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9,331,973 | 11 | 16 | 11. An apparatus, comprising: one or more processors; memory; and a program module, wherein the program module is stored in the memory and, during operation of the apparatus, is executed by the one or more processors to aggregate topic content, the program module including: instructions for providing a user-interface for an online social network website to one or more user computers for installation on the one or more user computers; instructions for receiving, at a transmission server for the provider of the online social-network website, one or more skills of users in the social network, wherein the one or more skills of each of the users is indicated in the profile of the user, and wherein the transmission server comprises a processor and a memory; instructions for receiving, at the transmission server, annotations associated with content in the social network, wherein each annotation associated with content indicates a feedback provided by a user in the social network regarding the content; instructions for storing the received one or more skills of a user in association with the profile of the user in a partitioned user profile data section of the memory; instructions for storing the received annotations associated with content in a partitioned content annotations data section of the memory; instructions for determining, using the processor, a set of topics based on an overlap between the received skills and the received annotations; instructions for identifying, using the processor, experts knowledgeable about the set of topics among the users in the social network; instructions for transmitting, over a data channel, from the transmission server of the provider of the social network to the one or more user computers, one or more messages inviting the experts to aggregate and edit the topic content, wherein given topic content for a given topic in the set of topics includes a subset of the content; instructions for receiving over the data channel, at the transmission server from the one or more user computers, responses to the messages from at least a subset of the experts; instructions for providing over the data channel, from the transmission server to the one or more user computers, to the subset of the experts, documents with suggested topic content and presentation formats for the topics in the set of topics; instructions for receiving over the data channel, at the transmission server, from the one or more user computers, from the subset of the experts, modifications to the documents; instructions for revising the documents based on the modifications; instructions for storing the revised documents in the memory associated with the transmission server; and instructions for transmitting one or more of the stored documents over the data channel, from the transmission server to a user computer, wherein the user computer is associated with a member of the social network, and wherein the transmitted document is available for display on the user computer using the user-interface for the social network application. | 11. An apparatus, comprising: one or more processors; memory; and a program module, wherein the program module is stored in the memory and, during operation of the apparatus, is executed by the one or more processors to aggregate topic content, the program module including: instructions for providing a user-interface for an online social network website to one or more user computers for installation on the one or more user computers; instructions for receiving, at a transmission server for the provider of the online social-network website, one or more skills of users in the social network, wherein the one or more skills of each of the users is indicated in the profile of the user, and wherein the transmission server comprises a processor and a memory; instructions for receiving, at the transmission server, annotations associated with content in the social network, wherein each annotation associated with content indicates a feedback provided by a user in the social network regarding the content; instructions for storing the received one or more skills of a user in association with the profile of the user in a partitioned user profile data section of the memory; instructions for storing the received annotations associated with content in a partitioned content annotations data section of the memory; instructions for determining, using the processor, a set of topics based on an overlap between the received skills and the received annotations; instructions for identifying, using the processor, experts knowledgeable about the set of topics among the users in the social network; instructions for transmitting, over a data channel, from the transmission server of the provider of the social network to the one or more user computers, one or more messages inviting the experts to aggregate and edit the topic content, wherein given topic content for a given topic in the set of topics includes a subset of the content; instructions for receiving over the data channel, at the transmission server from the one or more user computers, responses to the messages from at least a subset of the experts; instructions for providing over the data channel, from the transmission server to the one or more user computers, to the subset of the experts, documents with suggested topic content and presentation formats for the topics in the set of topics; instructions for receiving over the data channel, at the transmission server, from the one or more user computers, from the subset of the experts, modifications to the documents; instructions for revising the documents based on the modifications; instructions for storing the revised documents in the memory associated with the transmission server; and instructions for transmitting one or more of the stored documents over the data channel, from the transmission server to a user computer, wherein the user computer is associated with a member of the social network, and wherein the transmitted document is available for display on the user computer using the user-interface for the social network application. 16. The apparatus of claim 11 , wherein the documents include web pages. | 0.748252 |
9,710,463 | 13 | 14 | 13. The method of claim 1 , wherein processing the first data representation further comprises at least one of: tagging one or more unambiguous words over a span of words within the first data representation; tagging one or more ambiguous words over the span of words within the first data representation; and predicting the one or more tagged ambiguous words based, at least in part, upon the one or more tagged unambiguous words. | 13. The method of claim 1 , wherein processing the first data representation further comprises at least one of: tagging one or more unambiguous words over a span of words within the first data representation; tagging one or more ambiguous words over the span of words within the first data representation; and predicting the one or more tagged ambiguous words based, at least in part, upon the one or more tagged unambiguous words. 14. The method of claim 13 , wherein predicting the one or more tagged ambiguous words comprises one or more of: (i) determining a phrase pair associated with each of the one or more tagged ambiguous words; (ii) searching an inventory of source phrase keywords; (iii) determining a prediction based upon a supervised model; and (iv) receiving input from the first user. | 0.90086 |
9,679,072 | 1 | 6 | 1. A system of a mobile device, Alpha, and a mobile device, Beta; where Alpha is controlled by a first user; where Beta is controlled by a second user; where the first user and the second user are different persons; where Alpha shows a first image; where Alpha makes a data containing an Universal Resource Locator (URL) of the first image; where the data furthermore contains an electronic address of the first user; where Alpha displays the data in a barcode as a second image; where Beta has a camera; where Beta scans the barcode with the camera to obtain an image Phi; where Beta decodes Phi to extract the data; where Beta sends an electronic message to the electronic address of the first user; where the electronic message contains an electronic address of the second user. | 1. A system of a mobile device, Alpha, and a mobile device, Beta; where Alpha is controlled by a first user; where Beta is controlled by a second user; where the first user and the second user are different persons; where Alpha shows a first image; where Alpha makes a data containing an Universal Resource Locator (URL) of the first image; where the data furthermore contains an electronic address of the first user; where Alpha displays the data in a barcode as a second image; where Beta has a camera; where Beta scans the barcode with the camera to obtain an image Phi; where Beta decodes Phi to extract the data; where Beta sends an electronic message to the electronic address of the first user; where the electronic message contains an electronic address of the second user. 6. The system of claim 1 , where the data includes key words describing the first image. | 0.881081 |
9,176,952 | 1 | 5 | 1. A computerized system for performing statistical machine translation, the system comprising: a statistical machine translation engine executed on a user computing device, the statistical machine translation engine trained on a bilingual parallel corpus including source language documents and a corresponding target human translation of the source language documents, and configured to receive a translation input and to produce a raw machine translation output, at run-time; a phrasal decoder, separate and distinct from the statistical machine translation engine, executed on the user computing device, the phrasal decoder being trained prior to run-time on a monolingual parallel corpus, the monolingual parallel corpus including a machine translation output of the source language documents of the bilingual parallel corpus and the corresponding target human translation output of the source language documents of the bilingual parallel corpus, to thereby learn mappings and build a phrase table by establishing phrase pairs between the machine translation output and the target human translation output, wherein the machine translation output is unedited by human translators, and wherein the phrasal decoder is trained prior to run-time on a developer computing device on which the bilingual parallel corpus is stored, assigning to each phrase pair a statistical score representing a utility of each phrase pair; and wherein at run-time on the user computing device the phrasal decoder is configured to process the raw machine translation output, and to produce a corrected translation output based on the learned mappings and the phrase table, programmatically correcting the raw machine translation output if a statistical score for correspondence of the phrase pair is above a predetermined threshold. | 1. A computerized system for performing statistical machine translation, the system comprising: a statistical machine translation engine executed on a user computing device, the statistical machine translation engine trained on a bilingual parallel corpus including source language documents and a corresponding target human translation of the source language documents, and configured to receive a translation input and to produce a raw machine translation output, at run-time; a phrasal decoder, separate and distinct from the statistical machine translation engine, executed on the user computing device, the phrasal decoder being trained prior to run-time on a monolingual parallel corpus, the monolingual parallel corpus including a machine translation output of the source language documents of the bilingual parallel corpus and the corresponding target human translation output of the source language documents of the bilingual parallel corpus, to thereby learn mappings and build a phrase table by establishing phrase pairs between the machine translation output and the target human translation output, wherein the machine translation output is unedited by human translators, and wherein the phrasal decoder is trained prior to run-time on a developer computing device on which the bilingual parallel corpus is stored, assigning to each phrase pair a statistical score representing a utility of each phrase pair; and wherein at run-time on the user computing device the phrasal decoder is configured to process the raw machine translation output, and to produce a corrected translation output based on the learned mappings and the phrase table, programmatically correcting the raw machine translation output if a statistical score for correspondence of the phrase pair is above a predetermined threshold. 5. The computerized system of claim 1 , wherein the statistical machine translation engine is configured to translate between each of a plurality of language pairs, each language pair having a source language and a target language; wherein the monolingual parallel corpus is one of a plurality of monolingual parallel corpora that the phrasal decoder is trained on, each of the monolingual parallel corpora being for a target language in one of the language pairs, and each of the monolingual parallel corpora including a machine translation output and a corresponding target human translation output; and wherein the target human translation output for each monolingual parallel corpora is from a corresponding bilingual parallel corpus for one of the language pairs. | 0.50065 |
8,423,508 | 1 | 10 | 1. A method of context-aware communication, comprising: obtaining, by an access terminal, a plurality of terminal data representing a current operating environment of the access terminal from a plurality of access terminal subsystems, one or more terminal applications, or a combination of both; storing the plurality of terminal data obtained over time in a historical database; determining at least one context corresponding to a portion of the plurality of terminal data by: receiving a user input on the access terminal at a first time that defines the respective context identifier, recognizing a relationship between the plurality of terminal data obtained at the first time and the plurality of terminal data in the historical database, identifying the portion of the plurality of terminal data corresponding to the context based on the recognized relationship, and associating the portion of the plurality of terminal data with the respective context identifier; creating a context profile having a context identifier identifying each context, wherein each context profile comprises profile parameters corresponding to the respective portion of the plurality of terminal data determined to correspond to the respective context; and storing each context profile. | 1. A method of context-aware communication, comprising: obtaining, by an access terminal, a plurality of terminal data representing a current operating environment of the access terminal from a plurality of access terminal subsystems, one or more terminal applications, or a combination of both; storing the plurality of terminal data obtained over time in a historical database; determining at least one context corresponding to a portion of the plurality of terminal data by: receiving a user input on the access terminal at a first time that defines the respective context identifier, recognizing a relationship between the plurality of terminal data obtained at the first time and the plurality of terminal data in the historical database, identifying the portion of the plurality of terminal data corresponding to the context based on the recognized relationship, and associating the portion of the plurality of terminal data with the respective context identifier; creating a context profile having a context identifier identifying each context, wherein each context profile comprises profile parameters corresponding to the respective portion of the plurality of terminal data determined to correspond to the respective context; and storing each context profile. 10. The method of claim 1 , further comprising: monitoring the obtained plurality of terminal data for terminal data matching the respective portion of the plurality of terminal data determined to correspond to each respective context; generating a context state event upon a determination of a match to each context; and performing a context action based on the context state event. | 0.709848 |
7,497,778 | 1 | 12 | 1. A method of conducting a word based lottery game having a plurality of players, comprising the steps of: for each game, the players wagering on an entry defined by a set of words; in a random draw process, randomly generating an outcome that is a concatenation of characters, the draw being such that each outcome can be assigned a probability of occurrence; defining a rule that confers the words in the player entry a win status based on the outcome of the draw producing characters that are used to form the respective words in the player entry; selecting winning entries based on the words in an entry that are conferred a win status; and assigning a prize for each winning entry as a function of a value assigned to each of the words in the player entry formed by the randomly drawn characters, the value based on the commonality of the characters that form the words in the player entry. | 1. A method of conducting a word based lottery game having a plurality of players, comprising the steps of: for each game, the players wagering on an entry defined by a set of words; in a random draw process, randomly generating an outcome that is a concatenation of characters, the draw being such that each outcome can be assigned a probability of occurrence; defining a rule that confers the words in the player entry a win status based on the outcome of the draw producing characters that are used to form the respective words in the player entry; selecting winning entries based on the words in an entry that are conferred a win status; and assigning a prize for each winning entry as a function of a value assigned to each of the words in the player entry formed by the randomly drawn characters, the value based on the commonality of the characters that form the words in the player entry. 12. The method of claim 1 , wherein a word conferred a win status for an entry includes an instance of a character in a draw used at most once. | 0.687773 |
7,599,844 | 12 | 13 | 12. A method in a computing system of initiating payment for a transaction made with a handheld data capture device, comprising: receiving a subscriber identifier stored in the handheld data capture device, wherein the handheld data capture device is configured to capture text-based portions of rendered documents; identifying a relationship between a subscriber and the handheld data capture device using the subscriber identifier; and billing the subscriber having the identified relationship. | 12. A method in a computing system of initiating payment for a transaction made with a handheld data capture device, comprising: receiving a subscriber identifier stored in the handheld data capture device, wherein the handheld data capture device is configured to capture text-based portions of rendered documents; identifying a relationship between a subscriber and the handheld data capture device using the subscriber identifier; and billing the subscriber having the identified relationship. 13. The method of claim 12 , wherein the subscriber identifier is an identifier associated with the handheld data capture device, and the subscriber is identified based on the identifier associated with the handheld data capture device. | 0.50211 |
5,475,738 | 1 | 2 | 1. A method of storing a voice message in a voice messaging system, the voice messaging system having a human operator interface associated therewith, the voice message based on a text message from a text messaging system, the text messaging system comprising one or more addressable nodes including a messaging system interface node, the text messaging system and the voice messaging system coupled by a communications network, the method comprising the steps of: the messaging system interface node receiving the text message from the text messaging system based on an address of the messaging system interface node; the messaging system interface node generating a voice message responsive to the text message; the messaging system interface node communicating interface signals over the communications network to access the voice messaging system, the interface signals for simulating human operation of the voice messaging system in accordance with the human operator interface associated therewith; and communicating the voice message over the communications network to the voice messaging system for storage. | 1. A method of storing a voice message in a voice messaging system, the voice messaging system having a human operator interface associated therewith, the voice message based on a text message from a text messaging system, the text messaging system comprising one or more addressable nodes including a messaging system interface node, the text messaging system and the voice messaging system coupled by a communications network, the method comprising the steps of: the messaging system interface node receiving the text message from the text messaging system based on an address of the messaging system interface node; the messaging system interface node generating a voice message responsive to the text message; the messaging system interface node communicating interface signals over the communications network to access the voice messaging system, the interface signals for simulating human operation of the voice messaging system in accordance with the human operator interface associated therewith; and communicating the voice message over the communications network to the voice messaging system for storage. 2. The method according to claim 1 wherein the communications network comprises a telephone network and the signals comprise telephone access signals. | 0.769939 |
8,893,098 | 1 | 6 | 1. A computer-implemented method for facilitating the development and execution of a software program, comprising during runtime of the software program: during runtime of the software program; delaying type inference on a generic type parameter of an implementation of an overloaded function that is invoked in the software program, wherein the generic type parameter is associated with a type interval comprising an unbounded lower limit and one or more self-typed constraints; upon detecting a type query for a dynamic type of the generic type parameter, comparing a queried type from the type query with a set of inference choices for the generic type parameter; and when the comparing indicates that the queried type matches an inference choice from the set of inference choices, using the inference choice to perform type inference on the generic type parameter; if the queried type does not match any of the inference choices, further delaying type inference on the generic type parameter. | 1. A computer-implemented method for facilitating the development and execution of a software program, comprising during runtime of the software program: during runtime of the software program; delaying type inference on a generic type parameter of an implementation of an overloaded function that is invoked in the software program, wherein the generic type parameter is associated with a type interval comprising an unbounded lower limit and one or more self-typed constraints; upon detecting a type query for a dynamic type of the generic type parameter, comparing a queried type from the type query with a set of inference choices for the generic type parameter; and when the comparing indicates that the queried type matches an inference choice from the set of inference choices, using the inference choice to perform type inference on the generic type parameter; if the queried type does not match any of the inference choices, further delaying type inference on the generic type parameter. 6. The computer-implemented method of claim 1 , wherein the type interval further comprises an upper limit. | 0.884698 |
8,972,872 | 7 | 13 | 7. The apparatus according to claim 1 , wherein the controller further searches for a task based upon a query against all possible tasks. | 7. The apparatus according to claim 1 , wherein the controller further searches for a task based upon a query against all possible tasks. 13. The apparatus according to claim 7 , wherein the controller searches for a plurality of tasks and the plurality of searched tasks are grouped by similarity of services among the tasks. | 0.97045 |
8,880,546 | 1 | 7 | 1. A computer program embodied on a non-transitory computer readable storage medium containing instructions that when executed by a processor cause a computer to: identify a set of keywords, the set including a plurality of keywords; determine historical activity data indicative of activity previously performed with respect to the set of keywords, including determining for each keyword of the plurality of keywords a portion of the historical activity data involving the keyword; compare the historical activity data to a plurality of predefined thresholds, including for each keyword of the plurality of keywords, comparing at least a threshold predefined for the keyword to the portion of the historical activity data involving the keyword; and automatically perform an action for refining the set of keywords, including removing a keyword from the set of keywords, when a result of the comparison indicates that the portion of the historical activity data involving the keyword does not meet the threshold predefined for the keyword. | 1. A computer program embodied on a non-transitory computer readable storage medium containing instructions that when executed by a processor cause a computer to: identify a set of keywords, the set including a plurality of keywords; determine historical activity data indicative of activity previously performed with respect to the set of keywords, including determining for each keyword of the plurality of keywords a portion of the historical activity data involving the keyword; compare the historical activity data to a plurality of predefined thresholds, including for each keyword of the plurality of keywords, comparing at least a threshold predefined for the keyword to the portion of the historical activity data involving the keyword; and automatically perform an action for refining the set of keywords, including removing a keyword from the set of keywords, when a result of the comparison indicates that the portion of the historical activity data involving the keyword does not meet the threshold predefined for the keyword. 7. The computer program of claim 1 , wherein the historical activity data indicative of the activity previously performed with respect to the set of keywords includes a volume of online activity associated with the set of keywords. | 0.502155 |
8,447,751 | 1 | 10 | 1. A method comprising: receiving, by an optimization engine executing on a computing system, an identifier for a network document; performing an on-demand analysis of the network document to determine a search engine score for the network document, wherein analyzing the network document includes: determining a number of links included in the network document by analyzing a structure of the network document; determining a number of incoming links to the network document; and generating separate specific traffic-independent scoring analyses for each of the links included in the network document, wherein each of the separate specific traffic-independent scoring analyses are visually-navigable; and generating, by the optimization engine based on the received identifier and independently of a user-specified search word or phrase, a display of the search engine score along with a first level of scoring detail for the network document, wherein the search engine score is determined by evaluating the network document using one or more traffic-independent scoring factors and wherein the network document is ranked based on the one or more traffic-independent scoring factors, and wherein the ranking is determined by combining the search engine score and a link flow distribution that indicates the likelihood that a user will access the network document relative to a second network document, wherein the network document and the second network document are within the same web site; receiving a request to display details of the one or more traffic-independent scoring factors; in response to the request: generating, by the optimization engine, the details of the one or more traffic-independent scoring factors by performing an on-demand analysis of the one or more traffic-independent scoring factors; and generating a display of a second level of scoring detail including the details of the one or more traffic-independent scoring factors, wherein the second level of scoring detail includes a plurality of non-traffic attributes. | 1. A method comprising: receiving, by an optimization engine executing on a computing system, an identifier for a network document; performing an on-demand analysis of the network document to determine a search engine score for the network document, wherein analyzing the network document includes: determining a number of links included in the network document by analyzing a structure of the network document; determining a number of incoming links to the network document; and generating separate specific traffic-independent scoring analyses for each of the links included in the network document, wherein each of the separate specific traffic-independent scoring analyses are visually-navigable; and generating, by the optimization engine based on the received identifier and independently of a user-specified search word or phrase, a display of the search engine score along with a first level of scoring detail for the network document, wherein the search engine score is determined by evaluating the network document using one or more traffic-independent scoring factors and wherein the network document is ranked based on the one or more traffic-independent scoring factors, and wherein the ranking is determined by combining the search engine score and a link flow distribution that indicates the likelihood that a user will access the network document relative to a second network document, wherein the network document and the second network document are within the same web site; receiving a request to display details of the one or more traffic-independent scoring factors; in response to the request: generating, by the optimization engine, the details of the one or more traffic-independent scoring factors by performing an on-demand analysis of the one or more traffic-independent scoring factors; and generating a display of a second level of scoring detail including the details of the one or more traffic-independent scoring factors, wherein the second level of scoring detail includes a plurality of non-traffic attributes. 10. The method of claim 1 , wherein the network document and second network document are webpages within the same website having a plurality of webpages, and wherein the link flow distribution of the network document indicates the likelihood that a user will access the network document relative to the plurality of webpages, the plurality of webpages including the second network document. | 0.638889 |
9,251,139 | 20 | 26 | 20. A system configured to extract conveyance records from unstructured text documents, the system comprising: one or more computer processors; and storage media, storing machine-readable instructions that, when executed by at least some of the one or more processors, cause operations comprising: obtaining a plurality of scanned, optical-character-recognized (OCR) documents, each having OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, wherein each document is associated with metadata identifying a jurisdiction in which the respective real property is located; determining, for each of the documents, a respective jurisdiction based on the metadata; selecting from a plurality of language processing models for the English language, a respective language processing model for each of the documents based on the respective determined jurisdiction, wherein a first language processing model is selected for at least some of the documents associated with a first jurisdiction and a second language processing model, different from the first language processing model, is selected for at least some of the documents associated with a second jurisdiction that is different from the first jurisdiction, and wherein each language processing model is configured to extract structured data from unstructured text, and wherein each language processing model is configured to detect different terminology used in different jurisdictions with different frequencies; extracting, for each of the documents, from the respective OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, a plurality of structured conveyance records from each of the plurality of documents by applying the language processing model selected for the respective document based on the jurisdiction associated with the document, wherein each extracted conveyance record identifies a plot of land in which an interest is conveyed by the respective document, identifies a grantor of the conveyance, identifies an grantee of the conveyance, and identifies the interest conveyed; and storing the extracted structured conveyance records in memory. | 20. A system configured to extract conveyance records from unstructured text documents, the system comprising: one or more computer processors; and storage media, storing machine-readable instructions that, when executed by at least some of the one or more processors, cause operations comprising: obtaining a plurality of scanned, optical-character-recognized (OCR) documents, each having OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, wherein each document is associated with metadata identifying a jurisdiction in which the respective real property is located; determining, for each of the documents, a respective jurisdiction based on the metadata; selecting from a plurality of language processing models for the English language, a respective language processing model for each of the documents based on the respective determined jurisdiction, wherein a first language processing model is selected for at least some of the documents associated with a first jurisdiction and a second language processing model, different from the first language processing model, is selected for at least some of the documents associated with a second jurisdiction that is different from the first jurisdiction, and wherein each language processing model is configured to extract structured data from unstructured text, and wherein each language processing model is configured to detect different terminology used in different jurisdictions with different frequencies; extracting, for each of the documents, from the respective OCR-produced English language text describing, in unstructured form, one or more conveyances of interest in real property, a plurality of structured conveyance records from each of the plurality of documents by applying the language processing model selected for the respective document based on the jurisdiction associated with the document, wherein each extracted conveyance record identifies a plot of land in which an interest is conveyed by the respective document, identifies a grantor of the conveyance, identifies an grantee of the conveyance, and identifies the interest conveyed; and storing the extracted structured conveyance records in memory. 26. The system of claim 20 , wherein the one or more language processing models comprise a language processing model trained on a training set of conveyance records and documents from which the conveyance records were extracted. | 0.809683 |
9,286,270 | 14 | 15 | 14. The apparatus of claim 13 , wherein content of the second document is indented relative to content of the first document. | 14. The apparatus of claim 13 , wherein content of the second document is indented relative to content of the first document. 15. The apparatus of claim 14 , further comprising displaying the third document in a sub-screen area of the second document, wherein content of the third document is indented relative to content of the second document. | 0.959683 |
9,251,717 | 12 | 22 | 12. A device for providing an augmentative and alternative communication (AAC) language system, the device comprising: a processor; a touch-sensitive display operably connected to the processor; and a computer readable medium operably connected to the processor, the computer readable medium containing a set of instructions configured to instruct the processor to perform the following: display a home screen on the touch-sensitive display, the home screen comprising a first plurality of user selectable communication keys, wherein each communication key represents a first word, receive, from the touch-sensitive display, a first indication of a user selection of a first key selected from the first plurality of user selectable communication keys, wherein the first key is located in a first position on the display, in response to receiving the first indication, determine whether the first key is linked to a secondary screen, if the first key is not linked to a secondary screen, output an audible signal representing the first word, and if the first key is linked to a secondary screen, display the secondary screen on the touch-sensitive display, the secondary screen comprising a second plurality of communication keys that are related to the first word, wherein: displaying the secondary screen comprises displaying the second plurality of communication keys that are related to the first word so that the second plurality of communication keys comprise words that are semantically related to the first word as different tenses, conjugations or forms of the first word, and displaying the second plurality of communication keys also comprises displaying the words that are semantically related to the first word on keys that are adjacent to the key containing the first word; wherein the AAC language system is configured so that each key of the secondary screen is configured to output an audible output signal corresponding to a word associated with the key of the secondary screen and the AAC language system will therefore audibly output each user selected word after no more than two user selections. | 12. A device for providing an augmentative and alternative communication (AAC) language system, the device comprising: a processor; a touch-sensitive display operably connected to the processor; and a computer readable medium operably connected to the processor, the computer readable medium containing a set of instructions configured to instruct the processor to perform the following: display a home screen on the touch-sensitive display, the home screen comprising a first plurality of user selectable communication keys, wherein each communication key represents a first word, receive, from the touch-sensitive display, a first indication of a user selection of a first key selected from the first plurality of user selectable communication keys, wherein the first key is located in a first position on the display, in response to receiving the first indication, determine whether the first key is linked to a secondary screen, if the first key is not linked to a secondary screen, output an audible signal representing the first word, and if the first key is linked to a secondary screen, display the secondary screen on the touch-sensitive display, the secondary screen comprising a second plurality of communication keys that are related to the first word, wherein: displaying the secondary screen comprises displaying the second plurality of communication keys that are related to the first word so that the second plurality of communication keys comprise words that are semantically related to the first word as different tenses, conjugations or forms of the first word, and displaying the second plurality of communication keys also comprises displaying the words that are semantically related to the first word on keys that are adjacent to the key containing the first word; wherein the AAC language system is configured so that each key of the secondary screen is configured to output an audible output signal corresponding to a word associated with the key of the secondary screen and the AAC language system will therefore audibly output each user selected word after no more than two user selections. 22. The device of claim 12 , wherein the instructions to display the secondary screen also comprise instructions to display the second plurality of communication keys that are related to the first word so that the second plurality of communication keys also comprise words so that when a second key is selected in the second screen, the word of the second key follows the first word in a sentence. | 0.501256 |
9,122,376 | 5 | 6 | 5. The method of claim 1 , further comprising: determining, by the computing device, a respective probability that each auto-complete word suggestion of the plurality of auto-complete word suggestions represents the one or more textual characters, wherein the respective probability of the first auto-complete word suggestion exceeds the respective probability of the second auto-complete word suggestion. | 5. The method of claim 1 , further comprising: determining, by the computing device, a respective probability that each auto-complete word suggestion of the plurality of auto-complete word suggestions represents the one or more textual characters, wherein the respective probability of the first auto-complete word suggestion exceeds the respective probability of the second auto-complete word suggestion. 6. The method of claim 5 , further comprising: determining, by the computing device, using an n-gram language model, the respective probability of at least one auto-complete word suggestion of the plurality of auto-complete word suggestions. | 0.946611 |
8,762,326 | 1 | 4 | 1. A method comprising: receiving, by one or more server devices of a topic ranking system, a user request; obtaining, by the one or more server devices, a list of popular topics, a ranking score for each topic in the list of popular topics, and a topic profile for a particular topic in the list of popular topics; identifying, by the one or more server devices, a user profile for a user associated with the user request; determining, by the one or more server devices, a personalization score for the particular topic in the list of popular topics, where the personalization score for the particular topic is based on one or more similarities between the user profile and the topic profile for the particular topic, determining the personalization score further comprising: representing the user profile as a first component that represents the user's interest in different subject matter categories, representing the topic profile as a second component that represents a relevance of the particular topic to the different subject matter categories, applying a vector similarity function to the first component and the second component to compute a similarity score for the first component and the second component, applying a transformation function to the similarity score computed based on applying the vector similarity function to the first component and the second component; and determining, as a boost factor, a numeric value for the personalization score based on a result of applying the transformation function to the similarity score; determining, by the one or more server devices, a revised ranking score for the particular topic in the list of popular topics based on the personalization score and the ranking score for the particular topic; and ranking, by the one or more server devices, the topics, in the list of popular topics, using the revised ranking score for the particular topic. | 1. A method comprising: receiving, by one or more server devices of a topic ranking system, a user request; obtaining, by the one or more server devices, a list of popular topics, a ranking score for each topic in the list of popular topics, and a topic profile for a particular topic in the list of popular topics; identifying, by the one or more server devices, a user profile for a user associated with the user request; determining, by the one or more server devices, a personalization score for the particular topic in the list of popular topics, where the personalization score for the particular topic is based on one or more similarities between the user profile and the topic profile for the particular topic, determining the personalization score further comprising: representing the user profile as a first component that represents the user's interest in different subject matter categories, representing the topic profile as a second component that represents a relevance of the particular topic to the different subject matter categories, applying a vector similarity function to the first component and the second component to compute a similarity score for the first component and the second component, applying a transformation function to the similarity score computed based on applying the vector similarity function to the first component and the second component; and determining, as a boost factor, a numeric value for the personalization score based on a result of applying the transformation function to the similarity score; determining, by the one or more server devices, a revised ranking score for the particular topic in the list of popular topics based on the personalization score and the ranking score for the particular topic; and ranking, by the one or more server devices, the topics, in the list of popular topics, using the revised ranking score for the particular topic. 4. The method of claim 1 , further comprising: generating the topic profile for the particular topic. | 0.914116 |
8,412,747 | 5 | 6 | 5. The method of claim 1 , further comprising: identifying particular words in a plurality of documents; removing one or more of the particular words from one or more documents of from the plurality of documents; and updating the particular information using words, included in the one or more documents, after removing the one or more of the particular words. | 5. The method of claim 1 , further comprising: identifying particular words in a plurality of documents; removing one or more of the particular words from one or more documents of from the plurality of documents; and updating the particular information using words, included in the one or more documents, after removing the one or more of the particular words. 6. The method of claim 5 , where the plurality of documents includes a plurality of web pages. | 0.969301 |
9,189,483 | 8 | 12 | 8. A system comprising: a processor; and a computer-readable storage medium having instruction stored which, when executed by the processor, result in the processor performing operations comprising: receiving, from a speech recognition system, recognized speech; identifying information about a speaker of the recognized speech from the recognized speech; and submitting the recognized speech and the information to a question-answering engine which selects and outputs a response associated with the recognized speech based on the recognized speech and the information. | 8. A system comprising: a processor; and a computer-readable storage medium having instruction stored which, when executed by the processor, result in the processor performing operations comprising: receiving, from a speech recognition system, recognized speech; identifying information about a speaker of the recognized speech from the recognized speech; and submitting the recognized speech and the information to a question-answering engine which selects and outputs a response associated with the recognized speech based on the recognized speech and the information. 12. The system of claim 8 , wherein the question-answering engine is integrated with the speech recognition system. | 0.736239 |
8,918,320 | 11 | 13 | 11. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: determine one or more locations of the apparatus and one or more times that the locations were determined in response to capturing voice data of speech content associated with one or more spoken reviews of one or more entities; analyze textual data and acoustic data corresponding to the voice data to detect whether the textual data or the acoustic data comprises one or more words indicating at least one sentiment of a user that spoke the speech content; and generate a review of at least one of the entities corresponding to one of the spoken reviews based in part on assigning at least one predefined sentiment to at least one of the words in response to detecting that the word indicates the sentiment of the user. | 11. An apparatus comprising: at least one processor; and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following: determine one or more locations of the apparatus and one or more times that the locations were determined in response to capturing voice data of speech content associated with one or more spoken reviews of one or more entities; analyze textual data and acoustic data corresponding to the voice data to detect whether the textual data or the acoustic data comprises one or more words indicating at least one sentiment of a user that spoke the speech content; and generate a review of at least one of the entities corresponding to one of the spoken reviews based in part on assigning at least one predefined sentiment to at least one of the words in response to detecting that the word indicates the sentiment of the user. 13. The apparatus of claim 11 , wherein the memory and computer program code are configured to, with the processor, cause the apparatus to: generate the review by determining that the predefined sentiment is associated with at least one attribute of the entity; and assign a rating to the attribute based on the predefined sentiment, the assigned rating is included in the generated review. | 0.689984 |
8,775,403 | 21 | 31 | 21. A computing system, comprising: one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: retrieving a number of document identifiers, each document identifier identifying a corresponding document on a network; and for each retrieved document identifier and its corresponding document, determining a query-independent score indicative of a rank of the corresponding document relative to other documents in a set of documents; determining a first score for the document identifier that is a function of the determined query-independent score, a determined content change frequency of the corresponding document, and an age of the corresponding document; comparing the first score against a threshold value thereby obtaining a result, wherein the threshold value is a function of a speed of the engine crawler system; and conditionally scheduling the corresponding document for indexing based on the result. | 21. A computing system, comprising: one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: retrieving a number of document identifiers, each document identifier identifying a corresponding document on a network; and for each retrieved document identifier and its corresponding document, determining a query-independent score indicative of a rank of the corresponding document relative to other documents in a set of documents; determining a first score for the document identifier that is a function of the determined query-independent score, a determined content change frequency of the corresponding document, and an age of the corresponding document; comparing the first score against a threshold value thereby obtaining a result, wherein the threshold value is a function of a speed of the engine crawler system; and conditionally scheduling the corresponding document for indexing based on the result. 31. The system of claim 21 , wherein the conditionally scheduling the corresponding document for indexing based on the result assigns the document to a periodic crawl layer when the result is deemed satisfactory. | 0.607407 |
7,546,295 | 1 | 4 | 1. A computer implemented method for automatically determining any of importance of an on-line asset and expertise that one or more members of an online community possess, without asking said community members directly identifying, extracting, capturing, and leveraging expertise and knowledge, comprising the processor executing the steps of: observing usage by a community of peers and experts who show high affinity in connection with online assets one or more documents; employing automatic techniques to extract patterns from said usage; identifying usefulness of an online asset by observing user implicit behaviors in connection with said usage patterns of said online asset and by extracting behavioral patterns from said observations; refining said identified online asset usefulness by context, wherein the context of each online asset is automatically detected based on observed terms/topics from individual and group user behaviors when said online asset is determined to be useful based upon said individual and group user behaviors; assigning to each said online asset a document impact factor score for each possible topic/term, said document impact factor representing the importance of each said online asset to each topic; assigning to each user an expert impact factor which is determined by aggregating identified topics of online assets each user has found useful, weighted by the document impact factor and by document rareness, wherein said expert impact factor and other observed patterns of behavior define a user's identified expertise; and using said identified expertise of each user to identify a community of experts given a specific topic/term of interest expressed by a user, and to identify a community of peers for a given user based upon a relationship between a target user's identified expertise and all other users; said observed usage patterns comprising user online search, navigation, and interaction behavior, said behavior including any of searches performed and position in user trail; assets viewed and position in user trail; dwell, range, scrolling, think time, and mouse movement on an asset; anchors and lines used in asset text; virtual bookmarks and virtual printing; and explicit downloading, emailing, printing, saving, and removing to or from a hardware storage device. | 1. A computer implemented method for automatically determining any of importance of an on-line asset and expertise that one or more members of an online community possess, without asking said community members directly identifying, extracting, capturing, and leveraging expertise and knowledge, comprising the processor executing the steps of: observing usage by a community of peers and experts who show high affinity in connection with online assets one or more documents; employing automatic techniques to extract patterns from said usage; identifying usefulness of an online asset by observing user implicit behaviors in connection with said usage patterns of said online asset and by extracting behavioral patterns from said observations; refining said identified online asset usefulness by context, wherein the context of each online asset is automatically detected based on observed terms/topics from individual and group user behaviors when said online asset is determined to be useful based upon said individual and group user behaviors; assigning to each said online asset a document impact factor score for each possible topic/term, said document impact factor representing the importance of each said online asset to each topic; assigning to each user an expert impact factor which is determined by aggregating identified topics of online assets each user has found useful, weighted by the document impact factor and by document rareness, wherein said expert impact factor and other observed patterns of behavior define a user's identified expertise; and using said identified expertise of each user to identify a community of experts given a specific topic/term of interest expressed by a user, and to identify a community of peers for a given user based upon a relationship between a target user's identified expertise and all other users; said observed usage patterns comprising user online search, navigation, and interaction behavior, said behavior including any of searches performed and position in user trail; assets viewed and position in user trail; dwell, range, scrolling, think time, and mouse movement on an asset; anchors and lines used in asset text; virtual bookmarks and virtual printing; and explicit downloading, emailing, printing, saving, and removing to or from a hardware storage device. 4. The method of claim 1 , further comprising the steps of: analyzing all observations; and via said analysis, generating a set of recommendations comprising distilled experiences from a community of users; wherein said recommendations age over time and are discarded if they have relatively little value; and wherein recommendations which are most valuable based on repeated usage are stored into a long term memory. | 0.738065 |
10,133,708 | 7 | 10 | 7. A computer system, comprising a processor and a memory device containing computer readable instructions configured to be executed by the processor to implement a method for persistently linking sources to text copied from the sources, the method comprising: said processor displaying a first electronic document, said displaying comprising displaying first text appearing in the first electronic document; said processor obtaining, from a web page differing from the first electronic document, both selected text and an address of a source electronic document that comprises the selected text in a temporary computer object; said processor generating the temporary computer object that includes the selected text and persistently links the selected text with the source electronic document object, said generating the temporary computer object comprising generating a header in the temporary computer object, said generating the header in the temporary computer object comprising: copying a first tag, a second tag, and the obtained address of the source electronic document into the header of the temporary computer object, wherein the first tag marks the beginning of the header and the second tag marks the end of the header, wherein the address of the source electronic document is disposed between the first tag and the second tag in the header, wherein the header consists of the first tag, an identifier of the temporary computer object, an attribute pertaining to the address of the source electronic document, the address of the source electronic document paired in the header with the attribute, additional information pertaining to the source electronic document, and the second tag, and wherein the additional information consists of an author of the source electronic document, a date of creation of the source electronic document, and an owner of the intellectual property rights of the source electronic document; said processor copying the obtained selected text into the temporary computer object; said processor copying a third tag into the temporary computer object, wherein the third tag marks the end of the temporary computer object, and wherein the selected text is disposed between the header of the temporary computer object and the third tag, wherein the selected text in the temporary computer object is persistently linked with the source electronic document via the address of the source electronic document in the temporary computer object; said processor storing the temporary computer object in the first electronic document after the first text, wherein the temporary computer object in the first electronic document persistently links the selected text with the source electronic document that comprises the selected text. | 7. A computer system, comprising a processor and a memory device containing computer readable instructions configured to be executed by the processor to implement a method for persistently linking sources to text copied from the sources, the method comprising: said processor displaying a first electronic document, said displaying comprising displaying first text appearing in the first electronic document; said processor obtaining, from a web page differing from the first electronic document, both selected text and an address of a source electronic document that comprises the selected text in a temporary computer object; said processor generating the temporary computer object that includes the selected text and persistently links the selected text with the source electronic document object, said generating the temporary computer object comprising generating a header in the temporary computer object, said generating the header in the temporary computer object comprising: copying a first tag, a second tag, and the obtained address of the source electronic document into the header of the temporary computer object, wherein the first tag marks the beginning of the header and the second tag marks the end of the header, wherein the address of the source electronic document is disposed between the first tag and the second tag in the header, wherein the header consists of the first tag, an identifier of the temporary computer object, an attribute pertaining to the address of the source electronic document, the address of the source electronic document paired in the header with the attribute, additional information pertaining to the source electronic document, and the second tag, and wherein the additional information consists of an author of the source electronic document, a date of creation of the source electronic document, and an owner of the intellectual property rights of the source electronic document; said processor copying the obtained selected text into the temporary computer object; said processor copying a third tag into the temporary computer object, wherein the third tag marks the end of the temporary computer object, and wherein the selected text is disposed between the header of the temporary computer object and the third tag, wherein the selected text in the temporary computer object is persistently linked with the source electronic document via the address of the source electronic document in the temporary computer object; said processor storing the temporary computer object in the first electronic document after the first text, wherein the temporary computer object in the first electronic document persistently links the selected text with the source electronic document that comprises the selected text. 10. The computer system of claim 7 , wherein the first text is a first portion of an electronic message, wherein said displaying the first electronic document comprises displaying a cursor at a cursor position after the first text for receiving an additional portion of the message at the cursor position, and wherein said storing the temporary computer object in the first electronic document comprises storing the temporary computer object at the cursor position in the first electronic document, wherein the stored temporary computer object is the additional portion of the message at the cursor position. | 0.500821 |
6,016,380 | 20 | 23 | 20. A computer system for generating a representation of a video program as sequence of edit events to be used by a digital video editor for editing the video program, the computer system comprising: input means for receiving a video edit decision list in a first syntax for a first machine, wherein the video edit decision list comprises a formatted list of computer instructions for an edit controller for assembling the video program, wherein each instruction defines source material and a destination of an edit event; a format template library providing a plurality of format specifiers wherein each format specifier specifies a syntax of an edit decision list for a different machine, including a first format specifier for the first syntax, selecting means, connected to the input means and the format template library, for selecting the first format specifier in the format template library, and generating means for generating, according to the edit decision list and the first format specifier, the representation of the sequence of edit events corresponding to instructions in the video edit decision list. | 20. A computer system for generating a representation of a video program as sequence of edit events to be used by a digital video editor for editing the video program, the computer system comprising: input means for receiving a video edit decision list in a first syntax for a first machine, wherein the video edit decision list comprises a formatted list of computer instructions for an edit controller for assembling the video program, wherein each instruction defines source material and a destination of an edit event; a format template library providing a plurality of format specifiers wherein each format specifier specifies a syntax of an edit decision list for a different machine, including a first format specifier for the first syntax, selecting means, connected to the input means and the format template library, for selecting the first format specifier in the format template library, and generating means for generating, according to the edit decision list and the first format specifier, the representation of the sequence of edit events corresponding to instructions in the video edit decision list. 23. The system of claim 20 wherein said input means comprises means for retrieving a stored video edit decision list. | 0.899485 |
9,342,834 | 5 | 6 | 5. The processor-implemented method of claim 1 , further comprising saving one or more settings of the GUI in response to an action by the user. | 5. The processor-implemented method of claim 1 , further comprising saving one or more settings of the GUI in response to an action by the user. 6. The processor-implemented method of claim 5 , further comprising displaying a saved setting of the GUI, in response to an action by the user, and receiving further modifications of the saved setting. | 0.968914 |
8,001,118 | 3 | 15 | 3. A computer-implemented method comprising: identifying at a server a plurality of documents responsive to a search query, wherein the plurality of documents include at least one document visited by multiple distinct counted visitors during a time period; accessing, at the server, usage information associated with the plurality of documents, the usage information including, for each document, (i) a frequency of visit value based on a total number of times the respective document was visited by all counted visitors visiting the document during a time period, and (ii) a unique visit value based on a number of unique visitors among all counted visitors visiting the respective document during the time period; determining at the server, for each document, a usage score from the frequency of visit value and the unique visit value associated with the respective document; and organizing at the server the plurality of documents based, in part, on the usage scores for the documents. | 3. A computer-implemented method comprising: identifying at a server a plurality of documents responsive to a search query, wherein the plurality of documents include at least one document visited by multiple distinct counted visitors during a time period; accessing, at the server, usage information associated with the plurality of documents, the usage information including, for each document, (i) a frequency of visit value based on a total number of times the respective document was visited by all counted visitors visiting the document during a time period, and (ii) a unique visit value based on a number of unique visitors among all counted visitors visiting the respective document during the time period; determining at the server, for each document, a usage score from the frequency of visit value and the unique visit value associated with the respective document; and organizing at the server the plurality of documents based, in part, on the usage scores for the documents. 15. The computer-implemented method of claim 3 , wherein, for each document: the frequency of visit value is equal to the number of times the document was visited during the time period; and the unique visit value is equal to the number of unique visitors to the document during the time period. | 0.800945 |
7,711,573 | 1 | 2 | 1. A system for using a computer to improve a precision ratio when searching a resume database, comprising: a memory device resident in the computer; and a processor disposed in communication with the memory device, the processor configured to: receive a resume; parse the resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range; store the resume in the resume database; create a parsed resume based on the resume, the parsed resume including each said at least one skill or experience-related phrase located in the resume, the term of experience computed for each said at least one skill or experience-related phrase, and a relationship between the term of experience and each said at least one skill or experience-related phrase; store the parsed resume in the resume database; send a database query to the resume database, the database query including a job description that includes at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase, and a required term of experience; and receive a result set in response to the database query, wherein the result set includes the resume when the parsed resume satisfies the job description. | 1. A system for using a computer to improve a precision ratio when searching a resume database, comprising: a memory device resident in the computer; and a processor disposed in communication with the memory device, the processor configured to: receive a resume; parse the resume to: locate at least one skill or experience-related phrase in the resume; determine an experience range for each said at least one skill or experience-related phrase by examining a use of each said at least one skill or experience-related phrase in the resume; and compute a term of experience for each said at least one skill or experience-related phrase based on the experience range, wherein the term of experience for each said at least one skill or experience-related phrase is a summation of the term of experience for each occurrence of the phrase associated with a different experience range; store the resume in the resume database; create a parsed resume based on the resume, the parsed resume including each said at least one skill or experience-related phrase located in the resume, the term of experience computed for each said at least one skill or experience-related phrase, and a relationship between the term of experience and each said at least one skill or experience-related phrase; store the parsed resume in the resume database; send a database query to the resume database, the database query including a job description that includes at least one job requirement, each said at least one job requirement including a required skill or experience-related phrase, and a required term of experience; and receive a result set in response to the database query, wherein the result set includes the resume when the parsed resume satisfies the job description. 2. The system of claim 1 , wherein the resume comprises a document in an electronic format. | 0.957714 |
8,260,817 | 19 | 22 | 19. A method of processing text intervals, comprising: extracting a first proposition from a first text interval; providing a plurality of semantic roles, wherein each role of the plurality of roles defines a different semantic relationship between at least two words; generating a first proposition tree from the first proposition, wherein the first proposition tree comprises at least one node connected to other nodes by at least one edge, wherein each node is respectively associated with at least one word from the first proposition; assigning at least one of the plurality of roles to the at least one edge; determining a first similarity value between the first text interval and a second text interval based on a comparison of the first proposition tree and a second proposition tree corresponding to the second text interval, wherein the second text interval is different from the first text interval and at least one of the first text interval and the second text interval comprises natural language; and selectively outputting, using a processor, the second text interval based the first similarity value. | 19. A method of processing text intervals, comprising: extracting a first proposition from a first text interval; providing a plurality of semantic roles, wherein each role of the plurality of roles defines a different semantic relationship between at least two words; generating a first proposition tree from the first proposition, wherein the first proposition tree comprises at least one node connected to other nodes by at least one edge, wherein each node is respectively associated with at least one word from the first proposition; assigning at least one of the plurality of roles to the at least one edge; determining a first similarity value between the first text interval and a second text interval based on a comparison of the first proposition tree and a second proposition tree corresponding to the second text interval, wherein the second text interval is different from the first text interval and at least one of the first text interval and the second text interval comprises natural language; and selectively outputting, using a processor, the second text interval based the first similarity value. 22. The method of claim 19 , comprising: determining a second similarity value between the second text interval and the first text interval; finding the second text interval redundant to the first text interval in response to the first and second similarity values each exceeding respective thresholds; and refraining from outputting redundant text intervals. | 0.693162 |
7,925,517 | 1 | 5 | 1. A computer-implemented method for validating an entity, the method comprising: classifying an entity type of an entity to be validated based on a predefined entity classifier; selecting at least one of a plurality of validation rules in accordance with the entity type; producing, by a computer of a requesting entity and based on the selected at least one validation rule, a validation request including information identifying the entity; providing, by the computer, the validation request to a validation entity for performance of at least a portion of a validation in accordance with the selected at least one validation rule; receiving, by the computer, a validation outcome of the at least the portion of the validation from the validation entity; generating a validation request management display including an inbox icon, an outbox icon, an overview section, and a details section; wherein: responsive to selection of the inbox icon, the overview section displays a list of validation outcomes that have been received and the details section displays detailed information regarding a selected one of the listed validation outcomes; and responsive to selection of the outbox icon, the overview section displays a list of validation requests that have been provided to validation entities and the details section displays detailed information regarding a selected one of the listed validation requests. | 1. A computer-implemented method for validating an entity, the method comprising: classifying an entity type of an entity to be validated based on a predefined entity classifier; selecting at least one of a plurality of validation rules in accordance with the entity type; producing, by a computer of a requesting entity and based on the selected at least one validation rule, a validation request including information identifying the entity; providing, by the computer, the validation request to a validation entity for performance of at least a portion of a validation in accordance with the selected at least one validation rule; receiving, by the computer, a validation outcome of the at least the portion of the validation from the validation entity; generating a validation request management display including an inbox icon, an outbox icon, an overview section, and a details section; wherein: responsive to selection of the inbox icon, the overview section displays a list of validation outcomes that have been received and the details section displays detailed information regarding a selected one of the listed validation outcomes; and responsive to selection of the outbox icon, the overview section displays a list of validation requests that have been provided to validation entities and the details section displays detailed information regarding a selected one of the listed validation requests. 5. The method of claim 1 , further comprising: providing, by the validation entity, the validation request to one or more further validation entities other than the validation entity. | 0.734783 |
8,688,366 | 1 | 2 | 1. A computer implemented method of operating a navigation system to provide geographic location information, the method comprising: receiving a text string query for only a child geographic location; providing a plurality of candidate geographic locations for the child geographic location from a geographic database; receiving a selection of one of the candidate geographic locations from a user; recording the candidate geographic location that was selected in a use history database; increasing, using a processor, a usage pattern weight for the candidate geographic location that was selected; and increasing, using the processor, a usage pattern weight for a parent geographic feature that includes the child geographic location from the text string query, wherein the parent geographic feature is a composite geographic feature that includes other geographic features. | 1. A computer implemented method of operating a navigation system to provide geographic location information, the method comprising: receiving a text string query for only a child geographic location; providing a plurality of candidate geographic locations for the child geographic location from a geographic database; receiving a selection of one of the candidate geographic locations from a user; recording the candidate geographic location that was selected in a use history database; increasing, using a processor, a usage pattern weight for the candidate geographic location that was selected; and increasing, using the processor, a usage pattern weight for a parent geographic feature that includes the child geographic location from the text string query, wherein the parent geographic feature is a composite geographic feature that includes other geographic features. 2. The method of claim 1 wherein the parent geographic feature is selected from a group consisting of a road, a building, and an administrative area. | 0.810433 |
8,694,901 | 1 | 2 | 1. A system for determining and presenting contextual suggestions on a mobile device, comprising: a server; an incoming context handler residing on the server; a context presentation manager residing on a mobile device; a notifier residing on the mobile device; a hierarchical goal and state management resolution and subsumption function component residing on the mobile device; a context tracker that anticipates and maps post-conditions contextual events to user goals; dynamic user context, events, and goals each with correlation to particular life aspects; and a goal inferral component operable to determine detailed user context based on the event; wherein the incoming context handler emits an event toward the mobile device, the goal and state management resolution component and context tracker jointly determine determines if the event causes progress towards or retrogression from user goals, updates context a change in the user context and forwards notification to the context presentation manager, the notifier receives the notification from the context presentation manager and renders the notification on the mobile device and presents the contextual suggestions based on the change in the user context on the mobile device, and wherein the contextual suggestions are presented in a hierarchical layout of differing types of the suggestions, the differing types comprising at least information type, goal achieved, time, and importance. | 1. A system for determining and presenting contextual suggestions on a mobile device, comprising: a server; an incoming context handler residing on the server; a context presentation manager residing on a mobile device; a notifier residing on the mobile device; a hierarchical goal and state management resolution and subsumption function component residing on the mobile device; a context tracker that anticipates and maps post-conditions contextual events to user goals; dynamic user context, events, and goals each with correlation to particular life aspects; and a goal inferral component operable to determine detailed user context based on the event; wherein the incoming context handler emits an event toward the mobile device, the goal and state management resolution component and context tracker jointly determine determines if the event causes progress towards or retrogression from user goals, updates context a change in the user context and forwards notification to the context presentation manager, the notifier receives the notification from the context presentation manager and renders the notification on the mobile device and presents the contextual suggestions based on the change in the user context on the mobile device, and wherein the contextual suggestions are presented in a hierarchical layout of differing types of the suggestions, the differing types comprising at least information type, goal achieved, time, and importance. 2. The system according to claim 1 , further comprising a visual interface enabling user input to the server. | 0.7275 |
8,238,881 | 1 | 7 | 1. A method of synchronizing bookmarks comprising: receiving a request to save a first bookmark identifying a first web document in a first mode, the first bookmark received from a first browser executing in the first mode, the first mode being one of a visual mode and a voice mode; receiving, from the first browser, the first bookmark comprising data indicative of the first web document; storing the first bookmark in a bookmark repository on a multimodal platform, the bookmark repository operable for storing one or more bookmarks in a multimodal format and accessible to a plurality of browsers regardless of whether the browsers are executing in the visual or voice mode; receiving, from a second browser executing in a second mode, the second mode being one of the visual or voice mode, a request to access the first bookmark; linking the first bookmark with a second web document in the second mode containing substantially equivalent content of the first web document, the second web document compatible with the second browser based on a relationship between the first web document and the second web document; and sending a second bookmark identifying the second web document to the second browser, wherein the second browser executing in the second mode is operable to navigate to the second web document using the second bookmark. | 1. A method of synchronizing bookmarks comprising: receiving a request to save a first bookmark identifying a first web document in a first mode, the first bookmark received from a first browser executing in the first mode, the first mode being one of a visual mode and a voice mode; receiving, from the first browser, the first bookmark comprising data indicative of the first web document; storing the first bookmark in a bookmark repository on a multimodal platform, the bookmark repository operable for storing one or more bookmarks in a multimodal format and accessible to a plurality of browsers regardless of whether the browsers are executing in the visual or voice mode; receiving, from a second browser executing in a second mode, the second mode being one of the visual or voice mode, a request to access the first bookmark; linking the first bookmark with a second web document in the second mode containing substantially equivalent content of the first web document, the second web document compatible with the second browser based on a relationship between the first web document and the second web document; and sending a second bookmark identifying the second web document to the second browser, wherein the second browser executing in the second mode is operable to navigate to the second web document using the second bookmark. 7. The method of claim 1 , wherein the first bookmark specifies a preferred mode for interacting with the second web document, further comprising, upon re-directing and the second browser is directed to the second web document operating in the mode specified in the first bookmark. | 0.501773 |
9,117,125 | 1 | 7 | 1. An electronic device comprising: a display processor configured to display on a screen a handwritten document including a plurality of strokes described by handwriting; a transmitter configured to transmit to a system a handwritten part designated by a select range on the screen; and a receiver configured to receive from the system a reshaping result corresponding to the handwritten part, wherein the display processor is further configured to display the reshaping result on the screen, the reshaping result and the handwritten part associated with each other, and wherein the display processor is further configured to change a line kind or a color of a plurality of strokes included in the handwritten part, and to display the reshaping result in a manner to at least partially overlap with a display area of the handwritten part. | 1. An electronic device comprising: a display processor configured to display on a screen a handwritten document including a plurality of strokes described by handwriting; a transmitter configured to transmit to a system a handwritten part designated by a select range on the screen; and a receiver configured to receive from the system a reshaping result corresponding to the handwritten part, wherein the display processor is further configured to display the reshaping result on the screen, the reshaping result and the handwritten part associated with each other, and wherein the display processor is further configured to change a line kind or a color of a plurality of strokes included in the handwritten part, and to display the reshaping result in a manner to at least partially overlap with a display area of the handwritten part. 7. The electronic device of claim 1 , wherein the transmitter is configured to transmit to the system a plurality of stroke data corresponding to a plurality of strokes included in the handwritten part. | 0.820922 |
10,129,367 | 9 | 12 | 9. A method comprising: receiving user information about a target user of an online system, the user information describing interactions performed by the target user on the online system; receiving third party information from a third party outside of the online system, the third party information describing an item associated with the third party that the target user is interested in acquiring from the third party; retrieving a plurality of trained machine learning models each associated with a population of users of the online system, each trained machine learning model configured to determine a likelihood that a user matching the corresponding population of users will perform a transaction associated with a particular item; receiving item information indicating a change in a status of the item; selecting a trained machine learning model of the plurality of trained machine learning models based at least in part on the user information; determining, using the selected trained machine learning model, the user information, the third party information, and the item information, a likelihood that the target user will perform a transaction associated with the item; sending, in response to the likelihood that the target user will perform the transaction associated with the item exceeding a threshold value, a content item associated with the item for display on a client device of the target user. | 9. A method comprising: receiving user information about a target user of an online system, the user information describing interactions performed by the target user on the online system; receiving third party information from a third party outside of the online system, the third party information describing an item associated with the third party that the target user is interested in acquiring from the third party; retrieving a plurality of trained machine learning models each associated with a population of users of the online system, each trained machine learning model configured to determine a likelihood that a user matching the corresponding population of users will perform a transaction associated with a particular item; receiving item information indicating a change in a status of the item; selecting a trained machine learning model of the plurality of trained machine learning models based at least in part on the user information; determining, using the selected trained machine learning model, the user information, the third party information, and the item information, a likelihood that the target user will perform a transaction associated with the item; sending, in response to the likelihood that the target user will perform the transaction associated with the item exceeding a threshold value, a content item associated with the item for display on a client device of the target user. 12. The method of claim 9 , wherein the item is a tangible object, an intangible service, or message promoted by the third party. | 0.8958 |
7,571,485 | 20 | 21 | 20. A computer system for preventing unauthorized network activity, the computer system comprising: a software portion configured to detect an attempt by a computer to communicate with a remote site over a computer network; a software portion configured to query a database containing descriptions of known legitimate sites for an entry describing the remote site, wherein the database has hierarchical entries according to a schema, and a level of the hierarchy describes data gathered by a class of remote sites; a software portion configured to compare a data gathering profile for the site described by the database entry to a request for data made by the remote site; and a software portion configured to determine whether the remote site is to be treated as suspicious based at least on the results of the comparing step. | 20. A computer system for preventing unauthorized network activity, the computer system comprising: a software portion configured to detect an attempt by a computer to communicate with a remote site over a computer network; a software portion configured to query a database containing descriptions of known legitimate sites for an entry describing the remote site, wherein the database has hierarchical entries according to a schema, and a level of the hierarchy describes data gathered by a class of remote sites; a software portion configured to compare a data gathering profile for the site described by the database entry to a request for data made by the remote site; and a software portion configured to determine whether the remote site is to be treated as suspicious based at least on the results of the comparing step. 21. The computer system of claim 20 further comprising: a software portion configured to compare the database entry describing the remote site to the remote site itself, to determine whether the remote site conforms to the database description, responsive to locating an entry in the database describing the remote site; a software portion configured to determine that the remote site is legitimate, responsive to determining that the remote site conforms to the database description; and a software portion configured to determine that the remote site is suspicious, responsive to determining that the remote site does not conform to the database description. | 0.56636 |
8,688,683 | 5 | 7 | 5. A system, comprising: a hardware storage node to store at least one of a plurality of databases; a first processing node comprising a data reception module to receive at least a portion of an original query plan comprising query nodes that include one or more database operations to be conducted on the plurality of databases; and a second processing node comprising an analysis module to couple to the first processing node, the analysis module to transform the original query plan into an equivalent executable compact query plan to store on a machine readable device, the compact query plan comprising at least two source nodes including scan operations to source tables, the at least two source nodes coupled to at least one abstract node and at least one singleton node, wherein a child of the at least one abstract node comprises at least one of the source nodes or the at least one singleton node, but not another abstract node, wherein the at least one singleton node comprises a single operation selected from aggregate, union, order by, or null accepting full outer join, wherein the at least one abstract node comprises a set of operations selected from at least one of Cartesian product, evaluation, filter, left outer join, or null rejecting full outer join, and wherein the at least one abstract node is partitioned into multiple intra-partition commutable operations that can be executed in a different order from the original query plan based on upward compatibility or a combination of a single null rejecting left outer join operation and the multiple intra-partition commutable operations. | 5. A system, comprising: a hardware storage node to store at least one of a plurality of databases; a first processing node comprising a data reception module to receive at least a portion of an original query plan comprising query nodes that include one or more database operations to be conducted on the plurality of databases; and a second processing node comprising an analysis module to couple to the first processing node, the analysis module to transform the original query plan into an equivalent executable compact query plan to store on a machine readable device, the compact query plan comprising at least two source nodes including scan operations to source tables, the at least two source nodes coupled to at least one abstract node and at least one singleton node, wherein a child of the at least one abstract node comprises at least one of the source nodes or the at least one singleton node, but not another abstract node, wherein the at least one singleton node comprises a single operation selected from aggregate, union, order by, or null accepting full outer join, wherein the at least one abstract node comprises a set of operations selected from at least one of Cartesian product, evaluation, filter, left outer join, or null rejecting full outer join, and wherein the at least one abstract node is partitioned into multiple intra-partition commutable operations that can be executed in a different order from the original query plan based on upward compatibility or a combination of a single null rejecting left outer join operation and the multiple intra-partition commutable operations. 7. The system of claim 5 , further comprising: a display coupled to a third processing node to display at least a portion of a database query that is processed to provide the original query plan. | 0.502551 |
8,473,454 | 13 | 17 | 13. A method for utilizing a scaleable integration framework to provide business services, comprising: receiving, at a server with a network interface, at least one electronic document from a user, the user being a business entity, the document being related to an industry or business that is specific to the user, the server including a software application adapted to recognize a class of an electronic document to which the at least one electronic document belongs; processing the at least one electronic document received from the user to extract business or industry data from the at least one electronic document based on a recognition that the class of the at least one processed electronic document belongs to the class of electronic documents, the extracted data corresponding to a service being provided to the user; automatically mapping extracted data from the at least one processed electronic document to a data repository on the hosted server, the data repository being accessible by the user through the network interface; monitoring a behavior of the user based on access to the data mapped to the data repository; and electronically generating output data from the data repository based on the monitored behavior of the user, wherein the output data corresponds to a service suggestion being provided to the user, the service suggestion including at least one of a process simplification and improved way of doing business for modifying and improving an industry or business work practice of the user as a business entity; providing the user with access to the mapped data for receiving one of a verification and a correction to train the software application based on one of the verification and the correction; and, automatically classifying a subsequently processed electronic document that is substantially similar to a previously processed electronic document from which mapped data has been one of verified and corrected to train the software application in accordance with the class of the previously processed electronic document. | 13. A method for utilizing a scaleable integration framework to provide business services, comprising: receiving, at a server with a network interface, at least one electronic document from a user, the user being a business entity, the document being related to an industry or business that is specific to the user, the server including a software application adapted to recognize a class of an electronic document to which the at least one electronic document belongs; processing the at least one electronic document received from the user to extract business or industry data from the at least one electronic document based on a recognition that the class of the at least one processed electronic document belongs to the class of electronic documents, the extracted data corresponding to a service being provided to the user; automatically mapping extracted data from the at least one processed electronic document to a data repository on the hosted server, the data repository being accessible by the user through the network interface; monitoring a behavior of the user based on access to the data mapped to the data repository; and electronically generating output data from the data repository based on the monitored behavior of the user, wherein the output data corresponds to a service suggestion being provided to the user, the service suggestion including at least one of a process simplification and improved way of doing business for modifying and improving an industry or business work practice of the user as a business entity; providing the user with access to the mapped data for receiving one of a verification and a correction to train the software application based on one of the verification and the correction; and, automatically classifying a subsequently processed electronic document that is substantially similar to a previously processed electronic document from which mapped data has been one of verified and corrected to train the software application in accordance with the class of the previously processed electronic document. 17. The method according to claim 13 , further comprising: providing the user with at least one desktop icon to facilitate access to the data repository through the network interface via a remote computing device. | 0.52027 |
7,587,319 | 51 | 52 | 51. A speech recognition circuit according to claim 50 , a including language model processor providing a language model output for modifying the processing results at a word recognition event by a said processor. | 51. A speech recognition circuit according to claim 50 , a including language model processor providing a language model output for modifying the processing results at a word recognition event by a said processor. 52. A speech recognition circuit according to claim 51 , wherein each processor receives said language model output to modify the processing result at a word recognition event determined by said processor and outputs the modified processing result to said results memory. | 0.91303 |
9,544,149 | 8 | 12 | 8. An electronic signature application server device that comprises a memory device and a processor that is operatively coupled to the memory device, wherein the processor is configured to execute instructions stored in the memory device that, when executed, cause the processor to carry out an electronic signature process that comprises: receiving, by the electronic signature application server device, from a document sender, a document containing a fixed document term and a variable document term, wherein the document sender has indicated that a document recipient is not allowed to modify the fixed document term, while the variable document term is associated with a parameter that can be set by the document recipient; receiving, by the electronic signature application server device, from the document sender, a condition on the variable document term, wherein satisfaction of the condition depends on the parameter set by the document recipient; defining, by the electronic signature application server device, a recipient's signature block at a first location in the document that is configured to receive a signature of the document recipient; defining, by the electronic signature application server device, an automatic signature block at a second location in the document that is configured to receive an automatically generated electronic signature authorized by the document sender; sending the document from the electronic signature application server device to the document recipient; receiving, by the electronic signature application server device, from the document recipient, the document, wherein the document received from the document recipient includes the signature of the document recipient positioned in the recipient's signature block; making, by the electronic signature application server device, after the document is received from the document recipient, at least one of (a) a first determination that the fixed document term has been modified from its state when the document was sent to the document recipient, and (b) a second determination that the parameter set by the document recipient does not satisfy the condition; and in response to making at least one of the first and second determinations, sending a notification from the electronic signature application server device to the document sender that the document is at least partially unsigned. | 8. An electronic signature application server device that comprises a memory device and a processor that is operatively coupled to the memory device, wherein the processor is configured to execute instructions stored in the memory device that, when executed, cause the processor to carry out an electronic signature process that comprises: receiving, by the electronic signature application server device, from a document sender, a document containing a fixed document term and a variable document term, wherein the document sender has indicated that a document recipient is not allowed to modify the fixed document term, while the variable document term is associated with a parameter that can be set by the document recipient; receiving, by the electronic signature application server device, from the document sender, a condition on the variable document term, wherein satisfaction of the condition depends on the parameter set by the document recipient; defining, by the electronic signature application server device, a recipient's signature block at a first location in the document that is configured to receive a signature of the document recipient; defining, by the electronic signature application server device, an automatic signature block at a second location in the document that is configured to receive an automatically generated electronic signature authorized by the document sender; sending the document from the electronic signature application server device to the document recipient; receiving, by the electronic signature application server device, from the document recipient, the document, wherein the document received from the document recipient includes the signature of the document recipient positioned in the recipient's signature block; making, by the electronic signature application server device, after the document is received from the document recipient, at least one of (a) a first determination that the fixed document term has been modified from its state when the document was sent to the document recipient, and (b) a second determination that the parameter set by the document recipient does not satisfy the condition; and in response to making at least one of the first and second determinations, sending a notification from the electronic signature application server device to the document sender that the document is at least partially unsigned. 12. The electronic signature system of claim 8 , wherein the electronic signature process further comprises recording, in an audit record administered by the electronic signature application server device, an audit entry indicating that the document is at least partially unsigned. | 0.827396 |
8,825,764 | 10 | 12 | 10. The computer program product of claim 8 , further comprising: extracting linguistic data from a plurality of types of text communications between the user and one or more additional users of the social networking system; retrieving one or more characteristics of the user from a user profile maintained by the social networking system and associated with the user; applying the generated model to the extracted linguistic data and the retrieved one or more characteristics of the user; storing the one or more personality characteristics determined by the generated model in the user profile associated with the user; and presenting content to the user based at least in part on the determined one or more personality characteristics of the user. | 10. The computer program product of claim 8 , further comprising: extracting linguistic data from a plurality of types of text communications between the user and one or more additional users of the social networking system; retrieving one or more characteristics of the user from a user profile maintained by the social networking system and associated with the user; applying the generated model to the extracted linguistic data and the retrieved one or more characteristics of the user; storing the one or more personality characteristics determined by the generated model in the user profile associated with the user; and presenting content to the user based at least in part on the determined one or more personality characteristics of the user. 12. The computer program product of claim 10 , wherein presenting content to the user based at least in part on the determined one or more personality characteristics of the user comprises: selecting one or more advertisements for presentation to the user based at least in part on the determined one or more personality characteristics of the user; and presenting the selected one or more advertisements to the user. | 0.903606 |
7,693,973 | 1 | 15 | 1. A method for managing state data of a service in a service-oriented architecture by establishing a pluggable meta-data processor comprising: establishing a platform independent, extensible meta-data information model to define meta-data about the state data of the service; establishing an extensible meta-data definition comprising an extensible set of attributes of the state data of the service, so as to enable the service to extend its state with change notification semantics; configuring one or more extensible semantic processors for interpreting the semantics of a state change query created and sent by a requesting client directly to the service, wherein query language and the one or more semantic processors are each chosen by the client, and which state change query is forwarded from the service to a client-chosen semantic processor; configuring a controller meta-data processor; and defining contracts among said semantic processors. | 1. A method for managing state data of a service in a service-oriented architecture by establishing a pluggable meta-data processor comprising: establishing a platform independent, extensible meta-data information model to define meta-data about the state data of the service; establishing an extensible meta-data definition comprising an extensible set of attributes of the state data of the service, so as to enable the service to extend its state with change notification semantics; configuring one or more extensible semantic processors for interpreting the semantics of a state change query created and sent by a requesting client directly to the service, wherein query language and the one or more semantic processors are each chosen by the client, and which state change query is forwarded from the service to a client-chosen semantic processor; configuring a controller meta-data processor; and defining contracts among said semantic processors. 15. The method of claim 1 , wherein said controller meta-data processor provides one of a meta-data repository and a repository of the state data of the service. | 0.91752 |
8,850,350 | 2 | 3 | 2. The method of claim 1 , wherein the first location comprises a location of the display device that is based at least in part on a detected location of the input unit that performed the gesture at the presence-sensitive input device. | 2. The method of claim 1 , wherein the first location comprises a location of the display device that is based at least in part on a detected location of the input unit that performed the gesture at the presence-sensitive input device. 3. The method of claim 2 , wherein the location of the display device that is based at least in part on the detected location of the input unit that performed the gesture comprises a location of the display device that is a threshold distance from the detected location of the input unit that performed the gesture. | 0.937176 |
8,577,149 | 12 | 13 | 12. The storage medium storing the program according to claim 9 , wherein editing the displayed sentence image includes: superposing text data corresponding to the detected coordinate points onto the image data of the sentence image; and converting the superposed text data into image data and combining the image data with the image data of the sentence data with timing of starting execution of transmitting the edited sentence image, and wherein the image data of the combined sentence image is transmitted to the other apparatus. | 12. The storage medium storing the program according to claim 9 , wherein editing the displayed sentence image includes: superposing text data corresponding to the detected coordinate points onto the image data of the sentence image; and converting the superposed text data into image data and combining the image data with the image data of the sentence data with timing of starting execution of transmitting the edited sentence image, and wherein the image data of the combined sentence image is transmitted to the other apparatus. 13. The storage medium storing the program according to claim 12 , wherein the program causes the computer to perform further operations comprising recognizing an input character in accordance with the time-series coordinate point sequence connecting the detected coordinate points, and wherein when editing the displayed sentence image, text data corresponding to the recognized character is superposed onto the image data of the sentence image. | 0.871618 |
6,088,698 | 27 | 29 | 27. The computer-readable medium of claim 24, wherein said description includes a first set of nodes that are each associated with: at least one region from said regions, and selection criteria; and the step of selecting source text includes selecting a first node from said first set of nodes based on whether selection criteria associated with said first node is satisfied. | 27. The computer-readable medium of claim 24, wherein said description includes a first set of nodes that are each associated with: at least one region from said regions, and selection criteria; and the step of selecting source text includes selecting a first node from said first set of nodes based on whether selection criteria associated with said first node is satisfied. 29. The computer-readable medium recited in claim 27, in which the step of receiving a request further includes the step of receiving a request from the client, wherein the request includes a value of TRUE specified for a "selective" parameter. | 0.888073 |
9,286,058 | 1 | 2 | 1. A method for application programming interface (API) call abstraction, comprising: obtaining programming code for an application; parsing the obtained programming code to identify instructions in the programming code; identifying an API call in the programming code based on parsing the obtained programming code, the API call including an input string; verifying the input string is one of a plurality of pre-registered input strings maintained in a string registry server that interfaces with a processor of a hosting server; querying a database to obtain details of a pre-registered bundle using the input string, the details of the pre-registered bundle used to update the programming code for the application by replacing the input string with an identifier of the pre-registered bundle; compiling the updated programming code for the application to generate a new compiled application; providing the new compiled application for a user, the providing of the new compiled application includes switching the user from a prior application version to the new compiled application dynamically, in substantial real-time in response to detecting the new compiled application, while the user is continuously utilizing the application, wherein the switching includes, generating an instance of the new compiled application; issuing a new access request for the instance of the new compiled application on behalf of the user; dynamically establishing access for the user to the new compiled application; and deleting instance of the prior application version to prevent access of the prior application version; wherein the method operations are performed by a processor of a developer system. | 1. A method for application programming interface (API) call abstraction, comprising: obtaining programming code for an application; parsing the obtained programming code to identify instructions in the programming code; identifying an API call in the programming code based on parsing the obtained programming code, the API call including an input string; verifying the input string is one of a plurality of pre-registered input strings maintained in a string registry server that interfaces with a processor of a hosting server; querying a database to obtain details of a pre-registered bundle using the input string, the details of the pre-registered bundle used to update the programming code for the application by replacing the input string with an identifier of the pre-registered bundle; compiling the updated programming code for the application to generate a new compiled application; providing the new compiled application for a user, the providing of the new compiled application includes switching the user from a prior application version to the new compiled application dynamically, in substantial real-time in response to detecting the new compiled application, while the user is continuously utilizing the application, wherein the switching includes, generating an instance of the new compiled application; issuing a new access request for the instance of the new compiled application on behalf of the user; dynamically establishing access for the user to the new compiled application; and deleting instance of the prior application version to prevent access of the prior application version; wherein the method operations are performed by a processor of a developer system. 2. The method of claim 1 , wherein switching the application further comprising: storing a state of the user from the prior application version prior to the switching; and loading the stored state of the user into the new compiled application. | 0.743129 |
9,575,960 | 6 | 12 | 6. The computer-implemented method of claim 4 , wherein monitoring the user interaction includes: estimating a reading pace associated with the user; and detecting a page turn command input by the user, wherein determining the estimated location is based at least in part upon the page turn command and the reading pace. | 6. The computer-implemented method of claim 4 , wherein monitoring the user interaction includes: estimating a reading pace associated with the user; and detecting a page turn command input by the user, wherein determining the estimated location is based at least in part upon the page turn command and the reading pace. 12. The computer-implemented method of claim 6 , wherein estimating the reading pace of the user is based at least in part upon historical data regarding a time it took for the user to turn one or more pages in one or more previously read electronic documents. | 0.87 |
9,922,655 | 2 | 3 | 2. The system of claim 1 , wherein the interruption determining circuit determines an allowable time for causing the computer speech output unit to output the computer speech based on the priority setting and the status of the human conversation. | 2. The system of claim 1 , wherein the interruption determining circuit determines an allowable time for causing the computer speech output unit to output the computer speech based on the priority setting and the status of the human conversation. 3. The system of claim 2 , wherein the interruption determining circuit determines the allowable time as instantaneous if the priority-’ setting received from the interruption priority setting circuit for the computer speech is greater than a predetermined threshold value. | 0.900365 |
8,762,191 | 1 | 2 | 1. A processor implemented method for identifying risk, comprising: receiving information associated with at least one risk for identifying at least one predetermined indicator of risk-relevant information, wherein based on the identifying, the received information is processed to redact redundant information; analyzing, by a processor, the received information to determine relevancy of the information with regard to the at least one risk; tagging, by the processor, the information with at least one risk-relevancy tag based on the determination of the relevancy of the information with regard to the at least one risk; processing the tagged information to remove redundant information and information not deemed to be relevant to the at least one risk, thereby creating the risk-relevant information; parsing, by the processor, the risk-relevant information into a plurality of portions categorized by the at least one risk-relevancy tag; determining, by the processor, a risk-relevancy metric of each of the plurality of portions, wherein the at least one risk-relevancy tag identifies the risk-relevancy metric associated with a relevant portion of the information with respect to the at least one risk, the risk-relevancy metric indicating a likelihood that the relevant portion of the information is relevant to the at least one risk; storing the risk-relevant information in a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk; and outputting the risk-relevant information stored in the data storage structure to a risk identification graphical user interface. | 1. A processor implemented method for identifying risk, comprising: receiving information associated with at least one risk for identifying at least one predetermined indicator of risk-relevant information, wherein based on the identifying, the received information is processed to redact redundant information; analyzing, by a processor, the received information to determine relevancy of the information with regard to the at least one risk; tagging, by the processor, the information with at least one risk-relevancy tag based on the determination of the relevancy of the information with regard to the at least one risk; processing the tagged information to remove redundant information and information not deemed to be relevant to the at least one risk, thereby creating the risk-relevant information; parsing, by the processor, the risk-relevant information into a plurality of portions categorized by the at least one risk-relevancy tag; determining, by the processor, a risk-relevancy metric of each of the plurality of portions, wherein the at least one risk-relevancy tag identifies the risk-relevancy metric associated with a relevant portion of the information with respect to the at least one risk, the risk-relevancy metric indicating a likelihood that the relevant portion of the information is relevant to the at least one risk; storing the risk-relevant information in a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk; and outputting the risk-relevant information stored in the data storage structure to a risk identification graphical user interface. 2. The method of claim 1 , wherein the each of the plurality of portions is associated with the at least one of the tags. | 0.898829 |
9,374,411 | 6 | 8 | 6. A system, comprising: at least one computing device; and at least one application executable in the at least one computing device, the at least one application causing the at least one computing device to: cause a first video content feature to be rendered in a user interface for display on a client; determine that a user prefers a first character based at least upon a first interaction data, the first character being represented by a corresponding first cast member of the first video content feature; cause a timeline user interface that segments the first video content feature into a plurality of scenes to be rendered in response to obtaining the first interaction data; obtain second user interaction data from the client based at least in part upon an interaction with at least one character feedback interface rendered on the timeline user interface, the at least one character feedback interface being associated with a current scene included in the plurality of scenes; determine that the user prefers a second character based at least upon the second interaction data, the second character being represented by a corresponding second cast member of a second video content feature; determine a relationship score based at least upon the first interaction data and the second interaction data, the relationship score quantifying a degree of commonality between the first character and the second character and being calculated based at least in part upon a proportion of users who have expressed a preference towards both the first character and the second character; and generate a recommendation to play at least one of the first video content feature or the second video content feature based at least upon the relationship score. | 6. A system, comprising: at least one computing device; and at least one application executable in the at least one computing device, the at least one application causing the at least one computing device to: cause a first video content feature to be rendered in a user interface for display on a client; determine that a user prefers a first character based at least upon a first interaction data, the first character being represented by a corresponding first cast member of the first video content feature; cause a timeline user interface that segments the first video content feature into a plurality of scenes to be rendered in response to obtaining the first interaction data; obtain second user interaction data from the client based at least in part upon an interaction with at least one character feedback interface rendered on the timeline user interface, the at least one character feedback interface being associated with a current scene included in the plurality of scenes; determine that the user prefers a second character based at least upon the second interaction data, the second character being represented by a corresponding second cast member of a second video content feature; determine a relationship score based at least upon the first interaction data and the second interaction data, the relationship score quantifying a degree of commonality between the first character and the second character and being calculated based at least in part upon a proportion of users who have expressed a preference towards both the first character and the second character; and generate a recommendation to play at least one of the first video content feature or the second video content feature based at least upon the relationship score. 8. The system of claim 6 , wherein the first interaction data comprises explicit user feedback expressing that the user favors the first character. | 0.855599 |
8,676,582 | 11 | 14 | 11. A speech recognition method, comprising: converting a speech into an electric signal and inputting the converted speech as an input speech into a speech input device; extracting words related to the input speech from a user dictionary for speech recognition included in the speech input device to create a reduced user dictionary; transmitting the input speech and the reduced user dictionary from the speech input device to a speech recognition device; and at the speech recognition device having received the input speech and the reduced user dictionary, performing speech recognition on the input speech based on a system dictionary for speech recognition included in the speech recognition device and the received reduced user dictionary, wherein the extracting includes: comparing the input speech and a word in the user dictionary and compiling a likelihood of each word appearing in the input speech, temporarily storing a set of each word and a corresponding likelihood compiled, and selecting one or a plurality of words having high usage to thereby create the reduced user dictionary. | 11. A speech recognition method, comprising: converting a speech into an electric signal and inputting the converted speech as an input speech into a speech input device; extracting words related to the input speech from a user dictionary for speech recognition included in the speech input device to create a reduced user dictionary; transmitting the input speech and the reduced user dictionary from the speech input device to a speech recognition device; and at the speech recognition device having received the input speech and the reduced user dictionary, performing speech recognition on the input speech based on a system dictionary for speech recognition included in the speech recognition device and the received reduced user dictionary, wherein the extracting includes: comparing the input speech and a word in the user dictionary and compiling a likelihood of each word appearing in the input speech, temporarily storing a set of each word and a corresponding likelihood compiled, and selecting one or a plurality of words having high usage to thereby create the reduced user dictionary. 14. The speech recognition method as claimed in claim 11 , wherein the reduced user dictionary is created by: comparing the input speech with words in the user dictionary, calculating likelihood of each word being present in the input speech, temporarily storing a set of the calculated likelihood and a corresponding word, selecting one or more words having high likelihood from temporarily-stored words, and editing the selected words to be in a form of a dictionary. | 0.774736 |
8,949,784 | 9 | 15 | 9. A computer system, including: at least one computer readable module comprising computer executable instructions representative of declarative code according to a declarative programming model implementing a type system supporting constraint-based type refinement and type membership, the at least one computer readable module including a programming construct comprising a refinement type of the type system that defines a type by shaping the type relative to an unlimited top level type representing all types, a first expression in the refinement type of the programming construct including a type test construct that tests an evaluation of a second expression that is included in the first expression for membership of an indicated type; at least one data store including data with respect to which the at least one computer executable instructions execute to perform at least one of accessing, modifying, filtering, transforming, versioning, or processing of the data based on the programming construct of the declarative code; and a typechecking module configured to determine whether an error occurs based on at least one judgment that is based on at least one context associated with the at least one type. | 9. A computer system, including: at least one computer readable module comprising computer executable instructions representative of declarative code according to a declarative programming model implementing a type system supporting constraint-based type refinement and type membership, the at least one computer readable module including a programming construct comprising a refinement type of the type system that defines a type by shaping the type relative to an unlimited top level type representing all types, a first expression in the refinement type of the programming construct including a type test construct that tests an evaluation of a second expression that is included in the first expression for membership of an indicated type; at least one data store including data with respect to which the at least one computer executable instructions execute to perform at least one of accessing, modifying, filtering, transforming, versioning, or processing of the data based on the programming construct of the declarative code; and a typechecking module configured to determine whether an error occurs based on at least one judgment that is based on at least one context associated with the at least one type. 15. The system of claim 9 , wherein the programming construct includes a specification of a union of at least two types and an intersection of at least two types specified in the type refinement construct. | 0.556277 |
7,752,148 | 1 | 7 | 1. A computer-implemented problem checking system, comprising: an input component for receiving a math problem to be worked via a solving process; and a problem checker for monitoring the process and generating context-sensitive information as part of the solving process. | 1. A computer-implemented problem checking system, comprising: an input component for receiving a math problem to be worked via a solving process; and a problem checker for monitoring the process and generating context-sensitive information as part of the solving process. 7. The system of claim 1 , further comprising a machine learning and reasoning component that employs a probabilistic and/or statistical-based analysis to prognose or infer an action to be automatically performed. | 0.580709 |
7,689,033 | 62 | 63 | 62. The apparatus as recited in claim 53 , wherein as part of the post-filter stage the logic is further configured to perform at least one process selected from a group of processes that includes a lighting correction process, a histogram equalization process a color filter process, and an SVM filter process. | 62. The apparatus as recited in claim 53 , wherein as part of the post-filter stage the logic is further configured to perform at least one process selected from a group of processes that includes a lighting correction process, a histogram equalization process a color filter process, and an SVM filter process. 63. The apparatus as recited in claim 62 , wherein as part of the SVM filter process the logic is configured to reduce redundancy in a feature space associated with at least one intermediate candidate portion based on wavelet transformation of the at least one intermediate candidate portion that produces a plurality of sub-bands portions. | 0.859272 |
7,693,829 | 26 | 31 | 26. A computer system, comprising: memory; one or more processors; and one or more programs stored in the memory and executed by the one or more processors, the one or more programs including: instructions for receiving from a client system a fill-the-blank query comprising one or more term segments and one or more missing term identifiers signifying missing information sought by a user; instructions for converting the fill-the-blank query into a corresponding search pattern, wherein the search pattern includes: one or more missing content identifiers corresponding to the one or more missing term identifiers, and a set of one or more query expressions corresponding to each term segment; instructions for identifying a set of documents matching the search pattern; instructions for identifying content in the set of documents corresponding to the search pattern, the identified content including one or more potential answers corresponding to the one or more missing term identifiers; and instructions for responding to the query by providing to the client system at least one of the one or more potential answers. | 26. A computer system, comprising: memory; one or more processors; and one or more programs stored in the memory and executed by the one or more processors, the one or more programs including: instructions for receiving from a client system a fill-the-blank query comprising one or more term segments and one or more missing term identifiers signifying missing information sought by a user; instructions for converting the fill-the-blank query into a corresponding search pattern, wherein the search pattern includes: one or more missing content identifiers corresponding to the one or more missing term identifiers, and a set of one or more query expressions corresponding to each term segment; instructions for identifying a set of documents matching the search pattern; instructions for identifying content in the set of documents corresponding to the search pattern, the identified content including one or more potential answers corresponding to the one or more missing term identifiers; and instructions for responding to the query by providing to the client system at least one of the one or more potential answers. 31. The computer system of claim 26 , wherein the fill-the-blank query includes a respective missing term identifier is located between two respective term segments. | 0.80814 |
10,163,024 | 7 | 9 | 7. An electronic device comprising: an acquisition section acquiring image data indicating a document; a detection section analyzing the image data and detecting a marker portion indicated in the image data; a communication section performing communication with either one or a plurality of external servers including at least one of a plurality of dictionary functions; a processing section (i) specifying, from the plurality of dictionary functions included in either the one or the plurality of external servers, a dictionary function in accordance with a type of the marker portion, and (ii) causing the communication section to transmit, to the external server including the specified dictionary function, an instruction to search for a text indicated by the marker portion, and for information related to the text, by using the dictionary function; a generation section, upon reception of information related to the text as a search result from the external server by the communication section, generating a glossary including the received information related to the text; and a storage section storing a first table indicating information for specifying the dictionary function corresponding to each type of a plurality of markers of the marker portion and the external server including the just-mentioned dictionary function, wherein with reference to the first table stored in the storage section, the processing section specifies: the dictionary function corresponding to the type of the marker portion detected by the detection section; and the external server to communicate with, the detection section further detects the way of indicating the marker in the marker portion, the storage section further stores a second table indicating a type of information related to the text corresponding to each way of indicating the marker in the marker portion, and the generation section further (i) specifies, with reference to the second table stored in the storage section, the type of the information related to the text corresponding to the way of indicating the marker in the marker portion, and (ii) upon reception of the information related to the text as a search result from the external server by the communication section, generates the glossary by using, out of the received information related to the text, the information related to the text of the specified type. | 7. An electronic device comprising: an acquisition section acquiring image data indicating a document; a detection section analyzing the image data and detecting a marker portion indicated in the image data; a communication section performing communication with either one or a plurality of external servers including at least one of a plurality of dictionary functions; a processing section (i) specifying, from the plurality of dictionary functions included in either the one or the plurality of external servers, a dictionary function in accordance with a type of the marker portion, and (ii) causing the communication section to transmit, to the external server including the specified dictionary function, an instruction to search for a text indicated by the marker portion, and for information related to the text, by using the dictionary function; a generation section, upon reception of information related to the text as a search result from the external server by the communication section, generating a glossary including the received information related to the text; and a storage section storing a first table indicating information for specifying the dictionary function corresponding to each type of a plurality of markers of the marker portion and the external server including the just-mentioned dictionary function, wherein with reference to the first table stored in the storage section, the processing section specifies: the dictionary function corresponding to the type of the marker portion detected by the detection section; and the external server to communicate with, the detection section further detects the way of indicating the marker in the marker portion, the storage section further stores a second table indicating a type of information related to the text corresponding to each way of indicating the marker in the marker portion, and the generation section further (i) specifies, with reference to the second table stored in the storage section, the type of the information related to the text corresponding to the way of indicating the marker in the marker portion, and (ii) upon reception of the information related to the text as a search result from the external server by the communication section, generates the glossary by using, out of the received information related to the text, the information related to the text of the specified type. 9. The electronic device according to claim 7 , wherein upon reception of information that the search for the information related to the text has failed from the external server by the communication section, the processing section (i) complements the text with a text to be located either before or behind the marker portion, and (ii) causes the communication section to transmit, to the external server, an instruction to search again for the complemented text and for the information related to the complemented text by using the dictionary function. | 0.661765 |
7,665,032 | 1 | 7 | 1. A computer-readable storage medium having stored thereon a data structure for use with a host user interface associated with a host application, said data structure defining a representation of a secondary user interface of a secondary application within a sidebar area of the host user interface, said data structure comprising: a plurality of part object parameters, each of said part object parameters representing a property of the secondary user interface, said property being selected from the group consisting of: Activewindow; Docked; IslnOverflow; ProcessGroup; Settings; View; Id; WidgetMenuButtonOffsetTop; WidgetMenuButtonOffsetRiqht; Hotkey; LogEvents; Shown; and Visibility; a part settings object parameter representing a configuration of the secondary user interface; a display object parameter representing at least one of an event and a property associated with the secondary user interface; a display screen object parameter representing at least one of a property and method of the secondary user interface; and an element object parameter representing at least one of an event, method or property of the secondary user interface. | 1. A computer-readable storage medium having stored thereon a data structure for use with a host user interface associated with a host application, said data structure defining a representation of a secondary user interface of a secondary application within a sidebar area of the host user interface, said data structure comprising: a plurality of part object parameters, each of said part object parameters representing a property of the secondary user interface, said property being selected from the group consisting of: Activewindow; Docked; IslnOverflow; ProcessGroup; Settings; View; Id; WidgetMenuButtonOffsetTop; WidgetMenuButtonOffsetRiqht; Hotkey; LogEvents; Shown; and Visibility; a part settings object parameter representing a configuration of the secondary user interface; a display object parameter representing at least one of an event and a property associated with the secondary user interface; a display screen object parameter representing at least one of a property and method of the secondary user interface; and an element object parameter representing at least one of an event, method or property of the secondary user interface. 7. The computer-readable storage medium of claim 1 , wherein the element object parameter represents an event of the secondary user interface and is selected from the group consisting of Drag Enter, Drag Leave, Drop, GotFocus, KeyDown, keyup, LostFocus, MouseEnter, MouseLeave, MouseLeRButtonDown, MouseLeftButtonUp, MouseMove, MouseRightButtonDown, MouseRightButtonUp, and Mousewheel. | 0.779243 |
9,898,567 | 21 | 24 | 21. A system for legalizing a circuit layout using a plurality of non-uniform grids, the circuit layout for manufacturing a circuit, the circuit layout comprised of a layout object, the system comprising: a constraint generation module configured to generate a set of layout constraints for the layout object based on the plurality of non-uniform grids, the set of layout constraints comprising design rule check constraints and gridding requirements, the gridding requirements being requisites for the layout object to align to one of the plurality of non-uniform grids, the layout object having layout variables to identify a position of the layout object; a constraint process module configured to process the set of layout constraints to a feasible form for the layout object to be modified to satisfy the set of layout constraints, the constraint process module comprising: a Boolean variable conversion module configured to assign Boolean variables to the layout variables, each Boolean variable from the Boolean variables assigned to a corresponding layout variable from the layout variables, an infeasibility determination module configured to determine whether the set of layout constraints is infeasible using the Boolean variables assigned to the layout variables, the infeasibility determination module further configured to identify an infeasible layout constraint from the set of layout constraints, responsive to the set of layout constraints determined to be infeasible, the infeasible layout constraint causing the set of layout constraints to be infeasible, and a constraint relaxation module configured to relax the identified infeasible layout constraint for the set of layout constraints to be in the feasible form, responsive to the set of layout constraints determined to be infeasible; and an output layout generator module configured to generate by solving the set of layout constraints in the feasible form with a linear program solver, an output circuit layout to provide for manufacture of the circuit. | 21. A system for legalizing a circuit layout using a plurality of non-uniform grids, the circuit layout for manufacturing a circuit, the circuit layout comprised of a layout object, the system comprising: a constraint generation module configured to generate a set of layout constraints for the layout object based on the plurality of non-uniform grids, the set of layout constraints comprising design rule check constraints and gridding requirements, the gridding requirements being requisites for the layout object to align to one of the plurality of non-uniform grids, the layout object having layout variables to identify a position of the layout object; a constraint process module configured to process the set of layout constraints to a feasible form for the layout object to be modified to satisfy the set of layout constraints, the constraint process module comprising: a Boolean variable conversion module configured to assign Boolean variables to the layout variables, each Boolean variable from the Boolean variables assigned to a corresponding layout variable from the layout variables, an infeasibility determination module configured to determine whether the set of layout constraints is infeasible using the Boolean variables assigned to the layout variables, the infeasibility determination module further configured to identify an infeasible layout constraint from the set of layout constraints, responsive to the set of layout constraints determined to be infeasible, the infeasible layout constraint causing the set of layout constraints to be infeasible, and a constraint relaxation module configured to relax the identified infeasible layout constraint for the set of layout constraints to be in the feasible form, responsive to the set of layout constraints determined to be infeasible; and an output layout generator module configured to generate by solving the set of layout constraints in the feasible form with a linear program solver, an output circuit layout to provide for manufacture of the circuit. 24. The system of claim 21 , wherein the constraint process module is configured to iteratively relax the identified infeasible layout constraint and determine whether the set of layout constraints is infeasible until the set of layout constraints becomes feasible. | 0.723958 |
8,909,595 | 1 | 4 | 1. A method for generating a clinical report in a natural language text representation, said method operative within a computing device for controlling said computing device to perform the functions of: compiling data representing a selected state of a plurality of data elements which symbolize specific questions pertaining to a medical condition of a patient, including compiling positive findings selected by a user, and compiling negative findings selected by the user; building a tree structure by processing individual phrases, said individual phrases generated dynamically upon receiving individual selections of said data elements, wherein a selection of a data element of the plurality of elements generates an individual phrase, wherein each individual successive word in each phrase is added to the tree structure; associating each word in the tree structure with positive and negative values of a selected data elements, a positive value corresponding to a positive finding selected by the user and a negative value corresponding to a negative finding selected by the user, wherein the associating includes identifying a first tally corresponding to the number of occurrences of each word in an individual phrase generated by a selection of a positive value of the selected data element and identifying a second tally corresponding to the number of occurrences of each word in an individual phrase generated by a selection of a negative value of the selected data element; and generating a textual prose representation of correlated compiled data by using a built one of said tree, wherein said generating includes combining a plurality of words in the tree structure into at least one sentence for said textual prose representation by correlating the first tally and the second tally. | 1. A method for generating a clinical report in a natural language text representation, said method operative within a computing device for controlling said computing device to perform the functions of: compiling data representing a selected state of a plurality of data elements which symbolize specific questions pertaining to a medical condition of a patient, including compiling positive findings selected by a user, and compiling negative findings selected by the user; building a tree structure by processing individual phrases, said individual phrases generated dynamically upon receiving individual selections of said data elements, wherein a selection of a data element of the plurality of elements generates an individual phrase, wherein each individual successive word in each phrase is added to the tree structure; associating each word in the tree structure with positive and negative values of a selected data elements, a positive value corresponding to a positive finding selected by the user and a negative value corresponding to a negative finding selected by the user, wherein the associating includes identifying a first tally corresponding to the number of occurrences of each word in an individual phrase generated by a selection of a positive value of the selected data element and identifying a second tally corresponding to the number of occurrences of each word in an individual phrase generated by a selection of a negative value of the selected data element; and generating a textual prose representation of correlated compiled data by using a built one of said tree, wherein said generating includes combining a plurality of words in the tree structure into at least one sentence for said textual prose representation by correlating the first tally and the second tally. 4. The method of claim 1 further comprising: generating said selected state data by a user accepting or rejecting individual data elements contained in a listing of said data elements. | 0.931852 |
9,075,849 | 1 | 5 | 1. A computerized search engine for identifying and ranking relevant documents from a corpus of citationally-related documents, said computerized search engine comprising: an input interface that enables a user to select a first set of identification information identifying one or more input documents from said corpus of citationally-related documents; a computer-accessible index stored in a computer-readable storage device, said computer-accessible index comprising identification information identifying each potential input document from said corpus of citationally-related documents and, for each said potential input document, identification information identifying a selected number of citationally-related potential output documents from said corpus of citationally-related documents, said computer-accessible index further comprising for each pair of citationally-related potential input document and potential output document a first numerical score that is statistically correlated to the probability that a direct citation exists between each said pair of citationally related documents and wherein said first numerical score is calculated based at least in part on how many indirect citations exist between each said pair of citationally related documents and, for each indirect citation, how many citation links separate each said pair of citationally-related documents; a computer processor configured to execute instructions stored in a computer-readable storage device, said instructions configured to cause said computer processor to: access, from said computer-accessible index, a second set of identification information identifying one or more output documents corresponding to each of said one or more input documents and, for each identified pair of citationally-related input document and output document, said corresponding first numerical score; and calculate, for each identified output document, a second numerical score that is statistically correlated to the probability that a direct citation exists between any of said one or more input documents and each said identified output document, and wherein said second numerical score is calculated based at least in part on said first numerical score; and an output interface to display search results comprising identification information corresponding to said one or more output documents and wherein said search results are ranked in accordance with said second numerical score. | 1. A computerized search engine for identifying and ranking relevant documents from a corpus of citationally-related documents, said computerized search engine comprising: an input interface that enables a user to select a first set of identification information identifying one or more input documents from said corpus of citationally-related documents; a computer-accessible index stored in a computer-readable storage device, said computer-accessible index comprising identification information identifying each potential input document from said corpus of citationally-related documents and, for each said potential input document, identification information identifying a selected number of citationally-related potential output documents from said corpus of citationally-related documents, said computer-accessible index further comprising for each pair of citationally-related potential input document and potential output document a first numerical score that is statistically correlated to the probability that a direct citation exists between each said pair of citationally related documents and wherein said first numerical score is calculated based at least in part on how many indirect citations exist between each said pair of citationally related documents and, for each indirect citation, how many citation links separate each said pair of citationally-related documents; a computer processor configured to execute instructions stored in a computer-readable storage device, said instructions configured to cause said computer processor to: access, from said computer-accessible index, a second set of identification information identifying one or more output documents corresponding to each of said one or more input documents and, for each identified pair of citationally-related input document and output document, said corresponding first numerical score; and calculate, for each identified output document, a second numerical score that is statistically correlated to the probability that a direct citation exists between any of said one or more input documents and each said identified output document, and wherein said second numerical score is calculated based at least in part on said first numerical score; and an output interface to display search results comprising identification information corresponding to said one or more output documents and wherein said search results are ranked in accordance with said second numerical score. 5. The computerized search engine of claim 1 wherein said input interface and/or said output interface enable said user to select said first set of identification information at least in part from said search results. | 0.809649 |
8,265,926 | 5 | 7 | 5. An electronic device comprising: a processor apparatus comprising a processor and a memory having stored therein a number of language objects and a number of associated frequency objects, at least some of the language objects each comprising a number of characters; a display; and the memory further having stored therein one or more routines which, when executed on the processor, cause the electronic device to perform operations comprising: detecting an ambiguous text input including a set of characters; generating a number of compound language solutions by identifying a language object that corresponds with an initial set of characters of the ambiguous text input and identifying another language object that corresponds with another portion of the ambiguous text input; for at least a first compound language solution, generating a junction object comprising a terminal character of the language object and an initial character of the another language object; determining for at least the first compound language solution a frequency value of a language object corresponding with the junction object or a frequency value of zero if no language object corresponding with the junction object is found; and employing the frequency value in outputting with the display a representation of each of at least some of the compound language solutions. | 5. An electronic device comprising: a processor apparatus comprising a processor and a memory having stored therein a number of language objects and a number of associated frequency objects, at least some of the language objects each comprising a number of characters; a display; and the memory further having stored therein one or more routines which, when executed on the processor, cause the electronic device to perform operations comprising: detecting an ambiguous text input including a set of characters; generating a number of compound language solutions by identifying a language object that corresponds with an initial set of characters of the ambiguous text input and identifying another language object that corresponds with another portion of the ambiguous text input; for at least a first compound language solution, generating a junction object comprising a terminal character of the language object and an initial character of the another language object; determining for at least the first compound language solution a frequency value of a language object corresponding with the junction object or a frequency value of zero if no language object corresponding with the junction object is found; and employing the frequency value in outputting with the display a representation of each of at least some of the compound language solutions. 7. The electronic device of claim 5 , wherein the number of language objects comprise a number of word objects and a number of n-gram objects, and wherein the operations further comprise: assigning to at least the first compound language solution a frequency value of a n-gram object corresponding with the junction object or a frequency value of zero if no n-gram object corresponding with the junction object is found. | 0.623656 |
8,180,783 | 1 | 8 | 1. A ranking system comprising: a memory comprising at least one negation term; a processor comprising: a document ranking application comprising modules executable by the processor to process a plurality of documents retrieved from a data source, the document ranking application comprising: a token generation module to generate a corresponding token for each word in document data included in at least one of the plurality of documents; and a tagging module to: retrieve the at least one negation term and at least one negation rule from the memory; compare the at least one negation term according to the at least one negation rule to other terms in the document data that are within a selected proximity of each word; assign a negative tag to the corresponding token for a particular word if the at least one negation term matches any other terms within the selected proximity of the particular word according to the negation rule; assign a positive tag to the corresponding token for the particular word if the at least one negation term does not match any of the other terms within the selected proximity of the particular word according to the negation rule; and store processed document data for the at least one document in a data store, the processed document data comprising document content, tokens, and the tags assigned to each of the tokens; a document data display application comprising modules executable by the processor to generate processed document data for display in response to a search request, the document data display application comprising: a token analysis module to: receive the search request including document identification data; identify the processed document data in the data store that corresponds to the document identification data; and search the processed document data for tokens that have been assigned the positive context tag; and a display module to generate the processed document data for display that includes visual indicators for each word where the corresponding token is assigned the positive context tag. | 1. A ranking system comprising: a memory comprising at least one negation term; a processor comprising: a document ranking application comprising modules executable by the processor to process a plurality of documents retrieved from a data source, the document ranking application comprising: a token generation module to generate a corresponding token for each word in document data included in at least one of the plurality of documents; and a tagging module to: retrieve the at least one negation term and at least one negation rule from the memory; compare the at least one negation term according to the at least one negation rule to other terms in the document data that are within a selected proximity of each word; assign a negative tag to the corresponding token for a particular word if the at least one negation term matches any other terms within the selected proximity of the particular word according to the negation rule; assign a positive tag to the corresponding token for the particular word if the at least one negation term does not match any of the other terms within the selected proximity of the particular word according to the negation rule; and store processed document data for the at least one document in a data store, the processed document data comprising document content, tokens, and the tags assigned to each of the tokens; a document data display application comprising modules executable by the processor to generate processed document data for display in response to a search request, the document data display application comprising: a token analysis module to: receive the search request including document identification data; identify the processed document data in the data store that corresponds to the document identification data; and search the processed document data for tokens that have been assigned the positive context tag; and a display module to generate the processed document data for display that includes visual indicators for each word where the corresponding token is assigned the positive context tag. 8. The system of claim 1 wherein the visual indicators comprises term clouds. | 0.981109 |
8,051,088 | 1 | 8 | 1. A computer-implemented method, comprising: generating a plurality of intent maps representing event structures based on sentences included in a plurality of documents, including a first intent map corresponding to a first document and a second intent map corresponding to a second document, wherein generating an intent map for a selected document includes: parsing the selected document to identify one or more sentences included in the selected document; and extracting an event structure from at least one sentence of the one or more sentences, wherein the event structure includes data descriptive of an actor and an action described in the at least one sentence; performing a comparison of at least one event structure of the first intent map and at least one event structure of the second intent map; and determining, based on the comparison, whether at least a portion of the first document is duplicative of at least a portion of the second document. | 1. A computer-implemented method, comprising: generating a plurality of intent maps representing event structures based on sentences included in a plurality of documents, including a first intent map corresponding to a first document and a second intent map corresponding to a second document, wherein generating an intent map for a selected document includes: parsing the selected document to identify one or more sentences included in the selected document; and extracting an event structure from at least one sentence of the one or more sentences, wherein the event structure includes data descriptive of an actor and an action described in the at least one sentence; performing a comparison of at least one event structure of the first intent map and at least one event structure of the second intent map; and determining, based on the comparison, whether at least a portion of the first document is duplicative of at least a portion of the second document. 8. The computer-implemented method of claim 1 , wherein one or more of the event structures include data descriptive of a time associated with the action. | 0.8768 |
8,131,551 | 14 | 15 | 14. A system for controlling movement of a virtual animated entity during a transition from speaking to listening, the system comprising: a processor; a first module controlling the processor, as the virtual animated entity is concluding a speaking segment, to select transition movement data based at least in part on a syntactic analysis of speech to be spoken by the virtual animated entity and further based on a user culture determined by an analysis of prosody associated with received speech from a user, the analysis being independent of an identity of the user and the transition movement data not based on a previously-stored template for controlling the movement of the virtual animated entity; and a second module controlling the processor to control the movement of the virtual animated entity from a first time the virtual animated entity has approximately finished speaking and through a second time at which the virtual animated entity stops speaking based on the user culture, wherein after the virtual animated entity stops speaking the transition movement data continues to control movement of the virtual animated entity to signal the user to speak. | 14. A system for controlling movement of a virtual animated entity during a transition from speaking to listening, the system comprising: a processor; a first module controlling the processor, as the virtual animated entity is concluding a speaking segment, to select transition movement data based at least in part on a syntactic analysis of speech to be spoken by the virtual animated entity and further based on a user culture determined by an analysis of prosody associated with received speech from a user, the analysis being independent of an identity of the user and the transition movement data not based on a previously-stored template for controlling the movement of the virtual animated entity; and a second module controlling the processor to control the movement of the virtual animated entity from a first time the virtual animated entity has approximately finished speaking and through a second time at which the virtual animated entity stops speaking based on the user culture, wherein after the virtual animated entity stops speaking the transition movement data continues to control movement of the virtual animated entity to signal the user to speak. 15. The system of claim 14 , wherein the transition movement data is selected from a transition movement database. | 0.759494 |
9,009,658 | 5 | 6 | 5. The method according to claim 1 , further comprising providing a code generator that generates process flows. | 5. The method according to claim 1 , further comprising providing a code generator that generates process flows. 6. The method according to claim 5 , further comprising steps wherein the code generator uses interfaces offered by standard artifacts for specific technologies and generates the artifacts into different technology layers. | 0.975759 |
7,750,891 | 61 | 79 | 61. A system for selectable input based on motion of a pointing device in relation to an region, comprising: means for tracking the motion of the pointing device in relation to the region; a determined device path, comprising a plurality of positions and corresponding times, based upon the tracked motion; a comparison of subsequent positions and corresponding times to path data; means for detecting subsequent positions that meet at least one threshold of a selected position along the determined device path, wherein the determined device path comprises at least two selected positions, wherein the threshold of a selected position within the region comprises any of starting the device path, looping the device path, changing direction of the device path, changing velocity of the device path, pausing motion in the device path, and ending the device path, and wherein the threshold of changing direction comprises any of a curve having an estimated radius that is less than a threshold geometry, a comparison of the device oath direction before and after a curve, a sharp cusp edge in the device path, and a comparison of oath direction before and after a cusp; means for determining which of the detected selected positions along the determined device path correspond to a selectable character; and means for sequential entry of each of the detected selected positions that correspond to a selectable character. | 61. A system for selectable input based on motion of a pointing device in relation to an region, comprising: means for tracking the motion of the pointing device in relation to the region; a determined device path, comprising a plurality of positions and corresponding times, based upon the tracked motion; a comparison of subsequent positions and corresponding times to path data; means for detecting subsequent positions that meet at least one threshold of a selected position along the determined device path, wherein the determined device path comprises at least two selected positions, wherein the threshold of a selected position within the region comprises any of starting the device path, looping the device path, changing direction of the device path, changing velocity of the device path, pausing motion in the device path, and ending the device path, and wherein the threshold of changing direction comprises any of a curve having an estimated radius that is less than a threshold geometry, a comparison of the device oath direction before and after a curve, a sharp cusp edge in the device path, and a comparison of oath direction before and after a cusp; means for determining which of the detected selected positions along the determined device path correspond to a selectable character; and means for sequential entry of each of the detected selected positions that correspond to a selectable character. 79. The system of claim 61 , further comprising: means for disambiguating at least one subsequent position based upon a contextual comparison between the subsequent position and stored information. | 0.730137 |
9,208,218 | 9 | 10 | 9. The computer-implemented method of claim 7 , further comprising organizing, by a configurator operated by the computer system, the other content items into a directed acyclic graph of sub-collections to facilitate searching the other content items using the search expression to generate a search result containing selected ones of the other content items considered relevant to the content item, to facilitate the evaluation. | 9. The computer-implemented method of claim 7 , further comprising organizing, by a configurator operated by the computer system, the other content items into a directed acyclic graph of sub-collections to facilitate searching the other content items using the search expression to generate a search result containing selected ones of the other content items considered relevant to the content item, to facilitate the evaluation. 10. The computer-implemented method of claim 9 , wherein the other content items have associated geometries, and organizing comprises organizing the other content items including the associated geometries into the directed acyclic graph of sub-collections. | 0.936255 |
8,099,662 | 8 | 14 | 8. An apparatus comprising: one or more processors and a memory; an input module adapted to receive, from a user interface, an annotation associated with a background image; a control module adapted to add the annotation to a queue of pending annotations; an output module adapted to transmit the annotation from the apparatus to a server; wherein the control module removes the annotation from the queue of pending annotations, and adds the annotation to a list of acknowledged annotations, when an acknowledgment of the annotation is received by the apparatus from the server; wherein the output module generates a display image comprising the background image, annotations in the list of acknowledged annotations, and annotations in the queue of pending annotations; and wherein the one or more processors and the memory cooperate to implement at least in part the input, output and control modules. | 8. An apparatus comprising: one or more processors and a memory; an input module adapted to receive, from a user interface, an annotation associated with a background image; a control module adapted to add the annotation to a queue of pending annotations; an output module adapted to transmit the annotation from the apparatus to a server; wherein the control module removes the annotation from the queue of pending annotations, and adds the annotation to a list of acknowledged annotations, when an acknowledgment of the annotation is received by the apparatus from the server; wherein the output module generates a display image comprising the background image, annotations in the list of acknowledged annotations, and annotations in the queue of pending annotations; and wherein the one or more processors and the memory cooperate to implement at least in part the input, output and control modules. 14. The apparatus of claim 8 : wherein the output module generates an acknowledged annotation image comprising the background image, and the annotations in the list of acknowledged annotations; and wherein the output module generates the display image based on the acknowledged annotation image and the annotations in the queue of pending annotations. | 0.50142 |
7,546,334 | 49 | 56 | 49. An information processing system for filtering and securing from input data, one or more security sensitive words, characters or data objects with an adaptive filter in a computer system, said adaptive filter used in conjunction with a compilation of additional data, the system comprising: means for identifying said security sensitive words, characters or data objects in said compilation of additional data; means for retrieving at least one of contextual, semiotic and taxonomic words, characters or data objects from said compilation of additional data related to said security sensitive words, characters or data objects; a filter compiled from said security sensitive words, characters or data objects and the retrieved data related to said security sensitive words, characters or data objects; and an extractor, cooperating with said filter, for extracting, from said input data, said security sensitive words, characters or data objects and said retrieved data to obtain extracted data and remainder data therefrom; and means for storing either the extracted data separately from said remainder data or storing partial versions of said extracted data with said remainder data based upon multiple security levels unique to each partial version. | 49. An information processing system for filtering and securing from input data, one or more security sensitive words, characters or data objects with an adaptive filter in a computer system, said adaptive filter used in conjunction with a compilation of additional data, the system comprising: means for identifying said security sensitive words, characters or data objects in said compilation of additional data; means for retrieving at least one of contextual, semiotic and taxonomic words, characters or data objects from said compilation of additional data related to said security sensitive words, characters or data objects; a filter compiled from said security sensitive words, characters or data objects and the retrieved data related to said security sensitive words, characters or data objects; and an extractor, cooperating with said filter, for extracting, from said input data, said security sensitive words, characters or data objects and said retrieved data to obtain extracted data and remainder data therefrom; and means for storing either the extracted data separately from said remainder data or storing partial versions of said extracted data with said remainder data based upon multiple security levels unique to each partial version. 56. An information processing system as claimed in claim 49 wherein said means for retrieving includes means for retrieving semiotic words, characters or data objects from said compilation of additional data related to said security sensitive words, characters or data objects and is based upon synonyms, antonyms, and pseudonyms of said security sensitive words, characters or data objects; syntactics of said security sensitive words, characters or data objects as reflected in said compilation of additional data; and pragmatics of said security sensitive words, characters or data objects as reflected in said compilation of additional data. | 0.651351 |
8,495,055 | 1 | 3 | 1. A method for evaluating a conjunctive query, the method executed as a computer program by a general purpose computer, the conjunctive query comprising an at least one first predicate having variables; wherein the at least one first predicate is a relational predicate that is evaluated with a first engine using a relational database, and an at least one second predicate having variables, wherein the at least one second predicate is an external predicate that is evaluated using a second engine without using a relational database; the method comprising the steps of: defining the relational predicates as treated and defining the external predicates as non-treated; defining a variable (X) as distinguished if it appears as an argument in a treated predicate and it is a variable of an expression of a non-treated predicate; selecting a distinguished variable (X) from the conjunctive query, in absence of a distinguished variable by definition, choosing one of the variables in a non-treated predicate to serve as distinguished; forming a binding column (Bx) that contains a superset of values that are possible values of the selected distinguished variable (X) that fit limitations imposed by being an argument of the treated predicates; wherein said binding column (Bx) includes all possible values if it was chosen to serve as distinguished; evaluating the non-treated predicates having the selected distinguished variable (X) as a variable using the possible values from the binding column (Bx); updating the binding column (Bx) to be limited to the possible values fitting the evaluated non-treated predicates; marking the evaluated non-treated predicates as treated; repeating the steps for additionally chosen or selected distinguished variables, until resolving the query. | 1. A method for evaluating a conjunctive query, the method executed as a computer program by a general purpose computer, the conjunctive query comprising an at least one first predicate having variables; wherein the at least one first predicate is a relational predicate that is evaluated with a first engine using a relational database, and an at least one second predicate having variables, wherein the at least one second predicate is an external predicate that is evaluated using a second engine without using a relational database; the method comprising the steps of: defining the relational predicates as treated and defining the external predicates as non-treated; defining a variable (X) as distinguished if it appears as an argument in a treated predicate and it is a variable of an expression of a non-treated predicate; selecting a distinguished variable (X) from the conjunctive query, in absence of a distinguished variable by definition, choosing one of the variables in a non-treated predicate to serve as distinguished; forming a binding column (Bx) that contains a superset of values that are possible values of the selected distinguished variable (X) that fit limitations imposed by being an argument of the treated predicates; wherein said binding column (Bx) includes all possible values if it was chosen to serve as distinguished; evaluating the non-treated predicates having the selected distinguished variable (X) as a variable using the possible values from the binding column (Bx); updating the binding column (Bx) to be limited to the possible values fitting the evaluated non-treated predicates; marking the evaluated non-treated predicates as treated; repeating the steps for additionally chosen or selected distinguished variables, until resolving the query. 3. The method of claim 1 wherein the external predicate is an XML predicate and the external engine is an XPath engine. | 0.929918 |
6,032,116 | 7 | 9 | 7. The speech recognition system of claim 1 further comprising: a quantizer having a codebook having C codewords for generating the distance measure between each of the P line spectral pair frequencies of the speech input signal and each of a plurality of reference speech signals; and a second speech classifier to receive the output data based on the distance measures and generate speech classification output data to classify the speech input signal as one of u vocabulary words. | 7. The speech recognition system of claim 1 further comprising: a quantizer having a codebook having C codewords for generating the distance measure between each of the P line spectral pair frequencies of the speech input signal and each of a plurality of reference speech signals; and a second speech classifier to receive the output data based on the distance measures and generate speech classification output data to classify the speech input signal as one of u vocabulary words. 9. The speech recognition system of claim 7 further comprising: a third speech classifier to receive output data from the first speech classifier and classify the speech input signal as one of the u vocabulary words. | 0.916987 |
9,413,702 | 12 | 13 | 12. The apparatus of claim 11 , wherein said broker is configured to change a merit value when a matching data element is found. | 12. The apparatus of claim 11 , wherein said broker is configured to change a merit value when a matching data element is found. 13. The apparatus of claim 12 , wherein said broker is configured to provide for sending the subsequent message to the second broker when the merit value passes a limit. | 0.948128 |
8,015,129 | 2 | 3 | 2. The method of claim 1 , wherein recursively rearranging the set of value-item lists further comprises utilizing a first similarity criterion, and wherein promoting the plurality of value-item elements from the rearranged lists is performed using a second disparate criterion. | 2. The method of claim 1 , wherein recursively rearranging the set of value-item lists further comprises utilizing a first similarity criterion, and wherein promoting the plurality of value-item elements from the rearranged lists is performed using a second disparate criterion. 3. The method of claim 2 , wherein the first and second criteria are inferred based on historic data on previously employed criteria. | 0.941564 |
8,473,971 | 11 | 18 | 11. A method comprising: employing at least one processor executing computer executable instructions stored on a memory to implement the following acts: supplying a user with an option, prior to compiling at least a portion of software code in a computing system, the software code portion including at least one variable of a changeable static type, that allows the user to determine whether to opt-in to utilize late binding during compilation of the software code portion, whether to opt-out and utilize non late binding and determine what type of late binding to implement on the software code portion during compilation of the software code portion associated with a programming language in which the software code portion was written, wherein the type for variables with changeable static types is inferred based on the use of the variable, wherein the at least one variable has one static type in one software code region and the same at least one variable has a different static type in another software code region, and wherein the option to opt-in or opt-out allows the same at least one variable name to be used with different static types in a plurality of different software code segments of the software code portion; determining that one of the late binding is to be utilized or the non late binding is to be utilized based at least in part on an indication regarding the option obtained from the user; performing the one of the late binding or the non late binding based at least in part on the determination; inferring a type of a variable; and changing a static type of the variable as part of the programming language. | 11. A method comprising: employing at least one processor executing computer executable instructions stored on a memory to implement the following acts: supplying a user with an option, prior to compiling at least a portion of software code in a computing system, the software code portion including at least one variable of a changeable static type, that allows the user to determine whether to opt-in to utilize late binding during compilation of the software code portion, whether to opt-out and utilize non late binding and determine what type of late binding to implement on the software code portion during compilation of the software code portion associated with a programming language in which the software code portion was written, wherein the type for variables with changeable static types is inferred based on the use of the variable, wherein the at least one variable has one static type in one software code region and the same at least one variable has a different static type in another software code region, and wherein the option to opt-in or opt-out allows the same at least one variable name to be used with different static types in a plurality of different software code segments of the software code portion; determining that one of the late binding is to be utilized or the non late binding is to be utilized based at least in part on an indication regarding the option obtained from the user; performing the one of the late binding or the non late binding based at least in part on the determination; inferring a type of a variable; and changing a static type of the variable as part of the programming language. 18. The method of claim 11 further comprising employing a refactoring mechanism that expands to designate a type explicitly. | 0.589404 |
7,895,275 | 2 | 5 | 2. The computer-implemented method of claim 1 wherein effecting review of the digital content comprises: a) selecting a group of reviewers from the others of the plurality of authors for a review at a first quality level that is less than the target quality level based on the reviewer credentials; b) effecting transfer of the digital content to user devices associated with the group of reviewers; c) receiving feedback from the group of reviewers; d) determining whether the digital content is to be reviewed at a next quality level based on the feedback and the target quality level; and e) if the digital content is to be reviewed at the next quality level, repeating steps a)-e) for the next quality level. | 2. The computer-implemented method of claim 1 wherein effecting review of the digital content comprises: a) selecting a group of reviewers from the others of the plurality of authors for a review at a first quality level that is less than the target quality level based on the reviewer credentials; b) effecting transfer of the digital content to user devices associated with the group of reviewers; c) receiving feedback from the group of reviewers; d) determining whether the digital content is to be reviewed at a next quality level based on the feedback and the target quality level; and e) if the digital content is to be reviewed at the next quality level, repeating steps a)-e) for the next quality level. 5. The computer-implemented method of claim 2 further comprising providing the feedback to the one of the plurality of authors based on the feedback from each of the groups of reviewers if the digital content is not to be reviewed at the next quality level. | 0.899766 |
10,146,404 | 4 | 5 | 4. The method of claim 2 , further comprising: storing the first character and the second character; and in response to the indication to undo, retrieving the stored first and second character; and displaying the stored first and second character. | 4. The method of claim 2 , further comprising: storing the first character and the second character; and in response to the indication to undo, retrieving the stored first and second character; and displaying the stored first and second character. 5. The method of claim 4 , wherein the first character and the second character are stored in a buffer. | 0.96819 |
9,400,778 | 14 | 21 | 14. A system for textual statement relationship identification, the system comprising: a database configured to store a first set of textual statements and a second set of textual statements; a text analysis system comprising a pre-processing module, a processor, non-transitory computer readable storage medium, and a graphics processor wherein: the pre-processing module is configured to remove non-alpha numeric characters from one or more textual statements; the processor is in communication with the pre-processing module and is configured to receive pre-processed textual statements; the non-transitory computer readable storage medium has stored therein data instructions executable by the processor to cause the processor to perform acts of: identifying a textual statement pair that includes a first textual statement and a second textual statement, the first textual statement comprising a first set of words and the second textual statement comprising a second set of words; extracting a parsed word group pair from the textual statement pair, where the parsed word group pair includes a first parsed word group from the first textual statement and a second parsed word group from the second textual statement, wherein the parsed word group pair includes a plurality of term pairs, the plurality of term pairs including a verb pair comprising a verb from the first word group and a verb from the second word group, an object pair comprising an object from the first word group and an object from the second word group, and a preposition pair comprising a preposition from the first word group and a preposition from the second word group; comparing, for the textual statement pair, the first parsed word group and the second parsed word group; calculating a verb pair sub-score, an object pair sub-score, and a preposition pair sub-score based on comparison of the textual statement pair, the first parsed word group and the second parsed word group; calculating, a parsed word score for the textual statement pair, wherein the parsed word score is based on comparison of the first parsed word group and the second parsed word group wherein the parsed word score is a product of at least one of the verb pair sub-score, the object pair sub-score, and the preposition pair sub-score; determining a match score for the textual statement pair based on the parsed word score; and generating a user interface configured to depict one or more first textual statements and one or more second textual statements along with one or more match indicators that visually indicate a match between one or more of the first textual statements and one or more of the second textual statements; communicating the generated user interface to the graphics processor; and the graphics processor is in communicating with a display to thereby cause the display to visually display the generated user interface. | 14. A system for textual statement relationship identification, the system comprising: a database configured to store a first set of textual statements and a second set of textual statements; a text analysis system comprising a pre-processing module, a processor, non-transitory computer readable storage medium, and a graphics processor wherein: the pre-processing module is configured to remove non-alpha numeric characters from one or more textual statements; the processor is in communication with the pre-processing module and is configured to receive pre-processed textual statements; the non-transitory computer readable storage medium has stored therein data instructions executable by the processor to cause the processor to perform acts of: identifying a textual statement pair that includes a first textual statement and a second textual statement, the first textual statement comprising a first set of words and the second textual statement comprising a second set of words; extracting a parsed word group pair from the textual statement pair, where the parsed word group pair includes a first parsed word group from the first textual statement and a second parsed word group from the second textual statement, wherein the parsed word group pair includes a plurality of term pairs, the plurality of term pairs including a verb pair comprising a verb from the first word group and a verb from the second word group, an object pair comprising an object from the first word group and an object from the second word group, and a preposition pair comprising a preposition from the first word group and a preposition from the second word group; comparing, for the textual statement pair, the first parsed word group and the second parsed word group; calculating a verb pair sub-score, an object pair sub-score, and a preposition pair sub-score based on comparison of the textual statement pair, the first parsed word group and the second parsed word group; calculating, a parsed word score for the textual statement pair, wherein the parsed word score is based on comparison of the first parsed word group and the second parsed word group wherein the parsed word score is a product of at least one of the verb pair sub-score, the object pair sub-score, and the preposition pair sub-score; determining a match score for the textual statement pair based on the parsed word score; and generating a user interface configured to depict one or more first textual statements and one or more second textual statements along with one or more match indicators that visually indicate a match between one or more of the first textual statements and one or more of the second textual statements; communicating the generated user interface to the graphics processor; and the graphics processor is in communicating with a display to thereby cause the display to visually display the generated user interface. 21. The system of claim 14 , wherein the storage medium further comprises: instructions to calculate, through the use of the at least one processor, a word vector score for the textual statement pair, wherein the word vector score is based on the comparison of a first word vector and a second word vector, the first word vector based on the first set of words and the second word vector based on the second set of words; instructions to compare the word vector score and the parsed word score; and instructions to calculate the match score based on the greater of the word vector score and the parsed word score. | 0.82055 |
8,913,731 | 6 | 8 | 6. The method of claim 1 , further comprising associating the particular user with a plurality of possible endpoints. | 6. The method of claim 1 , further comprising associating the particular user with a plurality of possible endpoints. 8. The method of claim 6 , further comprising providing presence information regarding which endpoint of the plurality of possible endpoints the particular user favors. | 0.94072 |
8,788,259 | 1 | 5 | 1. A computer-implemented method comprising: obtaining a set of language indicators that comprises an indication of a language used by a second user that is socially connected to a first user, each language indicator related to a language potentially preferred by the first user; by a processor, applying a set of rules to the language indicators to obtain a set of preferred languages for the first user, the set of preferred languages being ordered according to a determined likelihood that each language is the first user's primary preferred language; and localizing a first application based upon the highest-order preferred language. | 1. A computer-implemented method comprising: obtaining a set of language indicators that comprises an indication of a language used by a second user that is socially connected to a first user, each language indicator related to a language potentially preferred by the first user; by a processor, applying a set of rules to the language indicators to obtain a set of preferred languages for the first user, the set of preferred languages being ordered according to a determined likelihood that each language is the first user's primary preferred language; and localizing a first application based upon the highest-order preferred language. 5. The method of claim 1 , wherein the set of language indicators comprises an indication of a language specified by a cookie available at the first user's browser. | 0.825532 |
7,590,542 | 33 | 34 | 33. The computer readable storage medium of claim 28 further comprising instructions for causing a processor to generate a voice-capable markup language compare page with the test voice-capable markup language server in response to the second software call. | 33. The computer readable storage medium of claim 28 further comprising instructions for causing a processor to generate a voice-capable markup language compare page with the test voice-capable markup language server in response to the second software call. 34. The computer readable storage medium of claim 33 further comprising instructions for causing a processor to compare the voice-capable markup language test page to the voice-capable markup language compare page. | 0.932957 |
9,277,041 | 1 | 5 | 1. A method of recognising a numeric or alphanumeric sequence of characters in a document, said sequence conforming to predetermined rules, and representing user identifiers for identifying users in a communications system, the method comprising: identifying a country of origin of the document, the determined country of origin capable of being changed by a user; recalling rules relating to a format of said sequence associated with the determined country of origin; searching the document to identify any sequence in the document satisfying said format; determining a rate associated with said sequence; converting said sequence into a call format for the determined country of origin; and returning any such sequence and the determined rate in a currency associated with the determined country of origin. | 1. A method of recognising a numeric or alphanumeric sequence of characters in a document, said sequence conforming to predetermined rules, and representing user identifiers for identifying users in a communications system, the method comprising: identifying a country of origin of the document, the determined country of origin capable of being changed by a user; recalling rules relating to a format of said sequence associated with the determined country of origin; searching the document to identify any sequence in the document satisfying said format; determining a rate associated with said sequence; converting said sequence into a call format for the determined country of origin; and returning any such sequence and the determined rate in a currency associated with the determined country of origin. 5. A method according to claim 1 , wherein said sequences represent phone or fax numbers. | 0.885013 |
7,668,873 | 13 | 17 | 13. A system for generating an accessible metadata store in a source document, the system comprising: a processor; and a memory having computer-executable instructions stored thereon, wherein the computer executable instructions are configured for: generating a source document on a source application, wherein the source document includes surface view data that is exposed on a presentation layer when the source document is rendered and metadata that is unexposed on the presentation layer when the source document is rendered; structuring the metadata of the source document into a mark-up language (ML) document; storing the ML document that includes the metadata of the source document in the metadata store separate from the surface view data of the source document, wherein the metadata store and the surface view data are stored in the source document; attaching an ML schema file to the ML document that includes the metadata of the source document, wherein the ML schema file is stored in the metadata store of the source document; exposing application programming interfaces (APIs) to the metadata store, wherein the APIs provide other applications having application types different than the source application access to the ML document that includes the metadata of the source document via object models of the other applications, wherein the exposed APIs for the metadata store permit the other applications to: load the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data, monitor modifications to the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data, modify the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data, when a modification of the metadata is received at the metadata store, receive a change notification from the metadata store of a modification to the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data, and undo modifications to the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data. | 13. A system for generating an accessible metadata store in a source document, the system comprising: a processor; and a memory having computer-executable instructions stored thereon, wherein the computer executable instructions are configured for: generating a source document on a source application, wherein the source document includes surface view data that is exposed on a presentation layer when the source document is rendered and metadata that is unexposed on the presentation layer when the source document is rendered; structuring the metadata of the source document into a mark-up language (ML) document; storing the ML document that includes the metadata of the source document in the metadata store separate from the surface view data of the source document, wherein the metadata store and the surface view data are stored in the source document; attaching an ML schema file to the ML document that includes the metadata of the source document, wherein the ML schema file is stored in the metadata store of the source document; exposing application programming interfaces (APIs) to the metadata store, wherein the APIs provide other applications having application types different than the source application access to the ML document that includes the metadata of the source document via object models of the other applications, wherein the exposed APIs for the metadata store permit the other applications to: load the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data, monitor modifications to the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data, modify the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data, when a modification of the metadata is received at the metadata store, receive a change notification from the metadata store of a modification to the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data, and undo modifications to the metadata, stored in the metadata store that is stored in the source document, independent of the surface view data. 17. The system of claim 13 , wherein the surface view data is stored in the source document in a separate data store from the metadata store. | 0.922357 |
6,097,888 | 37 | 44 | 37. A computer system for generating a computer program, the computer program having a plurality of high-level computational constructs, each high-level computational construct having a behavior, the computer system comprising: a component that creates an intentional program tree by direct manipulation of the intentional program tree, the intentional program tree having nodes representing the high-level computational constructs of the computer program; a component that reduces the intentional program tree to a reduced program tree, the reduced program tree having nodes representing low-level computational constructs, each high-level computational construct having a reduction enzyme for reducing a node representing the high-level computational construct into one or more nodes that implement the behavior of the high-level computational construct, each of the nodes representing a low-level computational construct; a component that adds a new high-level computational construct for use in creating the intentional program tree, the new high-level computational construct having a reduction enzyme, the new high-level computational construct for use in the intentional program tree; and a component that generates executable code based in the reduced program tree. | 37. A computer system for generating a computer program, the computer program having a plurality of high-level computational constructs, each high-level computational construct having a behavior, the computer system comprising: a component that creates an intentional program tree by direct manipulation of the intentional program tree, the intentional program tree having nodes representing the high-level computational constructs of the computer program; a component that reduces the intentional program tree to a reduced program tree, the reduced program tree having nodes representing low-level computational constructs, each high-level computational construct having a reduction enzyme for reducing a node representing the high-level computational construct into one or more nodes that implement the behavior of the high-level computational construct, each of the nodes representing a low-level computational construct; a component that adds a new high-level computational construct for use in creating the intentional program tree, the new high-level computational construct having a reduction enzyme, the new high-level computational construct for use in the intentional program tree; and a component that generates executable code based in the reduced program tree. 44. The computer system of claim 37 including a component that annotates the intentional program tree with information to facilitate the transforming of the intentional program tree by the reduction enzymes. | 0.708451 |
8,073,848 | 18 | 25 | 18. The method of claim 13 , wherein the time of the user selection actions are represented as time slots of a specified duration. | 18. The method of claim 13 , wherein the time of the user selection actions are represented as time slots of a specified duration. 25. The method of claim 18 , wherein the specified duration is about one month. | 0.986597 |
8,719,002 | 16 | 17 | 16. The computer usable program product of claim 11 , wherein, the translation is a first translation, the computer usable program product further comprising: computer usable code for locating a fourth portion, the fourth portion being a candidate for revising based on the revision, and the fourth portion being in a second translation in the shared translation database, wherein the first translation is a translation of an original content in a first language, wherein the second translation is a translation of an original content in a second language, and wherein the first and the second translations are distinct from one another; and computer usable code for suggesting the fourth portion for revision to a reviewing authority. | 16. The computer usable program product of claim 11 , wherein, the translation is a first translation, the computer usable program product further comprising: computer usable code for locating a fourth portion, the fourth portion being a candidate for revising based on the revision, and the fourth portion being in a second translation in the shared translation database, wherein the first translation is a translation of an original content in a first language, wherein the second translation is a translation of an original content in a second language, and wherein the first and the second translations are distinct from one another; and computer usable code for suggesting the fourth portion for revision to a reviewing authority. 17. The computer usable program product of claim 16 , wherein the first translation is stored in the shared translation database and the second translation is stored in a second translation database. | 0.944506 |
7,778,831 | 1 | 5 | 1. A method for voice recognition, the method comprising: obtaining a voice signal for an utterance of a speaker; determining a runtime pitch from the voice signal for the utterance; categorizing the speaker as male, female or child based on the runtime pitch; using the categorization as a basis for dynamically adjusting a maximum frequency f max and a minimum frequency f min of a filter bank used for processing the input utterance to produce an output, and using corresponding gender or age specific acoustic models to perform voice recognition based on the filter bank output. | 1. A method for voice recognition, the method comprising: obtaining a voice signal for an utterance of a speaker; determining a runtime pitch from the voice signal for the utterance; categorizing the speaker as male, female or child based on the runtime pitch; using the categorization as a basis for dynamically adjusting a maximum frequency f max and a minimum frequency f min of a filter bank used for processing the input utterance to produce an output, and using corresponding gender or age specific acoustic models to perform voice recognition based on the filter bank output. 5. The method of claim 1 wherein categorizing the speaker includes determining the speaker's age and/or gender. | 0.84188 |
7,620,627 | 7 | 11 | 7. One or more machine-readable storage media comprising instructions that are executable to cause one or more processing devices to: receive a first keyword entered into a search engine to search for Internet content; obtain categories that corresponds to the first keyword, the categories comprising second keywords that relate to the first keyword, second keywords in the categories having associated confidence scores, where a confidence score represents an indication of how often a keyword is hit within a corresponding category; present the categories that correspond to the first keyword; receive a selection corresponding to at least one of the categories; generate third keywords associated with the selection, wherein generating the third keywords comprises obtaining all or part of the second keywords in the at least one of the categories, and ranking obtained second keywords according to confidence score; and incorporate the third keywords into advertising content. | 7. One or more machine-readable storage media comprising instructions that are executable to cause one or more processing devices to: receive a first keyword entered into a search engine to search for Internet content; obtain categories that corresponds to the first keyword, the categories comprising second keywords that relate to the first keyword, second keywords in the categories having associated confidence scores, where a confidence score represents an indication of how often a keyword is hit within a corresponding category; present the categories that correspond to the first keyword; receive a selection corresponding to at least one of the categories; generate third keywords associated with the selection, wherein generating the third keywords comprises obtaining all or part of the second keywords in the at least one of the categories, and ranking obtained second keywords according to confidence score; and incorporate the third keywords into advertising content. 11. The one or more machine-readable storage media of claim 7 , wherein the third keywords are incorporated into metadata associated with the advertising content. | 0.817156 |
9,066,135 | 9 | 16 | 9. A system for generating content for a display of an electronic device, the content coordinating with video content displayed on a display of another electronic device, comprising: a communication interface operatively connected to receive subtitle data for the displayed video content from a video data source; a processing device that executes logical instructions to: analyze subtitle data for the displayed video content for presence of predetermined keywords from a keyword library and, by way of the analysis, identify one or more of the predetermined keywords that are present in the subtitle data for the displayed video content; identify links to media content, the media content relating to the one or more of the identified predetermined keywords that are present in the subtitle data for the displayed video content; output at least one of the links or the media content for display on the display of the electronic device as second screen content relative to the another electronic device; and control display of the second screen content in coordination with the display of the video content on the another electronic device, wherein the subtitle data contains synchronizing information and the control includes timing the output to output the at least one of the links or the media content at times when corresponding keywords are scheduled for display according to the synchronizing information. | 9. A system for generating content for a display of an electronic device, the content coordinating with video content displayed on a display of another electronic device, comprising: a communication interface operatively connected to receive subtitle data for the displayed video content from a video data source; a processing device that executes logical instructions to: analyze subtitle data for the displayed video content for presence of predetermined keywords from a keyword library and, by way of the analysis, identify one or more of the predetermined keywords that are present in the subtitle data for the displayed video content; identify links to media content, the media content relating to the one or more of the identified predetermined keywords that are present in the subtitle data for the displayed video content; output at least one of the links or the media content for display on the display of the electronic device as second screen content relative to the another electronic device; and control display of the second screen content in coordination with the display of the video content on the another electronic device, wherein the subtitle data contains synchronizing information and the control includes timing the output to output the at least one of the links or the media content at times when corresponding keywords are scheduled for display according to the synchronizing information. 16. The system of claim 9 , the analysis includes retaining words occurring more than a predetermined number of times in the subtitle data but not in the keyword library and the identification of links further includes identifying links to additional media content relating to the retained words, and including the links or additional media content corresponding to the retained words in the output in accordance with the control of the display of the second screen content. | 0.501053 |
9,251,143 | 23 | 24 | 23. The method of claim 22 , wherein: the document data comprises plural different portions of data; the determining, the translating, and the outputting are respectively performed for each respective one of the plural different portions of data; the plural different portions of data are arranged in an order in the input document; the output translated document data comprises translated portions of data in the same order as the input document. | 23. The method of claim 22 , wherein: the document data comprises plural different portions of data; the determining, the translating, and the outputting are respectively performed for each respective one of the plural different portions of data; the plural different portions of data are arranged in an order in the input document; the output translated document data comprises translated portions of data in the same order as the input document. 24. The method of claim 23 , further comprising storing metadata associated with each one of the plural different portions of data. | 0.933503 |
8,593,697 | 1 | 3 | 1. A method for preparing a document to be processed, the method comprising; specifying a property of the document; and generating a document widget representing the specified document property, the document widget comprising: a human-readable portion for interpretation by a user and a machine-readable portion including a Binary Constrained Double-triangular Toeplitz (BCDT) structure that encodes the specified document property, wherein the document widget is adapted to be processed in accordance with an optical recognition process so as to identify the document widget and enable extraction of the specified document property. | 1. A method for preparing a document to be processed, the method comprising; specifying a property of the document; and generating a document widget representing the specified document property, the document widget comprising: a human-readable portion for interpretation by a user and a machine-readable portion including a Binary Constrained Double-triangular Toeplitz (BCDT) structure that encodes the specified document property, wherein the document widget is adapted to be processed in accordance with an optical recognition process so as to identify the document widget and enable extraction of the specified document property. 3. The method of claim 1 , further comprising: providing the document. | 0.857143 |
7,877,421 | 1 | 14 | 1. A method executed in a computer for deriving a transformation for transforming first data conforming with a source data schema to second data conforming to a target data schema, the method comprising: providing an ontology model including classes and properties of classes; providing the source data schema; providing the target data schema, wherein the target data schema is different from the source data schema; identifying a first primary data construct within the source data schema; identifying a first secondary data construct within the first primary data construct; identifying a second primary data construct within the target data schema; identifying a second secondary data construct within the second primary data construct; generating a first mapping for mapping the first primary data construct to a corresponding class of the ontology model; generating a second mapping for mapping the first secondary data construct to a property of the corresponding class of the ontology model; generating a third mapping for mapping the second primary data to a corresponding class of the ontology model; generating a fourth mapping for mapping the second secondary data construct to a property of the corresponding class of the ontology model; and deriving the transformation, wherein the transformation is based on the first mapping, the second mapping, the third mapping, and the fourth mapping. | 1. A method executed in a computer for deriving a transformation for transforming first data conforming with a source data schema to second data conforming to a target data schema, the method comprising: providing an ontology model including classes and properties of classes; providing the source data schema; providing the target data schema, wherein the target data schema is different from the source data schema; identifying a first primary data construct within the source data schema; identifying a first secondary data construct within the first primary data construct; identifying a second primary data construct within the target data schema; identifying a second secondary data construct within the second primary data construct; generating a first mapping for mapping the first primary data construct to a corresponding class of the ontology model; generating a second mapping for mapping the first secondary data construct to a property of the corresponding class of the ontology model; generating a third mapping for mapping the second primary data to a corresponding class of the ontology model; generating a fourth mapping for mapping the second secondary data construct to a property of the corresponding class of the ontology model; and deriving the transformation, wherein the transformation is based on the first mapping, the second mapping, the third mapping, and the fourth mapping. 14. The method of claim 1 wherein said providing, identifying a primary data construct, and identifying a secondary data construct are enabled through a graphical user interface (GUI). | 0.811088 |
8,266,131 | 3 | 5 | 3. The method of claim 1 further comprising: a. evaluating if the predefined condition is true based on the search query and a response received corresponding to a question; and b. generating at least one succeeding question based on the predetermined ordering criterion, the search query and the response received corresponding to the question, if the predefined condition is true. | 3. The method of claim 1 further comprising: a. evaluating if the predefined condition is true based on the search query and a response received corresponding to a question; and b. generating at least one succeeding question based on the predetermined ordering criterion, the search query and the response received corresponding to the question, if the predefined condition is true. 5. The method of claim 3 , wherein the at least one succeeding question is selected from a second plurality of questions based on the predetermined ordering criterion, the second plurality of questions is generated based on the search query and the response to the question. | 0.924642 |
7,500,201 | 1 | 2 | 1. A data input method comprising: executing a script that is a list of commands that are embedded in the Hypertext Markup Language code defining a web page and can be executed by or within the browser; generating and displaying on a web page a graphical data input field sensing user entry in the graphical data input field of a character sequence including at least one character; associating an ordered set of data containing at least two selection lists, each one of said at least two selection lists including at least two character strings; associating at least two character strings from said at least two selection lists wherein each character string of said at least two selection lists is separated by a delimiter from an adjacent character string of said at least two selection lists; searching sequentially and character-by-character each character string of one of said at least two selection lists according to each user-entered character for a character match; searching as needed sequentially and character-by-character each character string of each remaining list of said at least two selection lists according to each user entered character for a character match; matching each character sequence with each character string of said at least two selection lists; sensing an acceptance action by the user, reflecting the current user selected choice. | 1. A data input method comprising: executing a script that is a list of commands that are embedded in the Hypertext Markup Language code defining a web page and can be executed by or within the browser; generating and displaying on a web page a graphical data input field sensing user entry in the graphical data input field of a character sequence including at least one character; associating an ordered set of data containing at least two selection lists, each one of said at least two selection lists including at least two character strings; associating at least two character strings from said at least two selection lists wherein each character string of said at least two selection lists is separated by a delimiter from an adjacent character string of said at least two selection lists; searching sequentially and character-by-character each character string of one of said at least two selection lists according to each user-entered character for a character match; searching as needed sequentially and character-by-character each character string of each remaining list of said at least two selection lists according to each user entered character for a character match; matching each character sequence with each character string of said at least two selection lists; sensing an acceptance action by the user, reflecting the current user selected choice. 2. A data input method as in claim 1 identifying at least one matching choice for the user by highlighting the choice. | 0.906793 |
8,635,254 | 10 | 12 | 10. A non-transitory machine-readable medium that stores executable instructions for use in maintaining states of instances of a Web browser on a device, the instructions for causing a server, which is in communication with, and remote from, the device to: receive, from the device, a request for a first Web page, the request comprising a first URL-encoded session identifier (ID) associated with a first instance of the Web browser; store, in the server, a first session object associated with the first URL-encoded session ID, the first session object containing data defining a state of the first instance of the Web browser, wherein the first instance of the Web browser comprises a first Web browser window; generate, in the server, the first Web page using the data in the first session object; receive, from the device, a request for a second Web page, the request comprising a second URL-encoded session identifier (ID) associated with a second instance of the Web browser, wherein the second instance of the Web browser comprises a second Web browser window; store, in the server, a second session object associated with the second URL-encoded session ID, the second session object containing data defining a state of the second instance of the Web browser; generate, in the server, the second Web page using the data in the second session object; output, from the server to the device, the first Web page and the second Web page; and maintain, via the first session object, a state of the first Web page such that the state of the first Web page is not affected when a state of the second Web page is changed in response to submission of information in the second Web page to the server, thereby preserving the state of the first instance of the Web browser; or maintain, via the second session object, the state of the second Web page such that the state of the second Web page is not affected when the of the first Web page is changed in response to submission of information in the first Web page to the server, thereby preserving the state of the second instance of the Web browser. | 10. A non-transitory machine-readable medium that stores executable instructions for use in maintaining states of instances of a Web browser on a device, the instructions for causing a server, which is in communication with, and remote from, the device to: receive, from the device, a request for a first Web page, the request comprising a first URL-encoded session identifier (ID) associated with a first instance of the Web browser; store, in the server, a first session object associated with the first URL-encoded session ID, the first session object containing data defining a state of the first instance of the Web browser, wherein the first instance of the Web browser comprises a first Web browser window; generate, in the server, the first Web page using the data in the first session object; receive, from the device, a request for a second Web page, the request comprising a second URL-encoded session identifier (ID) associated with a second instance of the Web browser, wherein the second instance of the Web browser comprises a second Web browser window; store, in the server, a second session object associated with the second URL-encoded session ID, the second session object containing data defining a state of the second instance of the Web browser; generate, in the server, the second Web page using the data in the second session object; output, from the server to the device, the first Web page and the second Web page; and maintain, via the first session object, a state of the first Web page such that the state of the first Web page is not affected when a state of the second Web page is changed in response to submission of information in the second Web page to the server, thereby preserving the state of the first instance of the Web browser; or maintain, via the second session object, the state of the second Web page such that the state of the second Web page is not affected when the of the first Web page is changed in response to submission of information in the first Web page to the server, thereby preserving the state of the second instance of the Web browser. 12. The non-transitory machine-readable medium of claim 10 , wherein the first session object and the second session object are stored in association with a HyperText Transfer Protocol (HTTP) session object, the HTTP session object containing state data that relates to an interaction between the Web browser and a Web site that contains the first Web page and the second Web page. | 0.762469 |
8,156,414 | 2 | 3 | 2. The method of claim 1 wherein a candidate character value is added to the set of candidate character values by: responsive to the location of the message string being contained within the first set of character positions and the location of the message string being contained within the second set of character positions, adding a character value at the location within the first string to the set of candidate character values and associating the first similarity value weight with the character value. | 2. The method of claim 1 wherein a candidate character value is added to the set of candidate character values by: responsive to the location of the message string being contained within the first set of character positions and the location of the message string being contained within the second set of character positions, adding a character value at the location within the first string to the set of candidate character values and associating the first similarity value weight with the character value. 3. The method of claim 2 wherein an exclusion character value is added to the set of exclusion character values by: responsive to the location of the message string being contained within the first set of character positions and the location of the message string not being contained within the second set of character positions, adding a character value at the location within the first string to the set of exclusion character values and associating a similarity value weight with the character value; and responsive to the location of the message string not being contained within the first set of character positions and the location of the message string being contained within the second set of character positions, adding a character value at the location within the second string to the set of exclusion character values and associating a similarity value weight with the character value. | 0.841191 |
8,428,971 | 12 | 13 | 12. A system for analyzing a client's insurance coverage, the insurance coverage represented in a plurality of insurance policies related to a primary insured, the system comprising: an input device for gathering the plurality of insurance policies; an extraction device for extracting key insurance coverage data from each of the gathered insurance policies; a first computing device for compiling detailed policy coverage documents from the compiled insurance coverage data; a second computing device for summarizing the compiled insurance coverage data and generating a summary document from the summarized data; and a third computing device for generating a summary graphic from the summarized data, wherein the summary graphic comprises a silhouette of a country in which the primary insured resides; a first zone within the country silhouette, the first zone including a list of national liabilities internal to the primary insured as determined from the compiled data; a second zone external to the first zone but within the country silhouette, the second zone including national liabilities external to the primary insured as determined from the compiled data; and a third zone outside the borders of the country silhouette, the third zone including international liabilities of the primary insured as determined from the compiled data. | 12. A system for analyzing a client's insurance coverage, the insurance coverage represented in a plurality of insurance policies related to a primary insured, the system comprising: an input device for gathering the plurality of insurance policies; an extraction device for extracting key insurance coverage data from each of the gathered insurance policies; a first computing device for compiling detailed policy coverage documents from the compiled insurance coverage data; a second computing device for summarizing the compiled insurance coverage data and generating a summary document from the summarized data; and a third computing device for generating a summary graphic from the summarized data, wherein the summary graphic comprises a silhouette of a country in which the primary insured resides; a first zone within the country silhouette, the first zone including a list of national liabilities internal to the primary insured as determined from the compiled data; a second zone external to the first zone but within the country silhouette, the second zone including national liabilities external to the primary insured as determined from the compiled data; and a third zone outside the borders of the country silhouette, the third zone including international liabilities of the primary insured as determined from the compiled data. 13. The system of claim 12 wherein the extraction device is a spreadsheet program and the coverage data is manually entered. | 0.832884 |
9,569,551 | 1 | 2 | 1. A method of dynamically modeling geospatial words, comprising: receiving GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates, the GPS annotated text data comprising live text stream harvested from social media; generating a word set based on frequencies of words occurring in the GPS annotated text data; partitioning locations by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations; segmenting a text stream contained in the GPS annotated text data into time windows; generating footprints of locations in time windows; determining localness of words based on the footprints, the localness of words incrementally updated over time; and dynamically integrating in geotagging by extracting words in a text message and determining scores associated with the set of discrete non-overlapped locations. | 1. A method of dynamically modeling geospatial words, comprising: receiving GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates, the GPS annotated text data comprising live text stream harvested from social media; generating a word set based on frequencies of words occurring in the GPS annotated text data; partitioning locations by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations; segmenting a text stream contained in the GPS annotated text data into time windows; generating footprints of locations in time windows; determining localness of words based on the footprints, the localness of words incrementally updated over time; and dynamically integrating in geotagging by extracting words in a text message and determining scores associated with the set of discrete non-overlapped locations. 2. The method of claim 1 , further comprising: sampling a fixed number of the time windows in the segmenting and the generating steps. | 0.919664 |
9,665,648 | 1 | 6 | 1. A method comprising: providing, on a user interface associated with an apparatus, a presentation of a menu of one or more topics from among a predetermined hierarchy of topics and subtopics to a user; receiving, via the user interface by the apparatus, a first input from the user specifying at least one of the one or more topics from among the predetermined hierarchy of topics and subtopics; retrieving, by the apparatus, one or more documents associated with the user; extracting, by the apparatus, noun tokens from the documents based, at least in part, on the specified topics; performing, by the apparatus, histogram processing of the extracted noun tokens to provide a list of pertinent tokens; comparing, by the apparatus, topic input information received from the user with the list of pertinent tokens to determine if there is a corresponding match; generating, by the apparatus, a topology of the matching tokens according to a probabilistic model, wherein the topology matches the matching pertinent tokens with the topics and subtopics of the hierarchy; providing, on the user interface by the apparatus, a presentation of top-level topics as topic icons on a tool bar on the user interface based, at least in part, on the topology of matching tokens; and in response to a second input from the user specifying one of the topic icons, providing, on the user interface by the apparatus, a presentation of one or more search results customized for the user using machine learning based on the topology. | 1. A method comprising: providing, on a user interface associated with an apparatus, a presentation of a menu of one or more topics from among a predetermined hierarchy of topics and subtopics to a user; receiving, via the user interface by the apparatus, a first input from the user specifying at least one of the one or more topics from among the predetermined hierarchy of topics and subtopics; retrieving, by the apparatus, one or more documents associated with the user; extracting, by the apparatus, noun tokens from the documents based, at least in part, on the specified topics; performing, by the apparatus, histogram processing of the extracted noun tokens to provide a list of pertinent tokens; comparing, by the apparatus, topic input information received from the user with the list of pertinent tokens to determine if there is a corresponding match; generating, by the apparatus, a topology of the matching tokens according to a probabilistic model, wherein the topology matches the matching pertinent tokens with the topics and subtopics of the hierarchy; providing, on the user interface by the apparatus, a presentation of top-level topics as topic icons on a tool bar on the user interface based, at least in part, on the topology of matching tokens; and in response to a second input from the user specifying one of the topic icons, providing, on the user interface by the apparatus, a presentation of one or more search results customized for the user using machine learning based on the topology. 6. A method of claim 1 , wherein the topics and subtopics comprise user characteristics, interests, preferences, or a combination thereof, the method further comprising: causing, at least in part, assignment of the topology to a user profile associated with an application, a service, or combination thereof. | 0.798693 |
7,624,356 | 19 | 23 | 19. A method of exposing commands in a document-centric application program executed by a computer, the method comprising: automatically displaying, by the computer, a window on a display device, the window generated by the document-centric application program, the window containing a work area and a controls area, the work area containing a document, the controls area not initially containing a context block; storing, by the computer, Hyper-Text Markup Language (HTML) code that specifies a title of the context block and a set of commands of the context block, the set of commands executable by the document-centric application program, the title identifying a task, the set of commands useful to a user in accomplishing the task; storing a tree data structure at the computer, the tree data structure comprising an overall set of nodes, each node in the overall set of nodes being an independent data structure, the overall set of nodes including a root node and a set of child nodes, each node in the set of child nodes being a child of one other node in the overall set of nodes, the overall set of nodes comprising a set of leaf nodes and a set of non-leaf nodes, no node in the overall set of nodes being a child of any node in the set of leaf nodes, each node in the set of non-leaf nodes having at least one child node in the overall set of nodes, the root node not being a child of any node in the overall set of nodes, each node in the overall set of nodes associated with a value, each node in the overall set of nodes associated with a Boolean expression, the Boolean expression associated with each node in the set of non-leaf nodes taking as operands the values associated with each child node of the node, the set of leaf nodes including a first leaf node; automatically ascertaining, at the computer, whether a change has occurred to selected text portions of the document, the selected text portions of the document being portions of the document selected by the user using a cursor the cursor being controlled by a user, where the document is a document the user is working in; in response to ascertaining that the change has occurred to the selected text portions of the document, making, at the computer, a change to the value associated with the first leaf node; in response to a change to the value associated with any non-root node, using, at the computer, a Boolean expression associated with a parent node to make a determination whether to change a value associated with the parent node, the Boolean expression associated with the parent node taking as operands the values associated with each child node of the parent node, the non-root node being in the set of child nodes, the parent node being a parent of the non-root node; in response to making a determination to change the value associated with the parent node, changing, at the computer, the value associated with the parent node; in response to determining that the value associated with the root node has changed from a first value to a second value, automatically causing, at the computer, the controls areas to contain the context block, the context block containing the title of the context block and the set of commands of the context block, the context block not obscuring the document; in response to determining that the value associated with the root node has changed from the second value to the first value, automatically causing, at the computer, the controls area not to contain the context block; and while the controls area contains the context block, enabling, with the computer, the user to select and apply various commands in the set of commands of the context block to the document multiple times. | 19. A method of exposing commands in a document-centric application program executed by a computer, the method comprising: automatically displaying, by the computer, a window on a display device, the window generated by the document-centric application program, the window containing a work area and a controls area, the work area containing a document, the controls area not initially containing a context block; storing, by the computer, Hyper-Text Markup Language (HTML) code that specifies a title of the context block and a set of commands of the context block, the set of commands executable by the document-centric application program, the title identifying a task, the set of commands useful to a user in accomplishing the task; storing a tree data structure at the computer, the tree data structure comprising an overall set of nodes, each node in the overall set of nodes being an independent data structure, the overall set of nodes including a root node and a set of child nodes, each node in the set of child nodes being a child of one other node in the overall set of nodes, the overall set of nodes comprising a set of leaf nodes and a set of non-leaf nodes, no node in the overall set of nodes being a child of any node in the set of leaf nodes, each node in the set of non-leaf nodes having at least one child node in the overall set of nodes, the root node not being a child of any node in the overall set of nodes, each node in the overall set of nodes associated with a value, each node in the overall set of nodes associated with a Boolean expression, the Boolean expression associated with each node in the set of non-leaf nodes taking as operands the values associated with each child node of the node, the set of leaf nodes including a first leaf node; automatically ascertaining, at the computer, whether a change has occurred to selected text portions of the document, the selected text portions of the document being portions of the document selected by the user using a cursor the cursor being controlled by a user, where the document is a document the user is working in; in response to ascertaining that the change has occurred to the selected text portions of the document, making, at the computer, a change to the value associated with the first leaf node; in response to a change to the value associated with any non-root node, using, at the computer, a Boolean expression associated with a parent node to make a determination whether to change a value associated with the parent node, the Boolean expression associated with the parent node taking as operands the values associated with each child node of the parent node, the non-root node being in the set of child nodes, the parent node being a parent of the non-root node; in response to making a determination to change the value associated with the parent node, changing, at the computer, the value associated with the parent node; in response to determining that the value associated with the root node has changed from a first value to a second value, automatically causing, at the computer, the controls areas to contain the context block, the context block containing the title of the context block and the set of commands of the context block, the context block not obscuring the document; in response to determining that the value associated with the root node has changed from the second value to the first value, automatically causing, at the computer, the controls area not to contain the context block; and while the controls area contains the context block, enabling, with the computer, the user to select and apply various commands in the set of commands of the context block to the document multiple times. 23. The method of claim 19 , wherein automatically causing the controls area to contain the context block comprises displaying, by the computer, the context block within a context pane, the context pane having a title bar and a controls area, the title bar of the context pane labeling the context pane, the controls area of the context pane including the set of commands. | 0.78169 |
8,538,842 | 1 | 2 | 1. A method comprising the steps of: receiving, over a network, a brand name, wherein the brand name comprises at least one token; generating, using at least one computing device, a plurality of domain names, wherein the plurality of domain names comprises at least one brand domain name comprising the brand name and a top level domain name, and wherein the plurality of domain names further comprises at least one qualified brand domain name comprising the brand name, at least one qualifying term, and the top level domain name; creating, using the at least one computing device, a domain name portfolio, wherein each of the plurality of domain names is checked using the WHOIS protocol to determine if the respective domain name is registered, wherein domain names that are not registered and domain names that are registered to an owner of the brand are inserted into the domain name portfolio; registering, using the at least one computing device, each of the domain names in the domain name portfolio that is not registered to the brand owner, whereby each of the domain names in the domain name portfolio is registered to the brand owner; parking, using the at least one computing device, each of the domain names in the domain name portfolio with a domain name parking service; tracking, using the at least one computing device, network traffic, for each of the domain names in the domain name portfolio over an analysis period; and determining, using the at least one computing device, a first role of brand index, wherein the role of brand index is determined using the ratio of network traffic for the at least one brand domain name to a total of the network traffic for all domain names in the domain name portfolio. | 1. A method comprising the steps of: receiving, over a network, a brand name, wherein the brand name comprises at least one token; generating, using at least one computing device, a plurality of domain names, wherein the plurality of domain names comprises at least one brand domain name comprising the brand name and a top level domain name, and wherein the plurality of domain names further comprises at least one qualified brand domain name comprising the brand name, at least one qualifying term, and the top level domain name; creating, using the at least one computing device, a domain name portfolio, wherein each of the plurality of domain names is checked using the WHOIS protocol to determine if the respective domain name is registered, wherein domain names that are not registered and domain names that are registered to an owner of the brand are inserted into the domain name portfolio; registering, using the at least one computing device, each of the domain names in the domain name portfolio that is not registered to the brand owner, whereby each of the domain names in the domain name portfolio is registered to the brand owner; parking, using the at least one computing device, each of the domain names in the domain name portfolio with a domain name parking service; tracking, using the at least one computing device, network traffic, for each of the domain names in the domain name portfolio over an analysis period; and determining, using the at least one computing device, a first role of brand index, wherein the role of brand index is determined using the ratio of network traffic for the at least one brand domain name to a total of the network traffic for all domain names in the domain name portfolio. 2. The method of claim 1 comprising the additional steps of: tracking, using the at least one computing device, revenue generated by websites linked to each of the domain names in the domain name portfolio over the analysis period; and calculating, using the at least one computing device, brand earnings using the revenue generated by websites linked to each of the domain names in the domain name portfolio over the analysis period. | 0.912288 |
8,700,630 | 4 | 5 | 4. The method of claim 1 , wherein resolving the conflict further includes, identifying a second content module to replace the particular content module posing the conflict in the topic page, the second content module received from any one of the plurality of sources including a source that provided the particular content module, the second content module matching the one or more of the plurality of dimensions of the query identified within the particular content module. | 4. The method of claim 1 , wherein resolving the conflict further includes, identifying a second content module to replace the particular content module posing the conflict in the topic page, the second content module received from any one of the plurality of sources including a source that provided the particular content module, the second content module matching the one or more of the plurality of dimensions of the query identified within the particular content module. 5. The method of claim 4 , wherein resolving the conflict further includes, flagging the second content module so as to allow the second content module to render in the topic page. | 0.953632 |
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