in the business process modeling language wherein the business process modeling language is Business Process Model and Notation language. | 0.5 |
8,136,025 | 12 | 13 | 12. The method of claim 1 , wherein the globally unique identifiers are URL fingerprints. | 12. The method of claim 1 , wherein the globally unique identifiers are URL fingerprints. 13. The method of claim 12 , wherein each URL fingerprint comprises a value produced by applying a one way mapping function to an address associated with a document in the collection of documents. | 0.5 |
8,495,042 | 4 | 5 | 4. Automatic information extraction apparatus according to claim 2 , wherein the alternative information extraction modules are named entity recognition modules. | 4. Automatic information extraction apparatus according to claim 2 , wherein the alternative information extraction modules are named entity recognition modules. 5. Automatic information extraction apparatus according to claim 4 , wherein the alternative named entity recognition modules comprise the same software modules which implements a named entity recognition algorithm and different parameter data which determines the function of the named entity recognition algorithm. | 0.5 |
8,639,552 | 10 | 14 | 10. The method of claim 9 , wherein aggregating task data comprises aggregating and sorting data corresponding to at least one of task participant productivity, task participant work quality, task participant on-time percentage, and task participant relationship data. | 10. The method of claim 9 , wherein aggregating task data comprises aggregating and sorting data corresponding to at least one of task participant productivity, task participant work quality, task participant on-time percentage, and task participant relationship data. 14. The method of claim 10 , wherein aggregating task data comprises sorting a plurality of projects and monitoring the productivity of each task participant associated with a particular project. | 0.5 |
7,734,823 | 1 | 11 | 1. A computer-implemented method performed on a server in a network, comprising: storing in the server a structured document associated with an application that is executable on the server, the structured document defining a request URL mapping to the application and at least one rule for composing an instance of the application on the server using a set of one or more components, each of the components being defined in the structured document by a URI-addressable path and being one of: a presentation component, a code component and a data component; responsive to receipt at the server of a client request from a client, evaluating the client request; if the client request includes the request URL mapping to the application, retrieving the structured document associated with the application; using the structured document to compose an instance of the application on the server that includes the one or more components as defined in the structured document; generating a response to the client request using the instance of the application that has been composed on the server upon receipt of the client request; delivering the response to the client; after a given time period following delivery of the response, invalidating at least one component in the instance of the application so that the instance of the application is no longer available to respond to new client requests received at the server; and automatically invalidating any other component that was derived from the at least one component when the instance of the application was composed. | 1. A computer-implemented method performed on a server in a network, comprising: storing in the server a structured document associated with an application that is executable on the server, the structured document defining a request URL mapping to the application and at least one rule for composing an instance of the application on the server using a set of one or more components, each of the components being defined in the structured document by a URI-addressable path and being one of: a presentation component, a code component and a data component; responsive to receipt at the server of a client request from a client, evaluating the client request; if the client request includes the request URL mapping to the application, retrieving the structured document associated with the application; using the structured document to compose an instance of the application on the server that includes the one or more components as defined in the structured document; generating a response to the client request using the instance of the application that has been composed on the server upon receipt of the client request; delivering the response to the client; after a given time period following delivery of the response, invalidating at least one component in the instance of the application so that the instance of the application is no longer available to respond to new client requests received at the server; and automatically invalidating any other component that was derived from the at least one component when the instance of the application was composed. 11. The method as described in claim 1 wherein the presentation components are markup language fragments. | 0.736181 |
10,015,177 | 1 | 24 | 1. A method comprising: receiving, by a computer system, first event data indicative of computer network activity of a plurality of users and network devices in a computer network; generating, by the computer system, classification metadata for each of the network devices and users, based on the first event data, to indicate relevance in a network security context of each of the users and network devices; identifying, by the computer system, usage relationships between one or more of the users and one or more of the network devices, based on first event data; assigning, by the computer system, usage similarity scores to the network devices based on the identified usage relationships, the usage similarity scores being indicative of which of the network devices have been used by the same or similar group of users; receiving, by the computer system, second event data indicative of computer network activity of a particular user of the plurality of users; and detecting, by the computer system and in response to the second event data, an anomaly indicative that the particular user has interacted with a particular network device with which the particular user does not normally interact, based on the usage similarity scores and the classification metadata. | 1. A method comprising: receiving, by a computer system, first event data indicative of computer network activity of a plurality of users and network devices in a computer network; generating, by the computer system, classification metadata for each of the network devices and users, based on the first event data, to indicate relevance in a network security context of each of the users and network devices; identifying, by the computer system, usage relationships between one or more of the users and one or more of the network devices, based on first event data; assigning, by the computer system, usage similarity scores to the network devices based on the identified usage relationships, the usage similarity scores being indicative of which of the network devices have been used by the same or similar group of users; receiving, by the computer system, second event data indicative of computer network activity of a particular user of the plurality of users; and detecting, by the computer system and in response to the second event data, an anomaly indicative that the particular user has interacted with a particular network device with which the particular user does not normally interact, based on the usage similarity scores and the classification metadata. 24. The method of claim 1 , wherein the first event data is machine data. | 0.9635 |
8,756,058 | 1 | 6 | 1. A speech recognition system, comprising: a word speech recognition unit that converts input speech to a recognition result word sequence by using a predetermined word dictionary for recognition, the word dictionary including word entries arranged in a predetermined order; a syllable recognition unit that converts the input speech to a recognition result syllable sequence; a segment determination unit that determines a segment corresponding to an unknown word in the converted recognition result word sequence; and an output unit that obtains a partial syllable sequence corresponding to the determined segment from the recognition result syllable sequence, determines an ordered position of the partial syllable sequence in the word dictionary on the assumption that the partial syllable sequence exists in the word dictionary, and displays on a display device one or more word entries in the vicinity of the ordered position in the word dictionary, together with the recognition result word sequence, wherein the output unit displays the recognition result word sequence after replacing the recognition result word sequence with the partial syllable sequence with respect to the segment determined by the segment determination unit, and the output unit highlights the segment corresponding to the unknown word. | 1. A speech recognition system, comprising: a word speech recognition unit that converts input speech to a recognition result word sequence by using a predetermined word dictionary for recognition, the word dictionary including word entries arranged in a predetermined order; a syllable recognition unit that converts the input speech to a recognition result syllable sequence; a segment determination unit that determines a segment corresponding to an unknown word in the converted recognition result word sequence; and an output unit that obtains a partial syllable sequence corresponding to the determined segment from the recognition result syllable sequence, determines an ordered position of the partial syllable sequence in the word dictionary on the assumption that the partial syllable sequence exists in the word dictionary, and displays on a display device one or more word entries in the vicinity of the ordered position in the word dictionary, together with the recognition result word sequence, wherein the output unit displays the recognition result word sequence after replacing the recognition result word sequence with the partial syllable sequence with respect to the segment determined by the segment determination unit, and the output unit highlights the segment corresponding to the unknown word. 6. The speech recognition system according to claim 1 , wherein the output unit changes a range of the segment determined by the segment determination unit by an instruction of a user. | 0.700326 |
8,326,792 | 8 | 9 | 8. The method of claim 7 , wherein the model also includes relative importance values associated with at least some of the causes; and wherein the modifying includes changing the influence values as a function of the relative importance values, the one or more confidence levels, and the difference between the one or more desired effect values and the one or more corresponding output effect values. | 8. The method of claim 7 , wherein the model also includes relative importance values associated with at least some of the causes; and wherein the modifying includes changing the influence values as a function of the relative importance values, the one or more confidence levels, and the difference between the one or more desired effect values and the one or more corresponding output effect values. 9. The method of claim 8 , further comprising, prior to the providing the output, constructing the cause-and effect model, wherein the constructing includes: receiving from the user the matrix of causes and effects, wherein the matrix of causes and effects is entered into the computer using a graphical user interface of the computer; and receiving from the user the numerical influence values for the matrix. | 0.5 |
8,311,946 | 1 | 12 | 1. A computer-implemented method for user access to document content using a logic client device comprising: delivering, by a document server, to a user of said client logic device a first user viewable version of the actual contents of a specific document residing at said document server on a first cost basis; protecting, by a security server, said first user-viewable version to prevent the user from performing a standard operation on said version, said standard operation consisting of any of copying, printing, or saving; calculating, by a transaction server, a charge to permit the user to perform a requested standard operation on a user-selected portion of said specific document on a second cost basis; and delivering, by said document server, to said user a second version of the actual contents of said specific document residing at said document server comprising said user-selected portion of said specific document, wherein a user requested standard operation is completed in coordination with said document server upon payment of the calculated charge. | 1. A computer-implemented method for user access to document content using a logic client device comprising: delivering, by a document server, to a user of said client logic device a first user viewable version of the actual contents of a specific document residing at said document server on a first cost basis; protecting, by a security server, said first user-viewable version to prevent the user from performing a standard operation on said version, said standard operation consisting of any of copying, printing, or saving; calculating, by a transaction server, a charge to permit the user to perform a requested standard operation on a user-selected portion of said specific document on a second cost basis; and delivering, by said document server, to said user a second version of the actual contents of said specific document residing at said document server comprising said user-selected portion of said specific document, wherein a user requested standard operation is completed in coordination with said document server upon payment of the calculated charge. 12. The invention of claim 1 , wherein delivering the first user viewable version further comprises: delivering document content at a resolution sufficient for viewing but not for satisfactory completion of the requested standard operation. | 0.5 |
8,965,865 | 3 | 10 | 3. A method of identifying documents that include a searchable form relevant to a topic, the method comprising: (a) receiving a document at a computing device; (b) determining, by the computing device, if the received document comprises a form, wherein the form includes a field presented to a user requesting information from the user; (c) if the received document is determined to comprise a form, determining, by the computing device, if the form is a searchable form, wherein a searchable form returns non-trivial information to a requestor in response to a submission of the form; (d) if the form is determined to be a searchable form, determining, by the computing device, if the form is relevant to an identified topic; and (e) if the form is determined to be relevant to the identified topic, identifying, by the computing device, the document as a searchable form relevant to the identified topic. | 3. A method of identifying documents that include a searchable form relevant to a topic, the method comprising: (a) receiving a document at a computing device; (b) determining, by the computing device, if the received document comprises a form, wherein the form includes a field presented to a user requesting information from the user; (c) if the received document is determined to comprise a form, determining, by the computing device, if the form is a searchable form, wherein a searchable form returns non-trivial information to a requestor in response to a submission of the form; (d) if the form is determined to be a searchable form, determining, by the computing device, if the form is relevant to an identified topic; and (e) if the form is determined to be relevant to the identified topic, identifying, by the computing device, the document as a searchable form relevant to the identified topic. 10. The method of claim 3 , wherein determining if the form is relevant to an identified topic comprises analyzing text between markup language tags used to partition the form in the received document. | 0.85307 |
9,538,343 | 12 | 20 | 12. A device, comprising: a transceiver; and a processor to implement a voice engine, wherein the processor is to receive an incoming call from a caller's device using the transceiver, determine a locale preference associated with the caller's device, dynamically configure the voice engine using locale settings associated with the determined locale preference, send a query message to the caller's device using the transceiver, parse a voice response from the caller to the query message using the voice engine, and process the incoming call in the called device based on the voice response. | 12. A device, comprising: a transceiver; and a processor to implement a voice engine, wherein the processor is to receive an incoming call from a caller's device using the transceiver, determine a locale preference associated with the caller's device, dynamically configure the voice engine using locale settings associated with the determined locale preference, send a query message to the caller's device using the transceiver, parse a voice response from the caller to the query message using the voice engine, and process the incoming call in the called device based on the voice response. 20. The device of claim 12 , wherein device is configured in a private state when the incoming call is received. | 0.782946 |
8,326,785 | 5 | 7 | 5. The method of claim 1 further comprising, training the Boltzmann machine to use the similarity in ranking the relevance. | 5. The method of claim 1 further comprising, training the Boltzmann machine to use the similarity in ranking the relevance. 7. The method of claim 5 wherein training the Boltzmann machine comprises selecting clusters for the machine, and building the Boltzmann machine with each document and each cluster corresponding to one unit of the Boltzmann machine, with each document unit corresponding to document features, and with edges between each document unit and each cluster unit representing a correlation between that document's relevancy and that cluster's relevancy. | 0.5 |
8,799,351 | 26 | 27 | 26. The non-transitory computer readable storage medium of claim 19 , wherein the electronic file conforms to a public or private format for sharing information. | 26. The non-transitory computer readable storage medium of claim 19 , wherein the electronic file conforms to a public or private format for sharing information. 27. The non-transitory computer readable storage medium of claim 26 , wherein the format is portable document format (PDF). | 0.5 |
7,496,843 | 1 | 7 | 1. A system for constructing a controller and a model component of a web application, comprising: a plurality of business logic objects stored on a computer readable medium, wherein each of the plurality of business logic objects represents a corresponding table of a data store, and wherein attributes of each of the plurality of business logic objects represent columns in the corresponding table of the data store; a table extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of tables of the data store, wherein the extensible markup language definition of each table includes text identifying a table of the data store, text identifying columns of the identified table, and text defining an accessor method of one of the plurality of business logic objects that represent the identified table; an object extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of classes persisted in the data store that correspond with the plurality of business logic objects, wherein the extensible markup language definition of each of the classes associates the class with the text identifying the table of the data store which is included in one of the extensible markup language definitions of tables of the data store in the table extensible markup language file; wherein the model component comprises the table extensible markup language file, the object extensible markup language file, and at least some of the plurality of business logic objects stored in a session memory allocated to a specific web session of the web application, and wherein the model component, when the web application is executed on a web server, provides local access to data stored in the data store through the at least some of the plurality of business logic objects; a site flow file template stored on a computer readable medium, wherein the site flow file template is configured to serve as a baseline for deriving a site flow file that defines a site flow sequence, and a servlet template stored on a computer readable medium, wherein the servlet template is configured to serve as a baseline for deriving a servlet; wherein the controller component comprises the site flow file and the servlet, and wherein the servlet, when the web application is executed on the web server, parses the table extensible markup language file and the object extensible markup language file, and establishes associations between the at least some of the plurality of business logic objects and corresponding objects persisted in the data store, wherein the servlet further receives a request from a client application, processes the request based on the site flow file, and accesses data through the model component to generate a response to the request, and when accessing the corresponding objects persisted in the data store, the servlet dynamically generates SQL commands based on the associations. | 1. A system for constructing a controller and a model component of a web application, comprising: a plurality of business logic objects stored on a computer readable medium, wherein each of the plurality of business logic objects represents a corresponding table of a data store, and wherein attributes of each of the plurality of business logic objects represent columns in the corresponding table of the data store; a table extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of tables of the data store, wherein the extensible markup language definition of each table includes text identifying a table of the data store, text identifying columns of the identified table, and text defining an accessor method of one of the plurality of business logic objects that represent the identified table; an object extensible markup language file stored on a computer readable medium that provides extensible markup language definitions of classes persisted in the data store that correspond with the plurality of business logic objects, wherein the extensible markup language definition of each of the classes associates the class with the text identifying the table of the data store which is included in one of the extensible markup language definitions of tables of the data store in the table extensible markup language file; wherein the model component comprises the table extensible markup language file, the object extensible markup language file, and at least some of the plurality of business logic objects stored in a session memory allocated to a specific web session of the web application, and wherein the model component, when the web application is executed on a web server, provides local access to data stored in the data store through the at least some of the plurality of business logic objects; a site flow file template stored on a computer readable medium, wherein the site flow file template is configured to serve as a baseline for deriving a site flow file that defines a site flow sequence, and a servlet template stored on a computer readable medium, wherein the servlet template is configured to serve as a baseline for deriving a servlet; wherein the controller component comprises the site flow file and the servlet, and wherein the servlet, when the web application is executed on the web server, parses the table extensible markup language file and the object extensible markup language file, and establishes associations between the at least some of the plurality of business logic objects and corresponding objects persisted in the data store, wherein the servlet further receives a request from a client application, processes the request based on the site flow file, and accesses data through the model component to generate a response to the request, and when accessing the corresponding objects persisted in the data store, the servlet dynamically generates SQL commands based on the associations. 7. The system of claim 1 wherein the controller component further includes a function library providing a plurality of utilities for use by the servlet. | 0.893108 |
8,825,692 | 1 | 6 | 1. A method of localizing a computer program, comprising: receiving from a user via a browser interface a customized translation for one or more corresponding base text strings, wherein each customized translation comprises a text string that has been translated by the user into a translated spoken language from a different original spoken language, each of the base text strings being an original translation of the text string in the translated spoken language that is different than the corresponding customized translation, each of the one or more base text strings being contained in a base translation library; merging each customized translation with the base translation library such that each customized translation replaces the corresponding base text string in the base translation library; compiling the merged base translation library into a custom translation library; and digitally signing the custom translation library with a private encryption key so that it can be used with the computer program in a local workspace of the user without requiring user access to the private encryption key. | 1. A method of localizing a computer program, comprising: receiving from a user via a browser interface a customized translation for one or more corresponding base text strings, wherein each customized translation comprises a text string that has been translated by the user into a translated spoken language from a different original spoken language, each of the base text strings being an original translation of the text string in the translated spoken language that is different than the corresponding customized translation, each of the one or more base text strings being contained in a base translation library; merging each customized translation with the base translation library such that each customized translation replaces the corresponding base text string in the base translation library; compiling the merged base translation library into a custom translation library; and digitally signing the custom translation library with a private encryption key so that it can be used with the computer program in a local workspace of the user without requiring user access to the private encryption key. 6. The method of claim 1 , wherein the base translation library further includes original text strings in the original spoken language corresponding to the base text strings. | 0.728125 |
9,785,866 | 16 | 17 | 16. One or more computer storage media encoded with instructions that, when executed by a processor, configure a computer to perform acts comprising: accessing a corpus of multimedia data items, the corpus of multimedia data items including positive multimedia data items and negative multimedia data items, wherein: individual positive multimedia data items of the positive multimedia data items are associated with individual labels of a plurality of labels; and the negative multimedia data items are not associated with any label of the plurality of labels; extracting a first set of features from the individual positive multimedia data items; training a classifier based at least in part on the first set of features, the classifier including a plurality of model vectors each corresponding to one of the individual labels; based at least in part on applying the classifier to one or more of the individual positive multimedia data items, collecting statistics corresponding to each of the individual labels; extracting a second set of features from a new multimedia data item; applying the classifier to the second set of features to determine similarity values corresponding to each of the individual labels; determining that the new multimedia data item is one of the negative multimedia data items; based at least in part on determining that the new multimedia data item is one of the negative multimedia data items, comparing the statistics with the similarity values corresponding to each of the individual labels; and based at least in part on comparing the statistics with the similarity values, updating individual model vectors of the plurality of model vectors. | 16. One or more computer storage media encoded with instructions that, when executed by a processor, configure a computer to perform acts comprising: accessing a corpus of multimedia data items, the corpus of multimedia data items including positive multimedia data items and negative multimedia data items, wherein: individual positive multimedia data items of the positive multimedia data items are associated with individual labels of a plurality of labels; and the negative multimedia data items are not associated with any label of the plurality of labels; extracting a first set of features from the individual positive multimedia data items; training a classifier based at least in part on the first set of features, the classifier including a plurality of model vectors each corresponding to one of the individual labels; based at least in part on applying the classifier to one or more of the individual positive multimedia data items, collecting statistics corresponding to each of the individual labels; extracting a second set of features from a new multimedia data item; applying the classifier to the second set of features to determine similarity values corresponding to each of the individual labels; determining that the new multimedia data item is one of the negative multimedia data items; based at least in part on determining that the new multimedia data item is one of the negative multimedia data items, comparing the statistics with the similarity values corresponding to each of the individual labels; and based at least in part on comparing the statistics with the similarity values, updating individual model vectors of the plurality of model vectors. 17. One or more computer storage media as claim 16 recites, the acts further comprising: receiving a second new multimedia data item associated with a first label of the plurality of labels; extracting a third set of features from the second new multimedia data item; applying the classifier to the third set of features; based at least in part on applying the classifier to the third set of features, determining new similarity values corresponding to each of the individual labels; determining that the second new multimedia data item is one of the positive multimedia data items; determining that the classifier classified the second new multimedia data item as being associated with a second label of the plurality of labels, the second label being different from the first label; and adjusting at least two of the individual model vectors based at least in part on: scaling down a first individual model vector of the individual model vectors, the first individual model vector associated with the second label; and scaling up a second individual model vector of the individual model vectors, the second individual model vector associated with the first label. | 0.5 |
9,002,887 | 21 | 24 | 21. A non-transitory computer-readable medium storing instructions for controlling a computing device to generate advertisement sets based on analysis of external referrals to a web site, the instructions when executed by a processing device causing the processing device to: collect information from an external source that is external to the computing device and that refers visitors of the referring source to the website, the information corresponding to referrals by the external source to visit the website, each referral comprising referral information corresponding to a request for additional content that is sent responsive to user interaction with content of the external source and that resulted in the visit to the website; for each referral, identify a referral type based at least in part upon a unique combination of a landing page type of the referral and one or more elements selected from a referring source identifier and a product identifier, the landing page type identifying a type of landing page that is displayed in response to user interaction with the referral; collect financial information relating to each visit referred by the external source; aggregate referral information for each referral type, the aggregated referral information including financial information for the referrals; and for at least one referral type, generate, based at least in part upon the aggregated referral information, an advertisement set for the referral type that includes a link corresponding to the landing page type of the referral type when the financial information for the referral type satisfies an advertisement criterion, the advertisement set having an associated link including a query string corresponding to the referral type; and submit the generated advertisement set for placement. | 21. A non-transitory computer-readable medium storing instructions for controlling a computing device to generate advertisement sets based on analysis of external referrals to a web site, the instructions when executed by a processing device causing the processing device to: collect information from an external source that is external to the computing device and that refers visitors of the referring source to the website, the information corresponding to referrals by the external source to visit the website, each referral comprising referral information corresponding to a request for additional content that is sent responsive to user interaction with content of the external source and that resulted in the visit to the website; for each referral, identify a referral type based at least in part upon a unique combination of a landing page type of the referral and one or more elements selected from a referring source identifier and a product identifier, the landing page type identifying a type of landing page that is displayed in response to user interaction with the referral; collect financial information relating to each visit referred by the external source; aggregate referral information for each referral type, the aggregated referral information including financial information for the referrals; and for at least one referral type, generate, based at least in part upon the aggregated referral information, an advertisement set for the referral type that includes a link corresponding to the landing page type of the referral type when the financial information for the referral type satisfies an advertisement criterion, the advertisement set having an associated link including a query string corresponding to the referral type; and submit the generated advertisement set for placement. 24. The non-transitory computer-readable medium of claim 21 wherein the advertisement criterion is based on a converting visits threshold. | 0.589286 |
9,652,695 | 14 | 16 | 14. A system comprising: a data storage device storing machine readable instructions; and a processor that interacts with the data storage device and executes the machine readable instructions, wherein execution of the machine readable instructions cause the processor to perform operations comprising: obtaining, by one or more computers and for a first object in an image, a first set of text labels using visual data extracted from the image; obtaining, by the one or more computers and for a second object in the image, a second set of text labels using the visual data extracted from the image; generating, for various pairs of text labels, a relation score based on a number of co-occurrences of the text labels in text of web pages, wherein each pair of text labels includes a text label from the first set and a text label from the second set; and labeling, by the one or more computers, the image with a given pair of text labels, from among the various pairs of text labels, based on solving a global optimization problem utilizing at least the relation score, wherein the relation score for the given pair of text labels meets a specified threshold relation score. | 14. A system comprising: a data storage device storing machine readable instructions; and a processor that interacts with the data storage device and executes the machine readable instructions, wherein execution of the machine readable instructions cause the processor to perform operations comprising: obtaining, by one or more computers and for a first object in an image, a first set of text labels using visual data extracted from the image; obtaining, by the one or more computers and for a second object in the image, a second set of text labels using the visual data extracted from the image; generating, for various pairs of text labels, a relation score based on a number of co-occurrences of the text labels in text of web pages, wherein each pair of text labels includes a text label from the first set and a text label from the second set; and labeling, by the one or more computers, the image with a given pair of text labels, from among the various pairs of text labels, based on solving a global optimization problem utilizing at least the relation score, wherein the relation score for the given pair of text labels meets a specified threshold relation score. 16. The system of claim 14 , wherein the instructions cause the processor to perform actions further comprising designating a label for the first object based on a regularization factor. | 0.704762 |
8,447,608 | 29 | 30 | 29. The system of claim 28 , where the one or more source texts are structured documents and the processing includes removing tags indicating document structure. | 29. The system of claim 28 , where the one or more source texts are structured documents and the processing includes removing tags indicating document structure. 30. The system of claim 29 , where the one or more source texts are in XML format. | 0.5 |
8,464,216 | 10 | 11 | 10. The apparatus of claim 1 , wherein the markup language document is an extensible markup language (XML) document. | 10. The apparatus of claim 1 , wherein the markup language document is an extensible markup language (XML) document. 11. The apparatus of claim 10 , wherein when the XML document is associated with a plurality of markup language grammars, each one of the plurality of markup language grammars is associated with a namespace and, for a particular markup language grammar element associated with a particular namespace, assistance related to the particular markup language grammar element is provided to the user based on the markup language grammar associated with the particular namespace. | 0.5 |
8,081,827 | 1 | 7 | 1. A method comprising: extracting one or more features corresponding to one or more objects from a file containing two or more codestreams for a selected viewport of a page of the file, including extracting at least one of the one or more features without decoding; predicting a next viewport of the page from a plurality of different viewports based on a relationship of the next viewport to the selected viewport within the page, the predicted next viewport including one or more predicted objects from the file; ranking document objects based on a task being performed by an application, the one or more extracted features, and an overlap of document objects with the selected viewport that is to be displayed; selecting a set of the document objects based on rank and at least one constraint for the selected viewport; ranking the one or more predicted objects based on the task being performed by the application, the one or more extracted features for the document objects, and a probability that document objects overlap two or more of a plurality of different potential next viewports; and selecting a second set of document objects based on the predicted next viewport of the page and the ranking of the one or more predicted objects without receiving a client request associated with the predicted next viewport. | 1. A method comprising: extracting one or more features corresponding to one or more objects from a file containing two or more codestreams for a selected viewport of a page of the file, including extracting at least one of the one or more features without decoding; predicting a next viewport of the page from a plurality of different viewports based on a relationship of the next viewport to the selected viewport within the page, the predicted next viewport including one or more predicted objects from the file; ranking document objects based on a task being performed by an application, the one or more extracted features, and an overlap of document objects with the selected viewport that is to be displayed; selecting a set of the document objects based on rank and at least one constraint for the selected viewport; ranking the one or more predicted objects based on the task being performed by the application, the one or more extracted features for the document objects, and a probability that document objects overlap two or more of a plurality of different potential next viewports; and selecting a second set of document objects based on the predicted next viewport of the page and the ranking of the one or more predicted objects without receiving a client request associated with the predicted next viewport. 7. The method defined in claim 1 wherein the file comprises a PDF file with a coordinate transform matrix for each object on a page, and further comprising generating a bit allocation for each bounding box. | 0.755344 |
7,698,635 | 1 | 7 | 1. A method of generating a customized document about a product, the product comprising a plurality of components, the method comprising: a) providing a user with a document manager input interface on a computer, the input interface including a template manager module, a data pools manager module, an automatic text generator module, a document editor module, an effectivity interface module, and a document builder module; b) on the computer, defining a template based on a plurality of predefined data elements arranged in a tree-like data structure using the template manager module, the predefined data elements being retrieved from a parts library contained in the document builder module and defining parts and sections to be listed in the template; c) on the computer, creating the customized document from the defined template using the document builder module; d) on the computer, editing the customized document using the document editor module by using content-specific pull-down menus on the computer to edit one or more of the predefined data elements and thereby generating revised data elements and storing the revised data elements in a relational database storing the customized document; e) on the computer, deconstructing the syntax of textual data elements that are syntactically joined with linguistic rules, specifying a category in which to place a business rule, generating one or more tasks associated with a business rule and applying the business rule to the textual data elements of the document using the automatic text generator module; f) on the computer, modifying data that is standard in particular data structures and customizing the data for particular applications using a data pools manager module; g) on the computer, establishing effectivity associations, using the effectivity interface module, for a given component of the product, defining the manner in which a change to a given component is propagated throughout the customized document; h) in response to a user making the change to the given component via the effectivity interface module, propagating the change throughout the customized document according to the effectivity associations established by the user; i) synthesizing text from the revised data elements according to the (i) the structure defined be the template manager module, (ii) the edits made using the document editor module; (iii) the business rule applied by the user using the automatic text generator module, (iv) the customization data provided by the data pools manager module, and (v) the effectivity associations established by the user; and j) generating and publishing the customized document. | 1. A method of generating a customized document about a product, the product comprising a plurality of components, the method comprising: a) providing a user with a document manager input interface on a computer, the input interface including a template manager module, a data pools manager module, an automatic text generator module, a document editor module, an effectivity interface module, and a document builder module; b) on the computer, defining a template based on a plurality of predefined data elements arranged in a tree-like data structure using the template manager module, the predefined data elements being retrieved from a parts library contained in the document builder module and defining parts and sections to be listed in the template; c) on the computer, creating the customized document from the defined template using the document builder module; d) on the computer, editing the customized document using the document editor module by using content-specific pull-down menus on the computer to edit one or more of the predefined data elements and thereby generating revised data elements and storing the revised data elements in a relational database storing the customized document; e) on the computer, deconstructing the syntax of textual data elements that are syntactically joined with linguistic rules, specifying a category in which to place a business rule, generating one or more tasks associated with a business rule and applying the business rule to the textual data elements of the document using the automatic text generator module; f) on the computer, modifying data that is standard in particular data structures and customizing the data for particular applications using a data pools manager module; g) on the computer, establishing effectivity associations, using the effectivity interface module, for a given component of the product, defining the manner in which a change to a given component is propagated throughout the customized document; h) in response to a user making the change to the given component via the effectivity interface module, propagating the change throughout the customized document according to the effectivity associations established by the user; i) synthesizing text from the revised data elements according to the (i) the structure defined be the template manager module, (ii) the edits made using the document editor module; (iii) the business rule applied by the user using the automatic text generator module, (iv) the customization data provided by the data pools manager module, and (v) the effectivity associations established by the user; and j) generating and publishing the customized document. 7. The method of claim 1 , wherein publishing the customized document comprises: converting the customized document into an extensible markup language document; forwarding the extensible markup language document to an extensible stylesheet transform; and outputting the extensible markup language document from the extensible stylesheet transform as a published document. | 0.5 |
9,940,317 | 1 | 11 | 1. A sentence parsing correction system comprising a computer processor, a display operatively linked therewith, and a user action element to effectuate select user actions in relation to display objects of said display, via user control and action signals, said computer processor receiving an input sentence signal encoding characters comprising a sentence and generating therefrom a meta-tag listing of text of the sentence and providing, according to a preselected parsing algorithm, an initial meta-tag listing signal encoding a parsed version of a noun, a verb, and phrases of the sentence, said computer processor selectively configurable as a display element in furtherance of receiving said initial meta-tag listing signal, and producing a parsed image display signal for displaying upon said display, said parsed image display signal displayed upon said display such that the text of the sentence is arranged in original text order, and has, on successive lines, the noun, the verb, and phrases of the sentence with indentations specifying parsing relationships among them, said computer processor further selectively configurable as a format element in furtherance of receiving said parsed image display signal, and creating a unique expandable container image for each phrase of the phrases of the sentence in an expandable container format, said expandable container format encoded in an expandable container format signal, said computer further selectively configurable as a correction element in furtherance of receiving said expandable container format signal and said user control and action signals, selecting a display object of said display objects wherein said display object comprises a unique expandable container image of a phrase of the phrases of the sentence, and altering a property of said display object and/or a relationship for said display object relative to other display objects and thereafter providing a display signal creating an image in furtherance of producing a final parsed image display signal creating on said display an altered parsing characterized by a topology for and between each unique expandable container image relative to other unique expandable container images wherein the sentence text has, on successive lines, the noun, the verb, and prepositional phrases of the sentence with indentations specifying the altered parsing. | 1. A sentence parsing correction system comprising a computer processor, a display operatively linked therewith, and a user action element to effectuate select user actions in relation to display objects of said display, via user control and action signals, said computer processor receiving an input sentence signal encoding characters comprising a sentence and generating therefrom a meta-tag listing of text of the sentence and providing, according to a preselected parsing algorithm, an initial meta-tag listing signal encoding a parsed version of a noun, a verb, and phrases of the sentence, said computer processor selectively configurable as a display element in furtherance of receiving said initial meta-tag listing signal, and producing a parsed image display signal for displaying upon said display, said parsed image display signal displayed upon said display such that the text of the sentence is arranged in original text order, and has, on successive lines, the noun, the verb, and phrases of the sentence with indentations specifying parsing relationships among them, said computer processor further selectively configurable as a format element in furtherance of receiving said parsed image display signal, and creating a unique expandable container image for each phrase of the phrases of the sentence in an expandable container format, said expandable container format encoded in an expandable container format signal, said computer further selectively configurable as a correction element in furtherance of receiving said expandable container format signal and said user control and action signals, selecting a display object of said display objects wherein said display object comprises a unique expandable container image of a phrase of the phrases of the sentence, and altering a property of said display object and/or a relationship for said display object relative to other display objects and thereafter providing a display signal creating an image in furtherance of producing a final parsed image display signal creating on said display an altered parsing characterized by a topology for and between each unique expandable container image relative to other unique expandable container images wherein the sentence text has, on successive lines, the noun, the verb, and prepositional phrases of the sentence with indentations specifying the altered parsing. 11. The system of claim 1 wherein said expandable container format signal delimits a topologic relationship of/for each expandable container image relative to other expandable container images specifying the initial parsing. | 0.676301 |
9,930,173 | 1 | 6 | 1. A system for detecting a three-way call in a monitored telephone conversation, the system comprising: one or more circuits configured to: retrieve content of the monitored telephone conversation from a file storage system; generate a domain specific language model associated with a participant of the monitored telephone conversation; convert a spoken audio of the content of the monitored telephone conversation to a transcript using the domain specific language model; detect a first audio characteristic at a first timing and a second audio characteristic at a second timing through an analysis of the content of the monitored telephone conversation, including analysis of at least one of the spoken audio and the transcript of the monitored telephone conversation; assign a first value of the first audio characteristic based on a predefined importance of the first audio characteristic; assign a second value of the second audio characteristic based on a predefined importance of the second audio characteristic and a temporal difference between the first timing and the second timing; and detect the three-way call based on the first value and the second value, wherein the first audio characteristic and the second audio characteristic are indicators of the three-way call. | 1. A system for detecting a three-way call in a monitored telephone conversation, the system comprising: one or more circuits configured to: retrieve content of the monitored telephone conversation from a file storage system; generate a domain specific language model associated with a participant of the monitored telephone conversation; convert a spoken audio of the content of the monitored telephone conversation to a transcript using the domain specific language model; detect a first audio characteristic at a first timing and a second audio characteristic at a second timing through an analysis of the content of the monitored telephone conversation, including analysis of at least one of the spoken audio and the transcript of the monitored telephone conversation; assign a first value of the first audio characteristic based on a predefined importance of the first audio characteristic; assign a second value of the second audio characteristic based on a predefined importance of the second audio characteristic and a temporal difference between the first timing and the second timing; and detect the three-way call based on the first value and the second value, wherein the first audio characteristic and the second audio characteristic are indicators of the three-way call. 6. The system of claim 1 , wherein the first audio characteristic represents a detection of a spoken phone number during the monitored telephone conversation, and wherein the second audio characteristic represents a gap in speech during the monitored telephone conversation. | 0.695556 |
9,367,603 | 9 | 13 | 9. A non-transitory computer readable medium comprising computer executable instructions, for when executed by one or more processors are configured for analyzing data from a plurality of users within a social data network, said computer executable instructions configured for: receiving, via a communication device, a query for a topic associated with the social data network; responsive to the query, accessing a data store that stores the data from the plurality of users to determine a set of users in the social data network having at least one social networking behaviour on the social data network related to the queried topic, and determining the set of users further comprises segmenting the set of users from the plurality of users in accordance with at least one common attribute of the social networking behaviour related to the queried topic; for each user from the set of users, applying text processing to posts for each user to extract a list of topic words and associating each of the topic words with the respective user, the posts obtained by accessing the data store; for each user, segmenting each of the topic words into letter segments and computing a statistical likelihood value of each of the letter segments for the respective user; using the statistical likelihood values of each of the letter segments, clustering the topic words to define a plurality of clusters and determining a mapping from each user to at least one of the plurality of clusters; labeling each cluster with one or more highest ranked topic words within the respective cluster used by users mapped to the respective cluster; and outputting the one or more highest ranked topic words mapped to each cluster via the communication device. | 9. A non-transitory computer readable medium comprising computer executable instructions, for when executed by one or more processors are configured for analyzing data from a plurality of users within a social data network, said computer executable instructions configured for: receiving, via a communication device, a query for a topic associated with the social data network; responsive to the query, accessing a data store that stores the data from the plurality of users to determine a set of users in the social data network having at least one social networking behaviour on the social data network related to the queried topic, and determining the set of users further comprises segmenting the set of users from the plurality of users in accordance with at least one common attribute of the social networking behaviour related to the queried topic; for each user from the set of users, applying text processing to posts for each user to extract a list of topic words and associating each of the topic words with the respective user, the posts obtained by accessing the data store; for each user, segmenting each of the topic words into letter segments and computing a statistical likelihood value of each of the letter segments for the respective user; using the statistical likelihood values of each of the letter segments, clustering the topic words to define a plurality of clusters and determining a mapping from each user to at least one of the plurality of clusters; labeling each cluster with one or more highest ranked topic words within the respective cluster used by users mapped to the respective cluster; and outputting the one or more highest ranked topic words mapped to each cluster via the communication device. 13. The non-transitory computer readable medium of claim 9 , wherein selecting for each user a pre-defined number of posts and associating with the respective user further comprises: modeling each user in the set of users as a node and determining a list of topics for each user; extracting text from the posts and filtering out irrelevant topics by performing text processing for each topic associated with each user to output the list of topic words; and, providing a relationship mapping between the topic words and the corresponding user associated with a respective topic word. | 0.5 |
9,201,592 | 7 | 21 | 7. The method of claim 4 , further comprising: determining whether the second handwritten input comprises at least one of a strikethrough input or a leaping input; and identifying the candidate word associated with a maximum of the rankings as the selected candidate word, when the second handwritten input includes at least one of the strikethrough input or the leaping input. | 7. The method of claim 4 , further comprising: determining whether the second handwritten input comprises at least one of a strikethrough input or a leaping input; and identifying the candidate word associated with a maximum of the rankings as the selected candidate word, when the second handwritten input includes at least one of the strikethrough input or the leaping input. 21. The method of claim 7 , wherein the strikethrough input or the leaping input is in line with the first handwritten input comprising the at least one handwritten character in the text input region. | 0.69697 |
8,175,864 | 17 | 18 | 17. The system of claim 15 , where generating a plurality of randomized ranked collections of n-grams further comprises: generating a probability matrix for each n-gram from the first and the second collections of n-grams using a first collection of text in the first natural language and a second collection of text in the second natural language, where the probability matrix for a particular n-gram identifies a probability for each of four categories: a probability that the n gram is not found in either the first or second collection of text, a probability that the n gram is found in the first collection of text but not the second collection of text; a probability that the n gram is found in the second collection of text but not the first collection of text, and a probability that the n-gram is found in both the first and second collection of text; and generating a ranked collection of n-grams for each of the first natural language and the second natural language as a function of the generated probability matrix for each n-gram of the respective natural language. | 17. The system of claim 15 , where generating a plurality of randomized ranked collections of n-grams further comprises: generating a probability matrix for each n-gram from the first and the second collections of n-grams using a first collection of text in the first natural language and a second collection of text in the second natural language, where the probability matrix for a particular n-gram identifies a probability for each of four categories: a probability that the n gram is not found in either the first or second collection of text, a probability that the n gram is found in the first collection of text but not the second collection of text; a probability that the n gram is found in the second collection of text but not the first collection of text, and a probability that the n-gram is found in both the first and second collection of text; and generating a ranked collection of n-grams for each of the first natural language and the second natural language as a function of the generated probability matrix for each n-gram of the respective natural language. 18. The system of claim 17 , where the position of a particular n-gram in each ranked collection of n-grams is a randomized function of a reliability and a rarity of the particular n gram within the collection of texts. | 0.5 |
6,113,540 | 21 | 26 | 21. A method of providing information to a patient for use in a medical diagnostic and treatment advice system comprising a computer, wherein an input and an output device connect to the computer, the method comprising: transmitting information to the patient by the output device; receiving information from the patient by the input device; selectively executing one of a plurality of medical complaint algorithms based on at least a portion of the received information; scoring at least a portion of the received information; and diagnosing a medical condition associated with the executed medical complaint algorithm based upon a comparison of the score and a threshold. | 21. A method of providing information to a patient for use in a medical diagnostic and treatment advice system comprising a computer, wherein an input and an output device connect to the computer, the method comprising: transmitting information to the patient by the output device; receiving information from the patient by the input device; selectively executing one of a plurality of medical complaint algorithms based on at least a portion of the received information; scoring at least a portion of the received information; and diagnosing a medical condition associated with the executed medical complaint algorithm based upon a comparison of the score and a threshold. 26. The method defined in claim 21, additionally comprising associating each of the plurality of medical complaint algorithms with one or more medical conditions. | 0.539773 |
9,047,339 | 15 | 19 | 15. A non-transitory computer-readable medium storing instructions, the instructions comprising: a plurality of instructions which, when executed by one or more processors, cause the one or more processors to: receive a search query, the search query including a plurality of search terms; determine that one or more search terms, of the plurality of search terms, are associated with a particular domain name, the particular domain name including the one or more search terms; cause a search of a plurality of documents to be performed based on determining that the one or more search terms are associated with the particular domain name, the plurality of documents being associated with the particular domain name, one or more documents, of the plurality of documents, being identified based on the search being performed, the one or more documents being relevant to one or more other search terms of the plurality of search terms; and provide, as one or more search results, information identifying the one or more documents. | 15. A non-transitory computer-readable medium storing instructions, the instructions comprising: a plurality of instructions which, when executed by one or more processors, cause the one or more processors to: receive a search query, the search query including a plurality of search terms; determine that one or more search terms, of the plurality of search terms, are associated with a particular domain name, the particular domain name including the one or more search terms; cause a search of a plurality of documents to be performed based on determining that the one or more search terms are associated with the particular domain name, the plurality of documents being associated with the particular domain name, one or more documents, of the plurality of documents, being identified based on the search being performed, the one or more documents being relevant to one or more other search terms of the plurality of search terms; and provide, as one or more search results, information identifying the one or more documents. 19. The non-transitory computer-readable medium of claim 15 , where one or more instructions, of the plurality of instructions, to determine that the one or more search terms are associated with the particular domain name include: one or more instructions to determine that the one or more search terms match information identifying a particularly entity, the information identifying the particular entity being included in a data structure, and the data structure including information identifying a plurality of entities, the plurality of entities including the particular entity. | 0.5 |
8,548,153 | 1 | 3 | 1. A method for implementing customized rules for controlling incoming customer communications, comprising: providing an initial menu for customizing rules for controlling incoming customer communications, the initial menu including a selectable option to modify an existing customized rule for controlling incoming customer communications and a selectable option to create a new customized rule for controlling incoming customer communications; processing a request to create a new customized rule for controlling incoming customer communications, wherein the new customized rule is configured to challenge a source of inbound communications for information configured to authorize the inbound communications; providing an initial selection criteria menu to create the new customized rule for controlling incoming customer communications, the initial selection criteria menu indicating whether the new customized rule will be built using a preexisting template or starting from initial blank rule criteria; processing a response indicating whether the new customized rule will be built using a preexisting template or starting from initial blank rule criteria; when the new customized rule will be built using a preexisting template, providing a list of preexisting templates for creating new customized rules for controlling incoming customer communications, processing a received selection of a preexisting template from the list of preexisting templates, accepting input to populate the selected preexisting template, and storing a new customized rule based on the selected preexisting template and including accepted input, wherein the stored new customized rule is specified to apply to inbound communications; and when the new customized rule will be built starting from initial blank rule criteria, providing initial blank rule criteria for creating a new customized rule for controlling incoming customer communications, processing a received selection of initial criteria from the initial blank rule criteria, providing a list of rule conditions for the selected initial criteria for the new customized rule, processing a received selection of rule conditions for the selected initial criteria for the new customized rule, and creating and storing a new customized rule based on the selected initial criteria and the selected rule conditions; and wherein the stored new customized rule is implemented at an internal network node of a communications service provider to process communications in accordance with requests and selections received from customers using customer equipment, and wherein the stored new customized rule further includes a selected disposition for when the selected initial criteria and selected rule conditions are met. | 1. A method for implementing customized rules for controlling incoming customer communications, comprising: providing an initial menu for customizing rules for controlling incoming customer communications, the initial menu including a selectable option to modify an existing customized rule for controlling incoming customer communications and a selectable option to create a new customized rule for controlling incoming customer communications; processing a request to create a new customized rule for controlling incoming customer communications, wherein the new customized rule is configured to challenge a source of inbound communications for information configured to authorize the inbound communications; providing an initial selection criteria menu to create the new customized rule for controlling incoming customer communications, the initial selection criteria menu indicating whether the new customized rule will be built using a preexisting template or starting from initial blank rule criteria; processing a response indicating whether the new customized rule will be built using a preexisting template or starting from initial blank rule criteria; when the new customized rule will be built using a preexisting template, providing a list of preexisting templates for creating new customized rules for controlling incoming customer communications, processing a received selection of a preexisting template from the list of preexisting templates, accepting input to populate the selected preexisting template, and storing a new customized rule based on the selected preexisting template and including accepted input, wherein the stored new customized rule is specified to apply to inbound communications; and when the new customized rule will be built starting from initial blank rule criteria, providing initial blank rule criteria for creating a new customized rule for controlling incoming customer communications, processing a received selection of initial criteria from the initial blank rule criteria, providing a list of rule conditions for the selected initial criteria for the new customized rule, processing a received selection of rule conditions for the selected initial criteria for the new customized rule, and creating and storing a new customized rule based on the selected initial criteria and the selected rule conditions; and wherein the stored new customized rule is implemented at an internal network node of a communications service provider to process communications in accordance with requests and selections received from customers using customer equipment, and wherein the stored new customized rule further includes a selected disposition for when the selected initial criteria and selected rule conditions are met. 3. The method according to claim 1 , wherein at least one rule condition specifies at least one entry in an electronic address book. | 0.740157 |
9,400,835 | 1 | 2 | 1. A method, comprising: locating at least one data element matching a user query of a predefined relational database; extending results of the user query with weighted relevant data elements, the weighted relevant data elements being data elements having been identified as relevant based on participation in one or more relationships in which the at least one data element participates in the predefined relational database, and provided a relative weighting according to a degree of relationship to the at least one data element; prior to the locating of the at least one data element, calculating global weights and centrality scores for entities of the predefined relational database, wherein each entity comprises a data element; locating images for a result set, at least one image representative of the at least one data element matching the user query and at least one image representative of the one or more weighted data elements; and creating, using the images located for the result set, a composited image, the composited image created using at least one domain-specific visual template, the composited image comprising the at least one image representative of the at least one data element matching the user query and the at least one image representative of the one or more weighted relevant data elements, wherein the composited image rendered such that the at least one image representative of the at least one data element matching the user query having visual primacy and the at least one image representative of the one or more weighted data elements being marginalized in accordance with the relative weighting of the relevant data elements, and wherein the at least one image representative of the one or more weighted relevant data elements not explicitly matched by the user query, identified as relevant due to being located via the extension of the user query, and having the relative weighting subsequently penalized accordingly, causing marginalization in the composited image and enabling the at least one image representative of the at least one data element matching the user query to maintain visual primacy in the composited image. | 1. A method, comprising: locating at least one data element matching a user query of a predefined relational database; extending results of the user query with weighted relevant data elements, the weighted relevant data elements being data elements having been identified as relevant based on participation in one or more relationships in which the at least one data element participates in the predefined relational database, and provided a relative weighting according to a degree of relationship to the at least one data element; prior to the locating of the at least one data element, calculating global weights and centrality scores for entities of the predefined relational database, wherein each entity comprises a data element; locating images for a result set, at least one image representative of the at least one data element matching the user query and at least one image representative of the one or more weighted data elements; and creating, using the images located for the result set, a composited image, the composited image created using at least one domain-specific visual template, the composited image comprising the at least one image representative of the at least one data element matching the user query and the at least one image representative of the one or more weighted relevant data elements, wherein the composited image rendered such that the at least one image representative of the at least one data element matching the user query having visual primacy and the at least one image representative of the one or more weighted data elements being marginalized in accordance with the relative weighting of the relevant data elements, and wherein the at least one image representative of the one or more weighted relevant data elements not explicitly matched by the user query, identified as relevant due to being located via the extension of the user query, and having the relative weighting subsequently penalized accordingly, causing marginalization in the composited image and enabling the at least one image representative of the at least one data element matching the user query to maintain visual primacy in the composited image. 2. The method of claim 1 , wherein the domain-specific visual template comprises an Extensible Markup Language template. | 0.82659 |
9,639,519 | 8 | 9 | 8. The apparatus of claim 1 , wherein the tokens stored in the digital dictionary include different file type identifiers. | 8. The apparatus of claim 1 , wherein the tokens stored in the digital dictionary include different file type identifiers. 9. The apparatus of claim 8 , wherein the different file type identifiers include a joint photographic experts group (JPEG) file type identifier and a graphics interchange format (GIF) file type identifier. | 0.5 |
6,041,293 | 13 | 18 | 13. A computer readable medium that stores a program for executing a document processing method comprising: a first word extracting step for extracting a first word from document data; a preceding/subsequent word extracting step for extracting, from the document data, a second word that is one of a preceding word and a subsequent word of the first word; a keyword extracting step for extracting a keyword of the document data, based on a frequency of occurrence of the first word, wherein said keyword extracting step includes a word counting step of counting a number of occurrences of each word, other than unnecessary words which are pre-excluded from being keywords, in the document data, said keyword extracting step extracting a word having a high number of occurrences, counted by said word counting step, as the keyword; and a translation step for translating the keyword into a predetermined language by referring to a dictionary in a process that considers a meaning of the first and second words existing together in the document data. | 13. A computer readable medium that stores a program for executing a document processing method comprising: a first word extracting step for extracting a first word from document data; a preceding/subsequent word extracting step for extracting, from the document data, a second word that is one of a preceding word and a subsequent word of the first word; a keyword extracting step for extracting a keyword of the document data, based on a frequency of occurrence of the first word, wherein said keyword extracting step includes a word counting step of counting a number of occurrences of each word, other than unnecessary words which are pre-excluded from being keywords, in the document data, said keyword extracting step extracting a word having a high number of occurrences, counted by said word counting step, as the keyword; and a translation step for translating the keyword into a predetermined language by referring to a dictionary in a process that considers a meaning of the first and second words existing together in the document data. 18. A medium according to claim 13, wherein said preceding/subsequent word extracting step includes a step for counting a number of occurrences of each preceding word, which precedes each word in the document data, and a number of occurrences of each subsequent word, which follows each word in the document data, said preceding/subsequent word extracting step selecting preceding and subsequent words having highest counted numbers of occurrences as the preceding and subsequent words of the first word. | 0.5 |
9,514,741 | 1 | 9 | 1. A method of enabling training of an acoustic model, the method comprising: dynamically shredding a speech corpus to produce text segments and depersonalized audio features corresponding to the text segments, the depersonalized audio features including filtered audio data remaining after speaker vocal characteristics and other audio characteristics have been removed, the speech corpus comprising a plurality of messages that each contain audio and corresponding text content, the shredding splitting each of the plurality of messages into strips, each strip comprising text segments and corresponding depersonalized audio features; mixing up the strips of the text segments and corresponding depersonalized audio features to produce strips mixed up in randomized order; and enabling a system to train an acoustic model using the strips mixed up in randomized order. | 1. A method of enabling training of an acoustic model, the method comprising: dynamically shredding a speech corpus to produce text segments and depersonalized audio features corresponding to the text segments, the depersonalized audio features including filtered audio data remaining after speaker vocal characteristics and other audio characteristics have been removed, the speech corpus comprising a plurality of messages that each contain audio and corresponding text content, the shredding splitting each of the plurality of messages into strips, each strip comprising text segments and corresponding depersonalized audio features; mixing up the strips of the text segments and corresponding depersonalized audio features to produce strips mixed up in randomized order; and enabling a system to train an acoustic model using the strips mixed up in randomized order. 9. The method according to claim 1 , further comprising filtering the depersonalized audio features by removing depersonalized audio features longer than a certain length. | 0.652439 |
8,412,628 | 1 | 11 | 1. A method for receiving and processing a claim file and authoring and electronically filing a legal document for a legal action in a court, comprising the steps of: (A) electronically receiving the claim file in electronic form wherein the claim file includes a plurality of data fields in a native format; (B) mapping, using an electronic processor, one or more of the data fields from the native format to a desired format different from the native format to form a modified claim file; (C) selecting a court, using the processor, at least in part on data included in the modified claim file and predetermined court selection criteria; (D) generating, using the processor, a legal document in electronic form configured for electronic filing in the selected court and which is compliant with requirements of the selected court, using data in the modified claim file and predetermined filing requirements data associated with the selected court; and (E) electronically filing the generated legal document in the selected court. | 1. A method for receiving and processing a claim file and authoring and electronically filing a legal document for a legal action in a court, comprising the steps of: (A) electronically receiving the claim file in electronic form wherein the claim file includes a plurality of data fields in a native format; (B) mapping, using an electronic processor, one or more of the data fields from the native format to a desired format different from the native format to form a modified claim file; (C) selecting a court, using the processor, at least in part on data included in the modified claim file and predetermined court selection criteria; (D) generating, using the processor, a legal document in electronic form configured for electronic filing in the selected court and which is compliant with requirements of the selected court, using data in the modified claim file and predetermined filing requirements data associated with the selected court; and (E) electronically filing the generated legal document in the selected court. 11. The method of claim 1 further including the step of: receiving at least one item of information from the selected court as a result of the filing of the generated legal document; and storing the received item of information. | 0.839437 |
7,558,792 | 7 | 9 | 7. A computer controlled method for extracting a human readable list from document, the computer controlled method comprising: accessing a file, said file containing data that represents a portion of said document, said data formatted in accordance with a document formatting description (DFD); parsing said data, the parsing including: making corrections to said data when said data is formed incorrectly with respect to the DFD; identifying a plurality of tags in said data; generating a plurality of container tokens, each of said plurality of container tokens corresponding to one of said plurality of tags; and generating a plurality of textual tokens for said data not identified as one of said plurality of tags; determining a set of tag paths, each of the tag paths being associated with at least one of the plurality of textual tokens; determining tag paths of interest, the step of determining tag paths of interest including: collecting all of the tag paths of the set of tag paths; removing duplicate tag paths from the collected tag paths to generate a full tag path set for the document; determining the number of textual tokens for each tag path of the full tag path set; and finding tag paths of interest in the full tag path set, each of the tag paths of interest satisfying a predetermined criteria; determining a context for each tag path of interest, said context defined by the tag path of interest and a matching pair of said container tokens within the tag path of interest; determining contiguous lists, the step of determining contiguous lists including: determining a separator pattern between one of said plurality of textual tokens and an adjacent textual token where both said one of said plurality of textual tokens and said adjacent textual token have said context; extracting one or more of said plurality of textual tokens, wherein each of the extracted one or more of said plurality of textual tokens have said context; iterating through tokens of the tag paths of interest to find at least one locatable list; and for each locatable list, accumulating text tokens, the step of accumulating text tokens comprising: identifying a first textual token in the respective tag path of interest; accumulating the first textual token into a contiguous list: identifying a second textual token having the same context as the first textual token; accumulating the second textual token into the contiguous list; creating the separator pattern based on tokens between the first textual token and the second textual token, the creating a separator pattern including: discarding white space in the tokens between the first textual token and the second textual token; and discarding tag attributes in the tokens between the first textual token and the second textual token; and checking for another occurrence of the separator pattern following the second textual token, and for each occurrence of the separator pattern: extracting a subsequent text token associated with the occurrence of the separator pattern and accumulating the subsequent textual token into the contiguous list if the subsequent textual token is separated from the previous textual token by only the occurrence of the separator pattern; and terminating the accumulating text tokens for the current locatable list if the subsequent textual token is not separated from the previous textual token by only the occurrence of the separator pattern; and presenting one or more of said plurality of textual tokens to a user on a display device as said human readable list, the step of presenting comprising at least one of: presenting one or more of said plurality of textual tokens to the user as said human readable list using audio; and storing said human readable list in a retrievable electronic file. | 7. A computer controlled method for extracting a human readable list from document, the computer controlled method comprising: accessing a file, said file containing data that represents a portion of said document, said data formatted in accordance with a document formatting description (DFD); parsing said data, the parsing including: making corrections to said data when said data is formed incorrectly with respect to the DFD; identifying a plurality of tags in said data; generating a plurality of container tokens, each of said plurality of container tokens corresponding to one of said plurality of tags; and generating a plurality of textual tokens for said data not identified as one of said plurality of tags; determining a set of tag paths, each of the tag paths being associated with at least one of the plurality of textual tokens; determining tag paths of interest, the step of determining tag paths of interest including: collecting all of the tag paths of the set of tag paths; removing duplicate tag paths from the collected tag paths to generate a full tag path set for the document; determining the number of textual tokens for each tag path of the full tag path set; and finding tag paths of interest in the full tag path set, each of the tag paths of interest satisfying a predetermined criteria; determining a context for each tag path of interest, said context defined by the tag path of interest and a matching pair of said container tokens within the tag path of interest; determining contiguous lists, the step of determining contiguous lists including: determining a separator pattern between one of said plurality of textual tokens and an adjacent textual token where both said one of said plurality of textual tokens and said adjacent textual token have said context; extracting one or more of said plurality of textual tokens, wherein each of the extracted one or more of said plurality of textual tokens have said context; iterating through tokens of the tag paths of interest to find at least one locatable list; and for each locatable list, accumulating text tokens, the step of accumulating text tokens comprising: identifying a first textual token in the respective tag path of interest; accumulating the first textual token into a contiguous list: identifying a second textual token having the same context as the first textual token; accumulating the second textual token into the contiguous list; creating the separator pattern based on tokens between the first textual token and the second textual token, the creating a separator pattern including: discarding white space in the tokens between the first textual token and the second textual token; and discarding tag attributes in the tokens between the first textual token and the second textual token; and checking for another occurrence of the separator pattern following the second textual token, and for each occurrence of the separator pattern: extracting a subsequent text token associated with the occurrence of the separator pattern and accumulating the subsequent textual token into the contiguous list if the subsequent textual token is separated from the previous textual token by only the occurrence of the separator pattern; and terminating the accumulating text tokens for the current locatable list if the subsequent textual token is not separated from the previous textual token by only the occurrence of the separator pattern; and presenting one or more of said plurality of textual tokens to a user on a display device as said human readable list, the step of presenting comprising at least one of: presenting one or more of said plurality of textual tokens to the user as said human readable list using audio; and storing said human readable list in a retrievable electronic file. 9. The computer controlled method of claim 7 , further comprising converting said data from said document formatting description to a second document formatting description. | 0.80735 |
7,546,382 | 1 | 29 | 1. A method of generating an application accessible by a user in accordance with a dialog system, the dialog system comprising one or more processors, the method comprising the steps of: declaratively representing by the one or more processors of the dialog system interactions that the user may have with the dialog system as a data model and one or more user interaction elements that populate an application state of the data model and that are bound thereto, the application comprising the data model and the one or more user interaction elements wherein the one or more user interaction elements comprise one or more elementary programming components that characterize a dialog, independent of modalities, devices, and browsers employable to access information associated with the application programmed in accordance therewith; wherein an intention of the user is determinable from an interpretation of the one or more user interaction elements and an extraction of a semantic meaning from a user input such that a dialog that the user has with the dialog system may be a mixed-initiative dialog whereby navigation through the application is performable in a non-sequential manner and at least partially user-driven; wherein at least a portion of the one or more user interaction elements can be transformed or associated to one or more modality-specific renderings of the application which are presentable to the user and are one of selected and generated by a dialog manager algorithm; and wherein the representation comprises attaching appropriate event handlers to each of a plurality of defined events comprising a parser event, a canonicalization event, a canonicalization response event, a backend submit event, a backend submit response event, a focus event, and a slot mutation event; wherein populating the application state of the data model comprises the steps of: scoring each of the one or more user interaction elements against one or more slots of each of a plurality of forms in accordance with a scoring algorithm; selecting at least one of the plurality of forms to represent the application state based at least in part on the scoring; and populating the one or more slots of the selected form by the one or more user interaction elements in accordance with the user's interaction with the dialog system; wherein the selected form specifies the scoring algorithm to be used for at least one subsequent scoring. | 1. A method of generating an application accessible by a user in accordance with a dialog system, the dialog system comprising one or more processors, the method comprising the steps of: declaratively representing by the one or more processors of the dialog system interactions that the user may have with the dialog system as a data model and one or more user interaction elements that populate an application state of the data model and that are bound thereto, the application comprising the data model and the one or more user interaction elements wherein the one or more user interaction elements comprise one or more elementary programming components that characterize a dialog, independent of modalities, devices, and browsers employable to access information associated with the application programmed in accordance therewith; wherein an intention of the user is determinable from an interpretation of the one or more user interaction elements and an extraction of a semantic meaning from a user input such that a dialog that the user has with the dialog system may be a mixed-initiative dialog whereby navigation through the application is performable in a non-sequential manner and at least partially user-driven; wherein at least a portion of the one or more user interaction elements can be transformed or associated to one or more modality-specific renderings of the application which are presentable to the user and are one of selected and generated by a dialog manager algorithm; and wherein the representation comprises attaching appropriate event handlers to each of a plurality of defined events comprising a parser event, a canonicalization event, a canonicalization response event, a backend submit event, a backend submit response event, a focus event, and a slot mutation event; wherein populating the application state of the data model comprises the steps of: scoring each of the one or more user interaction elements against one or more slots of each of a plurality of forms in accordance with a scoring algorithm; selecting at least one of the plurality of forms to represent the application state based at least in part on the scoring; and populating the one or more slots of the selected form by the one or more user interaction elements in accordance with the user's interaction with the dialog system; wherein the selected form specifies the scoring algorithm to be used for at least one subsequent scoring. 29. The method of claim 1 , wherein the representation specifies navigation inside the application thereby causing a focus shift based on one of the application state and a result of a generated event. | 0.694529 |
8,429,126 | 1 | 8 | 1. A method for monitoring changes to data comprising: receiving an indication in an object graph manager that a data bearing object expects to undergo a change, wherein the data bearing object includes a programmatic grouping of data and the change includes a modification, an addition, or a removal of associated data, and wherein the object graph manager is external to a database level in a database application; registering a change anticipation message memorializing the expected change to a data bearing object in the object graph manager; taking a first snapshot of said data bearing object upon receiving the change anticipation message; saving the first snapshot in an undo stack; identifying the change to said data bearing object once it has occurred; and receiving an additional event message selected from among a commit message and an undo message, further comprising: in the event of a commit message, performing the change to the data bearing object and performing a garbage collection process to the undo stack; and in the event of an undo message, ignoring the change and retaining the data bearing object in a form represented by a snapshot in the undo stack. | 1. A method for monitoring changes to data comprising: receiving an indication in an object graph manager that a data bearing object expects to undergo a change, wherein the data bearing object includes a programmatic grouping of data and the change includes a modification, an addition, or a removal of associated data, and wherein the object graph manager is external to a database level in a database application; registering a change anticipation message memorializing the expected change to a data bearing object in the object graph manager; taking a first snapshot of said data bearing object upon receiving the change anticipation message; saving the first snapshot in an undo stack; identifying the change to said data bearing object once it has occurred; and receiving an additional event message selected from among a commit message and an undo message, further comprising: in the event of a commit message, performing the change to the data bearing object and performing a garbage collection process to the undo stack; and in the event of an undo message, ignoring the change and retaining the data bearing object in a form represented by a snapshot in the undo stack. 8. A method as recited in claim 1 , wherein identifying said change to said data bearing object comprises: taking a second snapshot of said data bearing object upon receiving an indication that said change has been made; and identifying said change made to said data bearing object by comparing said snapshot to said second snapshot. | 0.5 |
9,111,534 | 1 | 6 | 1. A computer-implemented method comprising: identifying, with a computer system, one or more news preferences for a first user; selecting a plurality of news stories, wherein particular ones of the new stories are determined to be responsive to the news preferences for the first user and comprise audio versions of stories converted automatically from textual news stories; assembling, with the computer system and for the first user, an audio news report that includes the audio versions of the selected news stories; selecting one or more items of promotional information, the items of promotional information being in an audio format and that are selected to correspond to topics of the selected news stories, to preferences of the first user, or both; and delivering, to a computing device, the assembled audio news report, wherein the assembled audio news report further includes the selected items of promotional information, wherein selecting the one or more items of promotional information comprises: generating search results for a search query that includes text that is determined to correspond to one or more titles of the selected news stories; identifying one or more items of promotional information from the results of executing the search query and previously provided bidding information provided by an advertiser; and in response, using the one or more identified items of promotional information as the selected items of promotional information. | 1. A computer-implemented method comprising: identifying, with a computer system, one or more news preferences for a first user; selecting a plurality of news stories, wherein particular ones of the new stories are determined to be responsive to the news preferences for the first user and comprise audio versions of stories converted automatically from textual news stories; assembling, with the computer system and for the first user, an audio news report that includes the audio versions of the selected news stories; selecting one or more items of promotional information, the items of promotional information being in an audio format and that are selected to correspond to topics of the selected news stories, to preferences of the first user, or both; and delivering, to a computing device, the assembled audio news report, wherein the assembled audio news report further includes the selected items of promotional information, wherein selecting the one or more items of promotional information comprises: generating search results for a search query that includes text that is determined to correspond to one or more titles of the selected news stories; identifying one or more items of promotional information from the results of executing the search query and previously provided bidding information provided by an advertiser; and in response, using the one or more identified items of promotional information as the selected items of promotional information. 6. The computer-implemented method of claim 1 , wherein the assembled news report further includes audio that corresponds to spoken news retrieved from a news provider. | 0.830303 |
9,858,349 | 1 | 4 | 1. A method comprising: analyzing contents of a document to identify a plurality of document elements that collectively constitute the contents of the document, and storing, for each of the identified document elements, a database entry having a unique respective document-element identifier; creating a plurality of anchors dispersed throughout the document by storing, for each of a plurality of anchor locations, a respective database entry comprising a unique anchor identifier; storing a document view that represents the document as an ordered list of the document-element identifiers of the identified document elements, and listing at least some of the anchor identifiers in the document view interspersed with or nested within the document-element identifiers; and in response to selection of a portion of the document, generating a referencing address uniquely identifying the selected portion, the referencing address comprising one or more anchor identifiers of one or more respective anchors associated with the selected portion. | 1. A method comprising: analyzing contents of a document to identify a plurality of document elements that collectively constitute the contents of the document, and storing, for each of the identified document elements, a database entry having a unique respective document-element identifier; creating a plurality of anchors dispersed throughout the document by storing, for each of a plurality of anchor locations, a respective database entry comprising a unique anchor identifier; storing a document view that represents the document as an ordered list of the document-element identifiers of the identified document elements, and listing at least some of the anchor identifiers in the document view interspersed with or nested within the document-element identifiers; and in response to selection of a portion of the document, generating a referencing address uniquely identifying the selected portion, the referencing address comprising one or more anchor identifiers of one or more respective anchors associated with the selected portion. 4. The method of claim 1 , wherein at least one of the anchors is created between successive ones of the identified document elements. | 0.759857 |
6,161,130 | 24 | 26 | 24. The method in claim 19 wherein the feature space comprises both word-oriented and handcrafted features. | 24. The method in claim 19 wherein the feature space comprises both word-oriented and handcrafted features. 26. The method in claim 24 wherein the message is an electronic mail (e-mail) message and said first and second classes are non-legitimate and legitimate messages, respectively. | 0.5 |
8,954,500 | 5 | 11 | 5. The method of claim 1 , further comprising: determining a relevancy measure for each of the contacts which represents a relevance of the relationship between the first user and the contact, the relevancy measure for each contact being determined, at least in part, with reference to one or more of the first data source or the at least one external data source; wherein the relevancy measure is further determined with reference to one or more of a frequency of communication, a recency of communication, a volume of communication, a periodicity of communication, a number of connections, a group membership, a demographic characteristic, a name, a relationship category, or a geographic location. | 5. The method of claim 1 , further comprising: determining a relevancy measure for each of the contacts which represents a relevance of the relationship between the first user and the contact, the relevancy measure for each contact being determined, at least in part, with reference to one or more of the first data source or the at least one external data source; wherein the relevancy measure is further determined with reference to one or more of a frequency of communication, a recency of communication, a volume of communication, a periodicity of communication, a number of connections, a group membership, a demographic characteristic, a name, a relationship category, or a geographic location. 11. The method of claim 5 further comprising: determining that two or more of the plurality of the contacts correspond to one person; processing messages received by the first user with reference to the relevancy measures, wherein the messages include messages from the one person. | 0.5 |
7,546,242 | 1 | 12 | 1. Method of reproduction within an audio documents reproduction apparatus wherein it comprises the following steps: partitioning of the documents into groups of documents possessing at least one similar audio characteristic, determination of at least one number of the group's representative documents, determination of a determined number of audio documents representing each group, positioning of a plurality of audio documents in a space, the positioning of an audio document being dependent on at least one characteristic of the document, the user occupying a position in the said space, reproduction of the identifiers of the several documents representing a group, the reproduced identifiers having a position situated at a distance less than a determined distance with respect to the position of the user in the space, the identifiers being reproduced loopwise when this group is selected. | 1. Method of reproduction within an audio documents reproduction apparatus wherein it comprises the following steps: partitioning of the documents into groups of documents possessing at least one similar audio characteristic, determination of at least one number of the group's representative documents, determination of a determined number of audio documents representing each group, positioning of a plurality of audio documents in a space, the positioning of an audio document being dependent on at least one characteristic of the document, the user occupying a position in the said space, reproduction of the identifiers of the several documents representing a group, the reproduced identifiers having a position situated at a distance less than a determined distance with respect to the position of the user in the space, the identifiers being reproduced loopwise when this group is selected. 12. Method of reproduction according to claim 1 ; wherein the method comprises an introducing step of the number of the group's representative documents. | 0.842268 |
9,558,467 | 4 | 5 | 4. The system of claim 3 , wherein model objects located in a first column of a grid logically imposed on the physical substrate are defined as role type model objects, provided that such model objects are in a lane with one or more model objects corresponding to process steps. | 4. The system of claim 3 , wherein model objects located in a first column of a grid logically imposed on the physical substrate are defined as role type model objects, provided that such model objects are in a lane with one or more model objects corresponding to process steps. 5. The system of claim 4 , wherein roles and process step type model objects are defined to be represented by different colors. | 0.5 |
7,933,762 | 1 | 3 | 1. A machine-based method comprising: in connection with a project in which a predictive model is generated based on historical data about a system being modeled selecting variables having at least a first predetermined level of significance from a pool of potential predictor variables associated with the historical data, to form a first population of predictor variables, extending the first population of predictor variables to include cross products of at least two variables, each being from the first population of predictor variables, selecting variables having at least a second predetermined level of significance from the extended first population of predictor variables to form a second population of predictor variables, extending the second population of predictor variables to include cross products of at least two variables, at least one of the variables for at least one of the cross products being from the pool of potential predictor variables that are associated with the historical data and having less than the first predetermined level of significance, selecting variables having at least a third predetermined level of significance from the extended second population of predictor variables to form a third population of predictor variables, automatically selecting a model generation method from a set of available model generation methods to match characteristics of the historical data, generating a possible model of the third population of predictor variables using a subsample of the historical data by the model generation method, determining whether the possible model generalizes to the historical data other than the subsample, applying the possible model to all of the historical data to generate a final model, cross-validating the final model using random portions of the historical data, and interacting with the system being modeled based on the final model. | 1. A machine-based method comprising: in connection with a project in which a predictive model is generated based on historical data about a system being modeled selecting variables having at least a first predetermined level of significance from a pool of potential predictor variables associated with the historical data, to form a first population of predictor variables, extending the first population of predictor variables to include cross products of at least two variables, each being from the first population of predictor variables, selecting variables having at least a second predetermined level of significance from the extended first population of predictor variables to form a second population of predictor variables, extending the second population of predictor variables to include cross products of at least two variables, at least one of the variables for at least one of the cross products being from the pool of potential predictor variables that are associated with the historical data and having less than the first predetermined level of significance, selecting variables having at least a third predetermined level of significance from the extended second population of predictor variables to form a third population of predictor variables, automatically selecting a model generation method from a set of available model generation methods to match characteristics of the historical data, generating a possible model of the third population of predictor variables using a subsample of the historical data by the model generation method, determining whether the possible model generalizes to the historical data other than the subsample, applying the possible model to all of the historical data to generate a final model, cross-validating the final model using random portions of the historical data, and interacting with the system being modeled based on the final model. 3. The method of claim 1 also including enabling a user to point and click to reduce or extend the size of the pool of potential predictor variables, retaining only predictor variables having at least the second predetermined level of significance. | 0.603834 |
9,367,571 | 23 | 24 | 23. The computer-readable storage medium of claim 22 , wherein the processor further specifies a default value for the bind value. | 23. The computer-readable storage medium of claim 22 , wherein the processor further specifies a default value for the bind value. 24. The computer-readable storage medium of claim 23 , wherein the processor further: specifies, in the bind parameter object, a first overriding value for the bind value which belongs to a particular class that uses the connector object; and overrides the default value for the bind value using the first overriding value. | 0.5 |
8,290,272 | 8 | 13 | 8. A method of creating a document template for capturing data from a document image, the method comprising: identifying at least one repetitive structure to be encountered in the document image from which data is to be captured; and storing structure properties as the document template to process the repetitive structure in the document image, wherein the structure properties are described once in the document template, regardless of a number of occurrences of the repetitive structure in the document image. | 8. A method of creating a document template for capturing data from a document image, the method comprising: identifying at least one repetitive structure to be encountered in the document image from which data is to be captured; and storing structure properties as the document template to process the repetitive structure in the document image, wherein the structure properties are described once in the document template, regardless of a number of occurrences of the repetitive structure in the document image. 13. The method of claim 8 , wherein the repetitive structure is a field. | 0.93321 |
7,788,245 | 10 | 12 | 10. The method of claim 1 , wherein said determining one or more search terms comprises: identifying one or more topics associated with said content; generating the one or more search terms based on the one or more topics; and ranking each respective search term of the one or more search terms according to one or more predefined criteria. | 10. The method of claim 1 , wherein said determining one or more search terms comprises: identifying one or more topics associated with said content; generating the one or more search terms based on the one or more topics; and ranking each respective search term of the one or more search terms according to one or more predefined criteria. 12. The method of claim 10 , wherein the one or more predefined criteria comprise an advertisement revenue generation potential of each respective search term. | 0.5 |
9,881,053 | 24 | 30 | 24. A network computer for managing data, comprising: a transceiver that communicates over the network; a memory that stores at least instructions; and one or more processor devices that execute instructions that perform actions, including: providing a principal data set and another data set, wherein the principal data set includes a plurality of principal objects and the other data set includes a plurality of other objects; instantiating a first engine to perform actions including: associating each of the plurality of principal objects with one or more other objects that are selected from the plurality of other objects, wherein the one or more other objects are selected as potential matches to one or more of the principal objects; selecting one or more principal objects of the plurality of principal objects based on one or more heuristics and the one or more selected principal objects association with selected other objects; and labeling one or more of the selected other objects as either a match or a non-match of their associated principal object; and instantiating a second engine to perform actions, including: training a ranker to identify a selected other object that is top-ranked in similarity to its association with the one or more principal objects based on the labeling of the one or more selected other objects; and employing the trained ranker to indicate a match among the plurality of principal objects and the plurality of other objects; and instantiating a third engine to selectively filter the plurality of other objects to rank each matched other object higher than other objects associated with a same principal object, wherein geolocation information from a GPS device is employed to localize a display of the ranked other objects including one or more of time zone or language, and wherein a hardware security module is used to provide tamper resistant safeguarding of cryptographic information. | 24. A network computer for managing data, comprising: a transceiver that communicates over the network; a memory that stores at least instructions; and one or more processor devices that execute instructions that perform actions, including: providing a principal data set and another data set, wherein the principal data set includes a plurality of principal objects and the other data set includes a plurality of other objects; instantiating a first engine to perform actions including: associating each of the plurality of principal objects with one or more other objects that are selected from the plurality of other objects, wherein the one or more other objects are selected as potential matches to one or more of the principal objects; selecting one or more principal objects of the plurality of principal objects based on one or more heuristics and the one or more selected principal objects association with selected other objects; and labeling one or more of the selected other objects as either a match or a non-match of their associated principal object; and instantiating a second engine to perform actions, including: training a ranker to identify a selected other object that is top-ranked in similarity to its association with the one or more principal objects based on the labeling of the one or more selected other objects; and employing the trained ranker to indicate a match among the plurality of principal objects and the plurality of other objects; and instantiating a third engine to selectively filter the plurality of other objects to rank each matched other object higher than other objects associated with a same principal object, wherein geolocation information from a GPS device is employed to localize a display of the ranked other objects including one or more of time zone or language, and wherein a hardware security module is used to provide tamper resistant safeguarding of cryptographic information. 30. The network computer of claim 24 , further comprising, employing the first engine to provide a similarity score for each of the selected other objects, wherein the similarity score is arranged to indicate a measure of feature-based similarity between principal objects and their associated selected other objects. | 0.829753 |
9,160,719 | 17 | 19 | 17. A non-transitory storage device storing instructions which when executed by a processor improves security of an electronic messaging system, the instructions comprising: First instructions for receiving a message input; Second instructions for encoding said message input to provide ciphertext; Third instructions for further transforming said ciphertext to disguise the ciphertext and make it appear to be similar to or indistinguishable from, at least by certain automated processes, from a natural language short message; and Fourth instructions for transmitting said further-transformed ciphertext as a short message over an electronic network using a short-messaging protocol. | 17. A non-transitory storage device storing instructions which when executed by a processor improves security of an electronic messaging system, the instructions comprising: First instructions for receiving a message input; Second instructions for encoding said message input to provide ciphertext; Third instructions for further transforming said ciphertext to disguise the ciphertext and make it appear to be similar to or indistinguishable from, at least by certain automated processes, from a natural language short message; and Fourth instructions for transmitting said further-transformed ciphertext as a short message over an electronic network using a short-messaging protocol. 19. The device of claim 17 wherein the third instructions use a dictionary that includes alternate spellings of the same natural language words. | 0.573964 |
9,805,118 | 2 | 3 | 2. A method according to claim 1 wherein the plurality of selectable elements comprise a plurality of icons, wherein augmenting the transcripted text report to include a plurality of selectable elements comprises inserting an icon within the transcripted text report at each of the plurality of positions of the transcripted text report, and wherein the icons are responsive to user actuation in order to cause the audio file to move to the corresponding position. | 2. A method according to claim 1 wherein the plurality of selectable elements comprise a plurality of icons, wherein augmenting the transcripted text report to include a plurality of selectable elements comprises inserting an icon within the transcripted text report at each of the plurality of positions of the transcripted text report, and wherein the icons are responsive to user actuation in order to cause the audio file to move to the corresponding position. 3. A method according to claim 2 wherein, following user actuation of an icon and playing of the audio file beginning at the corresponding position, the icon is also configured to permit a volume at which the audio file is played to be adjusted in response to user input provided while a cursor is aligned with the respective icon. | 0.5 |
9,342,488 | 13 | 18 | 13. A method for optimizing the description of contents in a layout document, the method comprising: parsing the content of an original layout document having a document size to obtain text graphic unit data; identifying text properties of each character of the text graphic unit data, and classifying characters of the text graphic unit data according to the text properties, to save characters with the same text properties to the same text node along with the same text properties; for characters saved in each text node, saving characters on the same line or column, coordinates of an initial character on the same line or column, average character spacing of the same line or column to a text content node to obtain optimized contents in the layout document, wherein the text content node is a text content node under the text node and corresponding to the same line or column; and saving the optimized contents in the layout document on a computer readable medium with a reduced document size compared to the original layout document. | 13. A method for optimizing the description of contents in a layout document, the method comprising: parsing the content of an original layout document having a document size to obtain text graphic unit data; identifying text properties of each character of the text graphic unit data, and classifying characters of the text graphic unit data according to the text properties, to save characters with the same text properties to the same text node along with the same text properties; for characters saved in each text node, saving characters on the same line or column, coordinates of an initial character on the same line or column, average character spacing of the same line or column to a text content node to obtain optimized contents in the layout document, wherein the text content node is a text content node under the text node and corresponding to the same line or column; and saving the optimized contents in the layout document on a computer readable medium with a reduced document size compared to the original layout document. 18. The method of claim 13 , wherein when displaying optimized contents in the layout document, determining a display location as well as text properties to be displayed for each character of the contents in the layout document, based on the text properties of the text node, and average character spacing and coordinates of an initial character of a line or column in each text content node under the text node. | 0.766704 |
9,009,048 | 18 | 20 | 18. A speech recognition system, comprising: an A/D converter to convert an analog input signal including speech and/or non-speech signals transmitted through an audio transducer into a digital input signal; a frame generator to generate a plurality of frames corresponding to the digital input signal; a phoneme detector to generate a phoneme sequence from the frames; a vocabulary recognition device to extract a phoneme sequence most similar to the phoneme detector generated phoneme sequence from a dictionary that stores reference phoneme sequences; a speech segment detection device including a determiner to detect energy changes between the frames distinguishing portions of the signal, each of the frames having time lengths less than a whole time length of the signal, and to identify a speech segment from the frames based on the detected energy changes between the frames by assigning a predetermined weight to a segment in which an energy level of a respective frame is changed and when an energy difference exists between two neighboring frames; and a phoneme sequence editor to edit the phoneme detector generated phoneme sequence based on information on speech segments provided from the speech segment detection device. | 18. A speech recognition system, comprising: an A/D converter to convert an analog input signal including speech and/or non-speech signals transmitted through an audio transducer into a digital input signal; a frame generator to generate a plurality of frames corresponding to the digital input signal; a phoneme detector to generate a phoneme sequence from the frames; a vocabulary recognition device to extract a phoneme sequence most similar to the phoneme detector generated phoneme sequence from a dictionary that stores reference phoneme sequences; a speech segment detection device including a determiner to detect energy changes between the frames distinguishing portions of the signal, each of the frames having time lengths less than a whole time length of the signal, and to identify a speech segment from the frames based on the detected energy changes between the frames by assigning a predetermined weight to a segment in which an energy level of a respective frame is changed and when an energy difference exists between two neighboring frames; and a phoneme sequence editor to edit the phoneme detector generated phoneme sequence based on information on speech segments provided from the speech segment detection device. 20. The system of claim 18 , wherein the phoneme sequence editor removes phoneme sequences, except phoneme sequences corresponding to speech segments, based on information on the identified speech segment. | 0.544444 |
7,984,004 | 15 | 17 | 15. A computer-readable memory comprising instructions that, when executed by a processor, cause the processor to perform acts comprising: receiving, at a search engine, a query issued by a user; responsive to receiving the query, locating a plurality of candidate query suggestions that are based at least in part upon the query; responsive to receiving the query, accessing a logistic regression model that has been trained to model user interaction with query suggestions output by the search engine, wherein the logistic regression model has been trained based at least in part upon queries provided to a search engine by users, search results returned to the users subsequent to the search engine performing searches using the queries, search results selected by the users subsequent to the search results being returned to the users, query suggestions provided to the users responsive to the queries being provided to the search engine by the users, query suggestions selected by the users upon the users being provided with the query suggestions, and search results selected by the users subsequent to the users selecting the query suggestions; providing each query suggestion in the plurality of candidate query suggestions to the logistic regression model, wherein the logistic regression model is configured to output an indication of usefulness for each of the query suggestions in the plurality of candidate query suggestions upon receipt of each of the plurality of candidate query suggestions; and presenting at least one query suggestion from amongst the plurality of candidate query suggestions to the user subsequent to receiving the query issued by the user, wherein the at least one query suggestion is selected for presentment based at least in part upon the indication of usefulness for the query suggestion. | 15. A computer-readable memory comprising instructions that, when executed by a processor, cause the processor to perform acts comprising: receiving, at a search engine, a query issued by a user; responsive to receiving the query, locating a plurality of candidate query suggestions that are based at least in part upon the query; responsive to receiving the query, accessing a logistic regression model that has been trained to model user interaction with query suggestions output by the search engine, wherein the logistic regression model has been trained based at least in part upon queries provided to a search engine by users, search results returned to the users subsequent to the search engine performing searches using the queries, search results selected by the users subsequent to the search results being returned to the users, query suggestions provided to the users responsive to the queries being provided to the search engine by the users, query suggestions selected by the users upon the users being provided with the query suggestions, and search results selected by the users subsequent to the users selecting the query suggestions; providing each query suggestion in the plurality of candidate query suggestions to the logistic regression model, wherein the logistic regression model is configured to output an indication of usefulness for each of the query suggestions in the plurality of candidate query suggestions upon receipt of each of the plurality of candidate query suggestions; and presenting at least one query suggestion from amongst the plurality of candidate query suggestions to the user subsequent to receiving the query issued by the user, wherein the at least one query suggestion is selected for presentment based at least in part upon the indication of usefulness for the query suggestion. 17. The computer-readable memory of claim 15 , wherein an indication of usefulness output by the logistic regression model for a first query suggestion in the plurality of candidate query suggestions is based at least in part upon a constraint that a particular second query suggestion in the candidate query suggestions is to be presented to the user. | 0.5 |
9,711,056 | 14 | 15 | 14. The emotion-based cognitive assistant system of claim 13 , wherein the display is further configured to output emotion information component of the plurality of working cognitive modules in different forms comprising at least one of: sounds, toolbars, locations, and color coding of graphical user interface elements. | 14. The emotion-based cognitive assistant system of claim 13 , wherein the display is further configured to output emotion information component of the plurality of working cognitive modules in different forms comprising at least one of: sounds, toolbars, locations, and color coding of graphical user interface elements. 15. The emotion-based cognitive assistant system of claim 14 , wherein the memory is further divided into the distinct areas, which comprise a registering memory area which stores the interface memory, a working memory area which mimic the thinking in the human mind, an uncompleted working memory area which store unsolved problems, a scheduled memory area which stores future time-defined plans and executions, and a long-term memory area which corresponds to the long term memory of the human mind. | 0.5 |
4,178,472 | 11 | 12 | 11. The apparatus of claim 8, in which said tonal pattern change detecting means includes a pitch data stack for sequentially storing said symbolic value sampling means outputs each quantatively corresponding to a respective clock pulse total, said apparatus further including a rhythm counter and means supplying same with further clock pulses for counting the time interval during which the sound for each mora is present, and a rhythm data stack for receiving count data from said rhythm counter for each of the desired number of moras. | 11. The apparatus of claim 8, in which said tonal pattern change detecting means includes a pitch data stack for sequentially storing said symbolic value sampling means outputs each quantatively corresponding to a respective clock pulse total, said apparatus further including a rhythm counter and means supplying same with further clock pulses for counting the time interval during which the sound for each mora is present, and a rhythm data stack for receiving count data from said rhythm counter for each of the desired number of moras. 12. The apparatus of claim 11, further including means responsive to the output of said microphone for detecting the peak amplitude value of each sound mora and providing a digital representation thereof, and a stress data stack for storing said digitized amplitude values for the desired number of moras, whereby changes, from mora to mora, in the data in the pitch, rhythm and stress data stacks may be compared to corresponding changes in a reference instruction word to identify the spoken word applied to the microphone. | 0.5 |
9,875,087 | 8 | 11 | 8. A system for staged compilation of a declarative program comprising: a declarative language compiler configured to receive a declarative program as input, and comprising: a parse and semantic check module configured to parse and semantically check the declarative program; a graph generation module configured to compute a strongly connected component graph; a relational algebra machine (RAM) generation module configured to translate the declarative program into a relational algebra machine (RAM) using a modified semi-naïve algorithm, wherein the modified semi-naïve algorithm is a semi-naïve algorithm with modifications comprising unrolling two iterations of a fixed-point loop; and a code generation module configured to: perform a translation of the RAM into code of an imperative programming language to obtain a translated RAM; generate specialized extractor code in the imperative programming language, wherein the specialized extractor code comprises a reduced set of relations extracted from the declarative program; generate query API code in the imperative programming language; compile the translated RAM, the specialized extractor code, and the query API code to obtain a program analysis module; receive a program for analysis; provide the program as input to the program analysis module; extract a plurality of input relations from the program; and perform, using the plurality of input relations, a static program analysis on the program. | 8. A system for staged compilation of a declarative program comprising: a declarative language compiler configured to receive a declarative program as input, and comprising: a parse and semantic check module configured to parse and semantically check the declarative program; a graph generation module configured to compute a strongly connected component graph; a relational algebra machine (RAM) generation module configured to translate the declarative program into a relational algebra machine (RAM) using a modified semi-naïve algorithm, wherein the modified semi-naïve algorithm is a semi-naïve algorithm with modifications comprising unrolling two iterations of a fixed-point loop; and a code generation module configured to: perform a translation of the RAM into code of an imperative programming language to obtain a translated RAM; generate specialized extractor code in the imperative programming language, wherein the specialized extractor code comprises a reduced set of relations extracted from the declarative program; generate query API code in the imperative programming language; compile the translated RAM, the specialized extractor code, and the query API code to obtain a program analysis module; receive a program for analysis; provide the program as input to the program analysis module; extract a plurality of input relations from the program; and perform, using the plurality of input relations, a static program analysis on the program. 11. The system of claim 8 , wherein use of the modified semi-naïve algorithm causes the RAM generation module to be configured to: perform a set of initial operations; execute, after performing the set of initial operations, a plurality of first unrolled loop iterations; make a first determination, after executing the plurality of first unrolled loop iterations, that first new knowledge was found during execution of the plurality of first unrolled loop iterations; add the first new knowledge to current knowledge to obtain first updated current knowledge; execute, after executing the plurality of first unrolled loop iterations, a plurality of second unrolled loop iterations; make a second determination, after executing the plurality of second unrolled loop iterations, that second new knowledge was found during execution of the plurality of second unrolled loop iterations; add the second new knowledge to the first updated current knowledge to obtain second updated current knowledge; re-execute the plurality of first unrolled loop iterations and the plurality of second unrolled loop iterations until a third determination is made that no new knowledge is found after execution of one selected from a group consisting of the plurality first unrolled loop iterations and the plurality of second unrolled loop iterations; and add, based on the third determination, relations of a component to a computed relations set. | 0.5 |
7,685,118 | 27 | 28 | 27. The system of claim 23 , wherein said searching means locates at least one of available solutions of the problem in said expert knowledge base based on at least one search pattern to obtain said solutions list. | 27. The system of claim 23 , wherein said searching means locates at least one of available solutions of the problem in said expert knowledge base based on at least one search pattern to obtain said solutions list. 28. The system of claim 27 , wherein said expert knowledge base comprises a knowledge base of technical solutions extracted from a natural language document. | 0.5 |
10,055,476 | 7 | 12 | 7. A computerized system for searching a collection of content, comprising: at least one processor; and memory including instructions that, when executed by the at least one processor, cause the computerized system to: detect at least one interaction with search result content, the search result content part of a collection of content provided through an electronic marketplace; detect at least one fixed phrase based at least in part on the detected at least one interaction with the search result content, the search result content associated with a column in a relevance matrix, the relevance matrix maintained in a data store in a distributed environment that utilizes a plurality of network resources available over a network, the at least one fixed phrase associated with a row in the relevance matrix, the relevance matrix corresponding to a data structure of a content index that indexes the collection of content; determine a position in the relevance matrix corresponding to an intersection of the column and the row; retrieve at least one relevance score at the position to identify at least one determined relevance score for facilitating a search; and update the content index based at least in part on the at least one interaction and the at least one determined relevance score, the at least one determined relevance score being included in another search of the content index upon updating the relevance matrix. | 7. A computerized system for searching a collection of content, comprising: at least one processor; and memory including instructions that, when executed by the at least one processor, cause the computerized system to: detect at least one interaction with search result content, the search result content part of a collection of content provided through an electronic marketplace; detect at least one fixed phrase based at least in part on the detected at least one interaction with the search result content, the search result content associated with a column in a relevance matrix, the relevance matrix maintained in a data store in a distributed environment that utilizes a plurality of network resources available over a network, the at least one fixed phrase associated with a row in the relevance matrix, the relevance matrix corresponding to a data structure of a content index that indexes the collection of content; determine a position in the relevance matrix corresponding to an intersection of the column and the row; retrieve at least one relevance score at the position to identify at least one determined relevance score for facilitating a search; and update the content index based at least in part on the at least one interaction and the at least one determined relevance score, the at least one determined relevance score being included in another search of the content index upon updating the relevance matrix. 12. The computerized system of claim 7 , wherein updating the content index further comprises at least one of: adding a new row to the relevance matrix; periodic updating; scheduled updating; updating based on at least one interaction with the search result content since a previous content index update; updating during a build mode of a search engine operation; updating during a live mode of the search engine operation; updating a search history; and updating based on interaction statistics. | 0.5 |
9,299,342 | 16 | 20 | 16. A computer-readable storage device which stores a set of instructions, which when executed on at least one processor, cause the processor to perform a method comprising: receiving a spoken query from a user; applying an adapted language model to convert the spoken query to text, wherein the adapted language model is created by expanding previous queries of the user by interpolating previous queries of a plurality of other users that share at least one common characteristic with the previous queries of the user, wherein the common characteristic is data for a selected uniform resource locator that is included in the previous queries of the user and included in the previous queries of the plurality of other users; and converting the spoken query to text based on application of the adapted language model. | 16. A computer-readable storage device which stores a set of instructions, which when executed on at least one processor, cause the processor to perform a method comprising: receiving a spoken query from a user; applying an adapted language model to convert the spoken query to text, wherein the adapted language model is created by expanding previous queries of the user by interpolating previous queries of a plurality of other users that share at least one common characteristic with the previous queries of the user, wherein the common characteristic is data for a selected uniform resource locator that is included in the previous queries of the user and included in the previous queries of the plurality of other users; and converting the spoken query to text based on application of the adapted language model. 20. The computer-readable storage device of claim 16 , wherein the applying of the adapted language model further comprises identifying a cluster of users that is associated with the previous queries of the plurality of other users, and using additional query data of the cluster of users to convert the spoken query. | 0.577333 |
9,824,161 | 6 | 9 | 6. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: obtaining search results for a search query, each search result referencing a respective webpage resource, and each of the webpage resources being different from each other resource; for each webpage resource referenced by the search results obtained: identifying, within the webpage resource, structured data; identifying, for the webpage resource, a topic of the webpage resource; determining, from the structured data within the webpage resource, textual values included in the structured data and, for each textual value, an associated property value; wherein multiple topics are identified for the webpage resources; determining a textual value as a consistent value based on a number of different webpage resources that each have a matching topic and that include structured data having an identical textual value and an identical associated property value determined from the structured data, wherein the number of different webpage resources is exclusive of the webpage resources referenced by the search results that do not have a topic that matches the matching topic; and in response to determining a consistent value, providing (i) a representation of the consistent value as a possible answer to the search query, and (ii) the search results. | 6. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: obtaining search results for a search query, each search result referencing a respective webpage resource, and each of the webpage resources being different from each other resource; for each webpage resource referenced by the search results obtained: identifying, within the webpage resource, structured data; identifying, for the webpage resource, a topic of the webpage resource; determining, from the structured data within the webpage resource, textual values included in the structured data and, for each textual value, an associated property value; wherein multiple topics are identified for the webpage resources; determining a textual value as a consistent value based on a number of different webpage resources that each have a matching topic and that include structured data having an identical textual value and an identical associated property value determined from the structured data, wherein the number of different webpage resources is exclusive of the webpage resources referenced by the search results that do not have a topic that matches the matching topic; and in response to determining a consistent value, providing (i) a representation of the consistent value as a possible answer to the search query, and (ii) the search results. 9. The medium of claim 6 , wherein providing (i) a representation of the consistent value as a possible answer to the search query, and (ii) the search results comprises: generating a snippet from the value of the particular property as indicated by a first resource according to a template corresponding to a type of structured data; providing the generated snippet; and providing a link to the first resource. | 0.5 |
9,703,779 | 1 | 9 | 1. A method of finding and presenting content items based on input received from a user in which the search query used to match content items of potential interest is formed based on matching the input with a catalog of metacontent items and keywords associated with the metacontent items, the method comprising: providing, on a local device, a local collection of content items and associated metacontent, the metacontent associated with each content item describing informational content of the corresponding content item; providing, on a remote server system, a remote catalog of metacontent items and keywords associated with the metacontent items; receiving, on the local device during a range of time of a sequence of ranges of times, input from the user for finding at least one desired content item, wherein the sequence of ranges of times repeats cyclically after all ranges of times in the sequence of ranges of times have lapsed; receiving a plurality of magnitudes of user interaction, wherein each respective magnitude of the plurality of magnitudes corresponds to an amount of user interaction of the user with a respective dataspace of a plurality of dataspaces of the remote catalog during the range of time; identifying, based on the plurality of magnitudes, a dataspace of the plurality of dataspaces that corresponds to the respective magnitude having a greatest magnitude of user interaction of the plurality of magnitudes of user interaction; selecting at least one keyword that has a different word stem than the received input from keywords included within a subset of the remote catalog corresponding to the dataspace, based at least in part on matching the received input from the user with metacontent items that are included within the subset of the remote catalog; adding, on the local device, the at least one keyword to the received input from the user to form a search query; determining, on the local device, a subset of content items of the local collection associated with metacontent that at least partially matches both of the at least one keyword and the received input from the user of the search query; and presenting, on the local device, the subset of content items of the local collection on a display device based at least in part on at least one ranking criterion, wherein the ranking criterion includes learned preferences of the user for content items of the local collection and local attribute values associated with the content items of the local collection, each local attribute value being based on interactions of the user with at least one content item of the local collection corresponding to the local attribute value. | 1. A method of finding and presenting content items based on input received from a user in which the search query used to match content items of potential interest is formed based on matching the input with a catalog of metacontent items and keywords associated with the metacontent items, the method comprising: providing, on a local device, a local collection of content items and associated metacontent, the metacontent associated with each content item describing informational content of the corresponding content item; providing, on a remote server system, a remote catalog of metacontent items and keywords associated with the metacontent items; receiving, on the local device during a range of time of a sequence of ranges of times, input from the user for finding at least one desired content item, wherein the sequence of ranges of times repeats cyclically after all ranges of times in the sequence of ranges of times have lapsed; receiving a plurality of magnitudes of user interaction, wherein each respective magnitude of the plurality of magnitudes corresponds to an amount of user interaction of the user with a respective dataspace of a plurality of dataspaces of the remote catalog during the range of time; identifying, based on the plurality of magnitudes, a dataspace of the plurality of dataspaces that corresponds to the respective magnitude having a greatest magnitude of user interaction of the plurality of magnitudes of user interaction; selecting at least one keyword that has a different word stem than the received input from keywords included within a subset of the remote catalog corresponding to the dataspace, based at least in part on matching the received input from the user with metacontent items that are included within the subset of the remote catalog; adding, on the local device, the at least one keyword to the received input from the user to form a search query; determining, on the local device, a subset of content items of the local collection associated with metacontent that at least partially matches both of the at least one keyword and the received input from the user of the search query; and presenting, on the local device, the subset of content items of the local collection on a display device based at least in part on at least one ranking criterion, wherein the ranking criterion includes learned preferences of the user for content items of the local collection and local attribute values associated with the content items of the local collection, each local attribute value being based on interactions of the user with at least one content item of the local collection corresponding to the local attribute value. 9. The method of claim 1 , wherein the local attribute values include at least one of a periodicity of usage by the user, frequency of usage by the user, a duration of usage by the user, a number of interactions by the user, a last time of use by the user, temporal information associated with usage by the user, and location information associated with usage by the user. | 0.741667 |
7,633,535 | 1 | 2 | 1. An apparatus for adding user-supplied text to a digital still image comprising: (a) a card having a surface and image manipulation instructions printed on said surface in encoded form, at least one of said image manipulation instructions comprising instructions for adding user-supplied text to a digital still image; (b) a text entry device comprising: (i) a user interface adapted to receive text from a user; (ii) a memory adapted to store character set information including character set information defining at least one character set in a non-roman font; and (iii) camera communication means adapted to communicate said user-supplied text and said character set information to a digital still camera; and (c) a digital still camera comprising: (i) a sensor adapted to sense an original digital still image; (ii) a card reader adapted to read said image manipulation instructions stored on said card; (iii) text entry device communication means adapted to receive said user-supplied text and said character set information from said text entry device; (iv) image manipulation means adapted to manipulate said original digital still image in accordance with said image manipulation instructions to form a manipulated digital still image which includes said user-supplied text; and (v) a printer device adapted to print said manipulated digital still image. | 1. An apparatus for adding user-supplied text to a digital still image comprising: (a) a card having a surface and image manipulation instructions printed on said surface in encoded form, at least one of said image manipulation instructions comprising instructions for adding user-supplied text to a digital still image; (b) a text entry device comprising: (i) a user interface adapted to receive text from a user; (ii) a memory adapted to store character set information including character set information defining at least one character set in a non-roman font; and (iii) camera communication means adapted to communicate said user-supplied text and said character set information to a digital still camera; and (c) a digital still camera comprising: (i) a sensor adapted to sense an original digital still image; (ii) a card reader adapted to read said image manipulation instructions stored on said card; (iii) text entry device communication means adapted to receive said user-supplied text and said character set information from said text entry device; (iv) image manipulation means adapted to manipulate said original digital still image in accordance with said image manipulation instructions to form a manipulated digital still image which includes said user-supplied text; and (v) a printer device adapted to print said manipulated digital still image. 2. The apparatus as claimed in claim 1 wherein said card comprises an “Artcard” as described herein. | 0.864499 |
9,116,993 | 1 | 18 | 1. A computer-implemented method comprising: determining, by a query reissuer that includes one or more processors, a first estimate of quality of a first set of search results that a search engine identifies as responsive to a user search query received from a user device; classifying, by the query reissuer, the first set of search results that the search engine identifies as responsive to the user search query as unacceptable based at least on the first estimate of quality of the first set of search results; and in response to classifying the first set of search results that the search engine identifies as responsive to the user search query as unacceptable based at least on the first estimate of quality of the first set of search results, transmitting, by the query reissuer, an instruction to a query reviser to generate a modified search query for submission to the search engine. | 1. A computer-implemented method comprising: determining, by a query reissuer that includes one or more processors, a first estimate of quality of a first set of search results that a search engine identifies as responsive to a user search query received from a user device; classifying, by the query reissuer, the first set of search results that the search engine identifies as responsive to the user search query as unacceptable based at least on the first estimate of quality of the first set of search results; and in response to classifying the first set of search results that the search engine identifies as responsive to the user search query as unacceptable based at least on the first estimate of quality of the first set of search results, transmitting, by the query reissuer, an instruction to a query reviser to generate a modified search query for submission to the search engine. 18. The device of claim 1 , wherein: determining the first estimate of quality of the first search results comprises determining a number of search results in the first set of search results; and classifying the first set of search results that the search engine identifies as responsive to the user search query as unacceptable comprises determining that the number of search results in the first set of search results satisfies a threshold. | 0.718112 |
9,235,917 | 9 | 10 | 9. A method comprising, at a processor: automatically detecting video compression information in at least a portion of at least one image frame of video content; associating metadata corresponding to the detected video compression information with the image frame by embedding the metadata with the at least one image frame to tightly couple the metadata to the at least one image frame to provide for metadata-to-content synchronization that is independent of playback performance, playback timing, and user interaction, wherein the metadata associates at least one multimedia element with the detected video compression information, and wherein upon rendering of the image frame, the multimedia element is to be overlaid on the at least a portion of the image frame based on the metadata. | 9. A method comprising, at a processor: automatically detecting video compression information in at least a portion of at least one image frame of video content; associating metadata corresponding to the detected video compression information with the image frame by embedding the metadata with the at least one image frame to tightly couple the metadata to the at least one image frame to provide for metadata-to-content synchronization that is independent of playback performance, playback timing, and user interaction, wherein the metadata associates at least one multimedia element with the detected video compression information, and wherein upon rendering of the image frame, the multimedia element is to be overlaid on the at least a portion of the image frame based on the metadata. 10. The method of claim 9 , wherein the multimedia element is to provide for user interactivity based on the metadata. | 0.792982 |
9,652,452 | 1 | 6 | 1. A method of constructing a natural language model for accessing a content management system, the method comprising: a) using a processor, constructing a first natural language model within a Natural Language Processing (NLP) application; b) receiving a first natural language input from a first user comprising a text in the first natural language into the NLP application; c) encapsulating linguistic characteristics within the first natural language model based upon the first natural language input, the linguistic characteristics comprising: i) a set of multiple primitives of the first Natural Language, said multiple primitives comprising tokens that form the basis for expressing information using the first Natural Language; and ii) semantic characteristics of the first Natural Language; and iii) syntactic characteristics of the first natural language; and iv) a probability of occurrence of two of said multiple primitives within a spatiotemporal proximity; d) generating a derivative of the first natural language input, said derivative of the first natural language input based upon the first natural language model and the linguistic characteristics; e) communicating with a search engine application program interface; f) retrieving documents relevant to the first natural language input by executing a search via the search engine with a topic specific query based upon the derivative and the linguistic characteristics; g) presenting the documents relevant to the first natural language input and identified via the search engine to the first user; h) receiving a second natural language input from a second user comprising a text in the second natural language different from the first natural language and inputting the second natural language input into a second natural language model in the NLP application, wherein the second natural language model is based upon the linguistic characteristics encapsulated within the first natural language model; i) generating, using the processor, at least one output based on processing of the second natural language input by the second natural language model in the NLP application, wherein the output comprises a text in the second natural language; j) presenting the output based on processing the second natural language model to the second user; and k) storing at least a portion of the first natural language model and a portion of the second language model in a memory communicatively coupled to the processor. | 1. A method of constructing a natural language model for accessing a content management system, the method comprising: a) using a processor, constructing a first natural language model within a Natural Language Processing (NLP) application; b) receiving a first natural language input from a first user comprising a text in the first natural language into the NLP application; c) encapsulating linguistic characteristics within the first natural language model based upon the first natural language input, the linguistic characteristics comprising: i) a set of multiple primitives of the first Natural Language, said multiple primitives comprising tokens that form the basis for expressing information using the first Natural Language; and ii) semantic characteristics of the first Natural Language; and iii) syntactic characteristics of the first natural language; and iv) a probability of occurrence of two of said multiple primitives within a spatiotemporal proximity; d) generating a derivative of the first natural language input, said derivative of the first natural language input based upon the first natural language model and the linguistic characteristics; e) communicating with a search engine application program interface; f) retrieving documents relevant to the first natural language input by executing a search via the search engine with a topic specific query based upon the derivative and the linguistic characteristics; g) presenting the documents relevant to the first natural language input and identified via the search engine to the first user; h) receiving a second natural language input from a second user comprising a text in the second natural language different from the first natural language and inputting the second natural language input into a second natural language model in the NLP application, wherein the second natural language model is based upon the linguistic characteristics encapsulated within the first natural language model; i) generating, using the processor, at least one output based on processing of the second natural language input by the second natural language model in the NLP application, wherein the output comprises a text in the second natural language; j) presenting the output based on processing the second natural language model to the second user; and k) storing at least a portion of the first natural language model and a portion of the second language model in a memory communicatively coupled to the processor. 6. The method of claim 1 , wherein the topic specific query based upon the derivative and the linguistic characteristics comprises at least one keyword. | 0.679325 |
10,037,315 | 12 | 19 | 12. A computer program product that, when executed by one or more processors, causes a segmented data analysis process to be carried out using a data reporting interface that simulates the appearance of a digital form, wherein the process comprises: rendering a digital form in a form simulation interface, wherein the digital form comprises a plurality of fields; receiving first input from a form author via the form simulation interface, wherein the first input designates a selected one of the plurality of fields as a dimension for subsequent form interaction analysis; receiving consumer data provided using the selected one of the plurality of fields; receiving consumer interaction data characterizing a consumer interaction with the digital form; rendering the digital form in a data reporting interface; receiving second input from the form author via the data reporting interface, wherein the second input designates a form interactivity metric; assigning an initial value to the form interactivity metric based on the received consumer interaction data; causing display of the initial value in the data reporting interface; receiving third input from the form author via the selected field in the data reporting interface, wherein the third input defines a consumer segmentation; modifying the initial value assigned to the form interactivity metric based on the consumer segmentation; assigning a modified value to the form interactivity metric; and causing display of the modified value for the form interactivity metric in response to receiving the third input. | 12. A computer program product that, when executed by one or more processors, causes a segmented data analysis process to be carried out using a data reporting interface that simulates the appearance of a digital form, wherein the process comprises: rendering a digital form in a form simulation interface, wherein the digital form comprises a plurality of fields; receiving first input from a form author via the form simulation interface, wherein the first input designates a selected one of the plurality of fields as a dimension for subsequent form interaction analysis; receiving consumer data provided using the selected one of the plurality of fields; receiving consumer interaction data characterizing a consumer interaction with the digital form; rendering the digital form in a data reporting interface; receiving second input from the form author via the data reporting interface, wherein the second input designates a form interactivity metric; assigning an initial value to the form interactivity metric based on the received consumer interaction data; causing display of the initial value in the data reporting interface; receiving third input from the form author via the selected field in the data reporting interface, wherein the third input defines a consumer segmentation; modifying the initial value assigned to the form interactivity metric based on the consumer segmentation; assigning a modified value to the form interactivity metric; and causing display of the modified value for the form interactivity metric in response to receiving the third input. 19. The computer program product of claim 12 , wherein the initial and modified values assigned to the form interactivity metric are displayed adjacent to the selected field in the data reporting interface. | 0.834405 |
8,719,028 | 10 | 11 | 10. A text-to-speech method comprising the steps of: a) analyzing a question received by an information processing apparatus from a user regarding audio data stored in a storage unit, the audio data including tune data, and tune information in the form of character text or word text corresponding to the tune data, wherein the information processing apparatus is configured to convert text data to speech data; b) extracting a text template from a plurality of predetermined text templates stored in the storage unit, the extracted text template corresponding to the question analyzed and corresponding to a predetermined associated genre; c) detecting substitution symbols in the extracted text template corresponding to the character text or word text associated with the tune data; d) converting the extracted text template to a new text template if the substitution symbols in the extracted text template corresponding to the character text or word text cannot be read aloud; e) replacing the substitution symbols that cannot be read aloud with substitution symbols that can be read aloud, or removing the substitution symbols that cannot be read aloud, in accordance with predetermined conversion rules; and f) converting the text of the new text template to speech data for output of the speech data, and wherein the new text template read aloud contains no silent portions. | 10. A text-to-speech method comprising the steps of: a) analyzing a question received by an information processing apparatus from a user regarding audio data stored in a storage unit, the audio data including tune data, and tune information in the form of character text or word text corresponding to the tune data, wherein the information processing apparatus is configured to convert text data to speech data; b) extracting a text template from a plurality of predetermined text templates stored in the storage unit, the extracted text template corresponding to the question analyzed and corresponding to a predetermined associated genre; c) detecting substitution symbols in the extracted text template corresponding to the character text or word text associated with the tune data; d) converting the extracted text template to a new text template if the substitution symbols in the extracted text template corresponding to the character text or word text cannot be read aloud; e) replacing the substitution symbols that cannot be read aloud with substitution symbols that can be read aloud, or removing the substitution symbols that cannot be read aloud, in accordance with predetermined conversion rules; and f) converting the text of the new text template to speech data for output of the speech data, and wherein the new text template read aloud contains no silent portions. 11. The text-to-speech method according to claim 10 , further comprising: selecting candidates for the text template from the plurality of text templates stored in the storage unit, wherein the candidates are selected that provide a response to the question; detecting the genre corresponding to the tune data that is a subject of the question, by analyzing the tune information corresponding to the tune data, and selecting a text template corresponding to the detected genre from the candidates. | 0.5 |
7,757,234 | 8 | 10 | 8. A computer-implemented method, comprising: accepting control of a wizard based on a first user request, the wizard configured to perform a step-by-step process, each step associated with a step type, the step type being one of confirmation, processing, optional input, or mandatory input, wherein the wizard is capable of presenting a user interface associated with each step in the step-by-step process; causing execution of the wizard process in batch mode by a batch job manager until a first step associated with a step type that requires user input is encountered; presenting an augmented user interface of the wizard associated with the first step to the user, where the augmented user interface of the wizard incorporates at least one user interface element associated with the operations of the batch job manager configured to correspond to the first step, where completion of the first step is based at least in part on a second user request; and resuming execution of the wizard process in batch mode after completion of the first step based on the second user request. | 8. A computer-implemented method, comprising: accepting control of a wizard based on a first user request, the wizard configured to perform a step-by-step process, each step associated with a step type, the step type being one of confirmation, processing, optional input, or mandatory input, wherein the wizard is capable of presenting a user interface associated with each step in the step-by-step process; causing execution of the wizard process in batch mode by a batch job manager until a first step associated with a step type that requires user input is encountered; presenting an augmented user interface of the wizard associated with the first step to the user, where the augmented user interface of the wizard incorporates at least one user interface element associated with the operations of the batch job manager configured to correspond to the first step, where completion of the first step is based at least in part on a second user request; and resuming execution of the wizard process in batch mode after completion of the first step based on the second user request. 10. The method of claim 8 , where user interfaces associated with particular steps of the wizard are not presented while the process is executing in batch mode. | 0.581152 |
8,056,014 | 6 | 7 | 6. An interactive display interface on a computer controlled display system for providing Web portal pages, the system comprising: a processor; a computer memory holding computer program instructions which when executed by the processor perform the method comprising: displaying, at said display interface, a Web portal page including a plurality of portlet sections in said displayed page, each portlet section having an original area including text and at least one displayed active hyperlink to another Web page; enabling a user to enter one of said displayed portlet sections by moving a display pointer into said one portlet section; enabling, by the entry of said user into said one portlet section, the enlargement of the area of said one portlet section to a size greater than said original area; and responsive to said enlarging of the area of said one portlet, reducing the areas of each of a plurality of the other portal sections to a size smaller than said original area, wherein said at least one displayed active hyperlink in each of the other portlet sections of reduced area remains active. | 6. An interactive display interface on a computer controlled display system for providing Web portal pages, the system comprising: a processor; a computer memory holding computer program instructions which when executed by the processor perform the method comprising: displaying, at said display interface, a Web portal page including a plurality of portlet sections in said displayed page, each portlet section having an original area including text and at least one displayed active hyperlink to another Web page; enabling a user to enter one of said displayed portlet sections by moving a display pointer into said one portlet section; enabling, by the entry of said user into said one portlet section, the enlargement of the area of said one portlet section to a size greater than said original area; and responsive to said enlarging of the area of said one portlet, reducing the areas of each of a plurality of the other portal sections to a size smaller than said original area, wherein said at least one displayed active hyperlink in each of the other portlet sections of reduced area remains active. 7. The display interface of claim 6 wherein: said performed method enlarges the area of said one portlet section automatically upon the entry of said pointer into said one portlet section. | 0.5 |
8,792,126 | 23 | 31 | 23. A computer program product for routing a facsimile, the computer program product comprising a computer readable medium having non-transitory program code embodied therewith, the program code readable/executable by a processor to cause the processor to: receive text of a facsimile in a computer readable format; ascertain one or more of a significance and a relevance of at least a portion of the text by ascertaining a position of one or more keywords in the text, wherein at least two of the keywords are not adjacent in the text; analyze the text of the facsimile for at least one of a meaning and a context of the text; route the facsimile or text thereof to one or more destinations based on the analysis; initiate a business process based on the analysis; detect a problem with the business process; generate a notification of the problem; and notify one or more entities of the problem, wherein the routing utilizes an outgoing communication device. | 23. A computer program product for routing a facsimile, the computer program product comprising a computer readable medium having non-transitory program code embodied therewith, the program code readable/executable by a processor to cause the processor to: receive text of a facsimile in a computer readable format; ascertain one or more of a significance and a relevance of at least a portion of the text by ascertaining a position of one or more keywords in the text, wherein at least two of the keywords are not adjacent in the text; analyze the text of the facsimile for at least one of a meaning and a context of the text; route the facsimile or text thereof to one or more destinations based on the analysis; initiate a business process based on the analysis; detect a problem with the business process; generate a notification of the problem; and notify one or more entities of the problem, wherein the routing utilizes an outgoing communication device. 31. The computer program product as recited in claim 23 , wherein at least one of the destinations corresponds to a recipient other than an intended recipient of the facsimile. | 0.526882 |
9,390,195 | 38 | 45 | 38. The apparatus of claim 37 , wherein said processor is configured to identifying the set of quota cells by determining an incomplete match to a quota cell in response to an edge of the quota cell vertex for the quota cell encountering a profile parameter value vertex representing a value of a profile parameter that is not determined for the panelist. | 38. The apparatus of claim 37 , wherein said processor is configured to identifying the set of quota cells by determining an incomplete match to a quota cell in response to an edge of the quota cell vertex for the quota cell encountering a profile parameter value vertex representing a value of a profile parameter that is not determined for the panelist. 45. The apparatus of claim 38 , wherein said processor is configured to weighting random selection of the quota cells according to priorities assigned to the quota cells by: associating the quota cells with segments of a segmented bell curve based on the priorities; randomly selecting a segment of the bell curve, wherein a segment associated with quota cells of higher priority than those of another segment has a greater chance of being selected than the other segment; and randomly selecting a quota cell of the selected segment of the bell curve. | 0.525818 |
8,594,023 | 1 | 4 | 1. A method comprising: receiving information about an expected use of a spectrum band in a radio frequency spectrum, the expected use by a primary user and the receiving at a mobile device; classifying the expected use of the spectrum band into at least two working modes, the classifying responsive to the information about the expected use; sensing the spectrum band to determine a current access pattern of the primary user; selecting one of the working modes as a current working mode of the primary user, the selecting responsive to the classifying and to the current access pattern of the primary user; scheduling transmissions on the spectrum band using a current schedule that is responsive to the current working mode of the primary user, the scheduling as a secondary user of the spectrum band; determining whether the current working mode of the primary user has changed; if the current working mode of the primary user has changed, re-performing the sensing, selecting, scheduling, and determining; and if the current working mode of the primary user has not changed, re-performing the scheduling and determining. | 1. A method comprising: receiving information about an expected use of a spectrum band in a radio frequency spectrum, the expected use by a primary user and the receiving at a mobile device; classifying the expected use of the spectrum band into at least two working modes, the classifying responsive to the information about the expected use; sensing the spectrum band to determine a current access pattern of the primary user; selecting one of the working modes as a current working mode of the primary user, the selecting responsive to the classifying and to the current access pattern of the primary user; scheduling transmissions on the spectrum band using a current schedule that is responsive to the current working mode of the primary user, the scheduling as a secondary user of the spectrum band; determining whether the current working mode of the primary user has changed; if the current working mode of the primary user has changed, re-performing the sensing, selecting, scheduling, and determining; and if the current working mode of the primary user has not changed, re-performing the scheduling and determining. 4. The method of claim 1 , wherein the determining whether the current working mode of the primary user has changed is responsive to a bit error rate on the spectrum band. | 0.745536 |
9,275,640 | 4 | 5 | 4. The method of claim 1 , wherein the original data representation includes quantities representative of confidence scores associated with the preliminary occurrences of each vocabulary item. | 4. The method of claim 1 , wherein the original data representation includes quantities representative of confidence scores associated with the preliminary occurrences of each vocabulary item. 5. The method of claim 4 wherein the original data representation includes start times and end times associated with the preliminary occurrences of each vocabulary item. | 0.5 |
8,478,733 | 6 | 8 | 6. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising: computer-readable program code configured to receive a database request having a projection operation for all of a plurality of columns in one or more tables, wherein the projection operation comprises a SELECT statement having a column list having that includes (i) a shorthand that specifies all of the plurality of columns and (ii) a substitute clause that specifies a column from the plurality of columns and an expression, wherein the shorthand comprises a wildcard that expands to specify all of the plurality of columns, the shorthand being less than a plurality of column references to the plurality of columns; computer-readable program code configured to, responsive to the request, retrieve one or more data records having the plurality of columns including the specified column; computer-readable program code configured to evaluate the specified expression to generate an expression result corresponding to a respective data record of the one or more data records; and computer-readable program code configured to, generate a result set comprised of the one of more data records having the plurality of columns, such that, for the respective data record, a value for the specified column is replaced with the corresponding expression result, wherein a number of columns in the result set is the same as the number of the plurality of columns in the one or more tables and specified by the shorthand. | 6. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising: computer-readable program code configured to receive a database request having a projection operation for all of a plurality of columns in one or more tables, wherein the projection operation comprises a SELECT statement having a column list having that includes (i) a shorthand that specifies all of the plurality of columns and (ii) a substitute clause that specifies a column from the plurality of columns and an expression, wherein the shorthand comprises a wildcard that expands to specify all of the plurality of columns, the shorthand being less than a plurality of column references to the plurality of columns; computer-readable program code configured to, responsive to the request, retrieve one or more data records having the plurality of columns including the specified column; computer-readable program code configured to evaluate the specified expression to generate an expression result corresponding to a respective data record of the one or more data records; and computer-readable program code configured to, generate a result set comprised of the one of more data records having the plurality of columns, such that, for the respective data record, a value for the specified column is replaced with the corresponding expression result, wherein a number of columns in the result set is the same as the number of the plurality of columns in the one or more tables and specified by the shorthand. 8. The computer program product of claim 6 , wherein the expression comprises a function having a column reference to the specified column. | 0.689732 |
9,965,556 | 19 | 20 | 19. A non-transitory computer storage medium storing computer-executable instructions for causing a network device to perform a method comprising: collecting geographic location data reported by a mobile communication device associated with a selected member among a plurality of members of a situational awareness system; analyzing the geographic location data to identify a topic of interest for the selected member; prompting the selected member to update profile data associated with the selected member to reflect the topic of interest; receiving an indication that the selected member's profile data has been updated to add the topic of interest; accessing social media data associated with the selected member and assigning a query priority for the selected member relating to the added topic of interest based on the selected member's social media data; receiving a situational awareness request related to the added topic of interest from a requester communication device other than the mobile communication device associated with the selected member, the situational awareness request comprising a geographic area of interest; collecting geographic location data reported by the mobile communication devices associated with the plurality of members; identifying mobile communication devices associated with the members located in the geographic area of interest; obtaining demographic data including at least age and gender and/or subject matter of interest from member profiles for the members associated with the mobile communication devices located in the geographic area of interest; providing situational awareness information including demographic statistics for the members associated with the mobile communication devices located in the geographic area of interest, wherein the demographic statistics reflect the age and gender and/or subject matter of interest for the selected member to the requester communication device; receiving from the requester communication device an online query from a requester relating to the topic of interest and the geographic area of interest; transmitting the online query to the-mobile communication devices associated with the members located in the geographic area of interest in a priority-order reflecting the query priority assigned to the selected member; receiving responses to the online query from responding mobile communication devices located in the geographic area of interest; and transmitting to the requester communication device demographic statistics for the responding mobile communication devices including at least age and gender and/or subject matter of interest for the members associated with the responding mobile communication devices. | 19. A non-transitory computer storage medium storing computer-executable instructions for causing a network device to perform a method comprising: collecting geographic location data reported by a mobile communication device associated with a selected member among a plurality of members of a situational awareness system; analyzing the geographic location data to identify a topic of interest for the selected member; prompting the selected member to update profile data associated with the selected member to reflect the topic of interest; receiving an indication that the selected member's profile data has been updated to add the topic of interest; accessing social media data associated with the selected member and assigning a query priority for the selected member relating to the added topic of interest based on the selected member's social media data; receiving a situational awareness request related to the added topic of interest from a requester communication device other than the mobile communication device associated with the selected member, the situational awareness request comprising a geographic area of interest; collecting geographic location data reported by the mobile communication devices associated with the plurality of members; identifying mobile communication devices associated with the members located in the geographic area of interest; obtaining demographic data including at least age and gender and/or subject matter of interest from member profiles for the members associated with the mobile communication devices located in the geographic area of interest; providing situational awareness information including demographic statistics for the members associated with the mobile communication devices located in the geographic area of interest, wherein the demographic statistics reflect the age and gender and/or subject matter of interest for the selected member to the requester communication device; receiving from the requester communication device an online query from a requester relating to the topic of interest and the geographic area of interest; transmitting the online query to the-mobile communication devices associated with the members located in the geographic area of interest in a priority-order reflecting the query priority assigned to the selected member; receiving responses to the online query from responding mobile communication devices located in the geographic area of interest; and transmitting to the requester communication device demographic statistics for the responding mobile communication devices including at least age and gender and/or subject matter of interest for the members associated with the responding mobile communication devices. 20. The non-transitory computer storage medium of claim 19 , further comprising causing a response fee to be paid to the selected member for responding to the online query, and causing a query fee to be charged to the requester. | 0.5 |
10,140,621 | 16 | 17 | 16. The device of claim 10 , wherein the modules executed by the processor perform operations further comprising selecting one of the each brand name of the identified pairs of the brand names to be a normalized representation of the each brand name of the identified pairs of the brand names. | 16. The device of claim 10 , wherein the modules executed by the processor perform operations further comprising selecting one of the each brand name of the identified pairs of the brand names to be a normalized representation of the each brand name of the identified pairs of the brand names. 17. The device of claim 16 , wherein the normalized representation comprises a shortest textual length brand name among the each brand name of the identified pairs of the brand names. | 0.5 |
6,162,059 | 8 | 9 | 8. The problem solving skills development system of claim 7 further including a plurality of tactile recognition blocks removably engageable with said sliding pieces, each of said plurality of tactile recognition blocks having said tactilly recognizable region on a surface thereof. | 8. The problem solving skills development system of claim 7 further including a plurality of tactile recognition blocks removably engageable with said sliding pieces, each of said plurality of tactile recognition blocks having said tactilly recognizable region on a surface thereof. 9. The problem solving skills development system of claim 8 wherein each of said sliding pieces include block engaging members for engaging said tactile recognition blocks. | 0.622807 |
7,577,651 | 91 | 92 | 91. A system for providing search results in response to a search query, the system comprising: a) a computer adapted to receive a search query from a user; and b) the computer comprising a processor, the processor having processor executable instructions for: building a temporal profile of the search query from temporal data associated with documents retrieved in response to the search query, the temporal profile capable of being temporally ambiguous, the temporal profile capable of being temporally unambiguous, and the temporal profile capable of being atemporal, such that the temporal profile is at least one of: temporally ambiguous, temporally unambiguous, and atemporal; predicting an average precision of the search query using a combination of at least one temporal feature of the temporal profile and a content feature of the documents retrieved in response to the search query; identifying the search query as one of temporally ambiguous, temporally unambiguous or atemporal to the user; determining from the average precision whether the search query would benefit from relevance feedback from the user, the determination also based on the identification of the search query as temporally ambiguous, temporally unambiguous or atemporal to the user; and constructing an interactive display capable of being presented to the user for obtaining the relevance feedback from the user if there is a determination that the search query will benefit from the relevance feedback from the user. | 91. A system for providing search results in response to a search query, the system comprising: a) a computer adapted to receive a search query from a user; and b) the computer comprising a processor, the processor having processor executable instructions for: building a temporal profile of the search query from temporal data associated with documents retrieved in response to the search query, the temporal profile capable of being temporally ambiguous, the temporal profile capable of being temporally unambiguous, and the temporal profile capable of being atemporal, such that the temporal profile is at least one of: temporally ambiguous, temporally unambiguous, and atemporal; predicting an average precision of the search query using a combination of at least one temporal feature of the temporal profile and a content feature of the documents retrieved in response to the search query; identifying the search query as one of temporally ambiguous, temporally unambiguous or atemporal to the user; determining from the average precision whether the search query would benefit from relevance feedback from the user, the determination also based on the identification of the search query as temporally ambiguous, temporally unambiguous or atemporal to the user; and constructing an interactive display capable of being presented to the user for obtaining the relevance feedback from the user if there is a determination that the search query will benefit from the relevance feedback from the user. 92. The system of claim 91 wherein constructing the interactive display comprises constructing a timeline comprising: a) temporal event indicators; and b) temporal event summaries corresponding with the temporal event indicators. | 0.5 |
8,117,191 | 9 | 10 | 9. The XDBMS of claim 8 , wherein the access privilege index comprises one or more index entries each comprising a reference to a user and/or group, a reference to an XML document, an access privilege and/or an identifier. | 9. The XDBMS of claim 8 , wherein the access privilege index comprises one or more index entries each comprising a reference to a user and/or group, a reference to an XML document, an access privilege and/or an identifier. 10. The XDBMS of claim 9 , wherein the execution engine is configured to evaluate the first index entry of the access privilege index that matches the user and/or the groups according to an order defined by the identifiers of the index entries. | 0.5 |
8,965,893 | 2 | 3 | 2. The method of claim 1 , wherein determining whether the document should be grouped with the one or more previously created cluster summaries comprises: creating a feature vector for the document, the feature vector representing content of the documents; comparing the feature vector with the one or more previously created cluster summaries to identify the cluster summary that is closest to the feature vector and determining a measure of similarities between the cluster summary and the feature vector; determining whether the cluster summary that was identified as the closest to the feature vector is sufficiently close to the feature vector by comparing the measure of the similarities with one or more predetermined thresholds; and if the cluster summary that was identified as the closest to the feature vector is not sufficiently close, then determining that the document should not be grouped with the one or more previously created cluster summaries. | 2. The method of claim 1 , wherein determining whether the document should be grouped with the one or more previously created cluster summaries comprises: creating a feature vector for the document, the feature vector representing content of the documents; comparing the feature vector with the one or more previously created cluster summaries to identify the cluster summary that is closest to the feature vector and determining a measure of similarities between the cluster summary and the feature vector; determining whether the cluster summary that was identified as the closest to the feature vector is sufficiently close to the feature vector by comparing the measure of the similarities with one or more predetermined thresholds; and if the cluster summary that was identified as the closest to the feature vector is not sufficiently close, then determining that the document should not be grouped with the one or more previously created cluster summaries. 3. The method of claim 2 , further comprising: if it is determined that the document should be grouped with the one or more previously created cluster summaries then adding the feature vector to the cluster summary that was identified as the closest to the feature vector. | 0.538983 |
8,442,771 | 1 | 12 | 1. A method of using a data-processing apparatus, having a processor, to normalize an individual mention of a subcellular entity within a biomedical text document, the method comprising using the data-processing apparatus to carry out: inputting said individual mention of a subcellular entity; selecting a group of identifiers of subcellular entities, said subcellular entities being referred to in biomedical text with the same character string and being from different species, each of said species being a taxonomic group of organisms which can interbreed; generating, using said processor, a species identifier that identifies the species of said individual mention of a subcellular entity from the context of said mention of a subcellular entity; selecting an identifier from said group of identifiers, taking into account the species identifier that identifies the species of said individual mention of a subcellular entity; and outputting said identifier to provide a normalized reference to said subcellular entity. | 1. A method of using a data-processing apparatus, having a processor, to normalize an individual mention of a subcellular entity within a biomedical text document, the method comprising using the data-processing apparatus to carry out: inputting said individual mention of a subcellular entity; selecting a group of identifiers of subcellular entities, said subcellular entities being referred to in biomedical text with the same character string and being from different species, each of said species being a taxonomic group of organisms which can interbreed; generating, using said processor, a species identifier that identifies the species of said individual mention of a subcellular entity from the context of said mention of a subcellular entity; selecting an identifier from said group of identifiers, taking into account the species identifier that identifies the species of said individual mention of a subcellular entity; and outputting said identifier to provide a normalized reference to said subcellular entity. 12. A storage medium having a set of instructions executable by a computer, for causing the processor to carry out the method of claim 1 . | 0.868571 |
8,037,051 | 14 | 20 | 14. A non-transitory computer-readable storage medium storing modules that, when executed by a processor, cause a computer to perform a method of searching for media objects associated with a search term, the method comprising: firstly retrieving, based upon a received first search term, at least one web page; analyzing at least one positional relationship between terms within an individual one of said at least one web page to determine additional search terms based on said received first search term; scoring the at least one positional relationship between terms, wherein said first search term and said additional search terms are the terms within the individual one of said at least one web page, and the scoring is based upon a distance between said first search term and said additional search terms within the individual one of said at least one web page; and secondly retrieving, based upon the additional search terms, at least one media object. | 14. A non-transitory computer-readable storage medium storing modules that, when executed by a processor, cause a computer to perform a method of searching for media objects associated with a search term, the method comprising: firstly retrieving, based upon a received first search term, at least one web page; analyzing at least one positional relationship between terms within an individual one of said at least one web page to determine additional search terms based on said received first search term; scoring the at least one positional relationship between terms, wherein said first search term and said additional search terms are the terms within the individual one of said at least one web page, and the scoring is based upon a distance between said first search term and said additional search terms within the individual one of said at least one web page; and secondly retrieving, based upon the additional search terms, at least one media object. 20. The computer-readable storage medium of claim 14 , wherein said firstly retrieving comprises accessing an internet search engine. | 0.725207 |
9,063,974 | 16 | 23 | 16. A coprocessor that is configured to perform the steps of: reading a scan operation command (1) that was generated by a microprocessor, that is separate from the coprocessor and that executes instructions related to query processing, in response to the microprocessor determining that a query includes a scan operation; and (2) that includes, as parameters of the scan operation command, address data that is used to identify input data to be read by the coprocessor and one or more values that are used to compare against the input data; causing the input data to be read from a location that is indicated by the address data; performing a comparison between the input data and the one or more values; generating a result data based on the comparison; causing the microprocessor to be notified of the result data. | 16. A coprocessor that is configured to perform the steps of: reading a scan operation command (1) that was generated by a microprocessor, that is separate from the coprocessor and that executes instructions related to query processing, in response to the microprocessor determining that a query includes a scan operation; and (2) that includes, as parameters of the scan operation command, address data that is used to identify input data to be read by the coprocessor and one or more values that are used to compare against the input data; causing the input data to be read from a location that is indicated by the address data; performing a comparison between the input data and the one or more values; generating a result data based on the comparison; causing the microprocessor to be notified of the result data. 23. The coprocessor of claim 16 , wherein: the address data included in the scan operation command includes one or more virtual addresses; the coprocessor is further configured to perform the step of causing the one or more virtual addresses to be replaced with one or more physical addresses that the coprocessor uses to read the input data. | 0.730709 |
8,892,546 | 2 | 3 | 2. The method according to claim 1 , comprising displaying fired runtime query rules. | 2. The method according to claim 1 , comprising displaying fired runtime query rules. 3. The method according to claim 2 , wherein said according of a dynamic function comprises according a function for validating an effect of editing a search query rule. | 0.5 |
9,412,392 | 47 | 48 | 47. A method for processing voice commands, the method comprising: at a electronic device: receiving user input; in response to receiving user input, recording at least a portion of a voice command; storing contextual information of the electronic device, the contextual information related to a state of the electronic device at a time the at least a portion of the voice command is recorded; after recording the at least a portion of the voice command and storing the contextual information, transmitting the at least a portion of the recorded voice command and the stored contextual information from the electronic device to remote computing equipment; and receiving, from the remote computing equipment, data related to processing the voice command. | 47. A method for processing voice commands, the method comprising: at a electronic device: receiving user input; in response to receiving user input, recording at least a portion of a voice command; storing contextual information of the electronic device, the contextual information related to a state of the electronic device at a time the at least a portion of the voice command is recorded; after recording the at least a portion of the voice command and storing the contextual information, transmitting the at least a portion of the recorded voice command and the stored contextual information from the electronic device to remote computing equipment; and receiving, from the remote computing equipment, data related to processing the voice command. 48. The method of claim 47 , wherein the storing contextual information of the electronic device is performed while recording the at least a portion of the voice command. | 0.746269 |
8,065,307 | 12 | 13 | 12. A system for performing claim analysis, comprising: a computer, comprising: an analysis application configured to perform steps, comprising: parsing a dependent claim to obtain one or more claim strings, each claim string comprising words within a dependent claim element; determining a number of claim strings of the dependent claim; initializing a dependent claim score by merging the number of claim strings with a first factor; and for each claim string parsed from the dependent claim: computing a word count for the words within the claim string, determining a weighted word count based on the word count and a second factor, merging the weighted word count to the dependent claim score; determining a parent claim score associated with a parent claim of the dependent claim; and merging the parent claim score with the dependent claim score. | 12. A system for performing claim analysis, comprising: a computer, comprising: an analysis application configured to perform steps, comprising: parsing a dependent claim to obtain one or more claim strings, each claim string comprising words within a dependent claim element; determining a number of claim strings of the dependent claim; initializing a dependent claim score by merging the number of claim strings with a first factor; and for each claim string parsed from the dependent claim: computing a word count for the words within the claim string, determining a weighted word count based on the word count and a second factor, merging the weighted word count to the dependent claim score; determining a parent claim score associated with a parent claim of the dependent claim; and merging the parent claim score with the dependent claim score. 13. The system of claim 12 , further comprising: a natural language processing system wherein the natural language processing system determines logical relations within the claim, each logical relation comprising two or more words and a logical relationship between the two or more words, and the natural language processing system determines the claim strings based on logical relations. | 0.559091 |
8,473,507 | 15 | 16 | 15. A computer-implemented method comprising: generating a first tokenized search suggestion using a first selected suggestion and a first default suggestion scope; generating a first search query using the first tokenized search suggestion; performing a first search using the first search query; receiving an input indicating to change the first default suggestion scope to a second suggestion scope; generating an updated first tokenized search suggestion using the selected suggestion and the second suggestion scope; generating a second search query using the updated first tokenized search suggestion; performing a second search using the second search query; displaying results of the second search; generating additional search suggestions from a text input; receiving a selection of a second selected suggestion from the additional search suggestions; generating a second tokenized search suggestion using the second selected suggestion and a second default suggestion scope; and generating a third search query using the updated first tokenized search suggestion and the second tokenized search suggestion. | 15. A computer-implemented method comprising: generating a first tokenized search suggestion using a first selected suggestion and a first default suggestion scope; generating a first search query using the first tokenized search suggestion; performing a first search using the first search query; receiving an input indicating to change the first default suggestion scope to a second suggestion scope; generating an updated first tokenized search suggestion using the selected suggestion and the second suggestion scope; generating a second search query using the updated first tokenized search suggestion; performing a second search using the second search query; displaying results of the second search; generating additional search suggestions from a text input; receiving a selection of a second selected suggestion from the additional search suggestions; generating a second tokenized search suggestion using the second selected suggestion and a second default suggestion scope; and generating a third search query using the updated first tokenized search suggestion and the second tokenized search suggestion. 16. The computer-implemented method of claim 15 , wherein the first default suggestion scope is configurable by a user. | 0.814642 |
8,432,368 | 36 | 39 | 36. The computing device of claim 18 , comprising a plurality of force sensitive sensors positioned on the case and coupled to the processor. | 36. The computing device of claim 18 , comprising a plurality of force sensitive sensors positioned on the case and coupled to the processor. 39. The computing device of claim 36 , wherein a portion of the plurality of force sensitive sensors are positioned on each side of the case and a portion of the plurality of force sensitive sensors are positioned on each side of the case. | 0.5 |
8,818,992 | 12 | 14 | 12. An apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: cause, at least in part, a submission of a search query from a user device to two or more search domains; cause, at least in part, a ranking of results objects from the two or more search domains in response to the search query, wherein the results objects are ranked using ranking criteria that are specified by each of the respective search domains and that are different for said each of the respective search domains; cause, at least in part, determine a rank value for each of the results objects based on common ranking criteria; cause, at least in part, ordering the results objects based at least in part on the rank values determined using the common ranking criteria; and cause, at least in part, determine to send the ordered results for rendering in a user interface, wherein at least one of the ranking criterion of the common ranking criteria accounts for a context of the user device when determining the rank value for each of the results objects. | 12. An apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: cause, at least in part, a submission of a search query from a user device to two or more search domains; cause, at least in part, a ranking of results objects from the two or more search domains in response to the search query, wherein the results objects are ranked using ranking criteria that are specified by each of the respective search domains and that are different for said each of the respective search domains; cause, at least in part, determine a rank value for each of the results objects based on common ranking criteria; cause, at least in part, ordering the results objects based at least in part on the rank values determined using the common ranking criteria; and cause, at least in part, determine to send the ordered results for rendering in a user interface, wherein at least one of the ranking criterion of the common ranking criteria accounts for a context of the user device when determining the rank value for each of the results objects. 14. The apparatus of claim 12 , wherein accounting for the context of the apparatus comprises causing, at least in part, using the context differently to adjust the rank values depending on the domain from which each of the search results originated. | 0.5 |
7,536,640 | 10 | 11 | 10. A computer readable storage medium comprising instructions to be executed by a computer, the computer readable storage medium further comprising a web page resulting from performing a method, the method comprising: automatically identifying a text string to be included in the web page, from an identifier that specifically uniquely the text string in a repository of text strings in the computer, the identifier being supplied by a function that needs to display the text string; automatically preparing a source-descriptive version of the text string in accordance with a predetermined syntax, the source-descriptive version comprising each item in a group consisting of (the text string and the identifier of the text string); and automatically preparing the web page to comprise the source-descriptive version. | 10. A computer readable storage medium comprising instructions to be executed by a computer, the computer readable storage medium further comprising a web page resulting from performing a method, the method comprising: automatically identifying a text string to be included in the web page, from an identifier that specifically uniquely the text string in a repository of text strings in the computer, the identifier being supplied by a function that needs to display the text string; automatically preparing a source-descriptive version of the text string in accordance with a predetermined syntax, the source-descriptive version comprising each item in a group consisting of (the text string and the identifier of the text string); and automatically preparing the web page to comprise the source-descriptive version. 11. The computer readable storage medium of claim 10 wherein the webpage comprises: a plurality of tags in conformance with HTML. | 0.5 |
8,175,811 | 3 | 4 | 3. A scientist-centric interface system for conducting research using a mass spectrometry instrument with an informatics search tool that utilizes a search algorithm to identify biomolecules, the search algorithm having a set of predefined algorithm control parameters used to control how the search algorithm operates, comprising: a user interface that prompts a user to supply scientist-centric information expressed utilizing terminology of a scientific domain selected from the domains of biology, analytical chemistry or any combination thereof; a translation system receptive of said scientist-centric information and operative to generate control parameters selected from said set of predefined algorithm control parameters and said translation system having a search algorithm interface whereby said generated control parameters are supplied to said search algorithm to control how the algorithm operates, wherein the set of predefined algorithm control parameters includes a parameter indicative of an algorithmic taxonomy filter setting and wherein said translation system generates said algorithmic taxonomy filter setting parameter based on supplied scientist-centric information relating to species of a sample. | 3. A scientist-centric interface system for conducting research using a mass spectrometry instrument with an informatics search tool that utilizes a search algorithm to identify biomolecules, the search algorithm having a set of predefined algorithm control parameters used to control how the search algorithm operates, comprising: a user interface that prompts a user to supply scientist-centric information expressed utilizing terminology of a scientific domain selected from the domains of biology, analytical chemistry or any combination thereof; a translation system receptive of said scientist-centric information and operative to generate control parameters selected from said set of predefined algorithm control parameters and said translation system having a search algorithm interface whereby said generated control parameters are supplied to said search algorithm to control how the algorithm operates, wherein the set of predefined algorithm control parameters includes a parameter indicative of an algorithmic taxonomy filter setting and wherein said translation system generates said algorithmic taxonomy filter setting parameter based on supplied scientist-centric information relating to species of a sample. 4. The system of claim 3 wherein said user interface does not prompt the user to explicitly supply said algorithmic taxonomy filter setting parameter. | 0.5 |
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