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7,716,371 | 1 | 4 | 1. A computer implemented method comprising: receiving, via a server, from a first information handling system of a user, an excerpt of information associated with the user, wherein a first client computer comprises the first information handling system; in response to receiving the excerpt, automatically translating, via the server, the excerpt into an XML format to be compatible, without further translation, for operation with at least one second information handling system of the user; saving, via the server, the translated excerpt in a first personal folder associated with the user of the first information handling system, the translated excerpt including a user-specified item of music, a website, a search query, and a search result; synchronizing, via the server, the translated excerpt with the second information handling system, wherein a version of the translated excerpt is saved in a second personal folder associated with the user of the second information handling system and a third personal folder associated with the user of the server, wherein a second client computer comprises the second information handling system; and associating, via the server, a name, a source, and a comment with the translated excerpt. | 1. A computer implemented method comprising: receiving, via a server, from a first information handling system of a user, an excerpt of information associated with the user, wherein a first client computer comprises the first information handling system; in response to receiving the excerpt, automatically translating, via the server, the excerpt into an XML format to be compatible, without further translation, for operation with at least one second information handling system of the user; saving, via the server, the translated excerpt in a first personal folder associated with the user of the first information handling system, the translated excerpt including a user-specified item of music, a website, a search query, and a search result; synchronizing, via the server, the translated excerpt with the second information handling system, wherein a version of the translated excerpt is saved in a second personal folder associated with the user of the second information handling system and a third personal folder associated with the user of the server, wherein a second client computer comprises the second information handling system; and associating, via the server, a name, a source, and a comment with the translated excerpt. 4. The method of claim 1 , further comprising: saving the XML-formatted excerpt in a personal folder of the user. | 0.829819 |
9,092,516 | 10 | 11 | 10. A system comprising: at least one memory configured to store a plurality of tuples, each tuple in the plurality of tuples corresponding to an item in a plurality of items, and at least one data structure encoding a preference graph to represent user preferences, wherein the user preferences comprise a plurality of first-order user preferences indicative of a user's preferences among items in the plurality of items, and at least one second-order user preference indicative of the user's preferences among first-order user preferences in the plurality of first-order user preferences; wherein the at least one second-order user preference is indicative of the user's preference among attributes of at least one item in the plurality of items; and at least one processor coupled to the at least one memory, the at least one processor configured to: calculate a ranking of at least one item in the plurality of items based, at least in part on, the at least one data structure encoding the preference graph that represents the user preferences; and identify and output at least a subset of the plurality of items to a user, in accordance with the ranking. | 10. A system comprising: at least one memory configured to store a plurality of tuples, each tuple in the plurality of tuples corresponding to an item in a plurality of items, and at least one data structure encoding a preference graph to represent user preferences, wherein the user preferences comprise a plurality of first-order user preferences indicative of a user's preferences among items in the plurality of items, and at least one second-order user preference indicative of the user's preferences among first-order user preferences in the plurality of first-order user preferences; wherein the at least one second-order user preference is indicative of the user's preference among attributes of at least one item in the plurality of items; and at least one processor coupled to the at least one memory, the at least one processor configured to: calculate a ranking of at least one item in the plurality of items based, at least in part on, the at least one data structure encoding the preference graph that represents the user preferences; and identify and output at least a subset of the plurality of items to a user, in accordance with the ranking. 11. The system of claim 10 , wherein the at least one processor is configured to calculate the ranking at least by: applying a pagerank-based algorithm to the at least one data structure encoding the preference graph to calculate the ranking. | 0.814417 |
7,899,842 | 1 | 17 | 1. A method of identifying a complex string in a data stream, the method encoded into instructions stored in a processor-readable medium coupled to a processor, the method comprising: segmenting said complex string into a set of string segments and a suffix, each string segment comprising a prefix and a simple string, where said prefix includes indefinite characters and said suffix includes indefinite characters; ascertaining congruence of said prefix with a corresponding portion of said data stream; generating an array of bitmasks, each bitmask associated with a string segment in said set of string segments, said bitmask indicating a location index of an end character of said each string segment; associating a Boolean state variable with said complex string; locating a current simple-matchinq position in said data stream at which at least one simple string belonging to said complex string terminates; initializing a current mask as an opaque mask; performing a logical OR operation of said current mask with selected bitmasks corresponding to said at least one simple string to produce a composite current mask; determining a gap between said current simple-matching position and a previous simple-matchinq position; left-shiftinq each entry of said Boolean state variable by said gap, replacing each shifted entry by logical “0” and setting the rightmost entry to logical “1”; and updating said Boolean state variable according to a logical AND operation with said composite current mask. | 1. A method of identifying a complex string in a data stream, the method encoded into instructions stored in a processor-readable medium coupled to a processor, the method comprising: segmenting said complex string into a set of string segments and a suffix, each string segment comprising a prefix and a simple string, where said prefix includes indefinite characters and said suffix includes indefinite characters; ascertaining congruence of said prefix with a corresponding portion of said data stream; generating an array of bitmasks, each bitmask associated with a string segment in said set of string segments, said bitmask indicating a location index of an end character of said each string segment; associating a Boolean state variable with said complex string; locating a current simple-matchinq position in said data stream at which at least one simple string belonging to said complex string terminates; initializing a current mask as an opaque mask; performing a logical OR operation of said current mask with selected bitmasks corresponding to said at least one simple string to produce a composite current mask; determining a gap between said current simple-matching position and a previous simple-matchinq position; left-shiftinq each entry of said Boolean state variable by said gap, replacing each shifted entry by logical “0” and setting the rightmost entry to logical “1”; and updating said Boolean state variable according to a logical AND operation with said composite current mask. 17. The method of claim 1 , further comprising producing a set of descriptors of said string segment; wherein the detecting further comprises detecting the presence of said complex string using said descriptors. | 0.832273 |
8,358,225 | 3 | 4 | 3. The method according to claim 1 , further comprising detecting an operative language of the handheld electronic device, wherein determining whether to output the non-diacritical character or the diacritical character is at least in part based on the detected operative language. | 3. The method according to claim 1 , further comprising detecting an operative language of the handheld electronic device, wherein determining whether to output the non-diacritical character or the diacritical character is at least in part based on the detected operative language. 4. The method according to claim 3 , further comprising determining that the operative language is French. | 0.5 |
8,055,597 | 15 | 16 | 15. The computer program product claim 14 , wherein the computer usable medium has computer readable code embodied therein for causing a computer to effect decomposing each data subset by performing a clustering process with respect to the data subset. | 15. The computer program product claim 14 , wherein the computer usable medium has computer readable code embodied therein for causing a computer to effect decomposing each data subset by performing a clustering process with respect to the data subset. 16. The computer program product claim 15 , wherein the computer usable medium has computer readable code embodied therein for causing a computer to effect performing a clustering process by performing a hierarchical clustering process with respect to the data subset. | 0.5 |
7,562,011 | 2 | 7 | 2. A method according to claim 1 , wherein associating an action includes assigning a threshold distance to the action so that the action will be performed if the content stream is within the threshold distance of the template. | 2. A method according to claim 1 , wherein associating an action includes assigning a threshold distance to the action so that the action will be performed if the content stream is within the threshold distance of the template. 7. A method according to claim 2 , wherein assigning a threshold distance to the action includes assigning a threshold distance to the action of refining a query by a user so that the action will be performed if the content stream is within the threshold distance of the template. | 0.60452 |
9,043,403 | 13 | 20 | 13. A method for providing annotations associated with emails to a recipient and allowing the recipient to interact with email annotations, the method comprising: receiving email; parsing the email content to determine whether a received email has an associated annotation; responsive to determining that a received email has an associated annotation, storing the email and associated annotation in persistent storage; receiving a request to access email for a specific recipient; selecting visual representations, based on the parsed email content, for the emails having associated annotations; and displaying an email listing including at least one received email having an associated annotation, where the visual representation for the at least one received email is interactive, allowing a user to communicate a response using the visual representation, and the received email is displayed with its associated visual representation in-line with other email information on the email listing. | 13. A method for providing annotations associated with emails to a recipient and allowing the recipient to interact with email annotations, the method comprising: receiving email; parsing the email content to determine whether a received email has an associated annotation; responsive to determining that a received email has an associated annotation, storing the email and associated annotation in persistent storage; receiving a request to access email for a specific recipient; selecting visual representations, based on the parsed email content, for the emails having associated annotations; and displaying an email listing including at least one received email having an associated annotation, where the visual representation for the at least one received email is interactive, allowing a user to communicate a response using the visual representation, and the received email is displayed with its associated visual representation in-line with other email information on the email listing. 20. The method of claim 13 , further comprising determining whether a received email is associated with an annotation by parsing email text. | 0.583333 |
7,788,594 | 9 | 10 | 9. A method as in claim 8 wherein the first input causes one of the first identifier or the second identifier to have a modified presentation after the first input. | 9. A method as in claim 8 wherein the first input causes one of the first identifier or the second identifier to have a modified presentation after the first input. 10. A method as in claim 9 wherein the modified presentation is a highlighting. | 0.5 |
6,113,540 | 1 | 4 | 1. A medical diagnostic and treatment advice system for providing information to a patient, comprising: (a) a computer; (b) an input device, connected to the computer, to receive information from the patient; (c) an output device, connected to the computer, to provide information to the patient; and (d) a plurality of medical complaint algorithms selectively executed based on at least a portion of the received information, wherein any one of the medical complaint algorithms scores at least a portion of the received information and diagnoses a medical condition associated with the executed medical complaint algorithm if the score exceeds a threshold, wherein the diagnosed medical condition is communicated to the patient. | 1. A medical diagnostic and treatment advice system for providing information to a patient, comprising: (a) a computer; (b) an input device, connected to the computer, to receive information from the patient; (c) an output device, connected to the computer, to provide information to the patient; and (d) a plurality of medical complaint algorithms selectively executed based on at least a portion of the received information, wherein any one of the medical complaint algorithms scores at least a portion of the received information and diagnoses a medical condition associated with the executed medical complaint algorithm if the score exceeds a threshold, wherein the diagnosed medical condition is communicated to the patient. 4. The medical advice system defined in claim 1, wherein the medical complaint algorithm for headache includes the following medical conditions: migraine, meningitis, brain tumor and subarachnoid hemorrhage. | 0.799029 |
9,002,699 | 9 | 10 | 9. A computing device for switching an input language of the computing device, the computing device comprising: a display; a memory; and a processing unit; wherein the computing device is configured for performing operations comprising: receiving an indication of a first language of text content displayed by the computing device, wherein a current input language of the computing device is set to a second language that is different from the first language; receiving an indication of a selection of a text input area displayed by the computing device; upon receiving the selection of the text input area, automatically switching the current input language of the computing device from the second language to the first language; wherein text received in the text input area after the automatically switching to the first language is received in the first language; receiving an indication that the text input area is no longer selected; and in response to the indication that the text input area is no longer selected, automatically switching the current input language back from the first language to the second language. | 9. A computing device for switching an input language of the computing device, the computing device comprising: a display; a memory; and a processing unit; wherein the computing device is configured for performing operations comprising: receiving an indication of a first language of text content displayed by the computing device, wherein a current input language of the computing device is set to a second language that is different from the first language; receiving an indication of a selection of a text input area displayed by the computing device; upon receiving the selection of the text input area, automatically switching the current input language of the computing device from the second language to the first language; wherein text received in the text input area after the automatically switching to the first language is received in the first language; receiving an indication that the text input area is no longer selected; and in response to the indication that the text input area is no longer selected, automatically switching the current input language back from the first language to the second language. 10. The computing device of claim 9 wherein the automatically switching the current input language of the computing device comprises changing a keyboard configuration and language setting of the computing device to correspond with the first language, and wherein, after the automatically switching, characters entered by a user of the computing device will use the keyboard configuration and language setting corresponding with the first language. | 0.5 |
6,067,514 | 26 | 28 | 26. The method of claim 19, wherein the step of training the n-gram language model further comprises the step of segmenting a corresponding text corpus into paragraphs to obtain the conditional probabilities for the punctuation marks. | 26. The method of claim 19, wherein the step of training the n-gram language model further comprises the step of segmenting a corresponding text corpus into paragraphs to obtain the conditional probabilities for the punctuation marks. 28. The method of claim 26, wherein the n-gram language model is one of a bigram language model and a trigram language model. | 0.5 |
8,423,424 | 1 | 5 | 1. A method programmed in a non-transitory memory of a device comprising: a. automatically accessing a web page; b. automatically analyzing web page content of the web page; c. automatically fact checking the web page content with the device by comparing the web page content with source information to determine the factual accuracy of the web page content, including computing a source result value based on source quantities and source ratings, wherein the source result value is used to determine a result of the fact checking, wherein fact checking includes a first fact check and a second fact check, wherein the first fact check and the second fact check each utilize a different set of fact checking criteria; and d. automatically indicating a status of the web page content in real-time based on the result of the comparison of the web page content with the source information. | 1. A method programmed in a non-transitory memory of a device comprising: a. automatically accessing a web page; b. automatically analyzing web page content of the web page; c. automatically fact checking the web page content with the device by comparing the web page content with source information to determine the factual accuracy of the web page content, including computing a source result value based on source quantities and source ratings, wherein the source result value is used to determine a result of the fact checking, wherein fact checking includes a first fact check and a second fact check, wherein the first fact check and the second fact check each utilize a different set of fact checking criteria; and d. automatically indicating a status of the web page content in real-time based on the result of the comparison of the web page content with the source information. 5. The method of claim 1 wherein the source information comprises a plurality of sources, and each source of the plurality of sources has a reliability rating based on the accuracy of information within each source of the plurality of sources, wherein the accuracy is determined based on previous fact checking results, wherein a first source with a first reliability rating is given more weight during fact checking than a second source with a second reliability rating lower than the first reliability rating, wherein each source of the plurality of sources with the reliability rating below a threshold is not used in fact checking. | 0.5 |
8,219,552 | 16 | 17 | 16. A method of searching and merging search results across heterogeneous indices, comprising: identifying a query from a user; splitting the query into sub-queries; calculating information content for each of the sub-queries, said information content representing information requirements of the user; executing each of the sub-queries by searching across heterogeneous indices, including structured, unstructured and semi-structured data sources, to obtain a multitude of search results; combining the search results based on the information content calculated for the sub-queries; wherein: the executing each of the sub-queries includes identifying a multitude of entities for at least one of the sub-queries, and executing each of the sub-queries in a respective one of a plurality of heterogeneous indices; said sub-queries include a first sub-query and a second sub-query; the executing each of the sub-queries includes executing the first sub-query to identify a plurality of first class entities, and executing the second sub-query to identify a multitude of second class entities, each of the second class entities being associated, according to a defined criteria, with a respective single first class entity; the combining includes clustering the second class entities into a plurality of clusters based on the first class entity to which each of the second class entities belongs, and assigning a relevance score to each of the clusters; the combining includes determining an importance value for each of the first class entities; and the assigning includes assigning a relevance score to each of the clusters based on the importance value of the first class entity with which the second class entities of said each cluster are associated. | 16. A method of searching and merging search results across heterogeneous indices, comprising: identifying a query from a user; splitting the query into sub-queries; calculating information content for each of the sub-queries, said information content representing information requirements of the user; executing each of the sub-queries by searching across heterogeneous indices, including structured, unstructured and semi-structured data sources, to obtain a multitude of search results; combining the search results based on the information content calculated for the sub-queries; wherein: the executing each of the sub-queries includes identifying a multitude of entities for at least one of the sub-queries, and executing each of the sub-queries in a respective one of a plurality of heterogeneous indices; said sub-queries include a first sub-query and a second sub-query; the executing each of the sub-queries includes executing the first sub-query to identify a plurality of first class entities, and executing the second sub-query to identify a multitude of second class entities, each of the second class entities being associated, according to a defined criteria, with a respective single first class entity; the combining includes clustering the second class entities into a plurality of clusters based on the first class entity to which each of the second class entities belongs, and assigning a relevance score to each of the clusters; the combining includes determining an importance value for each of the first class entities; and the assigning includes assigning a relevance score to each of the clusters based on the importance value of the first class entity with which the second class entities of said each cluster are associated. 17. The method according to claim 16 , wherein the data sources contain entities with a hierarchical structure, which has a plurality of hierarchical levels, and the combining includes merging the search results at the same hierarchical level. | 0.556569 |
9,588,960 | 10 | 12 | 10. The system of claim 9 , wherein the processor is further to: determine a first rating of the trained classification model using a first subset of the set of token attributes; identify a second subset of the set of token attributes, wherein the second subset comprises the first subset of token attributes and an additional token attribute; determine a second rating of the trained classification model using the second subset of token attributes; and select one of the first subset of token attributes or the second subset of token attributes based on the first rating and the second rating. | 10. The system of claim 9 , wherein the processor is further to: determine a first rating of the trained classification model using a first subset of the set of token attributes; identify a second subset of the set of token attributes, wherein the second subset comprises the first subset of token attributes and an additional token attribute; determine a second rating of the trained classification model using the second subset of token attributes; and select one of the first subset of token attributes or the second subset of token attributes based on the first rating and the second rating. 12. The system of claim 10 , wherein the first rating is based on at least one of: a precision score, a recall score, or an F-score. | 0.5 |
9,223,876 | 10 | 18 | 10. A system, comprising a server computer communicatively coupled to a network and configured to: receive one or more keywords topically relevant to a content of a web page within a website hosted on the server computer; receive from a search engine: a first metric comprising a quantity of times the one or more keywords have appeared in a search query along with one or more question keywords during a time period, the one or more question keywords being selected from the group consisting of who, what, when, where, why and how; and a second metric comprising a probability of receiving a high rank associated with the one or more keywords and the one or more question keywords, and a third metric comprising one or more questions most often asked in the search engine that include the one or more keywords and at least one of the question keywords; calculate from the first metric and the second metric, a keyword effectiveness index; generate one or more recommendations to include a high ranked suggested content on the web page, the high ranked suggested content identified according to the keyword effectiveness index and the third metric; transmit to a client computer communicatively coupled to the network, the one or more recommendations; assign a favorable recommendation to one or more request results comprising a keyword effectiveness index higher than a first predetermined number; associate a first visual indicator comprising a first color, interface element or graphic with the favorable recommendation; assign a non-favorable recommendation to the one or more request results comprising a keyword effectiveness index lower than a second predetermined number; associate a second visual indicator comprising a color, interface element or graphic with the non-favorable recommendation; assign an ideal or neutral recommendation to the one or more request results comprising a keyword effectiveness index between the first predetermined number and the second predetermined number; associate a third visual indicator comprising a color, interface element or graphic with the ideal or neutral recommendation; and transmit at least one of the first visual indicator, the second visual indicator, and the third visual indicator to the client computer to be displayed in association with the first metric and the second metric. | 10. A system, comprising a server computer communicatively coupled to a network and configured to: receive one or more keywords topically relevant to a content of a web page within a website hosted on the server computer; receive from a search engine: a first metric comprising a quantity of times the one or more keywords have appeared in a search query along with one or more question keywords during a time period, the one or more question keywords being selected from the group consisting of who, what, when, where, why and how; and a second metric comprising a probability of receiving a high rank associated with the one or more keywords and the one or more question keywords, and a third metric comprising one or more questions most often asked in the search engine that include the one or more keywords and at least one of the question keywords; calculate from the first metric and the second metric, a keyword effectiveness index; generate one or more recommendations to include a high ranked suggested content on the web page, the high ranked suggested content identified according to the keyword effectiveness index and the third metric; transmit to a client computer communicatively coupled to the network, the one or more recommendations; assign a favorable recommendation to one or more request results comprising a keyword effectiveness index higher than a first predetermined number; associate a first visual indicator comprising a first color, interface element or graphic with the favorable recommendation; assign a non-favorable recommendation to the one or more request results comprising a keyword effectiveness index lower than a second predetermined number; associate a second visual indicator comprising a color, interface element or graphic with the non-favorable recommendation; assign an ideal or neutral recommendation to the one or more request results comprising a keyword effectiveness index between the first predetermined number and the second predetermined number; associate a third visual indicator comprising a color, interface element or graphic with the ideal or neutral recommendation; and transmit at least one of the first visual indicator, the second visual indicator, and the third visual indicator to the client computer to be displayed in association with the first metric and the second metric. 18. The system of claim 10 , wherein the server computer is further configured to: receive a request to analyze the content of a selected web page; perform a page level analysis of the content of the selected web page; identify, on the web page, one or more stored keywords for optimizing the selected web page; generate a stored keyword count and density list of each of the one or more stored keywords; and generate a keyword grouping count and density list comprising a quantity of one or more groupings and a percentage of the one or more groupings as compared to total keywords in the content of the selected web page. | 0.609649 |
7,953,254 | 3 | 4 | 3. The method of claim 1 , wherein the acquiring the user image comprises receiving at least two user images from an image input unit while the content is reproduced. | 3. The method of claim 1 , wherein the acquiring the user image comprises receiving at least two user images from an image input unit while the content is reproduced. 4. The method of claim 3 , wherein the generating the emotional information comprises generating representative emotional information representing emotional information generated from the at least two user images. | 0.5 |
8,510,298 | 42 | 44 | 42. The computer program product of claim 41 , wherein the computer readable program code further performs the step of computing the one or more values, for one or more instances of the brand, in the brand-store affinity matrix, based on normalized scores of one or more instances of the store. | 42. The computer program product of claim 41 , wherein the computer readable program code further performs the step of computing the one or more values, for one or more instances of the brand, in the brand-store affinity matrix, based on normalized scores of one or more instances of the store. 44. The computer program product of claim 42 , wherein the normalized scores of the one or more instances of the brand are calculated based on the one or more values corresponding to an attribute instance of the brand. | 0.643791 |
9,483,741 | 11 | 12 | 11. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising: receiving a product record associated with a product, the product record comprising a description of the product; classifying the product based on the product record using a plurality of rule-based classifiers to generate a first ranked list of product types, including applying a whitelist rule and a blacklist rule to the product record to obtain the first ranked list of product types, wherein the whitelist rule defines that the product belongs to a first product type and the blacklist rule defines that the product does not belong to a second product type different from the first product type; classifying the product based on the product record using a plurality of attribute-based classifiers to generate a second ranked list of product types; combining the first ranked list of product types and the second ranked list of product types to generate a combined ranked list of product types; providing at least a portion of the combined ranked list of product types to a crowdsourcing computer network for evaluation; and returning, from the crowdsourcing computer network, a validation decision, wherein: when the crowdsourcing computer network determines that a type of the product is correct, the validation decision indicates that the type of the product is correct; when the crowdsourcinq computer network determines that the type of the product is not correct, the validation decision indicates that the type of the product is not correct; and when the crowdsourcing computer network determines that the description of the product is insufficient to accurately judge whether the type of the product is correct, the validation decision indicates that the type of the product is unclear. | 11. One or more non-transitory computer-readable media storing computer-executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising: receiving a product record associated with a product, the product record comprising a description of the product; classifying the product based on the product record using a plurality of rule-based classifiers to generate a first ranked list of product types, including applying a whitelist rule and a blacklist rule to the product record to obtain the first ranked list of product types, wherein the whitelist rule defines that the product belongs to a first product type and the blacklist rule defines that the product does not belong to a second product type different from the first product type; classifying the product based on the product record using a plurality of attribute-based classifiers to generate a second ranked list of product types; combining the first ranked list of product types and the second ranked list of product types to generate a combined ranked list of product types; providing at least a portion of the combined ranked list of product types to a crowdsourcing computer network for evaluation; and returning, from the crowdsourcing computer network, a validation decision, wherein: when the crowdsourcing computer network determines that a type of the product is correct, the validation decision indicates that the type of the product is correct; when the crowdsourcinq computer network determines that the type of the product is not correct, the validation decision indicates that the type of the product is not correct; and when the crowdsourcing computer network determines that the description of the product is insufficient to accurately judge whether the type of the product is correct, the validation decision indicates that the type of the product is unclear. 12. The one or more non-transitory computer-readable media of claim 11 , wherein the classifying of the product based on the product record using a plurality of rule-based classifiers to generate the first ranked list of product types comprises: applying an attribute value-based classification rule. | 0.744898 |
9,544,254 | 1 | 2 | 1. A system, comprising: a one or more computing servers; a one or more network interfaces; non-transitory computer readable memory storing program code that when executed by the one or more computing servers is configured to cause the system to at least: provide a software program for download to a first computing device associated with a user; receive a verified phone address associated with the user, wherein the verification of the phone address comprises verification that a received set of digits is a valid phone address; based at least in part on the receipt of the verified phone address, create a user account wherein the verified phone address is associated with the user account; enable delivery of a voice message directed to the user to the first computing device associated with the user, wherein the delivered voice message is playable to the user via a user interface of the software program; enable the user to play the voice message via a web browser of a second computing device associated with the user; and in response to a voice message deletion instruction received via the web browser of the second computing device associated with the user, enable at least in part, synchronization of the deletion of the voice message stored on the first computing device associated with the user in cooperation with the software program on the first computing device associated with of the user. | 1. A system, comprising: a one or more computing servers; a one or more network interfaces; non-transitory computer readable memory storing program code that when executed by the one or more computing servers is configured to cause the system to at least: provide a software program for download to a first computing device associated with a user; receive a verified phone address associated with the user, wherein the verification of the phone address comprises verification that a received set of digits is a valid phone address; based at least in part on the receipt of the verified phone address, create a user account wherein the verified phone address is associated with the user account; enable delivery of a voice message directed to the user to the first computing device associated with the user, wherein the delivered voice message is playable to the user via a user interface of the software program; enable the user to play the voice message via a web browser of a second computing device associated with the user; and in response to a voice message deletion instruction received via the web browser of the second computing device associated with the user, enable at least in part, synchronization of the deletion of the voice message stored on the first computing device associated with the user in cooperation with the software program on the first computing device associated with of the user. 2. The system as defined in claim 1 , the system is further configured to: enable the user to send a textual reply message to an originator of the voice message without entering an address of the originator of the voice message via the web browser of the second computing device associated with the user. | 0.569405 |
9,116,921 | 9 | 10 | 9. The system of claim 8 , wherein the one or more processors are programmed to perform operations further comprising: determining that user interaction with one of the identified canonical images; and in response to the determination, increasing a presentation size of images that are included in a same hierarchical grouping as the one of the canonical images. | 9. The system of claim 8 , wherein the one or more processors are programmed to perform operations further comprising: determining that user interaction with one of the identified canonical images; and in response to the determination, increasing a presentation size of images that are included in a same hierarchical grouping as the one of the canonical images. 10. The system of claim 9 , wherein the one or more processors are programmed to perform operations further comprising: in response to the determination, decreasing a presentation size of images that are included in the same hierarchical grouping as the one of the canonical images. | 0.614754 |
8,219,552 | 13 | 14 | 13. An article of manufacture comprising: at least one computer usable device having computer readable program code logic tangibly embodied therein to execute instructions in one or more processing units for merging search results, said computer readable program code logic, when executing in the one or more processing units, performing the following: identifying a query from a user; splitting the query into sub-queries; calculating information content for each of the sub-queries, said information content representing information requirements of the user; executing each of the sub-queries to obtain a plurality of search results; and combining the search results based on the information content calculated for the sub-queries: wherein: the executing each of the sub-queries includes identifying a multitude of entities for at least one of the sub-queries, and executing each of the sub-queries in a respective one of a plurality of heterogeneous indices; said sub-queries include a first sub-query and a second sub-query; the executing each of the sub-queries includes executing the first sub-query to identify a plurality of first class entities, and executing the second sub-query to identify a multitude of second class entities, each of the second class entities being associated, according to a defined criteria, with a respective single first class entity; the combining includes clustering the second class entities into a plurality of clusters based on the first class entity to which each of the second class entities belongs, and assigning a relevance score to each of the clusters; the combining includes determining an importance value for each of the first class entities; and the assigning includes assigning a relevance score to each of the clusters based on the importance value of the first class entity with which the second class entities of said each cluster are associated. | 13. An article of manufacture comprising: at least one computer usable device having computer readable program code logic tangibly embodied therein to execute instructions in one or more processing units for merging search results, said computer readable program code logic, when executing in the one or more processing units, performing the following: identifying a query from a user; splitting the query into sub-queries; calculating information content for each of the sub-queries, said information content representing information requirements of the user; executing each of the sub-queries to obtain a plurality of search results; and combining the search results based on the information content calculated for the sub-queries: wherein: the executing each of the sub-queries includes identifying a multitude of entities for at least one of the sub-queries, and executing each of the sub-queries in a respective one of a plurality of heterogeneous indices; said sub-queries include a first sub-query and a second sub-query; the executing each of the sub-queries includes executing the first sub-query to identify a plurality of first class entities, and executing the second sub-query to identify a multitude of second class entities, each of the second class entities being associated, according to a defined criteria, with a respective single first class entity; the combining includes clustering the second class entities into a plurality of clusters based on the first class entity to which each of the second class entities belongs, and assigning a relevance score to each of the clusters; the combining includes determining an importance value for each of the first class entities; and the assigning includes assigning a relevance score to each of the clusters based on the importance value of the first class entity with which the second class entities of said each cluster are associated. 14. The article of manufacture according to claim 13 , wherein: the combining includes merging the clusters based on the relevance scores computed for the clusters. | 0.5 |
8,517,742 | 6 | 7 | 6. The system of claim 5 , wherein the at least one examination question is based on an experience timeframe threshold. | 6. The system of claim 5 , wherein the at least one examination question is based on an experience timeframe threshold. 7. The system of claim 6 , wherein the at least one examination question is created by a user. | 0.5 |
8,027,815 | 5 | 18 | 5. A method for detecting clusters in space and time using input data on occurrences of a disease in a population and characteristics of the population at a plurality of geographic locations and times comprising: determining expected occurrences of the disease at a plurality of geographic locations and a plurality of times; determining actual occurrences of the disease at a plurality of geographic locations and a plurality of times; searching the expected occurrences and the actual occurrences for a plurality of candidate solutions, wherein each solution is represented as a set of points in a three-dimensional space, and wherein each point corresponds to a geographic location at a time; determining at least one solution corresponding to a selected convex container shape from the plurality of candidate solutions, wherein the convex container module determines a solution that maximizes a measure representing the equality between the set of points in the given candidate solution and the set of points included in the solution, given the selected convex container shape; and determining a strength metric for each solution determined by the convex container module, the search module selecting a solution having a desirable strength, wherein the solution having the desirable strength indicates a dominant cluster in the input data corresponding to a detected cluster of the disease in the population. | 5. A method for detecting clusters in space and time using input data on occurrences of a disease in a population and characteristics of the population at a plurality of geographic locations and times comprising: determining expected occurrences of the disease at a plurality of geographic locations and a plurality of times; determining actual occurrences of the disease at a plurality of geographic locations and a plurality of times; searching the expected occurrences and the actual occurrences for a plurality of candidate solutions, wherein each solution is represented as a set of points in a three-dimensional space, and wherein each point corresponds to a geographic location at a time; determining at least one solution corresponding to a selected convex container shape from the plurality of candidate solutions, wherein the convex container module determines a solution that maximizes a measure representing the equality between the set of points in the given candidate solution and the set of points included in the solution, given the selected convex container shape; and determining a strength metric for each solution determined by the convex container module, the search module selecting a solution having a desirable strength, wherein the solution having the desirable strength indicates a dominant cluster in the input data corresponding to a detected cluster of the disease in the population. 18. The method of claim 5 , further comprising determining the strength metric based on all the points included in the solution and the expected occurrences and the occurrences. | 0.610132 |
7,599,924 | 1 | 3 | 1. A method of creating queries querying physical data logically represented by a data abstraction model, the method comprising: receiving an abstract query against physical data in a database, the abstract query having one or more result fields, each corresponding to a logical field defined by the data abstraction model; wherein each definition of a logical field in the data abstraction model comprises a reference to an access method specifying a manner of accessing and exposing portions of the physical data; determining that the data abstraction model includes associated logical links defining relationships between logical fields contained in the abstract query; and then: retrieving the associated logical links; and transforming, by operation of one or more computer processors, the abstract query into an executable query formatted for execution against the physical data, wherein the transforming is done using the data abstraction model and the retrieved associated logical links. | 1. A method of creating queries querying physical data logically represented by a data abstraction model, the method comprising: receiving an abstract query against physical data in a database, the abstract query having one or more result fields, each corresponding to a logical field defined by the data abstraction model; wherein each definition of a logical field in the data abstraction model comprises a reference to an access method specifying a manner of accessing and exposing portions of the physical data; determining that the data abstraction model includes associated logical links defining relationships between logical fields contained in the abstract query; and then: retrieving the associated logical links; and transforming, by operation of one or more computer processors, the abstract query into an executable query formatted for execution against the physical data, wherein the transforming is done using the data abstraction model and the retrieved associated logical links. 3. The method of claim 1 , wherein determining whether the data abstraction model includes the associated logical links comprises: determining whether one or more result fields of the abstract query are included with a category specification including a logical link. | 0.5 |
8,365,059 | 13 | 14 | 13. An electronic reader (e-reader) device for changing a textual length of a displayable electronic text content while maintaining a meaning of the displayable electronic text content, the e-reader device comprising: a memory for storing a displayable electronic text content; length change indication that indicates a reduction or expansion of a textual length of the targeted displayable electronic text content; and a semantic server application stored in the memory of the e-reader device and being executable by the processor of the e-reader device to receive requests for a displayable semantic text alternative for a targeted displayable electronic text content identified by way of the e-reader device and to determine a displayable semantic alternative electronic text content for the targeted displayable electronic text content based on the textual length change indication and for effecting replacement of the targeted displayable electronic text content displayed by the e-reader device with the determined displayable semantic alternative electronic text content, wherein the determined displayable semantic alternative electronic text content is different from the targeted displayable electronic text content and has a different textual length than the targeted displayable electronic text content. | 13. An electronic reader (e-reader) device for changing a textual length of a displayable electronic text content while maintaining a meaning of the displayable electronic text content, the e-reader device comprising: a memory for storing a displayable electronic text content; length change indication that indicates a reduction or expansion of a textual length of the targeted displayable electronic text content; and a semantic server application stored in the memory of the e-reader device and being executable by the processor of the e-reader device to receive requests for a displayable semantic text alternative for a targeted displayable electronic text content identified by way of the e-reader device and to determine a displayable semantic alternative electronic text content for the targeted displayable electronic text content based on the textual length change indication and for effecting replacement of the targeted displayable electronic text content displayed by the e-reader device with the determined displayable semantic alternative electronic text content, wherein the determined displayable semantic alternative electronic text content is different from the targeted displayable electronic text content and has a different textual length than the targeted displayable electronic text content. 14. The e-reader device of claim 13 , wherein the multi-touch user input indicates one of a user's fingers touching the electronic touch screen such that two digits of the user are moved towards each other in a pinching motion to request the reduction in the textual length of the targeted displayable electronic text content, and two digits of the user moving away from each other to request the expansion in the textual length of the targeted displayable electronic text content. | 0.5 |
8,290,977 | 34 | 35 | 34. The system of claim 33 , wherein said execution module marshals said values at aggregation boundaries. | 34. The system of claim 33 , wherein said execution module marshals said values at aggregation boundaries. 35. The system of claim 34 , wherein said execution module determines aggregation boundaries based on outer path context. | 0.561594 |
7,925,091 | 17 | 18 | 17. A computer recording device comprising computer executable instructions that when executed via a microprocessor perform a method for displaying an input string of character codes as a sequence of glyphs comprising: generating an ordered list of instructions using syntax-directed translation, the generating comprising: formulating context-free grammar rules comprising mathematical representations of rules governing structural patterns of grammar; and analyzing the input string using the context-free grammar rules to generate the ordered list of instructions; executing the ordered list of instructions to generate a sequence of glyph indices; and displaying a sequence of glyphs corresponding to the sequence of glyph indices. | 17. A computer recording device comprising computer executable instructions that when executed via a microprocessor perform a method for displaying an input string of character codes as a sequence of glyphs comprising: generating an ordered list of instructions using syntax-directed translation, the generating comprising: formulating context-free grammar rules comprising mathematical representations of rules governing structural patterns of grammar; and analyzing the input string using the context-free grammar rules to generate the ordered list of instructions; executing the ordered list of instructions to generate a sequence of glyph indices; and displaying a sequence of glyphs corresponding to the sequence of glyph indices. 18. The computer recording device of claim 17 , wherein the instructions are independent of a font. | 0.672185 |
9,916,307 | 14 | 19 | 14. A method for dynamically evaluating an electronic communication comprising: observing an electronic communication; upon detecting of movement of indicia proximal to a phrase in the communication, activating an idiom search application; the activated application: identifying an idiom within the phrase; searching a corpus for a translation of the idiom and one or more associated characteristics; in response to detection of the translation, collecting profile metadata related to the observed communication, comparing the one or more characteristics with the collected profile metadata, and storing the identified idiom and the collected profile metadata in the corpus; and in response to absence of the translation, dynamically translating the idiom, and presenting the translated idiom proximal to the evaluated expression. | 14. A method for dynamically evaluating an electronic communication comprising: observing an electronic communication; upon detecting of movement of indicia proximal to a phrase in the communication, activating an idiom search application; the activated application: identifying an idiom within the phrase; searching a corpus for a translation of the idiom and one or more associated characteristics; in response to detection of the translation, collecting profile metadata related to the observed communication, comparing the one or more characteristics with the collected profile metadata, and storing the identified idiom and the collected profile metadata in the corpus; and in response to absence of the translation, dynamically translating the idiom, and presenting the translated idiom proximal to the evaluated expression. 19. The method of claim 14 , wherein the indicia is an element selected from the group consisting of: a cursor and a pointer. | 0.83724 |
9,098,471 | 1 | 7 | 1. A method comprising: ingesting a document page in an unstructured document format, having a specified layout; extracting one or more images and metadata associated with the images from the document page; extracting text, and fonts associated with the texts, from the document page, wherein extracting the texts comprises: determining Unicode mappings of the texts in the document page by: mapping a first glyph of a letter to a standard code number in a Unicode chart table, and mapping each of the one or more glyphs of the same letter to a unique code number in Private Use Area (PUA) of the Unicode, wherein each code number in PUA is obtained by masking the standard code number of the first glyph with a unique highest byte offset, extracting all text characters and glyphs from the document page, identifying horizontal and vertical positions of the extracted text characters and glyphs, and extracting fonts associated with every character extracted; coalescing the text into paragraphs; and creating a structured document page in a markup language format using the extracted images, the text and the fonts rendered in accordance with the specified layout of the original ingested document page. | 1. A method comprising: ingesting a document page in an unstructured document format, having a specified layout; extracting one or more images and metadata associated with the images from the document page; extracting text, and fonts associated with the texts, from the document page, wherein extracting the texts comprises: determining Unicode mappings of the texts in the document page by: mapping a first glyph of a letter to a standard code number in a Unicode chart table, and mapping each of the one or more glyphs of the same letter to a unique code number in Private Use Area (PUA) of the Unicode, wherein each code number in PUA is obtained by masking the standard code number of the first glyph with a unique highest byte offset, extracting all text characters and glyphs from the document page, identifying horizontal and vertical positions of the extracted text characters and glyphs, and extracting fonts associated with every character extracted; coalescing the text into paragraphs; and creating a structured document page in a markup language format using the extracted images, the text and the fonts rendered in accordance with the specified layout of the original ingested document page. 7. The method of claim 1 , further comprising: repeating document reconstruction and recreation for each page of a plurality of pages in a document; and constructing a table of contents for the document. | 0.71 |
8,810,578 | 15 | 19 | 15. A mobile device, comprising: a processor; and a computer readable memory in communication with the processor, the memory storing statements and instructions for execution by the processor to perform a method of converting a Shockwave Flash (SWF) shape definition, including a first plurality of directed edges having a first path style in common, into a first vector graphics path definition corresponding to the first path style, the method including: i) creating a first path style graph representation corresponding to the first path style, based on mapping the first plurality of directed edges of the SWF shape definition having the first path style in common to a first plurality of vertices and undirected edges, and generating and storing connectivity information relating to the first plurality of vertices and undirected edges such that each of the undirected edges is connected to at least two of the first plurality of vertices and such that each of the first plurality of vertices is connected to two of the undirected edges, the first path style graph representation including first path style information and a first graph representation; ii) creating a first vector graphics path by traversing undirected edges of a graph represented by the first graph representation and by removing an undirected edge, after the undirected edge has been traversed, from each edge set to which the traversed edge belongs; and iii) creating the first vector graphics path definition including the first vector graphics path and the first path style information. | 15. A mobile device, comprising: a processor; and a computer readable memory in communication with the processor, the memory storing statements and instructions for execution by the processor to perform a method of converting a Shockwave Flash (SWF) shape definition, including a first plurality of directed edges having a first path style in common, into a first vector graphics path definition corresponding to the first path style, the method including: i) creating a first path style graph representation corresponding to the first path style, based on mapping the first plurality of directed edges of the SWF shape definition having the first path style in common to a first plurality of vertices and undirected edges, and generating and storing connectivity information relating to the first plurality of vertices and undirected edges such that each of the undirected edges is connected to at least two of the first plurality of vertices and such that each of the first plurality of vertices is connected to two of the undirected edges, the first path style graph representation including first path style information and a first graph representation; ii) creating a first vector graphics path by traversing undirected edges of a graph represented by the first graph representation and by removing an undirected edge, after the undirected edge has been traversed, from each edge set to which the traversed edge belongs; and iii) creating the first vector graphics path definition including the first vector graphics path and the first path style information. 19. The mobile device of claim 15 wherein generating and storing connectivity information relating to the first plurality of vertices and undirected edges comprises: converting a directed-edge record of the SWF shape definition to a first vertex, a second vertex, and an undirected edge in the first path style graph representation, the undirected edge connecting the first and second vertices, and one of the first vertex and the second vertex being created based on a current position prior to conversion of the directed edge record; adding the undirected edge to a first edge set identifying those undirected edges connected to the first vertex; and adding the undirected edge to a second edge set identifying those undirected edges connected to the second vertex. | 0.690226 |
8,250,018 | 1 | 9 | 1. An expert system for aiding engineering personnel in a contact lens manufacturing, comprising: a user interface for receiving a query from a user regarding an element of business entity's industrial environment in which the user works in a contact lens manufacturing related capacity; a database containing information describing aspects of elements of the business entity's industrial environment; the inference engine subsystem receives the query via the user interface and obtains solution information from the database by matching keyterms in the query, wherein the user interface outputs the solution information to the user; an inference engine matches keyterms in the query with keyterms associated with rules to select a rule from the database; and the inference engine obtains a further question from the database associated with the selected rule; the user interface prompts the user to answer the further question; and the inference engine determines if solution information associated with a user's answer to the further question is available in the database. | 1. An expert system for aiding engineering personnel in a contact lens manufacturing, comprising: a user interface for receiving a query from a user regarding an element of business entity's industrial environment in which the user works in a contact lens manufacturing related capacity; a database containing information describing aspects of elements of the business entity's industrial environment; the inference engine subsystem receives the query via the user interface and obtains solution information from the database by matching keyterms in the query, wherein the user interface outputs the solution information to the user; an inference engine matches keyterms in the query with keyterms associated with rules to select a rule from the database; and the inference engine obtains a further question from the database associated with the selected rule; the user interface prompts the user to answer the further question; and the inference engine determines if solution information associated with a user's answer to the further question is available in the database. 9. The expert system claimed in claim 1 , further comprising a feedback subsystem for updating the database in response to receiving feedback information from a user. | 0.621005 |
9,747,276 | 1 | 8 | 1. A computer program product, comprising: a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions readable by a processing circuit to cause the processing circuit to perform a method of determining a crowd behavior, the method comprising: collecting, at one or more recording points in a crowd of individuals, audible expressions that the individuals of the crowd make; generating a graph of the audible expressions as the audible expressions are collected from the individuals, wherein the graph comprises nodes that represent tokens and edges that represent temporal precedence in the audible expressions; determining a crowd behavior by performing a graphical text analysis on the graph; and outputting an indication of the crowd behavior to trigger a crowd control measure, wherein the crowd behavior comprises a risk metric, and wherein the crowd control measure is triggered when the risk metric is above a threshold. | 1. A computer program product, comprising: a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions readable by a processing circuit to cause the processing circuit to perform a method of determining a crowd behavior, the method comprising: collecting, at one or more recording points in a crowd of individuals, audible expressions that the individuals of the crowd make; generating a graph of the audible expressions as the audible expressions are collected from the individuals, wherein the graph comprises nodes that represent tokens and edges that represent temporal precedence in the audible expressions; determining a crowd behavior by performing a graphical text analysis on the graph; and outputting an indication of the crowd behavior to trigger a crowd control measure, wherein the crowd behavior comprises a risk metric, and wherein the crowd control measure is triggered when the risk metric is above a threshold. 8. The computer program product of claim 1 , wherein the recording points comprise a screening checkpoint, wherein the method further comprises: determining a behavior of an individual or a behavior a group of individuals of the crowd by performing the graphical text analysis on the graph; and outputting an indication of the determined individual or group behavior to trigger a security measure. | 0.5 |
9,052,792 | 1 | 5 | 1. A method comprising: receiving, by a processor, a dialog message from a first user device, the dialog message comprising a plurality of portions of content; storing, by the processor, the dialog message from the first user device; receiving, by the processor, a request from a second user's mobile terminal for the dialog message; determining, by the processor, a search box format at least partly based on the dialog message from the first user device; modifying, by the processor, the dialog message by inserting a search box into a selected portion of the dialog message to generate an outbound dialog message with the search box inserted within the dialog message using the search box format; and transmitting, by the processor, the outbound dialog message with the inserted search box to the second user's mobile terminal. | 1. A method comprising: receiving, by a processor, a dialog message from a first user device, the dialog message comprising a plurality of portions of content; storing, by the processor, the dialog message from the first user device; receiving, by the processor, a request from a second user's mobile terminal for the dialog message; determining, by the processor, a search box format at least partly based on the dialog message from the first user device; modifying, by the processor, the dialog message by inserting a search box into a selected portion of the dialog message to generate an outbound dialog message with the search box inserted within the dialog message using the search box format; and transmitting, by the processor, the outbound dialog message with the inserted search box to the second user's mobile terminal. 5. The method of claim 1 , wherein the search box comprises an advertisement. | 0.804569 |
9,785,676 | 6 | 7 | 6. The method of claim 1 , wherein generating the ordered list includes listing the content items having relatively higher relevance scores nearer a top of the ordered list. | 6. The method of claim 1 , wherein generating the ordered list includes listing the content items having relatively higher relevance scores nearer a top of the ordered list. 7. The method of claim 6 , wherein the ordered list includes only the content items having second relevance scores greater than a threshold relevance score. | 0.5 |
9,189,965 | 2 | 6 | 2. A computer program product comprising: a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to provide access to an online discussion; computer readable program code configured to provide access to an online discussion, wherein the online discussion includes one or more threads; computer readable program code configured to accept, for the one or more threads of the online discussion: a posting by an author participating in the discussion; and one or more responses to the posting by other individuals participating in the discussion; and computer readable program code configured to automatically produce for the author a recommendation for amending the posting to increase the likelihood of response to the posting by other individuals participating in the discussion via: triggering an agent based on fulfillment of at least one predetermined criterion; the at least one predetermined criterion being based on: time elapsed since a last login or view time by the author; a number of replies to the posting; and at least one of: a number of views of the posting, a number of times that explicit feedback has been provided by at least one other individual, and a degree of similarity with respect to an existing posting; and thereafter employing the agent to make a determination for performing at least one of: providing explicit feedback from at least one other individual, and classifying the posting to suggest further action to the author. | 2. A computer program product comprising: a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising: computer readable program code configured to provide access to an online discussion; computer readable program code configured to provide access to an online discussion, wherein the online discussion includes one or more threads; computer readable program code configured to accept, for the one or more threads of the online discussion: a posting by an author participating in the discussion; and one or more responses to the posting by other individuals participating in the discussion; and computer readable program code configured to automatically produce for the author a recommendation for amending the posting to increase the likelihood of response to the posting by other individuals participating in the discussion via: triggering an agent based on fulfillment of at least one predetermined criterion; the at least one predetermined criterion being based on: time elapsed since a last login or view time by the author; a number of replies to the posting; and at least one of: a number of views of the posting, a number of times that explicit feedback has been provided by at least one other individual, and a degree of similarity with respect to an existing posting; and thereafter employing the agent to make a determination for performing at least one of: providing explicit feedback from at least one other individual, and classifying the posting to suggest further action to the author. 6. The computer program product according to claim 2 , wherein said computer readable program code is configured to solicit explicit feedback from a designated individual other than the author. | 0.856825 |
8,214,734 | 6 | 7 | 6. The method of claim 1 , further comprising: computing performance rates for each annotation type in the set of annotation types. | 6. The method of claim 1 , further comprising: computing performance rates for each annotation type in the set of annotation types. 7. The method of claim 6 , wherein the performance rates for each annotation type in the set of annotation types are at least one of a precision performance rate, a recall performance rate, or a F-measure performance rate. | 0.5 |
10,102,190 | 18 | 19 | 18. The system of claim 14 , wherein in analyzing a plurality of server memory conserving versioning factors, the server memory conserving versioning analyzer is operative to: derive a value for each of the plurality of server memory conserving versioning factors; generate a versioning score based on the derived values; compare the versioning score against a versioning threshold score; and when the versioning score meets or exceeds the versioning threshold score, determine that a new version of the electronic document should be created. | 18. The system of claim 14 , wherein in analyzing a plurality of server memory conserving versioning factors, the server memory conserving versioning analyzer is operative to: derive a value for each of the plurality of server memory conserving versioning factors; generate a versioning score based on the derived values; compare the versioning score against a versioning threshold score; and when the versioning score meets or exceeds the versioning threshold score, determine that a new version of the electronic document should be created. 19. The system of claim 18 , wherein in deriving a value for each of the plurality of server memory conserving versioning factors, the server memory conserving versioning analyzer is operative to derive a value for at least one of: a client version request memory conserving versioning factor based on a client-generated versioning score; a save time interval server memory conserving versioning factor; a version time interval server memory conserving versioning factor; and a storage server memory conserving versioning factor. | 0.5 |
8,255,427 | 27 | 33 | 27. A method for generating a modified schema, comprising: using a computer system, receiving an input schema, the input schema specifying how to represent one or more elements in a document; using a computer system, receiving one or more instance documents; and using a computer system, generating one or more rules from the one or more instance documents; using a computer system, analyzing the input schema for conformance to the one or more rules; and using a computer system, if the input schema does not conform to the one or more rules, generating a modified schema based on the input schema, the modified schema specifying how to represent the one or more elements in the document in conformance with the one or more rules. | 27. A method for generating a modified schema, comprising: using a computer system, receiving an input schema, the input schema specifying how to represent one or more elements in a document; using a computer system, receiving one or more instance documents; and using a computer system, generating one or more rules from the one or more instance documents; using a computer system, analyzing the input schema for conformance to the one or more rules; and using a computer system, if the input schema does not conform to the one or more rules, generating a modified schema based on the input schema, the modified schema specifying how to represent the one or more elements in the document in conformance with the one or more rules. 33. The method of claim 27 , the one or more rules limiting elements to element instances provided by the one or more instance documents. | 0.676887 |
9,576,042 | 1 | 7 | 1. A computer-implemented method comprising: accessing a search history including one or more search terms for identifying search terms available for domain name registration, wherein the search history comprises prior user search terms; categorizing each of the one or more search terms based on a number of times the respective search term appears in the search history, wherein for each of the one or more search terms, the categorizing comprises: determining whether the search term is a restricted term; characterizing the search term as a term that is excluded from registration when the search term is a restricted term; and in a case where the number of times that the search term appears in the search history exceeds a first threshold value, identifying, from the search history, a search result of the search term; and categorizing the search term as a type that is provided for registration to a user with recognized association with the search term or a type that is excluded from registration, wherein the categorizing is based on a ratio of a number of times the search result was selected subsequent to receiving the search term to the number of times that the search term appears in the search history; receiving a user-selected search term from a client device associated with a user over a network connection to the client device, the user-selected search term corresponding to a type of categorization of one of the categorized one or more search terms; and sending a notification to the client device over the network connection, the notification indicating how to obtain registration of a domain name that includes the user-selected search term. | 1. A computer-implemented method comprising: accessing a search history including one or more search terms for identifying search terms available for domain name registration, wherein the search history comprises prior user search terms; categorizing each of the one or more search terms based on a number of times the respective search term appears in the search history, wherein for each of the one or more search terms, the categorizing comprises: determining whether the search term is a restricted term; characterizing the search term as a term that is excluded from registration when the search term is a restricted term; and in a case where the number of times that the search term appears in the search history exceeds a first threshold value, identifying, from the search history, a search result of the search term; and categorizing the search term as a type that is provided for registration to a user with recognized association with the search term or a type that is excluded from registration, wherein the categorizing is based on a ratio of a number of times the search result was selected subsequent to receiving the search term to the number of times that the search term appears in the search history; receiving a user-selected search term from a client device associated with a user over a network connection to the client device, the user-selected search term corresponding to a type of categorization of one of the categorized one or more search terms; and sending a notification to the client device over the network connection, the notification indicating how to obtain registration of a domain name that includes the user-selected search term. 7. The computer-implemented method of claim 1 , wherein the search result comprises a character string for a uniform resource locator, and wherein the character string comprises the search term. | 0.780543 |
7,664,644 | 2 | 3 | 2. The method of claim 1 , further comprising: automatically cross labeling utterances from each of the plurality of applications using the trained individual models. | 2. The method of claim 1 , further comprising: automatically cross labeling utterances from each of the plurality of applications using the trained individual models. 3. The method of claim 2 , wherein the utterances that are automatically cross-labeled are those that have a confidence score above a threshold. | 0.5 |
9,691,391 | 4 | 5 | 4. The system of claim 1 , wherein the computer program components are further configured to determine to include the edge between the first node of the graph and the second node of the graph by comparing the first score to a threshold. | 4. The system of claim 1 , wherein the computer program components are further configured to determine to include the edge between the first node of the graph and the second node of the graph by comparing the first score to a threshold. 5. The system of claim 4 , wherein the threshold is determined by computing parameters of a mixture model corresponding to the plurality of scores. | 0.5 |
9,026,509 | 20 | 22 | 20. The method of claim 7 , comprising modifying the received query by adding at least one of the said stored related terms to said received query to create a modified query. | 20. The method of claim 7 , comprising modifying the received query by adding at least one of the said stored related terms to said received query to create a modified query. 22. The method of claim 20 , comprising displaying said modified query. | 0.726923 |
8,538,750 | 25 | 35 | 25. The speech communication apparatus according to claim 24 , wherein the audio output unit is further configured to output auditory communications based on a conversation history with the conversation partner. | 25. The speech communication apparatus according to claim 24 , wherein the audio output unit is further configured to output auditory communications based on a conversation history with the conversation partner. 35. The speech communication apparatus according to claim 25 , wherein conversation history with the conversation partner includes a previous conversation partner speech utterance which was recognized by the speech recognition unit. | 0.571956 |
7,996,440 | 9 | 14 | 9. An apparatus for extracting at least one attribute and at least one value for a product based on at least one natural language document comprising unlabeled data, comprising: a classification algorithm module, implemented by a processor executing instructions stored by a storage device, operative to label at least a portion of the unlabeled data as the at least one attribute via at least one classification algorithm operating upon the at least one natural language document and to label at least another portion of the unlabeled data as the at least one value for the product via the at least one classification algorithm operating upon the at least one natural language document; a linking module, implemented by the processor executing instructions stored by the storage device, operative to calculate correlation values between each of at least two attributes of the at least one attribute, calculate correlation values between each of at least two values of the at least one value, merge attributes of the at least two attributes having correlation values above a correlation threshold and merge values of the at least two values having correlation values above the correlation threshold; and a machine readable store operative to store the at least one attribute and the at least one value. | 9. An apparatus for extracting at least one attribute and at least one value for a product based on at least one natural language document comprising unlabeled data, comprising: a classification algorithm module, implemented by a processor executing instructions stored by a storage device, operative to label at least a portion of the unlabeled data as the at least one attribute via at least one classification algorithm operating upon the at least one natural language document and to label at least another portion of the unlabeled data as the at least one value for the product via the at least one classification algorithm operating upon the at least one natural language document; a linking module, implemented by the processor executing instructions stored by the storage device, operative to calculate correlation values between each of at least two attributes of the at least one attribute, calculate correlation values between each of at least two values of the at least one value, merge attributes of the at least two attributes having correlation values above a correlation threshold and merge values of the at least two values having correlation values above the correlation threshold; and a machine readable store operative to store the at least one attribute and the at least one value. 14. The apparatus of claim 9 , wherein the linking module is further operative to associate one of the at least one attribute with one of the at least one value to provide an attribute-value pair, wherein the machine readable store is further operative to store the attribute-value pair. | 0.772222 |
8,542,195 | 1 | 6 | 1. A method comprising: selecting multiple languages for a keyboard; obtaining a text corpus for each of the multiple languages; and obtaining, for each of the multiple languages, a mean time to input each of a plurality of characters in the text corpus to the keyboard for one of the multiple languages; simultaneously optimizing the keyboard for the selected multiple languages by: analyzing the text corpus for each of the multiple languages to obtain a digram frequency table; selecting key positions for characters on the keyboard based on an average distance traveled to type one of the characters and a frequency of moving from one of the characters to another one of the characters; selecting constraints for the key positions for the characters on the keyboard; and using a Metropolis method to average the obtained mean times to input one of the characters to the keyboard for each of the multiple languages and determine placement for the positions of the characters on the keyboard for higher user input speed on the keyboard, based on the digram frequency table and additional constraints. | 1. A method comprising: selecting multiple languages for a keyboard; obtaining a text corpus for each of the multiple languages; and obtaining, for each of the multiple languages, a mean time to input each of a plurality of characters in the text corpus to the keyboard for one of the multiple languages; simultaneously optimizing the keyboard for the selected multiple languages by: analyzing the text corpus for each of the multiple languages to obtain a digram frequency table; selecting key positions for characters on the keyboard based on an average distance traveled to type one of the characters and a frequency of moving from one of the characters to another one of the characters; selecting constraints for the key positions for the characters on the keyboard; and using a Metropolis method to average the obtained mean times to input one of the characters to the keyboard for each of the multiple languages and determine placement for the positions of the characters on the keyboard for higher user input speed on the keyboard, based on the digram frequency table and additional constraints. 6. The method of claim 1 , wherein the method is simultaneously optimized for speed of user input. | 0.681818 |
8,515,754 | 1 | 14 | 1. A method of performing speech recognition on an object for automatic processing of the object by a processing system, wherein the object includes an information area containing a character string of processing information, the method comprising: acquiring a signal representing a sequence of characters spoken by an operator corresponding to the character string and processing the signal with a speech recognition processor by way of a speech recognition procedure generating a first ambiguous speech recognition result; based on specific characteristics of the first ambiguous speech recognition result, requesting additional processing information from the operator by providing request information with the processing system; acquiring a signal representing an operator's response to the request and processing the operator's response with the speech recognition processor for generating a second ambiguous speech recognition result; modifying the first ambiguous speech recognition result to achieve consistency with the operator's response; and making a digital image of the information area available for an optical character recognition (OCR) procedure and performing the OCR procedure on the digital image using at least a part of the modified ambiguous speech recognition result for the OCR procedure. | 1. A method of performing speech recognition on an object for automatic processing of the object by a processing system, wherein the object includes an information area containing a character string of processing information, the method comprising: acquiring a signal representing a sequence of characters spoken by an operator corresponding to the character string and processing the signal with a speech recognition processor by way of a speech recognition procedure generating a first ambiguous speech recognition result; based on specific characteristics of the first ambiguous speech recognition result, requesting additional processing information from the operator by providing request information with the processing system; acquiring a signal representing an operator's response to the request and processing the operator's response with the speech recognition processor for generating a second ambiguous speech recognition result; modifying the first ambiguous speech recognition result to achieve consistency with the operator's response; and making a digital image of the information area available for an optical character recognition (OCR) procedure and performing the OCR procedure on the digital image using at least a part of the modified ambiguous speech recognition result for the OCR procedure. 14. The method according to claim 1 , which comprises: providing the request information to the operator as verification request for verifying the request information by giving verification information; processing the operator's response upon the request as processing information to generate a second ambiguous speech recognition result; and processing the verified request information as correct processing information. | 0.5 |
9,201,773 | 7 | 8 | 7. The computer system of claim 1 , wherein the test scenario template comprises possible values for running the first and second transactions. | 7. The computer system of claim 1 , wherein the test scenario template comprises possible values for running the first and second transactions. 8. The computer system of claim 7 , wherein at least one of the possible values for running the first transaction does not appear in each of the first and second runs of the specific test scenario. | 0.552273 |
10,032,177 | 8 | 9 | 8. A file server system for guiding a user to construct an outcome-based marketing plan comprising: a host processor; a network interface coupled to the host processor and configured to communicate with a remote processor over a network; a memory coupled to the host processor and adapted to store instructions that, when executed by the remote processor, cause the remote processor to: generate a graphical user interface including text, a plurality of user-selectable options, and text input fields, the graphical user interface configured to prompt a user through a process of defining a business outcome-based marketing plan; and receive user input corresponding to the graphical user interface defining the business outcome-based marketing plan starting from a business outcome and subsequently proceeding through a plurality of stages of the marketing plan, each stage including at least one element associated with the business outcome and with one or more element of each previous stage of said plurality of stages, wherein the instructions comprise a set of business outcome instructions at a top level and a plurality of subsequent sets of instructions corresponding to different ones of the plurality of stages of the marketing plan at lower levels; wherein the graphical user interface generates a control panel that allows a user to edit an existing business outcome and to select a mode of defining a new business outcome, wherein in response to a selection of a first mode by a user, the business outcome instructions cause the remote processor to generate a text input field of the graphical user interface to receive free form text for defining the new business outcome and in response to receiving the free form text to: analyze the user input to determine whether the new business outcome is quantifiable; if the new business outcome is not quantifiable, prompt the user to receive further user input to form a refined business outcome; and if the refined business outcome is quantifiable, proceed through the plurality of subsequent sets of instructions of the marketing plan to map at least one element of each of the plurality of stages to the refined business outcome through previous elements to produce a marketing blueprint, and wherein in response to a selection of a second mode of defining the business outcome by the user, the business outcome instructions cause the host processor to generate a configuration panel of the graphical user interface to receive a plurality of structured inputs from the user using corresponding pull-down menus for defining the new business outcome. | 8. A file server system for guiding a user to construct an outcome-based marketing plan comprising: a host processor; a network interface coupled to the host processor and configured to communicate with a remote processor over a network; a memory coupled to the host processor and adapted to store instructions that, when executed by the remote processor, cause the remote processor to: generate a graphical user interface including text, a plurality of user-selectable options, and text input fields, the graphical user interface configured to prompt a user through a process of defining a business outcome-based marketing plan; and receive user input corresponding to the graphical user interface defining the business outcome-based marketing plan starting from a business outcome and subsequently proceeding through a plurality of stages of the marketing plan, each stage including at least one element associated with the business outcome and with one or more element of each previous stage of said plurality of stages, wherein the instructions comprise a set of business outcome instructions at a top level and a plurality of subsequent sets of instructions corresponding to different ones of the plurality of stages of the marketing plan at lower levels; wherein the graphical user interface generates a control panel that allows a user to edit an existing business outcome and to select a mode of defining a new business outcome, wherein in response to a selection of a first mode by a user, the business outcome instructions cause the remote processor to generate a text input field of the graphical user interface to receive free form text for defining the new business outcome and in response to receiving the free form text to: analyze the user input to determine whether the new business outcome is quantifiable; if the new business outcome is not quantifiable, prompt the user to receive further user input to form a refined business outcome; and if the refined business outcome is quantifiable, proceed through the plurality of subsequent sets of instructions of the marketing plan to map at least one element of each of the plurality of stages to the refined business outcome through previous elements to produce a marketing blueprint, and wherein in response to a selection of a second mode of defining the business outcome by the user, the business outcome instructions cause the host processor to generate a configuration panel of the graphical user interface to receive a plurality of structured inputs from the user using corresponding pull-down menus for defining the new business outcome. 9. The file server system of claim 8 , wherein the memory stores further instructions that, when executed, cause the remote processor to provide the marketing blueprint to an output device coupled to the remote processor, wherein output device comprises a display. | 0.689412 |
8,239,426 | 13 | 14 | 13. The method of claim 8 , further comprising using the data management services framework subsystem to provide data staging services. | 13. The method of claim 8 , further comprising using the data management services framework subsystem to provide data staging services. 14. The method of claim 13 , wherein the data staging services include synchronization of inbound and outbound staging areas with managed data areas of a database. | 0.5 |
10,146,748 | 1 | 6 | 1. A method comprising: identifying, using natural language processing (NLP) techniques, a location discussed by users in a media collaboration, the media collaboration comprising a composite media stream generated from combining media streams transmitted from devices of the users; determining a location context of at least one user of the users, the location context comprising a geographic location of a device of the at least one user; identifying, based on the identified location and the location context, location information comprising a map corresponding to the identified location; generating, without user intervention, a preview of the location information identified using the NLP techniques, the preview comprising the map and a user interface (UI) element, the UI element to confirm sharing of the location information within the media collaboration; providing, without user intervention, the preview to the at least one user via a graphical user interface (GUI) of the media collaboration, the preview provided in a conversation portion of the GUI of the media collaboration without being visible to other users in the conversation portion of the GUI of the media collaboration; responsive to receiving an indication to share the location information via the UI element of the preview, providing, by a processing device to the other users, the location information comprising the map within the media collaboration; and responsive to receiving an indication that sharing of the location information is declined, removing the preview without sharing the location information in the media collaboration. | 1. A method comprising: identifying, using natural language processing (NLP) techniques, a location discussed by users in a media collaboration, the media collaboration comprising a composite media stream generated from combining media streams transmitted from devices of the users; determining a location context of at least one user of the users, the location context comprising a geographic location of a device of the at least one user; identifying, based on the identified location and the location context, location information comprising a map corresponding to the identified location; generating, without user intervention, a preview of the location information identified using the NLP techniques, the preview comprising the map and a user interface (UI) element, the UI element to confirm sharing of the location information within the media collaboration; providing, without user intervention, the preview to the at least one user via a graphical user interface (GUI) of the media collaboration, the preview provided in a conversation portion of the GUI of the media collaboration without being visible to other users in the conversation portion of the GUI of the media collaboration; responsive to receiving an indication to share the location information via the UI element of the preview, providing, by a processing device to the other users, the location information comprising the map within the media collaboration; and responsive to receiving an indication that sharing of the location information is declined, removing the preview without sharing the location information in the media collaboration. 6. The method of claim 1 , wherein including the location information further comprises embedding a selectable link to the location information in the media collaboration. | 0.725962 |
7,529,753 | 15 | 20 | 15. A computer accessible storage hardware having thereon stored computer-executable instructions for implementing the method of: at a decoding layer above a network layer at a first network location between one or more database clients residing at one or more second network locations and one or more database servers residing at one or more third network locations: receiving database messages communicated from the database clients and intended for the database servers and database messages communicated from the database servers and intended for the database clients; decoding the database messages; and extracting query-language statements from the database messages; at an application layer above the decoding layer, a caching application operable for: receiving query-language statements extracted at the decoders comprising queries; receiving query-language statements extracted at the decoders comprising query results corresponding to the queries; and recording the queries and the query results corresponding to the queries in a cache residing at the first network location wherein the queries are associated with a corresponding query result; and a monitoring application operable to receive query-language statements extracted at the decoders and record observations on the database messages based at least in part on the query-language statements extracted at the decoders, wherein at least one observation is associated with a query result stored in the cache and communicate one or more observations associated with the queries to one or more computing systems at a fourth network location according to the needs of the one or more computer systems, wherein at least one of the computer systems maintains a web cache and is operable to modify the web cache based upon the communicated observations wherein observations on the database messages based at least in part on the query-language statement extracted at the decoders comprise the following: subject database instances of the query-language statements; network protocols and versions of the network protocols used to communicate the database messages; devices hosting the subject database instances of the query-language statements; hostnames, Internet Protocol (IP) addresses, Media Access Control (MAC) addresses, and network ports of the database servers; operating systems (OSs), versions of the OSs, and attributes of the OSs of devices hosting the subject database instances; devices hosting the clients; and a number of queries communicated from each of the clients to each of one or more database instances; and at an application layer above the decoding layer at the first network location, receiving and processing query-language statements extracted at the decoding layer; and at the application layer, communicating query results corresponding to the queries to the clients. | 15. A computer accessible storage hardware having thereon stored computer-executable instructions for implementing the method of: at a decoding layer above a network layer at a first network location between one or more database clients residing at one or more second network locations and one or more database servers residing at one or more third network locations: receiving database messages communicated from the database clients and intended for the database servers and database messages communicated from the database servers and intended for the database clients; decoding the database messages; and extracting query-language statements from the database messages; at an application layer above the decoding layer, a caching application operable for: receiving query-language statements extracted at the decoders comprising queries; receiving query-language statements extracted at the decoders comprising query results corresponding to the queries; and recording the queries and the query results corresponding to the queries in a cache residing at the first network location wherein the queries are associated with a corresponding query result; and a monitoring application operable to receive query-language statements extracted at the decoders and record observations on the database messages based at least in part on the query-language statements extracted at the decoders, wherein at least one observation is associated with a query result stored in the cache and communicate one or more observations associated with the queries to one or more computing systems at a fourth network location according to the needs of the one or more computer systems, wherein at least one of the computer systems maintains a web cache and is operable to modify the web cache based upon the communicated observations wherein observations on the database messages based at least in part on the query-language statement extracted at the decoders comprise the following: subject database instances of the query-language statements; network protocols and versions of the network protocols used to communicate the database messages; devices hosting the subject database instances of the query-language statements; hostnames, Internet Protocol (IP) addresses, Media Access Control (MAC) addresses, and network ports of the database servers; operating systems (OSs), versions of the OSs, and attributes of the OSs of devices hosting the subject database instances; devices hosting the clients; and a number of queries communicated from each of the clients to each of one or more database instances; and at an application layer above the decoding layer at the first network location, receiving and processing query-language statements extracted at the decoding layer; and at the application layer, communicating query results corresponding to the queries to the clients. 20. The computer accessible storage hardware of claim 15 , wherein decoding database messages comprises decoding database messages of database implementations different from each other. | 0.803191 |
10,007,707 | 1 | 18 | 1. A computer server system coupleable to a network for personalization of network search results and search result rankings, the server system comprising: a network input and output interface for network data transmission and reception, the network input and output interface adapted to receive at least one query from a respondent or co-respondent via the network; to transmit a plurality of return queries to the respondent or co-respondent via the network; to receive a plurality of responses to the return queries from the respondent or co-respondent via the network; and to transmit personalized network search results and search result rankings to the respondent or co-respondent via the network; at least one data storage device storing a plurality of return queries; and one or more processors coupled to the at least one data storage device and network input and output interface, the one or more processors adapted to access the at least one data storage device and using the at least one query, to select the plurality of return queries for transmission; to generate a digital filter from each plurality of responses to the return queries to form a plurality of digital filters; to search the at least one data storage device for corresponding pluralities of responses to the return queries from one or more co-respondents or respondents, respectively; to comparatively pair-wise score the plurality of responses to the return queries against the corresponding pluralities of responses to the return queries by using the plurality of digital filters to provide a two-stage filtering of the search results through both a respondent digital filter of a selected respondent and a co-respondent digital filter of a selected co-respondent, of the plurality of digital filters, to form a plurality of pair-wise alignment scores for a plurality of respondent and co-respondent combinations; to sort and rank the plurality of respondent and co-respondent combinations according to the plurality of pair-wise alignment scores; and to output a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings. | 1. A computer server system coupleable to a network for personalization of network search results and search result rankings, the server system comprising: a network input and output interface for network data transmission and reception, the network input and output interface adapted to receive at least one query from a respondent or co-respondent via the network; to transmit a plurality of return queries to the respondent or co-respondent via the network; to receive a plurality of responses to the return queries from the respondent or co-respondent via the network; and to transmit personalized network search results and search result rankings to the respondent or co-respondent via the network; at least one data storage device storing a plurality of return queries; and one or more processors coupled to the at least one data storage device and network input and output interface, the one or more processors adapted to access the at least one data storage device and using the at least one query, to select the plurality of return queries for transmission; to generate a digital filter from each plurality of responses to the return queries to form a plurality of digital filters; to search the at least one data storage device for corresponding pluralities of responses to the return queries from one or more co-respondents or respondents, respectively; to comparatively pair-wise score the plurality of responses to the return queries against the corresponding pluralities of responses to the return queries by using the plurality of digital filters to provide a two-stage filtering of the search results through both a respondent digital filter of a selected respondent and a co-respondent digital filter of a selected co-respondent, of the plurality of digital filters, to form a plurality of pair-wise alignment scores for a plurality of respondent and co-respondent combinations; to sort and rank the plurality of respondent and co-respondent combinations according to the plurality of pair-wise alignment scores; and to output a listing of the sorted and ranked respondents or co-respondents to form the personalized network search results and search result rankings. 18. The computer server system of claim 1 , wherein the at least one query is an employment position or a social matching request. | 0.883094 |
9,218,369 | 1 | 2 | 1. A method performed by data processing apparatus, the method comprising: identifying a click count for an image and a search query pair, the click count being based on a number of times that an image search result that includes a representation of the image has been selected when provided in response to the search query; identifying a hover count for the image and the search query pair, the hover count being based on a number of times that the representation of the image has been hovered over by a pointer when the image search result has been provided in response to the search query; adjusting the hover count using a hover weighting to determine an adjusted hover count, the hover weighting being based on a total click count for the search query; determining a quality measure for the image with respect to the search query, the quality measure being based at least on the click count and the adjusted hover count; ranking the image relative to a plurality of images for the search query based at least in part on the quality measure for the image; selecting one or more images from a set of images that includes the image and the plurality of images based on the ranking, wherein each particular image in the set of images is ranked based on a respective quality measure for the particular image; generating search results that reference the one or more images; and transmitting the search results for presentation. | 1. A method performed by data processing apparatus, the method comprising: identifying a click count for an image and a search query pair, the click count being based on a number of times that an image search result that includes a representation of the image has been selected when provided in response to the search query; identifying a hover count for the image and the search query pair, the hover count being based on a number of times that the representation of the image has been hovered over by a pointer when the image search result has been provided in response to the search query; adjusting the hover count using a hover weighting to determine an adjusted hover count, the hover weighting being based on a total click count for the search query; determining a quality measure for the image with respect to the search query, the quality measure being based at least on the click count and the adjusted hover count; ranking the image relative to a plurality of images for the search query based at least in part on the quality measure for the image; selecting one or more images from a set of images that includes the image and the plurality of images based on the ranking, wherein each particular image in the set of images is ranked based on a respective quality measure for the particular image; generating search results that reference the one or more images; and transmitting the search results for presentation. 2. The method of claim 1 , wherein the hover weighting is inversely proportional to the total click count. | 0.929239 |
5,446,653 | 4 | 12 | 4. A document generation system in accordance with claim 1 wherein said identifying and replacing means comprise: second memory means coupled to said processor, said second memory means storing a library of rule sets each corresponding to a different endorsement and designating at least one insurance policy clause that is superseded by that endorsement; said processor being adapted to compare the insurance policy clauses designated by the endorsement rule sets to the insurance policy clauses corresponding to the insurance policy rule sets referred to on said list, and to replace references to the superseded insurance policy rule sets on said list with references to superseding endorsement rule sets. | 4. A document generation system in accordance with claim 1 wherein said identifying and replacing means comprise: second memory means coupled to said processor, said second memory means storing a library of rule sets each corresponding to a different endorsement and designating at least one insurance policy clause that is superseded by that endorsement; said processor being adapted to compare the insurance policy clauses designated by the endorsement rule sets to the insurance policy clauses corresponding to the insurance policy rule sets referred to on said list, and to replace references to the superseded insurance policy rule sets on said list with references to superseding endorsement rule sets. 12. A document generation system in accordance with claim 4 comprising third memory means for storing said insurance policy clauses and fourth memory means for storing said endorsement clauses, wherein said assembling means comprise a print system for retrieving the insurance policy and endorsement clauses set forth on said list from said third and fourth memory means, respectively, and formatting them for printing. | 0.5 |
7,895,144 | 1 | 13 | 1. A risk assessment method comprising: receiving, by an inference engine within a computing system, first sensor cohort data associated with a first cohort, said first cohort located within a pre/post security area within an airport; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter surrounding said airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and said pre/post security area within said airport; generating, by said inference engine, third inference data, said third inference data comprising a third plurality of inferences associated with said first cohort and said pre/post security area within said airport, wherein said generating said third inference data is based on said first risk cohort inferences, said first inference data, and said second inference data; generating, by said inference engine based on said third inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said third inference data and said first associated risk level score. | 1. A risk assessment method comprising: receiving, by an inference engine within a computing system, first sensor cohort data associated with a first cohort, said first cohort located within a pre/post security area within an airport; receiving, by said inference engine, first group technology inferences associated with said first cohort; generating, by said inference engine, first risk cohort inferences, said generating said first risk cohort inferences based on said first group technology inferences and said first sensor cohort data; receiving, by said inference engine, first inference data generated by said inference engine, said first inference data comprising a first plurality of inferences associated with said first cohort and a security perimeter surrounding said airport; receiving, by said inference engine, second inference data generated by said inference engine, said second inference data comprising a second of plurality of inferences associated with said first cohort and said pre/post security area within said airport; generating, by said inference engine, third inference data, said third inference data comprising a third plurality of inferences associated with said first cohort and said pre/post security area within said airport, wherein said generating said third inference data is based on said first risk cohort inferences, said first inference data, and said second inference data; generating, by said inference engine based on said third inference data, a first associated risk level score for said first cohort; and storing, by said computing system, said third inference data and said first associated risk level score. 13. The method of claim 1 , further comprising: receiving, by said inference engine, additional inference data, said additional inference data comprising an additional plurality of inferences associated with said first cohort; generating, by said inference engine based on said additional inference data and said third inference data, a second associated risk level score for said first cohort; and storing, by said computing system, said second associated risk level score. | 0.821267 |
8,379,027 | 11 | 13 | 11. A system comprising: a memory to store a graphical reference image for a rendered character, the graphical reference image was produced by a source known to produce correct images; a display device, coupled to the memory, the display device providing a bitmapped display screen to present the graphical reference image and the rendered character produced by a text rendering engine being tested to facilitate a visual comparison between a visual representation of the graphical reference image produced by the source known to produce correct images and a visual representation of the rendered character produced by the text rendering engine to be tested; and a processor, coupled to the memory and the display device, to receive user input indicating user evaluation of the graphical reference image and the rendered character, the user evaluation being based on the comparison between the visual representation of the graphical reference image and the visual representation of the rendered character, the user evaluation identifying one or more differences between the graphical reference image produced by the source known to produce correct images and the rendered character produced by the text rendering engine to be tested, and to store the user evaluation in a database for subsequent debugging of the text rendering engine. | 11. A system comprising: a memory to store a graphical reference image for a rendered character, the graphical reference image was produced by a source known to produce correct images; a display device, coupled to the memory, the display device providing a bitmapped display screen to present the graphical reference image and the rendered character produced by a text rendering engine being tested to facilitate a visual comparison between a visual representation of the graphical reference image produced by the source known to produce correct images and a visual representation of the rendered character produced by the text rendering engine to be tested; and a processor, coupled to the memory and the display device, to receive user input indicating user evaluation of the graphical reference image and the rendered character, the user evaluation being based on the comparison between the visual representation of the graphical reference image and the visual representation of the rendered character, the user evaluation identifying one or more differences between the graphical reference image produced by the source known to produce correct images and the rendered character produced by the text rendering engine to be tested, and to store the user evaluation in a database for subsequent debugging of the text rendering engine. 13. The system of claim 11 further comprising: a first rendering engine to draw the rendered character; and a second rendering engine to presenting an indexing aid, the graphical reference image and a second rendered character on the bitmapped display screen. | 0.687952 |
7,904,450 | 1 | 2 | 1. A computer implemented method of scoring a plurality of documents, comprising: identifying a plurality of linked documents; identifying linking documents that link to the linked documents; determining a score for each of the linked documents based on scores of the linking documents that link to the linked document; and processing the linked document according to the determined scores; wherein the improvement comprises: generating a first integrity verification code (IVC) for each of the linked documents; identifying at least one set of duplicates, using the generated IVCs, wherein identifying a set of duplicates comprises: comparing at least a first portion of the first IVC for the first document with a corresponding portion of the first IVC for a second document; and responsive to identifying a match between the compared IVC portions, performing a second comparison; and for a first linked document in the set of duplicates, determining a date for the first linked document, wherein determining a date comprises: searching a closed document dating list (DDL) edition, in a plurality of chained DDL editions, for a match with the first IVC for the first linked document; for the first linked document, adjusting at least one search result list generation parameter selected from the list consisting of: the score, and a ranking of the document in a search result list; wherein adjusting the parameter comprises increasing or decreasing the parameter based on the date of the first document. | 1. A computer implemented method of scoring a plurality of documents, comprising: identifying a plurality of linked documents; identifying linking documents that link to the linked documents; determining a score for each of the linked documents based on scores of the linking documents that link to the linked document; and processing the linked document according to the determined scores; wherein the improvement comprises: generating a first integrity verification code (IVC) for each of the linked documents; identifying at least one set of duplicates, using the generated IVCs, wherein identifying a set of duplicates comprises: comparing at least a first portion of the first IVC for the first document with a corresponding portion of the first IVC for a second document; and responsive to identifying a match between the compared IVC portions, performing a second comparison; and for a first linked document in the set of duplicates, determining a date for the first linked document, wherein determining a date comprises: searching a closed document dating list (DDL) edition, in a plurality of chained DDL editions, for a match with the first IVC for the first linked document; for the first linked document, adjusting at least one search result list generation parameter selected from the list consisting of: the score, and a ranking of the document in a search result list; wherein adjusting the parameter comprises increasing or decreasing the parameter based on the date of the first document. 2. The method of claim 1 further comprising: submitting at least one of the generated IVCs to a DDL. | 0.879227 |
7,979,448 | 1 | 2 | 1. A method of providing data to an application, comprising the steps of: providing a mailfile stored on a server, of documents having a section and fields; receiving a request from an application running on a user workstation different from said server, for one of said documents; retrieving said fields of said one of said documents from said mailfile; in response to said fields, retrieving said one of said documents as a markup language document; inserting at said server, a URL into said markup language document to retrieve said section of said one of said documents; retrieving at said server, said section from said mailfile in said markup language; removing at said server, said URL from the retrieved document and creating an object having said section expanded in the retrieved document; and sending said object to said application. | 1. A method of providing data to an application, comprising the steps of: providing a mailfile stored on a server, of documents having a section and fields; receiving a request from an application running on a user workstation different from said server, for one of said documents; retrieving said fields of said one of said documents from said mailfile; in response to said fields, retrieving said one of said documents as a markup language document; inserting at said server, a URL into said markup language document to retrieve said section of said one of said documents; retrieving at said server, said section from said mailfile in said markup language; removing at said server, said URL from the retrieved document and creating an object having said section expanded in the retrieved document; and sending said object to said application. 2. The method of claim 1 , wherein said fields are retrieved as an XML document. | 0.619048 |
8,655,901 | 8 | 9 | 8. A system comprising: one or more processors configured to interact with a computer-readable medium in order to perform operations comprising: receiving a first query pattern, the query pattern identifying a particular rule to interpret a particular type of query, the query pattern being in a first language; identifying a collection of queries in the first language matching the query pattern by determining which queries in a query log match the query pattern; segmenting a given query among the collection into one or more tokens in the first language, wherein each token includes one or more terms from the given query; annotating each query of the collection of queries with one or more labels identifying the parts of each query, wherein annotating each query of the collection of queries with one or more labels comprises: associating each of the one or more tokens with corresponding components of the first query pattern; and annotating the one or more tokens with labels for the corresponding components of the first query pattern; translating the collection of annotated queries in the first language into a translated collection of queries in a second language; and extracting a translated query pattern from the translated collection of queries, wherein for the given one of the plurality of queries, extracting a translated query pattern from the translated collection of queries comprises: determining, from an order in which the one or more tokens into which the given query was segmented in the first language are translated into the second language, an order in which labels for the components of the first query pattern correspond to translated terms of the given query; and extracting the translated query pattern from the order in which labels for the components of the first query pattern correspond to the translated terms of the given query pattern. | 8. A system comprising: one or more processors configured to interact with a computer-readable medium in order to perform operations comprising: receiving a first query pattern, the query pattern identifying a particular rule to interpret a particular type of query, the query pattern being in a first language; identifying a collection of queries in the first language matching the query pattern by determining which queries in a query log match the query pattern; segmenting a given query among the collection into one or more tokens in the first language, wherein each token includes one or more terms from the given query; annotating each query of the collection of queries with one or more labels identifying the parts of each query, wherein annotating each query of the collection of queries with one or more labels comprises: associating each of the one or more tokens with corresponding components of the first query pattern; and annotating the one or more tokens with labels for the corresponding components of the first query pattern; translating the collection of annotated queries in the first language into a translated collection of queries in a second language; and extracting a translated query pattern from the translated collection of queries, wherein for the given one of the plurality of queries, extracting a translated query pattern from the translated collection of queries comprises: determining, from an order in which the one or more tokens into which the given query was segmented in the first language are translated into the second language, an order in which labels for the components of the first query pattern correspond to translated terms of the given query; and extracting the translated query pattern from the order in which labels for the components of the first query pattern correspond to the translated terms of the given query pattern. 9. The system of claim 8 , further configured to perform operations comprising: using the translated query pattern to interpret received queries in the second language matching the translated query pattern. | 0.536036 |
8,589,172 | 15 | 16 | 15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: receiving data associated with a dialog between a human and a non-human automated spoken dialog service of a service provider, the data being associated with a geographic area; analyzing the data to identify trends for the geographic area to yield identified trends; comparing the identified trends for the geographic area with an average in a wider geographic area containing the geographic area, to yield a comparison; generating top trends headlines based on the identified trends and the comparison which exceed a threshold value; identifying event data for the geographic area affecting operations of the service provider and outside a control of the service provider, the event data being one of weather data and natural disaster data; and modifying the non-human automated spoken dialog service based on the top trends headlines and the event data. | 15. A computer-readable storage device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising: receiving data associated with a dialog between a human and a non-human automated spoken dialog service of a service provider, the data being associated with a geographic area; analyzing the data to identify trends for the geographic area to yield identified trends; comparing the identified trends for the geographic area with an average in a wider geographic area containing the geographic area, to yield a comparison; generating top trends headlines based on the identified trends and the comparison which exceed a threshold value; identifying event data for the geographic area affecting operations of the service provider and outside a control of the service provider, the event data being one of weather data and natural disaster data; and modifying the non-human automated spoken dialog service based on the top trends headlines and the event data. 16. The computer-readable storage device of claim 15 , wherein the modifying further comprises modifying the non-human automated spoken dialog service within the geographic area based on the top trends headlines. | 0.506977 |
8,499,197 | 10 | 15 | 10. The method of claim 9 , wherein determining the relationship between the first behavior descriptor and the second behavior descriptor comprises at least one of: determining a hierarchical relationship between the first behavior descriptor and the second behavior descriptor; and determining that a first behavior described by the first behavior descriptor depends on a second behavior described by the second behavior descriptor. | 10. The method of claim 9 , wherein determining the relationship between the first behavior descriptor and the second behavior descriptor comprises at least one of: determining a hierarchical relationship between the first behavior descriptor and the second behavior descriptor; and determining that a first behavior described by the first behavior descriptor depends on a second behavior described by the second behavior descriptor. 15. The method of claim 10 , further comprising: comparing a third behavior descriptor from the plurality of behavior descriptors to the at least one performance trace; determining a relationship between the second behavior descriptor and the third behavior descriptor including: determining a hierarchical relationship between the second behavior descriptor and the third behavior descriptor; and determining that the second behavior described by the second behavior descriptor depends on a third behavior described by the third behavior descriptor. | 0.5 |
8,539,510 | 2 | 3 | 2. The method as recited in claim 1 , wherein the capturing comprises receiving the stream of operational events, wherein the stream of operational events is pushed into the activity monitoring computer system. | 2. The method as recited in claim 1 , wherein the capturing comprises receiving the stream of operational events, wherein the stream of operational events is pushed into the activity monitoring computer system. 3. The method as recited in claim 2 , wherein the receiving comprises subscribing to the stream of operational events and wherein the receiving is performed asynchronously. | 0.5 |
7,711,740 | 1 | 7 | 1. A computer implemented system that facilitates data access comprising: a data access component that facilitates access to a data object by an application, the current configuration of the data access component provided to a developer for modification of the data access component, the data access component is instanced on multiple forms components with the developer's own class; a data access configuration component that configures the data access component, the configured data access component is employed at design-time to facilitate access to one or more data objects, wherein the data access component comprises an object that includes one or more queries, and wherein for each query, the data access component exposes a wrapped method generated by the data access configuration component by which the query is executed, wherein the wrapped method accepts parameters of a specific type that are converted to an appropriate type for the query and encapsulated in the data access component such that a developer need not know the appropriate type to specify the parameters, and wherein the data access configuration component provides a mapping between database types and common language runtime data types including the impedance mismatch of null representations such that nulls of the common language runtime data types are passed to the wrapped method for each query where they are converted to a database specific definition of null; and a processor coupled to a memory that implements the data access configuration component. | 1. A computer implemented system that facilitates data access comprising: a data access component that facilitates access to a data object by an application, the current configuration of the data access component provided to a developer for modification of the data access component, the data access component is instanced on multiple forms components with the developer's own class; a data access configuration component that configures the data access component, the configured data access component is employed at design-time to facilitate access to one or more data objects, wherein the data access component comprises an object that includes one or more queries, and wherein for each query, the data access component exposes a wrapped method generated by the data access configuration component by which the query is executed, wherein the wrapped method accepts parameters of a specific type that are converted to an appropriate type for the query and encapsulated in the data access component such that a developer need not know the appropriate type to specify the parameters, and wherein the data access configuration component provides a mapping between database types and common language runtime data types including the impedance mismatch of null representations such that nulls of the common language runtime data types are passed to the wrapped method for each query where they are converted to a database specific definition of null; and a processor coupled to a memory that implements the data access configuration component. 7. The system of claim 1 , the data access configuration component configures the data access component with a strongly typedwherein the wrapped method is used to fill a data table associated with the data object. | 0.5 |
9,159,316 | 1 | 2 | 1. A computer-implemented method, comprising: receiving, by a computing system and as having been transmitted by a first computing device, a textual search query that was specified by user input at the first computing device, the textual search query including a textual search term; causing, by the computing system and as a result of having received the textual search query, search results that correspond to the textual search query to be generated through a search that uses the textual search query and provided for receipt and presentation by the first computing device; determining, by the computing system and as a result of having received the textual search query, whether the textual search term exists in a dictionary of terms for a speech recognition system; adding, by the computing system and as a result of determining that the textual search term is not in the dictionary of terms for the speech recognition system and as a result of having received the textual search query, the textual search term to the dictionary of terms for the speech recognition system due to inclusion of the textual search term in the textual search query, in order to generate an updated dictionary of terms for the speech recognition system; identifying, by the computing system, acoustic model data for the textual search term; and providing, by the computing system, the acoustic model data for the textual search and the updated dictionary of terms for the speech recognition system for use in a verbal translation that includes: receiving a verbal query that was specified by user input at another computing device and that includes a verbal representation of the textual search term, and translating, using the acoustic model data for the textual search term and the updated dictionary of terms for the speech recognition system, the verbal query into a textual representation of the verbal query, the textual representation of the verbal query including the textual search term. | 1. A computer-implemented method, comprising: receiving, by a computing system and as having been transmitted by a first computing device, a textual search query that was specified by user input at the first computing device, the textual search query including a textual search term; causing, by the computing system and as a result of having received the textual search query, search results that correspond to the textual search query to be generated through a search that uses the textual search query and provided for receipt and presentation by the first computing device; determining, by the computing system and as a result of having received the textual search query, whether the textual search term exists in a dictionary of terms for a speech recognition system; adding, by the computing system and as a result of determining that the textual search term is not in the dictionary of terms for the speech recognition system and as a result of having received the textual search query, the textual search term to the dictionary of terms for the speech recognition system due to inclusion of the textual search term in the textual search query, in order to generate an updated dictionary of terms for the speech recognition system; identifying, by the computing system, acoustic model data for the textual search term; and providing, by the computing system, the acoustic model data for the textual search and the updated dictionary of terms for the speech recognition system for use in a verbal translation that includes: receiving a verbal query that was specified by user input at another computing device and that includes a verbal representation of the textual search term, and translating, using the acoustic model data for the textual search term and the updated dictionary of terms for the speech recognition system, the verbal query into a textual representation of the verbal query, the textual representation of the verbal query including the textual search term. 2. The computer-implemented method of claim 1 , wherein determining whether the textual search term exists in the dictionary of terms for the speech recognition system includes splitting the textual search term into multiple textual search terms and determining whether each of the multiple textual search terms exists in the dictionary of terms. | 0.87554 |
9,015,549 | 1 | 9 | 1. A method comprising: performing a first iteration of an inner code word error correction process including: determining if an inner code can correct errors in a first selected inner code word of multiple inner code words; when the inner code can correct the first selected inner code word, performing an inner code error correction on the first selected inner code word; repeating the inner code word error correction process for another selected inner code word of the multiple inner code words; performing a first iteration of an outer code word error correction process when there are uncorrected inner code words, including: determining if an outer code can correct errors in a first selected outer code word of multiple outer code words wherein each symbol included in one of the inner code words is also included in one of the outer code words; when the outer code can correct the first selected outer code word, performing an outer code error correction on the first selected outer code; repeating the outer code word error correction process for another selected outer code word of the multiple outer code words; and performing a second iteration of the inner code word error correction process when there are uncorrected outer code words. | 1. A method comprising: performing a first iteration of an inner code word error correction process including: determining if an inner code can correct errors in a first selected inner code word of multiple inner code words; when the inner code can correct the first selected inner code word, performing an inner code error correction on the first selected inner code word; repeating the inner code word error correction process for another selected inner code word of the multiple inner code words; performing a first iteration of an outer code word error correction process when there are uncorrected inner code words, including: determining if an outer code can correct errors in a first selected outer code word of multiple outer code words wherein each symbol included in one of the inner code words is also included in one of the outer code words; when the outer code can correct the first selected outer code word, performing an outer code error correction on the first selected outer code; repeating the outer code word error correction process for another selected outer code word of the multiple outer code words; and performing a second iteration of the inner code word error correction process when there are uncorrected outer code words. 9. The method of claim 1 , further comprising when the inner code cannot correct errors in the first selected inner code word, then initiating the outer code word error correction process without performing an inner code error correction on the first selected inner code word. | 0.547541 |
8,010,938 | 2 | 3 | 2. A method as claimed in claim 1 wherein the target domain is a computer programming model; and the pattern meta-class is a meta-class in an object-oriented model. | 2. A method as claimed in claim 1 wherein the target domain is a computer programming model; and the pattern meta-class is a meta-class in an object-oriented model. 3. A method as claimed in claim 2 wherein the step of defining pattern roles as properties of the pattern meta-class and thus meta-properties is instead of defining the pattern roles as meta-objects. | 0.5 |
8,508,489 | 26 | 27 | 26. The method of claim 21 wherein said displayed visual feedback is text. | 26. The method of claim 21 wherein said displayed visual feedback is text. 27. The method of claim 26 wherein said text comprises a list of selectable items, at least one selectable item in said list being a text representation of the converted handwritten input. | 0.5 |
8,133,121 | 16 | 21 | 16. An electronic game table stacking component, comprising: a table list sub-component and a player information sub-component; said table list sub-component including a grid for displaying a plurality of categories of information about a plurality of game tables opened by a player; said player information sub-component including information about a plurality of players at a selected one of said plurality of game tables; wherein said table list sub-component includes an indicator for said selected one of said plurality of game tables; and wherein said stacking component includes an indicator notifying said player of tables for which action is needed and displaying a relative priority for said tables. | 16. An electronic game table stacking component, comprising: a table list sub-component and a player information sub-component; said table list sub-component including a grid for displaying a plurality of categories of information about a plurality of game tables opened by a player; said player information sub-component including information about a plurality of players at a selected one of said plurality of game tables; wherein said table list sub-component includes an indicator for said selected one of said plurality of game tables; and wherein said stacking component includes an indicator notifying said player of tables for which action is needed and displaying a relative priority for said tables. 21. An electronic game table stacking component according to claim 16 , wherein said plurality of categories of information displayed in said table list sub-component includes a plurality of: number of players seated; type of game being played; stakes involved; player's position in the hand; time remaining to act; hole cards; and community cards. | 0.5 |
8,291,509 | 15 | 16 | 15. The computer program product of claim 14 embodied on the non-transitory computer-readable medium further comprising executable code that, when executed, causes the data processing engine to generate an identity query token using an encrypted constant selected by the data analyst and the secret key input by the data owner and compute the identity query token. | 15. The computer program product of claim 14 embodied on the non-transitory computer-readable medium further comprising executable code that, when executed, causes the data processing engine to generate an identity query token using an encrypted constant selected by the data analyst and the secret key input by the data owner and compute the identity query token. 16. The computer program product of claim 15 embodied on the non-transitory computer-readable medium further comprising executable code that, when executed, causes the data processing engine to analyze the data by comparing the identity query token with each of the encrypted identities. | 0.5 |
9,142,219 | 1 | 11 | 1. A method comprising: receiving, by a computing device, an acoustic input signal at a speech recognizer; identifying, by the computing device, a user that is speaking based on the acoustic input signal; recognizing, by the computing device via the speech recognizer, speech uttered by the user in the acoustic input signal; determining, by the computing device, speaker-specific information previously stored for the user; determining, by the computing device, a set of potential responses based on the recognized speech and the speaker-specific information for the user; ranking, by the computing device, the set of potential responses based on one or more criteria and the speaker-specific information; determining, by the computing device for each response in the set of potential responses, whether the response should be output or should not be output based on the response's ranking; and if the response should be output: selecting, by the computing device from among a plurality of preconfigured output methods, an output method for outputting the response to the user, the selecting being based on the response's ranking; and outputting, by the computing device, the response to the user using the selected output method. | 1. A method comprising: receiving, by a computing device, an acoustic input signal at a speech recognizer; identifying, by the computing device, a user that is speaking based on the acoustic input signal; recognizing, by the computing device via the speech recognizer, speech uttered by the user in the acoustic input signal; determining, by the computing device, speaker-specific information previously stored for the user; determining, by the computing device, a set of potential responses based on the recognized speech and the speaker-specific information for the user; ranking, by the computing device, the set of potential responses based on one or more criteria and the speaker-specific information; determining, by the computing device for each response in the set of potential responses, whether the response should be output or should not be output based on the response's ranking; and if the response should be output: selecting, by the computing device from among a plurality of preconfigured output methods, an output method for outputting the response to the user, the selecting being based on the response's ranking; and outputting, by the computing device, the response to the user using the selected output method. 11. The method of claim 1 further comprising training the speech recognizer to recognize different users' speech signatures. | 0.853774 |
9,251,129 | 1 | 15 | 1. A method for a using at least one processor to provide a graphical user interface that enables the creation of a new electronic document using at least a portion of one or more existing electronic medical documents, the new electronic medical document including material describing an encounter between a patient and a medical service provider, the method comprising: adding to the new electronic medical document text resulting from performing speech-to-text processing on input speech of the medical service provider describing the encounter between the patient and the medical service provider; receiving a query identifying one or more search parameters via the graphical user interface; retrieving the one or more existing electronic medical documents in response to determining that the one or more existing electronic medical documents satisfy the one or more search parameters identified in the query; displaying on a computer display, a list of medical document sections and, associated with each one section of the medical document sections of the list, a title of the one section and one or more excerpts each comprising text that was included in the one section in at least one of the one or more existing electronic medical documents, wherein the medical document sections included in the list include a first section, wherein the one or more excerpts included in the first section include a first excerpt and a second excerpt that were included in the first section in a first existing electronic medical document of the one or more existing electronic medical documents, and wherein the text of each of the first ant second excerpts is less than all text included in the first section in the first existing electronic medical document; for each of the displayed excerpts, displaying at least one corresponding indicator on the computer display, each displayed indicator including information indicating whether the indicator is in a selected state or an unselected state; enabling a user to operate the graphical user interface so as to selectively alter the states of the displayed indicators; and for each one section of the list of medical document sections and for each one of at least one displayed excerpt, of the one section, for which the user has a put a corresponding indicator in the selected state, copying text of the one displayed excerpt into a medical document section of the new electronic medical document corresponding to the one section. | 1. A method for a using at least one processor to provide a graphical user interface that enables the creation of a new electronic document using at least a portion of one or more existing electronic medical documents, the new electronic medical document including material describing an encounter between a patient and a medical service provider, the method comprising: adding to the new electronic medical document text resulting from performing speech-to-text processing on input speech of the medical service provider describing the encounter between the patient and the medical service provider; receiving a query identifying one or more search parameters via the graphical user interface; retrieving the one or more existing electronic medical documents in response to determining that the one or more existing electronic medical documents satisfy the one or more search parameters identified in the query; displaying on a computer display, a list of medical document sections and, associated with each one section of the medical document sections of the list, a title of the one section and one or more excerpts each comprising text that was included in the one section in at least one of the one or more existing electronic medical documents, wherein the medical document sections included in the list include a first section, wherein the one or more excerpts included in the first section include a first excerpt and a second excerpt that were included in the first section in a first existing electronic medical document of the one or more existing electronic medical documents, and wherein the text of each of the first ant second excerpts is less than all text included in the first section in the first existing electronic medical document; for each of the displayed excerpts, displaying at least one corresponding indicator on the computer display, each displayed indicator including information indicating whether the indicator is in a selected state or an unselected state; enabling a user to operate the graphical user interface so as to selectively alter the states of the displayed indicators; and for each one section of the list of medical document sections and for each one of at least one displayed excerpt, of the one section, for which the user has a put a corresponding indicator in the selected state, copying text of the one displayed excerpt into a medical document section of the new electronic medical document corresponding to the one section. 15. The method of claim 1 , wherein the first excerpt and the second excerpt are paragraphs that were included in the first section in the first existing electronic medical document. | 0.811203 |
8,108,899 | 1 | 6 | 1. A method for creating a data structure in a storage medium that is used to organize programming information, the method comprising: forming data fields in the storage medium to hold programming information pertaining to a video content program, some of the data fields holding text-based data; adding a target specification which references a target resource containing data that supports interactive functionality with respect to the video content program by forming a separate data field to hold the target specification for the video content program, the target resource comprising: a definition of supplemental content, including: an extension attribute “background” for use with an HTML tag “BODY” to specify a URL for an image tile; an extension attribute “dynsrc” for use with an HTML tag “IMG” to specify an address of a video clip; an extension attribute “usedefault” for use with an HTML tag “FRAMESET” to determine where a focus is located in a user interface; an HTML tag “ACTION” to control update or display of sound or picture; an HTML tag “TRIGGER” to define when events of the HTML tag “ACTION” are to occur; and an HTML tag “EVENT” to associate the HTML tags “ACTION” and “TRIGGER”; and layout instructions, for processing by a viewer computing unit, that define a display layout prescribing how the supplemental content and the video content program are to appear in relation to one another when displayed; and organizing the data structure to comprise the data fields, the data structure being periodically broadcasted to the viewer computing unit. | 1. A method for creating a data structure in a storage medium that is used to organize programming information, the method comprising: forming data fields in the storage medium to hold programming information pertaining to a video content program, some of the data fields holding text-based data; adding a target specification which references a target resource containing data that supports interactive functionality with respect to the video content program by forming a separate data field to hold the target specification for the video content program, the target resource comprising: a definition of supplemental content, including: an extension attribute “background” for use with an HTML tag “BODY” to specify a URL for an image tile; an extension attribute “dynsrc” for use with an HTML tag “IMG” to specify an address of a video clip; an extension attribute “usedefault” for use with an HTML tag “FRAMESET” to determine where a focus is located in a user interface; an HTML tag “ACTION” to control update or display of sound or picture; an HTML tag “TRIGGER” to define when events of the HTML tag “ACTION” are to occur; and an HTML tag “EVENT” to associate the HTML tags “ACTION” and “TRIGGER”; and layout instructions, for processing by a viewer computing unit, that define a display layout prescribing how the supplemental content and the video content program are to appear in relation to one another when displayed; and organizing the data structure to comprise the data fields, the data structure being periodically broadcasted to the viewer computing unit. 6. A method as recited in claim 1 , wherein the target specification is configured to cause dynamic launching of an Internet browser for activating the target resource. | 0.755814 |
10,162,337 | 4 | 5 | 4. The method of claim 1 , wherein determining that the response includes the command for the spectrum GUI regarding the specific CAD-tool functionality further comprises determining that the response is missing information and displaying to the user a prompt for missing information. | 4. The method of claim 1 , wherein determining that the response includes the command for the spectrum GUI regarding the specific CAD-tool functionality further comprises determining that the response is missing information and displaying to the user a prompt for missing information. 5. The method of claim 4 further comprising automatedly receiving, via the computing device, a response from the user to the prompt for missing information. | 0.5 |
9,946,511 | 1 | 2 | 1. A method for user training of an information dialogue system being at least partially implemented on a computing device, the method comprising: activating a user input subsystem associated with the computing device, the user input subsystem including at least one of a voice record and recognition component and a keyboard; receiving, by the user input subsystem, a training request, the training request being entered by a user via at least one of the voice record and recognition component and the keyboard associated with the computing device, wherein the training request includes instructions to personalize a response of the information dialog system to a request synonym, wherein the training request further includes a user request and instructions to associate, by the information dialogue system, the user request comprising at least one word with a sequence of actions to be performed by the information dialogue system, wherein at least one of the actions includes accessing a website; converting, by the user input subsystem, the training request of the user into a first text; sending the first text of the training request obtained as a result of the converting to a dialogue module associated with the computing device; processing, by the dialogue module, the first text of the training request; forming and sending, by the dialogue module, a confirmation request to the user; providing the confirmation request to the user, wherein the providing the confirmation request includes displaying the confirmation request or reproducing the confirmation request; receiving, by the user input subsystem, a response to the confirmation request, the response to the confirmation request being entered by the user: converting, by the user input subsystem, the response to the confirmation request into a second text; sending the second text of the response to the confirmation request to the dialogue module; processing, by the dialogue module, the second text of the response to the confirmation request; confirming that the training request and the response to the confirmation request are accepted by the information dialogue system; determining, by the dialogue module, whether the training request conflicts with preliminary settings of the information dialogue system; based on the determining that the training request conflicts with the preliminary settings, modifying, by the dialogue module, the preliminary settings to avoid conflicting the training request; forming, by the dialogue module, a response to the training request, wherein the response to the training request is formed as a command executed by the user input subsystem and one or more of the following: a voice cue and a response text, the command executed by the user input subsystem being based on the instructions and including associating the user request with the sequence of actions, the response being personalized based on the instructions, wherein the personalizing includes establishing the request synonym for the one or more of the voice cue, the response text, and the action; sending the response to the training request to the user; automatic activating the user input subsystem after the response to the training request is sent to the user; receiving, by the user input subsystem, the user request from the user, wherein the user request is entered by the user via at least one of the voice record and recognition component and the keyboard; converting, by the user input subsystem, the user request into a third text and sending the third text to the dialogue module; processing, by the dialogue module, the third text; and based on the processing of the third text, sequentially performing, by the information dialogue system, the sequence of actions based on the instructions of the training request, wherein the at least one of the actions includes accessing, by the computing device the website. | 1. A method for user training of an information dialogue system being at least partially implemented on a computing device, the method comprising: activating a user input subsystem associated with the computing device, the user input subsystem including at least one of a voice record and recognition component and a keyboard; receiving, by the user input subsystem, a training request, the training request being entered by a user via at least one of the voice record and recognition component and the keyboard associated with the computing device, wherein the training request includes instructions to personalize a response of the information dialog system to a request synonym, wherein the training request further includes a user request and instructions to associate, by the information dialogue system, the user request comprising at least one word with a sequence of actions to be performed by the information dialogue system, wherein at least one of the actions includes accessing a website; converting, by the user input subsystem, the training request of the user into a first text; sending the first text of the training request obtained as a result of the converting to a dialogue module associated with the computing device; processing, by the dialogue module, the first text of the training request; forming and sending, by the dialogue module, a confirmation request to the user; providing the confirmation request to the user, wherein the providing the confirmation request includes displaying the confirmation request or reproducing the confirmation request; receiving, by the user input subsystem, a response to the confirmation request, the response to the confirmation request being entered by the user: converting, by the user input subsystem, the response to the confirmation request into a second text; sending the second text of the response to the confirmation request to the dialogue module; processing, by the dialogue module, the second text of the response to the confirmation request; confirming that the training request and the response to the confirmation request are accepted by the information dialogue system; determining, by the dialogue module, whether the training request conflicts with preliminary settings of the information dialogue system; based on the determining that the training request conflicts with the preliminary settings, modifying, by the dialogue module, the preliminary settings to avoid conflicting the training request; forming, by the dialogue module, a response to the training request, wherein the response to the training request is formed as a command executed by the user input subsystem and one or more of the following: a voice cue and a response text, the command executed by the user input subsystem being based on the instructions and including associating the user request with the sequence of actions, the response being personalized based on the instructions, wherein the personalizing includes establishing the request synonym for the one or more of the voice cue, the response text, and the action; sending the response to the training request to the user; automatic activating the user input subsystem after the response to the training request is sent to the user; receiving, by the user input subsystem, the user request from the user, wherein the user request is entered by the user via at least one of the voice record and recognition component and the keyboard; converting, by the user input subsystem, the user request into a third text and sending the third text to the dialogue module; processing, by the dialogue module, the third text; and based on the processing of the third text, sequentially performing, by the information dialogue system, the sequence of actions based on the instructions of the training request, wherein the at least one of the actions includes accessing, by the computing device the website. 2. The method of claim 1 , further comprising, after the sending the response to the training request, providing the response to the training request, wherein the providing the response to the training request includes one or more of the following: displaying the response to the training request and reproducing the response to the training request. | 0.816754 |
9,342,286 | 1 | 6 | 1. A method, comprising: identifying via a processor at least one action as a predetermined command of a first computer operating language; identifying at least one event in a next generation language data file corresponding to the predetermined command, wherein the next generation language is a different computer operating language than the first computer operating language; mapping the predetermined command of the first computer operating language to a corresponding protocol command of the next generation computer operating language via the at least one identified event; creating a translation data file comprising at least one state that identifies the predetermined command and the at least one event corresponding to the at least one action; parsing information comprising at least one character string from the at least one action; storing the parsed information in the translation data file; and executing the corresponding protocol command when the at least one event matches the predetermined command. | 1. A method, comprising: identifying via a processor at least one action as a predetermined command of a first computer operating language; identifying at least one event in a next generation language data file corresponding to the predetermined command, wherein the next generation language is a different computer operating language than the first computer operating language; mapping the predetermined command of the first computer operating language to a corresponding protocol command of the next generation computer operating language via the at least one identified event; creating a translation data file comprising at least one state that identifies the predetermined command and the at least one event corresponding to the at least one action; parsing information comprising at least one character string from the at least one action; storing the parsed information in the translation data file; and executing the corresponding protocol command when the at least one event matches the predetermined command. 6. The method of claim 1 , wherein a format attribute of the at least one event is compared to the predetermined command to identify whether there is a match. | 0.82287 |
9,071,623 | 1 | 12 | 1. A method implemented in computer-executable instructions that, when executed by a computer processor, satisfies a request by a second client computing device to open a file that is open by a first client computing device, the method comprising: on a server computing device, retrieving from a file server and caching in memory on the server computing device file data associated with a file requested to be opened by the first client computing device; transmitting to the first client computing device the file data associated with the file requested to be opened; transmitting the file data to the second client computing device in response to a request by the second client computing device to open the file; notifying the first client computing device that the file is concurrently opened by more than one client computing device; obtaining any previously uncommitted transactions from the first client computing device, wherein a transaction is a code fragment that semantically describes an update to the file data implemented on the first client computing device, and wherein the transaction does not include all of the file data; notifying the second client computing device that the file is concurrently opened by more than one client computing device; and propagating any uncommitted transactions obtained from the first client computing device to the second client computing device, the transactions configured to allow the version of the file on the second client computing device to be updated with the updates to the file data implemented on the first client computing device before the file was opened by the second client computing device. | 1. A method implemented in computer-executable instructions that, when executed by a computer processor, satisfies a request by a second client computing device to open a file that is open by a first client computing device, the method comprising: on a server computing device, retrieving from a file server and caching in memory on the server computing device file data associated with a file requested to be opened by the first client computing device; transmitting to the first client computing device the file data associated with the file requested to be opened; transmitting the file data to the second client computing device in response to a request by the second client computing device to open the file; notifying the first client computing device that the file is concurrently opened by more than one client computing device; obtaining any previously uncommitted transactions from the first client computing device, wherein a transaction is a code fragment that semantically describes an update to the file data implemented on the first client computing device, and wherein the transaction does not include all of the file data; notifying the second client computing device that the file is concurrently opened by more than one client computing device; and propagating any uncommitted transactions obtained from the first client computing device to the second client computing device, the transactions configured to allow the version of the file on the second client computing device to be updated with the updates to the file data implemented on the first client computing device before the file was opened by the second client computing device. 12. The method as recited in claim 1 , wherein the previously uncommitted transactions are created and stored by a transaction manager of the first client computing device. | 0.872404 |
8,108,794 | 16 | 17 | 16. The non-transitory computer-readable medium of claim 12 , wherein a phrase on the list is considered to be related to a single data object on the back-end server if that phrase was found only once for a data object type. | 16. The non-transitory computer-readable medium of claim 12 , wherein a phrase on the list is considered to be related to a single data object on the back-end server if that phrase was found only once for a data object type. 17. The non-transitory computer-readable medium of claim 16 , wherein a previous token is on this waiting list if that previous token was found more than once for that data object type and any tokens between that previous token and the token just added to the list were found more than once for that data object type. | 0.5 |
5,561,421 | 82 | 83 | 82. A system as defined in claim 81, wherein the set of predetermined fixed sizes comprises 512, 1K, 2K, 4K, and 8K dictionary entries. | 82. A system as defined in claim 81, wherein the set of predetermined fixed sizes comprises 512, 1K, 2K, 4K, and 8K dictionary entries. 83. A system as defined in claim 82, wherein the means for discarding adds padding dictionary segments to the system-built dictionary, if the actual number of entries of the dictionary is less than the selected fixed size, such that the size of the resulting system-built dictionary is equal to the selected fixed size. | 0.5 |
8,145,678 | 1 | 4 | 1. A method of providing information to one or more users of an enterprise-based social networking computing environment comprising: generating an informational feed that includes enterprise-based system-generated events associated with one or more users of interest of the enterprise-based social networking computing environment based in part on an organizational context of an enterprise to generate the enterprise-based system-generated events; providing a comment to an enterprise-based system-generated event associated with a defined user of interest; updating the informational feed to delineate the comment interleaved with the enterprise-based system-generated events to display comment information as part of the informational feed; and, providing an updated informational feed including the comment information to a tracking user and automatically adding a commenting user associated with the comment to a tracking list of the tracking user without requiring mutual collaboration in order for the commenting user to be included in the tracking list of the tracking user. | 1. A method of providing information to one or more users of an enterprise-based social networking computing environment comprising: generating an informational feed that includes enterprise-based system-generated events associated with one or more users of interest of the enterprise-based social networking computing environment based in part on an organizational context of an enterprise to generate the enterprise-based system-generated events; providing a comment to an enterprise-based system-generated event associated with a defined user of interest; updating the informational feed to delineate the comment interleaved with the enterprise-based system-generated events to display comment information as part of the informational feed; and, providing an updated informational feed including the comment information to a tracking user and automatically adding a commenting user associated with the comment to a tracking list of the tracking user without requiring mutual collaboration in order for the commenting user to be included in the tracking list of the tracking user. 4. The method of claim 1 , further comprising generating a message to inform the tracking user of one or more comments. | 0.905705 |
8,027,973 | 15 | 16 | 15. A computing device for determining the relevance of questions related to a queried question, comprising: a data store storing a collection of questions, each question having a topic of one or more terms and a focus of one or more terms; a memory storing computer-executable instructions of: a first component that receives a queried question having terms; a second component that identifies a queried topic and a queried focus of the queried question; and a third component that, for each of a plurality of questions of the collection, generates a score indicating the relevance of the question to the queried question using a language model of the topic of the question and a language model of the focus of the question; and a processor that executes the computer-executable instructions stored in the memory. | 15. A computing device for determining the relevance of questions related to a queried question, comprising: a data store storing a collection of questions, each question having a topic of one or more terms and a focus of one or more terms; a memory storing computer-executable instructions of: a first component that receives a queried question having terms; a second component that identifies a queried topic and a queried focus of the queried question; and a third component that, for each of a plurality of questions of the collection, generates a score indicating the relevance of the question to the queried question using a language model of the topic of the question and a language model of the focus of the question; and a processor that executes the computer-executable instructions stored in the memory. 16. The computing device of claim 15 wherein each question in the collection has an associated answer and wherein a component selects as answers to the queried question answers to the questions with the highest generated scores. | 0.540323 |
9,824,084 | 1 | 13 | 1. A computer-implemented method of processing a first text stream for execution by a processor, the method comprising: accessing, from a non-transitory computer-readable medium, the first text stream; parsing the first text stream by breaking the first text stream down into a first collection of words; analysing the first collection of words to identify a homonym candidate, the homonym candidate being associated with a first meaning and a second meaning; generating a homonym word pattern, the homonym word pattern comprising at least one word of the first collection of words, the at least one word being selected based on a distance between the at least one word and the homonym candidate in the first text stream, the distance being a number of words separating the at least one word of the first collection of words from the homonym candidate in the first text stream; determining, for at least one word of the homonym word pattern, a first context element; generating a homonym context pattern, the homonym context pattern being at least partially based on the first context element; parsing a second text stream by breaking the second text stream down into a second collection of words, the second collection of words being distinct from the first collection of words, the second text stream being in a same language as the first text stream; analysing the second collection of words to identify a non-homonym candidate, the non-homonym candidate being associated with a lexical tag; if a non-homonym context pattern at least partially matches the homonym context pattern, the non-homonym context pattern being at least partially based on a second context element determined for at least one word of a non-homonym word pattern, assigning the lexical tag associated with the non-homonym candidate to the homonym candidate; storing, to a memory coupled to the processor, the lexical tag; and rendering the lexical tag on a display of an electronic device. | 1. A computer-implemented method of processing a first text stream for execution by a processor, the method comprising: accessing, from a non-transitory computer-readable medium, the first text stream; parsing the first text stream by breaking the first text stream down into a first collection of words; analysing the first collection of words to identify a homonym candidate, the homonym candidate being associated with a first meaning and a second meaning; generating a homonym word pattern, the homonym word pattern comprising at least one word of the first collection of words, the at least one word being selected based on a distance between the at least one word and the homonym candidate in the first text stream, the distance being a number of words separating the at least one word of the first collection of words from the homonym candidate in the first text stream; determining, for at least one word of the homonym word pattern, a first context element; generating a homonym context pattern, the homonym context pattern being at least partially based on the first context element; parsing a second text stream by breaking the second text stream down into a second collection of words, the second collection of words being distinct from the first collection of words, the second text stream being in a same language as the first text stream; analysing the second collection of words to identify a non-homonym candidate, the non-homonym candidate being associated with a lexical tag; if a non-homonym context pattern at least partially matches the homonym context pattern, the non-homonym context pattern being at least partially based on a second context element determined for at least one word of a non-homonym word pattern, assigning the lexical tag associated with the non-homonym candidate to the homonym candidate; storing, to a memory coupled to the processor, the lexical tag; and rendering the lexical tag on a display of an electronic device. 13. The method of claim 1 , wherein the first text stream is a corpus of text. | 0.881459 |
6,163,776 | 2 | 3 | 2. The system of claim 1, wherein the exchange unit further comprises: an object call processing unit having inputs and outputs for receiving object calls and beginning the translation of the object calls, an input and an output of the object call processing unit coupled to the object-oriented system; a mapping unit having inputs and outputs for performing the object-relational mapping according to the object relational mapping specification in response to signals from the object call processing unit, the mapping unit having inputs coupled to the object class definition, the object relational mapping data structure, and input and outputs the object call processing unit; and a database interface unit having inputs and outputs, for retrieving and storing data in the relational system, the inputs and outputs coupled to the relational system and the mapping unit. | 2. The system of claim 1, wherein the exchange unit further comprises: an object call processing unit having inputs and outputs for receiving object calls and beginning the translation of the object calls, an input and an output of the object call processing unit coupled to the object-oriented system; a mapping unit having inputs and outputs for performing the object-relational mapping according to the object relational mapping specification in response to signals from the object call processing unit, the mapping unit having inputs coupled to the object class definition, the object relational mapping data structure, and input and outputs the object call processing unit; and a database interface unit having inputs and outputs, for retrieving and storing data in the relational system, the inputs and outputs coupled to the relational system and the mapping unit. 3. The system of claim 2 wherein the object call processing unit intercepts Application Programming Interface (API) level calls for object manipulation and executes the API level calls using the mapping unit. | 0.5 |
7,546,382 | 62 | 63 | 62. The method of claim 61 , wherein the representation permits using contextual knowledge present in the application state along with the semantic meaning returned by the NLU engine to permit contextual interpretation of the user utterance. | 62. The method of claim 61 , wherein the representation permits using contextual knowledge present in the application state along with the semantic meaning returned by the NLU engine to permit contextual interpretation of the user utterance. 63. The method of claim 62 , wherein the representation permits using the contextual interpretation to decide which portion of a dialog gets traversed next and updating of the application state. | 0.5 |
8,082,143 | 11 | 18 | 11. A hardware computer readable storage medium storing computer readable instructions which, when executed by a computer cause the computer to perform a method of identifying treelet translation pairs for use in a machine translation system that translates a source language input into a target language output, the method comprising: accessing a corpus of pairs of aligned, parallel syntactic dependency structures, each pair including a source language dependency structure having nodes that represent lexical items, the nodes being aligned with nodes representing lexical items in a target language dependency structure; enumerating connected sets of source nodes in the source language dependency structure as possible source treelets; and extracting well formed treelet translation pairs from the possible source treelets and aligned portions of a corresponding target language dependency structure. | 11. A hardware computer readable storage medium storing computer readable instructions which, when executed by a computer cause the computer to perform a method of identifying treelet translation pairs for use in a machine translation system that translates a source language input into a target language output, the method comprising: accessing a corpus of pairs of aligned, parallel syntactic dependency structures, each pair including a source language dependency structure having nodes that represent lexical items, the nodes being aligned with nodes representing lexical items in a target language dependency structure; enumerating connected sets of source nodes in the source language dependency structure as possible source treelets; and extracting well formed treelet translation pairs from the possible source treelets and aligned portions of a corresponding target language dependency structure. 18. The hardware computer readable medium of claim 11 wherein extracting well formed treelet translation pairs comprises: extracting as a well formed treelet translation pair the possible source treelet and corresponding possible target treelet only if the lexical items in the possible source treelet are only aligned with lexical items in the possible target treelet and the lexical items in the possible target treelet are only aligned with lexical items in the possible source treelet. | 0.5 |
9,348,499 | 21 | 29 | 21. One or more non-transitory computer-readable media storing instructions for sharing information, which instructions, when executed by one or more processors, cause performance of steps including: at a first server of a first data system, receiving a request to send a copy of a document to a second server of a second data system; wherein the first data system comprises at least the first server and a first repository that is accessible to the first server, wherein the document comprises a reference to a first object that is stored outside of the document and within the first repository, the document further comprising one or more instructions configured to cause generation of one or more presented components of the document based on retrieving data that belongs to the first object; at the first server, based at least partially upon the retrieved data belonging to the first object, generating evidence data that describes one or more aspects of the first object; wherein the evidence data is not identical to the reference or the retrieved data; responsive to the request to send the copy of the document to the second server, the first server at the first data system sending, to the second server at the second data system, the copy of the document and the evidence data. | 21. One or more non-transitory computer-readable media storing instructions for sharing information, which instructions, when executed by one or more processors, cause performance of steps including: at a first server of a first data system, receiving a request to send a copy of a document to a second server of a second data system; wherein the first data system comprises at least the first server and a first repository that is accessible to the first server, wherein the document comprises a reference to a first object that is stored outside of the document and within the first repository, the document further comprising one or more instructions configured to cause generation of one or more presented components of the document based on retrieving data that belongs to the first object; at the first server, based at least partially upon the retrieved data belonging to the first object, generating evidence data that describes one or more aspects of the first object; wherein the evidence data is not identical to the reference or the retrieved data; responsive to the request to send the copy of the document to the second server, the first server at the first data system sending, to the second server at the second data system, the copy of the document and the evidence data. 29. The one or more non-transitory computer-readable media of claim 21 , wherein the first object represents a financial instrument, and wherein the evidence data is data describing characteristics of data stored for the financial instrument in the first repository accessible to the first data system. | 0.568571 |
10,037,381 | 1 | 3 | 1. An apparatus for searching information based on a digital reference document containing both unstructured and structured information, comprising: a processor; and a non-transitory medium containing instructions, execution of which causes the apparatus to provide: a document converting part configured to perform a plurality of processings, respectively for generating a plurality of types of documents including a fulltext document, a section title document, an info-box document, a category document and a definition statement document, on the digital reference document, to thereby dissect the structured information of the digital reference document, each type of documents including a first field in which a unique identification of said each type of document is recorded, a second field in which a title of a page or of a hierarchical section of the digital reference document is recorded, a third field in which said each type is recorded, and a fourth field in which contents of said each type of documents are recorded; a document indexing part analyzing the fourth field of the generated documents, extracting a plurality of part-of-speech (POS)-based index terms from the fourth field of each generated document, and generating a plurality of document indices for questions and answers that are respectively a fulltext document index, a section title document index, an info-box document index, a category document index and a definition statement document index; a question analyzing part receiving a natural language question, analyzing a question pattern, an answer pattern and a question focus from the natural language question, and extracting document search keywords from the natural language question; a document searching part performing a document search, using the document search keywords, on each of the document indices for questions and answers, and generating a document search result from said each of the document indices for questions and answers; an answer extracting part extracting an intermediate answer using information about the question pattern, the answer pattern and the question focus from each of the document search result; and an answer integrating part integrating and prioritizing the intermediate answers, by assigning different weights to similar intermediate answers in accordance with specificity of each of the similar intermediate answers, wherein the more detailed similar intermediate answer receives a higher weight than a less detailed one, and correlation between a type of each natural language question and each of the plurality of types of documents, to thereby generate a final answer using both the unstructured and structured information in the digital reference document. | 1. An apparatus for searching information based on a digital reference document containing both unstructured and structured information, comprising: a processor; and a non-transitory medium containing instructions, execution of which causes the apparatus to provide: a document converting part configured to perform a plurality of processings, respectively for generating a plurality of types of documents including a fulltext document, a section title document, an info-box document, a category document and a definition statement document, on the digital reference document, to thereby dissect the structured information of the digital reference document, each type of documents including a first field in which a unique identification of said each type of document is recorded, a second field in which a title of a page or of a hierarchical section of the digital reference document is recorded, a third field in which said each type is recorded, and a fourth field in which contents of said each type of documents are recorded; a document indexing part analyzing the fourth field of the generated documents, extracting a plurality of part-of-speech (POS)-based index terms from the fourth field of each generated document, and generating a plurality of document indices for questions and answers that are respectively a fulltext document index, a section title document index, an info-box document index, a category document index and a definition statement document index; a question analyzing part receiving a natural language question, analyzing a question pattern, an answer pattern and a question focus from the natural language question, and extracting document search keywords from the natural language question; a document searching part performing a document search, using the document search keywords, on each of the document indices for questions and answers, and generating a document search result from said each of the document indices for questions and answers; an answer extracting part extracting an intermediate answer using information about the question pattern, the answer pattern and the question focus from each of the document search result; and an answer integrating part integrating and prioritizing the intermediate answers, by assigning different weights to similar intermediate answers in accordance with specificity of each of the similar intermediate answers, wherein the more detailed similar intermediate answer receives a higher weight than a less detailed one, and correlation between a type of each natural language question and each of the plurality of types of documents, to thereby generate a final answer using both the unstructured and structured information in the digital reference document. 3. The apparatus of claim 1 , wherein the answer pattern includes a pattern of answers for people, a pattern of answers for organization and a pattern of answers for location. | 0.925595 |
7,668,840 | 11 | 15 | 11. A database configuration system comprising: a plurality of processing nodes interconnected via a network to the database configuration system, each processing node having at least one processor, at least one memory, and at least one disk storage; and wherein the system is configured to: manipulate at least one processing node of a subset of the plurality of processing nodes to operate as a designated master node of a global-results processing matrix based at least in part on configuration software; manipulate at least some of the remaining processing nodes of the subset to operate as a designated slave node of the global-results processing matrix based at least in part on configuration software; manipulate at least one processing node of a subset of the plurality of processing nodes to operate as a designated master node of a second global-results processing matrix; and manipulate each processing node of the subset to operate as a designated slave node of the second global-results processing matrix. | 11. A database configuration system comprising: a plurality of processing nodes interconnected via a network to the database configuration system, each processing node having at least one processor, at least one memory, and at least one disk storage; and wherein the system is configured to: manipulate at least one processing node of a subset of the plurality of processing nodes to operate as a designated master node of a global-results processing matrix based at least in part on configuration software; manipulate at least some of the remaining processing nodes of the subset to operate as a designated slave node of the global-results processing matrix based at least in part on configuration software; manipulate at least one processing node of a subset of the plurality of processing nodes to operate as a designated master node of a second global-results processing matrix; and manipulate each processing node of the subset to operate as a designated slave node of the second global-results processing matrix. 15. The system of claim 11 , wherein the system is further configured to manipulate at least one processing node to operate as a work-unit reporting module. | 0.908879 |
7,711,755 | 6 | 9 | 6. A method for dynamic XML schema Definition (XSD) enumeration, comprising: receiving, by a computer system, a request from a validation module for XSD file data, the XSD file data for validating markup language data; determining, by the computer system, whether the requested XSD file data is contained in a cache; providing the requested XSD file data from the cache to the validation module if the requested XSD file data is contained in the cache; using a database query to dynamically retrieve from a database data values stored in one or more columns of a database table if the requested XSD file data is not contained in the cache, wherein the retrieved data values are valid values for the markup language data; dynamically generating XSD file data comprising markup language data structures generated in response to the retrieved data values, wherein the generated markup language data structures enumerate the retrieved data values as a list of valid values for the markup language data; caching the generated XSD file data; and providing, by the computer system, the cached XSD file data to the validation module. | 6. A method for dynamic XML schema Definition (XSD) enumeration, comprising: receiving, by a computer system, a request from a validation module for XSD file data, the XSD file data for validating markup language data; determining, by the computer system, whether the requested XSD file data is contained in a cache; providing the requested XSD file data from the cache to the validation module if the requested XSD file data is contained in the cache; using a database query to dynamically retrieve from a database data values stored in one or more columns of a database table if the requested XSD file data is not contained in the cache, wherein the retrieved data values are valid values for the markup language data; dynamically generating XSD file data comprising markup language data structures generated in response to the retrieved data values, wherein the generated markup language data structures enumerate the retrieved data values as a list of valid values for the markup language data; caching the generated XSD file data; and providing, by the computer system, the cached XSD file data to the validation module. 9. The method of claim 6 , wherein the database comprises a structured query language (SQL) database. | 0.564655 |
10,051,009 | 18 | 19 | 18. The non-transitory computer-readable medium of claim 15 , wherein the instructions further cause the processor to conduct, via the user agent, a process to receive from the identity manager at least one indication of the at least one information card each representative of a user identity, and to determine a privacy preference for the at least one information card. | 18. The non-transitory computer-readable medium of claim 15 , wherein the instructions further cause the processor to conduct, via the user agent, a process to receive from the identity manager at least one indication of the at least one information card each representative of a user identity, and to determine a privacy preference for the at least one information card. 19. The non-transitory computer-readable medium of claim 18 , wherein the instructions further cause the processor to cause the evaluation operation to evaluate the privacy preference of the at least one information card determined by the identity manager to satisfy the security policy requirements. | 0.5 |
8,521,505 | 14 | 15 | 14. The computer program product of claim 10 , where the computer readable program code when executed on the computer further causes the computer to compare at least two occurrence counts if at least one of two or more of the middle substrings and two or more concatenations of the prefix substrings and the middle substrings are explicit members of the reference string set. | 14. The computer program product of claim 10 , where the computer readable program code when executed on the computer further causes the computer to compare at least two occurrence counts if at least one of two or more of the middle substrings and two or more concatenations of the prefix substrings and the middle substrings are explicit members of the reference string set. 15. The computer program product of claim 14 , where the computer readable program code when executed on the computer further causes the computer to at least one of: if the occurrence count of a first respective middle substring is significantly less than the occurrence count of another middle substring being compared with the first respective middle substring, consider the first respective middle substring as being a specialized concept of the other middle substring; and if the occurrence count of the first respective middle substring is significantly greater than the occurrence count of another middle substring being compared with the first respective middle substring, consider the first respective middle substring as being a generalized concept of the other middle substring. | 0.5 |
9,282,076 | 1 | 6 | 1. A method for identifying questionable content in a proposed communication from a sender, wherein the proposed communication comprises initial content, the method comprising: receiving by a processor the initial content; receiving by the processor an identification of at least one proposed recipient; receiving, by the processor, private information associated with the proposed recipient from a source of private information about the proposed recipient; receiving, by the processor, public information associated with the proposed recipient from a source of public information about the proposed recipient; identifying by the processor, based upon the received initial content, the received private information and the received public information, at least a portion of the initial content as the questionable content; and indicating by the processor, to the sender, the identified questionable content. | 1. A method for identifying questionable content in a proposed communication from a sender, wherein the proposed communication comprises initial content, the method comprising: receiving by a processor the initial content; receiving by the processor an identification of at least one proposed recipient; receiving, by the processor, private information associated with the proposed recipient from a source of private information about the proposed recipient; receiving, by the processor, public information associated with the proposed recipient from a source of public information about the proposed recipient; identifying by the processor, based upon the received initial content, the received private information and the received public information, at least a portion of the initial content as the questionable content; and indicating by the processor, to the sender, the identified questionable content. 6. The method of claim 1 , wherein the source of public information comprises one of: (a) one or more emails sent by the proposed recipient; (b) one or more micro blogging posts sent by the proposed recipient; (c) one or more articles by the proposed recipient; (d) one or more blogs by the proposed recipient; (e) one or more books by the proposed recipient; (f) one or more social network site wall posts by the proposed recipient; or (d) any combination thereof. | 0.726148 |
7,596,578 | 7 | 10 | 7. The method of claim 1 , wherein the first command is identified as representing a request for a second opinion and the third party product or service is one of a medical product or a medical service, further comprising the step of: the third party providing the one user with a discount on the third party product or service. | 7. The method of claim 1 , wherein the first command is identified as representing a request for a second opinion and the third party product or service is one of a medical product or a medical service, further comprising the step of: the third party providing the one user with a discount on the third party product or service. 10. The method in accordance with claim 7 , wherein the discount is applied to at least one of a medical insurance premium, a drug treatment, or a medical treatment. | 0.730392 |
8,504,355 | 1 | 5 | 1. A method of resolving both semantic and syntactic ambiguity, comprising: generating, by a computer, combinations of semantic interpretation choices for each of at least two alternative syntactic parses of a natural language expression or part thereof; and selecting, by the computer, one or more best combinations from those generated for all of the alternative syntactic parses. | 1. A method of resolving both semantic and syntactic ambiguity, comprising: generating, by a computer, combinations of semantic interpretation choices for each of at least two alternative syntactic parses of a natural language expression or part thereof; and selecting, by the computer, one or more best combinations from those generated for all of the alternative syntactic parses. 5. The method of claim 1 , wherein the alternative syntactic parses participating in the disambiguation are selected by grouping alternative syntactic parses based on their current state and states in their stack. | 0.5 |
9,870,715 | 1 | 15 | 1. A computer-implemented method for assessing cybersecurity training needs, comprising: by a sensor, sensing data corresponding to at least one action performed by a user with respect to a user computing device; and by a computer system comprising a processor, executing computer-readable programming instructions that cause the computer system to: access a data storage device that stores a training needs model, map the sensed data to the training needs model to determine whether the sensed data corresponds to a pattern associated with a threat scenario in the training needs model, in response to determining that the sensed data corresponds to a pattern associated with a threat scenario in the training needs model, identify a cybersecurity threat scenario for which the user is at risk, and use the training needs model to estimate susceptibility of the user to the cybersecurity threat scenario for which the user is at risk. | 1. A computer-implemented method for assessing cybersecurity training needs, comprising: by a sensor, sensing data corresponding to at least one action performed by a user with respect to a user computing device; and by a computer system comprising a processor, executing computer-readable programming instructions that cause the computer system to: access a data storage device that stores a training needs model, map the sensed data to the training needs model to determine whether the sensed data corresponds to a pattern associated with a threat scenario in the training needs model, in response to determining that the sensed data corresponds to a pattern associated with a threat scenario in the training needs model, identify a cybersecurity threat scenario for which the user is at risk, and use the training needs model to estimate susceptibility of the user to the cybersecurity threat scenario for which the user is at risk. 15. The method of claim 1 , wherein: the sensed data comprises or more of the following additional sensed data types: files in a directory of downloaded files, location data, data from a password vulnerability sensor indicating how often the user changes a password or the strength of the password, data from a social networking sensor that crawls social networking sites and estimates a level of social networking activities in which the user engages, data from a dangerous program sensor that inspects the code of software on one or more electronic devices operated by the user, incoming and outgoing data flows from the user computing device, or behavioral characteristics associated with software running on the user computing device; and the method also comprises mapping the one or more additional sensed data types to the training needs model when determining whether the sensed data corresponds to a pattern associated with a threat scenario in the training needs model. | 0.5 |
9,507,891 | 16 | 19 | 16. A computer program product comprising a computer readable storage medium comprising computer-readable code, the computer-readable code causing a computing system, in response to executing the computer-readable code, to perform the following: running an environment for designing operation of circuitry, the running the environment comprising performing at least the following for providing simulations and evaluations of one or more user-defined modules of circuitry comprising one or more pipeline stages in a pipeline: automatically generating a model of the pipeline by using a pipeline block diagram, where the model is generated in a high-level modeling language able to perform simulations of circuitry with the pipeline; automatically generating an interface between the one or more user-defined modules and the generated model of the pipeline, the interface comprising access to the pipeline, wherein the pipeline access allows the one or more user-defined modules to interact indirectly; performing evaluation of the one or more user-defined modules using the automatically generated model of the pipeline and the automatically generated interface; and directly connecting the user-defined modules to ports allowing the one or more user-defined modules to interact directly to replace the pipeline access between the one or more user-defined modules and the generated model of the pipeline. | 16. A computer program product comprising a computer readable storage medium comprising computer-readable code, the computer-readable code causing a computing system, in response to executing the computer-readable code, to perform the following: running an environment for designing operation of circuitry, the running the environment comprising performing at least the following for providing simulations and evaluations of one or more user-defined modules of circuitry comprising one or more pipeline stages in a pipeline: automatically generating a model of the pipeline by using a pipeline block diagram, where the model is generated in a high-level modeling language able to perform simulations of circuitry with the pipeline; automatically generating an interface between the one or more user-defined modules and the generated model of the pipeline, the interface comprising access to the pipeline, wherein the pipeline access allows the one or more user-defined modules to interact indirectly; performing evaluation of the one or more user-defined modules using the automatically generated model of the pipeline and the automatically generated interface; and directly connecting the user-defined modules to ports allowing the one or more user-defined modules to interact directly to replace the pipeline access between the one or more user-defined modules and the generated model of the pipeline. 19. The computer program product of claim 16 , wherein: automatically generating a model of the pipeline further comprises automatically generating the model of the pipeline as a channel using a container class in the high-level modeling language; automatically generating an interface further comprises automatically generating the interface using an interface class in the high-level modeling language; and the high-level modeling language provides classes and a library which provide at least hardware description constructs. | 0.701019 |
9,942,180 | 1 | 2 | 1. A method for private text chatting, the method comprising: sending a request to a remote device to establish a private text chat session; receiving, based on the sending, an acceptance from the remote device accepting the request; initiating the private text chat session; closing, in response to initiating the private text chat session or, other text chat sessions; presenting, based on the receiving, a separate user interface to conduct the private text chat session; exchanging private text chat messages in association with the private text chat session based on and subsequent to the receiving and the presenting; and delaying, during the private text chat session, indications of reception of text chat messages associated with other text chat sessions. | 1. A method for private text chatting, the method comprising: sending a request to a remote device to establish a private text chat session; receiving, based on the sending, an acceptance from the remote device accepting the request; initiating the private text chat session; closing, in response to initiating the private text chat session or, other text chat sessions; presenting, based on the receiving, a separate user interface to conduct the private text chat session; exchanging private text chat messages in association with the private text chat session based on and subsequent to the receiving and the presenting; and delaying, during the private text chat session, indications of reception of text chat messages associated with other text chat sessions. 2. The method of claim 1 , further comprising displaying at least some private text chat messages without indicia of a source of the at least some private text chat messages. | 0.781407 |
8,023,974 | 9 | 10 | 9. A method of classifying text messages wirelessly received in a mobile phone, the method comprising: in a server computer, training a support vector machine using a plurality of sample text messages comprising sample spam text messages and sample legitimate text messages to generate a first support vector machine (SVM) learning model, the first SVM learning model comprising a threshold value, a feature set, and score values for features in the feature set; providing the first SVM learning model to a mobile phone; and using the first SVM learning model in the mobile phone to classify a text message in the mobile phone without converting the text message to a vector in the mobile phone. | 9. A method of classifying text messages wirelessly received in a mobile phone, the method comprising: in a server computer, training a support vector machine using a plurality of sample text messages comprising sample spam text messages and sample legitimate text messages to generate a first support vector machine (SVM) learning model, the first SVM learning model comprising a threshold value, a feature set, and score values for features in the feature set; providing the first SVM learning model to a mobile phone; and using the first SVM learning model in the mobile phone to classify a text message in the mobile phone without converting the text message to a vector in the mobile phone. 10. The method of claim 9 wherein the first SVM learning model in the mobile phone does not include support vectors generated during the training of the support vector machine in the server computer. | 0.918242 |
8,458,163 | 1 | 35 | 1. A method of indexing documents in websites, the method comprising: on a server system having one or more processors and memory storing programs to be executed by the one or more processors: storing, for each website of a multiplicity of websites, a corresponding current crawl rate limit; comparing a maximum crawl rate for a respective website over a defined period of time with the current crawl rate limit for crawling the respective website to determine if the current crawl rate limit is a limiting factor in crawling the respective website; performing a website crawling management function in accordance with the determination of whether the current crawl rate limit is the limiting factor in crawling the respective website; and providing a crawl rate control mechanism to a respective owner of the respective website, wherein the crawl rate control mechanism enables selection of a new crawl rate limit corresponding to the respective website by the respective owner. | 1. A method of indexing documents in websites, the method comprising: on a server system having one or more processors and memory storing programs to be executed by the one or more processors: storing, for each website of a multiplicity of websites, a corresponding current crawl rate limit; comparing a maximum crawl rate for a respective website over a defined period of time with the current crawl rate limit for crawling the respective website to determine if the current crawl rate limit is a limiting factor in crawling the respective website; performing a website crawling management function in accordance with the determination of whether the current crawl rate limit is the limiting factor in crawling the respective website; and providing a crawl rate control mechanism to a respective owner of the respective website, wherein the crawl rate control mechanism enables selection of a new crawl rate limit corresponding to the respective website by the respective owner. 35. The method of claim 1 , wherein storing the corresponding crawl rate limit further comprises storing a list of respective time intervals and a crawl rate limit for each time interval. | 0.754593 |
8,306,969 | 1 | 7 | 1. A computer-implemented method for providing on a display a rich media themed search results webpage, the method comprising the steps of: receiving a search query at a search engine; obtaining one or more search results from the search engine based on the search query; analyzing the search query received at the search engine; accessing one or more rich-media-theme databases storing rich-media themes that are interactive, visual backgrounds useable to enhance a display of the one or more search results; comparing the search query and the rich media themes stored in the one or more rich-media-theme databases; selecting a rich-media theme that correlates to the search query, wherein the selection of a rich-media theme is based on one or more user's device characteristics; providing a plurality of layers in which one or more components of the search results display are displayed in a top layer, and one or more components of the rich media theme are displayed in one or more background layers; and composing a search results webpage by stacking the layers to create a unified display in which at least a portion of each layer is visible through an overlying layer, the rich media theme being displayed in an ambient manner that does not obstruct a user's view of the search results display, and the rich media theme being representative of the subject matter of the search query and user's device characteristics. | 1. A computer-implemented method for providing on a display a rich media themed search results webpage, the method comprising the steps of: receiving a search query at a search engine; obtaining one or more search results from the search engine based on the search query; analyzing the search query received at the search engine; accessing one or more rich-media-theme databases storing rich-media themes that are interactive, visual backgrounds useable to enhance a display of the one or more search results; comparing the search query and the rich media themes stored in the one or more rich-media-theme databases; selecting a rich-media theme that correlates to the search query, wherein the selection of a rich-media theme is based on one or more user's device characteristics; providing a plurality of layers in which one or more components of the search results display are displayed in a top layer, and one or more components of the rich media theme are displayed in one or more background layers; and composing a search results webpage by stacking the layers to create a unified display in which at least a portion of each layer is visible through an overlying layer, the rich media theme being displayed in an ambient manner that does not obstruct a user's view of the search results display, and the rich media theme being representative of the subject matter of the search query and user's device characteristics. 7. The computer-implemented method of claim 1 , wherein at least a portion of the rich media theme is downloaded to a user's computer prior to receiving the search query. | 0.713805 |
9,619,580 | 1 | 3 | 1. A processor-implemented method for generating and utilizing synthetic context-based objects, the processor-implemented method comprising: associating, by a processor, a non-contextual data object with a context object to define a synthetic context-based object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object; wherein the specific subject-matter for a particular data store in the data structure overlaps a subject-matter of another data store in the data structure, and wherein the particular data store and said another data store are data repositories of different sets of integrated text files; associating, by the processor, the synthetic context-based object with at least one specific data store, wherein said at least one specific data store comprises data that is associated with data contained in the non-contextual data object and the context object; receiving, from a computer hardware system configured to request data, a request for data from said at least one specific data store that is associated with the synthetic context-based object; and returning, to the computer hardware system configured to request data, data from said at least one specific data store that is associated with the synthetic context-based object. | 1. A processor-implemented method for generating and utilizing synthetic context-based objects, the processor-implemented method comprising: associating, by a processor, a non-contextual data object with a context object to define a synthetic context-based object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object; wherein the specific subject-matter for a particular data store in the data structure overlaps a subject-matter of another data store in the data structure, and wherein the particular data store and said another data store are data repositories of different sets of integrated text files; associating, by the processor, the synthetic context-based object with at least one specific data store, wherein said at least one specific data store comprises data that is associated with data contained in the non-contextual data object and the context object; receiving, from a computer hardware system configured to request data, a request for data from said at least one specific data store that is associated with the synthetic context-based object; and returning, to the computer hardware system configured to request data, data from said at least one specific data store that is associated with the synthetic context-based object. 3. The processor-implemented method of claim 1 , wherein the specific subject-matter for a particular data store in the data structure is exclusive to only said particular data store. | 0.772953 |
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